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Free Download Presentation Expert Ai & Gpt, Pitch Decks, Business Speech
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.99 GB | Duration: 2h 13m
AI and ChatGPT Usage in Business Presentations Preparing. Pitch Decks, Business Presenting, Management Communications

What you'll learnFormula of a compelling budget pitch
Killer argumentation
Logical storytelling
Impactful visualization
Building a Business Case
Startup Pitch Deck
AI & GPT usage
RequirementsFor a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.
DescriptionWelcome to course: Presentation Expert: AI & GPT, Pitch Decks, Business Speech by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 215 countries and has been chosen by more than 590 000 students with more than 3.2 mln. registrations to our courses.Course Authors:1. Vipesh Singla, MBA, Agile Enterprise Coach, AI ExpertEmbark on a journey of transformation with Vipesh Singla, a seasoned Agile Enterprise Coach with an impressive track record. Certified and licensed as a SAFe Agile Coach and SAFe Practice Consultant, I bring a wealth of experience to the table.Throughout my career, I have played pivotal roles in Agile Transformations and Product Management Assignments for a diverse array of Global 2000 companies. Notably, I've collaborated with esteemed clients and employers from prestigious groups such as GAFAM, Big 4, Big Tech, Big Pharma, Fortune 100, and FTSE 100. My versatility shines through various roles, including Product Manager, Product Owner, Scrum Master, and Agile Coach.Education forms the foundation of my expertise, holding both an MBA and a Bachelor of Engineering degree from one of India's prestigious institutes. As a certified SAFe SPC/Agile Coach, I bring a proven track record of driving successful Agile transformations.With a track record that speaks volumes, I am proud to be at the forefront of Agile and Scrum coaching. Boasting a remarkable achievement of over 30,000 registrations across all my programs, I have had the privilege of influencing and guiding a diverse community of 18,000 unique students.My digital presence extends globally, reaching enthusiasts and professionals in 152 countries. This widespread outreach has allowed me to connect with a vast audience, transcending language barriers. Our community is not confined to English alone; we thrive in a multilingual environment, with students conversing in 42 languages.As an Agile Enterprise Coach, my commitment is to empower individuals worldwide with the knowledge and skills necessary for success in the dynamic field of product management. Join me on this transformative journey, and let's navigate the realm of Agile Product Management together.2. Olga Araz, experienced leader in business presentations.Olga is a renowned presentation strategist and founder of a large presentation agency. With 15+ years of experience in strategic consulting, Olga has honed her skills in creating and delivering compelling presentations to top management.Today, Olga works with leading executives, entrepreneurs, and organizations to help them achieve their goals through persuasive presentations. Her extensive experience and success in the field have earned her a reputation as a top presenter and presentation coach in the industry.Olga also shares her expertise as a lecturer at University, where she teaches presentation skills to undergraduate and graduate students. Her exceptional teaching style has earned her a spot among the top five professors at the economical faculty of the University.With Olga as your instructor, you can expect to learn from a true expert in the field of presentation strategy. Her unique blend of hands-on experience and teaching skills will equip you with the knowledge and skills you need to succeed in creating and delivering persuasive presentations.3. Max Kalyuzhnyi, experienced entrepreneur and CFOWith over 10 years of experience in finance, investing, and entrepreneurship, I am the founder of Domicile0, a self-service platform that enables tax compliance in a borderless world. I am also an ACCA member, a CFA level III candidate, fellow of Antler entrepreneurship program and a resident of Startup Lisboa, a leading incubator for early-stage startups in Portugal.In addition to Domicile0, I am a co-owner and former CFO/B2B of Yasno live, one of the largest online therapy marketplaces in the world, with over 30,000 active clients and 300 B2B partners. I helped Yasno grow its revenue, expand its market, and secure funding from reputable investors. I am passionate about building solutions that improve the well-being and mobility of people across the globe.A pitch deck is a concise and visually engaging presentation that is typically used in business settings to convey a company's or project's key information, value proposition, and investment opportunity. Pitch decks are primarily used when seeking investments, partnerships, or to secure new clients. They serve as a persuasive tool to convey the essence of your business or idea quickly and effectively. A well-crafted pitch deck can make a significant difference in the success of a business, startup, or project.Here are the key components and the needs of usage for a pitch deck in a business context:Introduction: Start with a compelling introduction that grabs the audience's attention and provides an overview of your business or project.Problem Statement: Clearly define the problem or need that your product or service addresses. This sets the stage for why your business is relevant.Solution: Present your solution and how it addresses the identified problem. Explain how your product or service works and what makes it unique.Market Opportunity: Describe the market size and potential for your business. This includes the target audience and its demographics.Business Model: Explain how your business will generate revenue, your pricing strategy, and the sales channels you plan to use.Traction: Showcase any significant achievements, customer testimonials, or partnerships to build credibility.Competitive Analysis: Identify your competitors and explain how your business is positioned relative to them. Highlight your competitive advantages.Team: Introduce your team and their relevant experience. This builds trust and confidence in your ability to execute the business plan.Financial Projections: Present your financial forecasts, including revenue, expenses, and profitability projections. This demonstrates the potential for a return on investment.Ask: Clearly state what you are seeking from your audience, whether it's investment, partnership, or something else.The skills related to pitching, business presenting, and business communication are important for experts and companies for several reasons:Securing Funding: Effective pitching skills are crucial when seeking investments or funding. A well-presented pitch deck can significantly increase the chances of attracting investors.Building Credibility: Strong presentation skills can help a company or individual build credibility with clients, partners, and stakeholders. A professional presentation conveys competence and confidence.Effective Communication: Business communication skills are essential for conveying ideas, plans, and strategies within a company. Clear and persuasive communication can drive team alignment and enhance productivity.Client Acquisition: In sales and client-facing roles, effective presentation and communication skills can help in acquiring new clients or customers. It can make the difference between a successful pitch and a missed opportunity.Career Advancement: For individuals, mastering these skills can lead to career advancement. Professionals who can effectively communicate their ideas and lead presentations tend to stand out and progress in their careers.Team Collaboration: Effective communication and presentation skills are essential for collaboration within teams. They help in conveying objectives, sharing updates, and ensuring everyone is on the same page.Strong understanding of pitching, business presenting skills, and business communication skills is crucial in today's competitive business environment. These skills not only enable companies to attract investments, win clients, and build credibility but also support the career growth of individuals. A combination of these skills can lead to more successful and impactful business endeavors.
OverviewSection 1: Introduction
Lecture 1 Onboarding to learning process
Section 2: Pitch Decks: Business Presentation and Communication
Lecture 2 Day I - Pitch
Lecture 3 Day II - Problem
Lecture 4 Day III - Client
Lecture 5 Day IV - Why now?
Lecture 6 Day V - Market
Section 3: Business Presentations with a winning pitch
Lecture 7 Formula of a compellig pitch
Lecture 8 Killer Argumentation
Lecture 9 Killer Argumentation: Case Study
Lecture 10 Logical Storytelling
Lecture 11 Logical Storytelling: Case Study
Lecture 12 Impactful Visualisation
Lecture 13 Impactful Visualisation: Case Study
Lecture 14 Congratulations!
Section 4: AI & ChatGPT usage for preparing of presentations
Lecture 15 Create ChatGPT Account
Lecture 16 ChatGPT Prompt Template for Crafting PowerPoint Outline
Lecture 17 Enhancing Presentation Design using PowerPoint Designer
Lecture 18 Generate a Presentation Outline using ChatGPT v0.1
Lecture 19 Move Presentation Content from ChatGPT to PowerPoint using VBA
Lecture 20 Write ChatGPT Prompt for Crafting Outline for a Presentation V0.4
Section 5: Interactive part
Lecture 21 Interactive Part
Lecture 22 Congratulations with finishing from MTF
No special requirements. Course for any who want to build a career at business domains or improve their knowledge.

Homepage

https://www.udemy.com/course/presentation-expert-ai-gpt-pitch-decks-business-speech/

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Free Download Preventing And Combating School Bullying Cyberbullying Awar
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.24 GB | Duration: 2h 10m
What if I'm Being Cyberbullied?

What you'll learn
Are you tired of witnessing the devastating effects of school bullying and its rapid evolution into the digital realm?
Do you want to equip yourself with the knowledge, strategies, and tools to effectively prevent and combat this pervasive issue?
Look no further! In this comprehensive online course, "Preventing and Combating School Bullying
Cyberbullying Awareness and Solutions," we delve deep into the intricate world of cyberbullying - its challenges, impact, and most importantly, how to tackle it
Requirements
In order to successfully complete the course on "Preventing and Combating School Bullying: Understanding,
Description
Are you tired of witnessing the devastating effects of school bullying and its rapid evolution into the digital realm? Do you want to equip yourself with the knowledge, strategies, and tools to effectively prevent and combat this pervasive issue? Look no further! In this comprehensive online course, "Preventing and Combating School Bullying: Cyberbullying Awareness and Solutions," we delve deep into the intricate world of cyberbullying - its challenges, impact, and most importantly, how to tackle it head-on.This course is meticulously designed to provide you with a detailed understanding of cyberbullying - from its root causes to the latest trends. We leave no stone unturned in exploring the psychological and emotional consequences faced by victims while shedding light on the alarming rise of cyberbullying incidents.But it doesn't stop there. We go beyond awareness by equipping you with practical strategies and effective countermeasures. You'll gain invaluable insights into identifying warning signs, implementing preventive measures, fostering a safe online environment, and intervening when necessary. Our expert-led modules will empower you to take action against cyberbullying through evidence-based techniques that promote empathy, inclusivity, and respect.Not only will you emerge as a knowledgeable advocate against cyberbullying but also as a protector of vulnerable individuals within your community. By joining this course, you're investing in a brighter future where every student can thrive without fear or intimidation.Don't miss out on this life-changing opportunity! Enroll now in "Preventing and Combating School Bullying: Cyberbullying Awareness and Solutions" to become an influential force in eradicating cyberbullying once and for all. Together, let's create a safer digital landscape for our children!
Overview
Section 1: Introduction
Lecture 1 Vidéo
Lecture 2 Introduction
Lecture 3 Course Outcomes
Lecture 4 Course Requirements
Lecture 5 Audience Persona
Lecture 6 Welcome Email
Section 2: Introduction to School Bullying and Cyberbullying
Lecture 7 Vidéo Introduction to School Bullying and Cyberbullying
Lecture 8 Understanding school bullying
Lecture 9 Recognizing the prevalence of cyberbullying
Lecture 10 Exploring the impact of cyberbullying on students
Section 3: Types and Forms of Cyberbullying
Lecture 11 Defining cyberbullying and its unique characteristics
Lecture 12 Identifying different types of cyberbullying
Lecture 13 Exploring common platforms used for cyberbullying
Section 4: Identifying Signs and Effects of Cyberbullying
Lecture 14 Recognizing signs that a student may be experiencing cyberbullying
Lecture 15 Understanding the emotional and psychological effects of cyberbullying
Lecture 16 Exploring the connection between cyberbullying and mental health
Section 5: Legal and Ethical Considerations of Cyberbullying
Lecture 17 Vidéo Legal and Ethical Considerations of Cyberbullying
Lecture 18 Understanding the legal implications of cyberbullying
Lecture 19 Exploring the role of schools and educators in addressing cyberbullying
Lecture 20 Analyzing ethical considerations in dealing with cyberbullying incidents
Section 6: Strategies for Prevention and Intervention
Lecture 21 Vidéo Strategies for Prevention and Intervention
Lecture 22 Implementing proactive strategies to prevent cyberbullying
Lecture 23 Developing effective school-wide policies and programs
Lecture 24 Understanding intervention strategies to support victims and address perpetrator
Section 7: Creating a Cyber-Safe School Environment
Lecture 25 Vidéo Creating a Cyber-Safe School Environment
Lecture 26 Promoting digital citizenship and online safety education
Lecture 27 Developing secure and monitored technology systems
Lecture 28 Engaging parents and the community in the prevention of cyberbullying
Section 8: Building Resilience and Empathy
Lecture 29 Vidéo Building Resilience and Empathy
Lecture 30 Fostering resilience in students affected by cyberbullying
Lecture 31 Promoting empathy and kindness among students
Lecture 32 Equipping students with coping strategies and skills
Section 9: Effective Communication and Reporting
Lecture 33 Developing open channels of communication in the school community
Lecture 34 Teaching students how to effectively report cyberbullying incidents
Lecture 35 Training educators on appropriate responses and documentation
Section 10: Supporting Targeted Students and Bystanders
Lecture 36 Providing effective support to victims of cyberbullying
Lecture 37 Empowering bystanders to become upstanders
Lecture 38 Implementing restorative practices and conflict resolution strategies
Section 11: Evaluating and Sustaining Bullying Prevention Efforts
Lecture 39 Vidéo Effective Communication and Reporting
Lecture 40 Monitoring and evaluating the effectiveness of prevention programs
Lecture 41 Adapting strategies to evolving technologies and cyberbullying trends
Lecture 42 Ensuring sustainability of anti-cyberbullying initiatives
Section 12: What if I'm Being Bullied?
Lecture 43 What can you do if you're bullied?
Lecture 44 Bullying quiz
Lecture 45 YOUNG PEOPLE ASK What if I'm Being Cyberbullied?
This course is designed for individuals who are interested in gaining a comprehensive understanding of school bullying and cyberbullying.
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https://www.udemy.com/course/preventing-and-combating-school-bullying-cyberbullying-awar/

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Free Download Primavera P6 For Project Management A Complete Online
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 290.89 MB | Duration: 0h 55m
Learn to Manage Projects Efficiently with Primavera P6-Master Scheduling, Resource Allocation, and Project Tracking

What you'll learn
Project Setup and Navigation
Scheduling and Resource Management
Progress Tracking and Reporting
Advanced Project Controls and Risk Management
Requirements
Basic Project Management Knowledge
Computer Skills
Description
Unlock the full potential of Primavera P6 with this comprehensive online training course! Designed for project managers, engineers, planners, and anyone looking to elevate their project management skills, this course covers everything you need to manage projects effectively-from setup to advanced scheduling and resource allocation. With hands-on exercises and real-world scenarios, you'll gain practical experience to confidently plan, track, and report on your projects.What You'll LearnProject Setup and Navigation: Start with the basics by creating new projects, defining calendars, and structuring work breakdown systems (WBS) for efficient project setup.Scheduling and Resource Management: Develop an effective schedule, assign resources, apply critical path analysis, and optimize timelines for project success.Progress Tracking and Reporting: Learn how to track project progress, compare actual vs. planned performance, and generate insightful reports to keep stakeholders informed.Advanced Features and Risk Management: Explore advanced scheduling techniques, integrate risk management, and leverage Primavera's powerful tools for multi-project management.Why Take This Course?Beginner-Friendly: No prior Primavera experience is required, although a basic understanding of project management is beneficial.Hands-On Learning: Each module includes practical exercises and real-life scenarios for a better grasp of each concept.Flexible Online Format: Learn at your own pace and revisit lessons as needed with lifetime access to course content.Professional Growth: Boost your project management expertise, making you a more valuable asset to your organization and opening doors to new career opportunities.Who This Course Is ForProject Managers looking to streamline project timelines and improve resource managementConstruction Managers handling complex scheduling and resource allocationEngineers and Planners aiming to enhance project control and scheduling expertiseAnyone interested in building a strong foundation in project management with Primavera P6Enroll today and take your project management skills to the next level with the industry-standard Primavera P6!
Overview
Section 1: Introduction
Lecture 1 How to Create Enterprise Project Structure (EPS)
Lecture 2 Organizational Breakdown Structure (OBS)
Lecture 3 Creating a Project
Lecture 4 L4_Project Settings
Lecture 5 Create and Manage WBS
Lecture 6 Adding Activities
Lecture 7 Activity Type
Lecture 8 Percent Complate Type
Lecture 9 Activity Steps
Lecture 10 Create and Manage Calenders
Lecture 11 Assign Calendars and Fill Down
Project Managers,Construction Managers,Engineers,Planners and Schedulers,Engineering Students,Oil and Gas
Screenshot
Homepage

https://www.udemy.com/course/primavera6/

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Free Download Primavera P6 Project Planning and Scheduling Masterclass
Last updated 9/2024
Created by Basharat Bhatti
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 45 Lectures ( 16h 24m ) | Size: 6.6 GB

Master Primavera P6 Project Management Skills using the Primavera P6 Training - Be an Expert at Primavera P6 Software!
What you'll learn
Earn (16) Project Management Institute, PMI-PMP PDUs
All you need to become a capable and professional project scheduler using the Oracle Primavera P6
Become one of the top Primavera P6 users in your project team
Carry out regular project planning & scheduling tasks faster than ever before
Discover how to value your projects by learning Primavera P6 and many other features
Earned value management, monitoring projects using S-Curves
Managing project risks using primavera p6 professional
Learn to build a complete project schedule from scratch
Requirements
No previous experience with Oracle Primavera P6 required
An open mind and a willingness to learn Primavera P6!
A laptop, tablet, smartphone or Ipad
A good pair of headphones
Description
You want to learn how to use Primavera P6 Professional Project Management Software, right?Start using the Primavera P6 Professional to create, manage, monitor and control your project schedules likes a pro today!Either you're completely brand new, or you've played around with the Primavera P6 but want to get more comfortable with Primavera P6 Project Management Software. Either way, this course will be great for you.Primavera P6 is the world's #1 project schedule management software application and this full course is the best way to learn how to use it.Create, and plan your project schedules the way you expect them!Get Instant access to:14+ hours of easy-to-watch video lessonsEasy to follow project example to get along with the lessonsPremium instructor support if you ever get stuckLifetime updates to Primavera P6 Professional course updatesIn this course, you'll gain access to premium video lessons that break down the core concepts behind the most popular project schedule management software. These lessons are designed for all type of learners, and they're comprehensive enough to leave you with a full understanding of each topic.These lessons are detailed, which means you'll get a chance to practice everything you learn and build your concepts even as you're getting to grips with Primavera P6 Professional Project Management software.Download and Install Primavera P6 Professional Software. Within the course, you'll be presented with the instructions to download and install the Primavera P6 professional software (trial version) so that you can practice and learn as needed!I'll be teaching the course using the latest Primavera P6 professional software, but if you have a previous version, you can still learn to create your project schedules like a pro.Please note .I'll be here for you every step of the way. If you have any questions about the course content or anything related to this topic, you can always post a question in the course discussion area or can also send me a direct message.I want to make this the best course, on how to use the Primavera P6 Professional project management software for your projects. So if there is any way I can improve this course, just let me know and I'll try to make it happen.What is this Primavera P6 course all about?In this complete training to the Primavera P6 project management software, you'll not only learn most of the tools available in Primavera P6, but also learn how to plan, schedule, monitor and control your projects, within your organization, industry or the service sector you are currently working with.This course will cover everything you need to know to start, including:Primavera P6 core conceptsGetting started with Primavera P6 ProfessionalNavigating and customizing the workspaceUnderstanding the Primavera P6 main menuCarry out regular project planning and scheduling tasks faster than beforeLearn to build a complete project schedule from scratchUpdating and maintaining scheduleMonitoring and controlling project schedulesProjects performance monitoring - Printing reports, and much more .Key course topicsThis course may be designed for all levels but it's also designed to leave you equipped with pro-level techniques and the confidence to apply them while managing your projects. Throughout this course, you'll learn how to work with and master the following topics:Enterprise Project Structure (EPS)Organization Break Down Structure (OBS)Work Break Down Structure (WBS)Activities and RelationshipsActivity CodesCalendarsConstraintsRoles and ResourcesCostBaselinesProject status updateEarned Value Management (EVM)Earned Value Analysis (EVA)S CurvesRisk ManagementProject ReportsBy the end of this course, your confidence as a Primavera P6 Professional software user will rise. You'll have a thorough understanding of how to use the Primavera P6 Professional for your projects planning and scheduling or as a career opportunity as well.Master the most powerful and robust Primavera P6 Project Management software today!Primavera P6 is a powerful project planning and schedule monitoring tool that you can start mastering today with the help of this course. With lessons and support at every step - you'll soon be on your way to creating incredible project schedules using the Primavera P6 Professional software.Go ahead and click the enroll button, and I'll see you in the class Now!Good luck,Basharat Bhatti
Who this course is for
People working on the Projects
Managers, Project Management Professionals, Project Schedulers and Planners
Anyone, Oracle Primavera P6 software learners
Homepage

https://www.udemy.com/course/primavera-p6-learning-foundations/

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Free Download Principles Of Governance In Generative AI
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.94 GB | Duration: 16h 57m
Navigating Risks, Compliance, and Ethics for Responsible Generative AI

What you'll learn
The Fundamentals of Generative AI (GenAI): Understand the core concepts and transformative potential of GenAI technology.
The Importance of Governance in AI: Explore why governance frameworks are essential for managing AI innovations responsibly.
Risk Identification and Management: Learn to identify, assess, and mitigate risks associated with deploying GenAI systems.
Third-Party Risk Management: Gain insight into evaluating and monitoring external partnerships to reduce third-party risks.
Vendor Compliance Strategies: Develop skills to ensure that vendors align with governance and security policies.
Data Leakage Prevention: Understand the risks of data leakage and explore methods to protect sensitive information in AI workflows.
Data Governance Frameworks: Learn how to define data ownership, stewardship, and retention policies for AI systems.
Regulatory Compliance in AI: Explore key regulations affecting GenAI, including strategies for managing compliance across jurisdictions.
Access Control Implementation: Gain practical insights into role-based access controls to secure GenAI applications.
User Awareness and Training Programs: Discover effective strategies for developing user training and awareness initiatives.
Monitoring User Behavior: Learn how to monitor GenAI system usage to detect anomalies and prevent misuse.
Identity Governance for AI Systems: Understand how to manage user identities and authentication securely in AI platforms.
Incident Response Planning: Develop strategies to respond effectively to AI-related incidents and conduct post-incident analysis.
Ethical Considerations in GenAI: Explore the ethical challenges in AI governance, focusing on transparency, fairness, and bias mitigation.
Governance of Approved Applications: Learn how to evaluate and update approved GenAI tools to align with evolving policies.
Future Trends in GenAI Governance: Gain insights into emerging technologies, AI regulation trends, and the future of AI governance practices.
Requirements
No Prerequisites.
Description
This course offers a comprehensive exploration of governance frameworks, regulatory compliance, and risk management tailored to the emerging field of Generative AI (GenAI). Designed for professionals seeking a deeper understanding of the theoretical foundations that underpin effective GenAI governance, this course emphasizes the complex interplay between innovation, ethics, and regulatory oversight. Students will engage with essential concepts through a structured curriculum that delves into the challenges and opportunities of managing GenAI systems, equipping them to anticipate risks and align AI deployments with evolving governance standards.The course begins with an introduction to Generative AI, outlining its transformative potential and the importance of governance to ensure responsible use. Participants will examine key risks associated with GenAI, gaining insight into the roles of various stakeholders in governance processes. This early focus establishes a theoretical framework that guides students through the complexities of managing third-party risks, including the development of vendor compliance strategies and continuous monitoring of external partnerships. Throughout these sections, the curriculum emphasizes how thoughtful governance not only mitigates risks but also fosters innovation in AI applications.Participants will explore the intricacies of regulatory compliance, focusing on the challenges posed by international legal frameworks. This segment highlights strategies for managing compliance across multiple jurisdictions and the importance of thorough documentation for regulatory audits. The course also covers the enforcement of access policies within GenAI applications, offering insight into role-based access and data governance strategies that secure AI environments against unauthorized use. These discussions underscore the need for organizations to balance security and efficiency while maintaining ethical practices.Data governance is a recurring theme, with modules that explore the risks of data leakage and strategies for protecting sensitive information in GenAI workflows. Students will learn how to manage data rights and prevent exfiltration, fostering a robust understanding of the ethical implications of data use. This section also introduces students to identity governance, illustrating how secure authentication practices and identity lifecycle management can enhance the security and transparency of AI systems. Participants will be encouraged to think critically about the intersection between privacy, security, and user convenience.Risk modeling and management play a central role in the curriculum, equipping students with the tools to identify, quantify, and mitigate risks within GenAI operations. The course emphasizes the importance of proactive risk management, presenting best practices for continuously monitoring and adapting risk models to align with organizational goals and ethical standards. This focus on continuous improvement prepares students to navigate the dynamic landscape of AI governance confidently.Participants will also develop skills in user training and awareness programs, learning how to craft effective training initiatives that empower users to engage with GenAI responsibly. These modules stress the importance of monitoring user behavior and maintaining awareness of best practices in AI governance, further strengthening the theoretical foundation of the course. Through this emphasis on training, students will gain practical insights into how organizations can foster a culture of responsible AI use and compliance.As the course concludes, students will explore future trends in GenAI governance, including the integration of governance frameworks within broader corporate strategies. The curriculum encourages participants to consider how automation, blockchain, and emerging technologies can support AI governance efforts. This forward-looking approach ensures that students leave with a comprehensive understanding of how governance practices must evolve alongside technological advancements.This course offers a detailed, theory-based approach to GenAI governance, emphasizing the importance of thoughtful risk management, compliance, and ethical considerations. By engaging with these critical aspects of governance, participants will be well-prepared to contribute to the development of responsible AI systems, ensuring that innovation in GenAI aligns with ethical principles and organizational goals.
Overview
Section 1: Course Resources and Downloads
Lecture 1 Course Resources and Downloads
Section 2: Introduction to Generative AI (GenAI) Governance
Lecture 2 Section Introduction
Lecture 3 What is Generative AI?
Lecture 4 Case Study: Bridging Creativity and Ethics in Digital Art and Music
Lecture 5 The Importance of Governance in GenAI
Lecture 6 Case Study: Navigating GenAI Governance
Lecture 7 Overview of GenAI Risks
Lecture 8 Case Study: Navigating Ethical and Practical Challenges in Generative AI
Lecture 9 Key Stakeholders in GenAI Governance
Lecture 10 Case Study: Navigating GenAI in Healthcare
Lecture 11 Governance Frameworks for GenAI
Lecture 12 Case Study: Building Ethical AI
Lecture 13 Section Summary
Section 3: Understanding Third-Party Risk Management in GenAI
Lecture 14 Section Introduction
Lecture 15 Defining Third-Party Risk
Lecture 16 Case Study: Navigating Third-Party Risks
Lecture 17 Identifying and Assessing Third-Party Risks
Lecture 18 Case Study: Managing Third-Party Risks in Generative AI
Lecture 19 Mitigating Third-Party Risks in GenAI Applications
Lecture 20 Case Study: Enhancing Third-Party Risk Management in AI
Lecture 21 Vendor Compliance in GenAI Systems
Lecture 22 Case Study: Mastering Vendor Compliance
Lecture 23 Continuous Monitoring of Third-Party Relationships
Lecture 24 Case Study: Enhancing GenAI Innovation
Lecture 25 Section Summary
Section 4: Data Leakage Protection in GenAI Systems
Lecture 26 Section Introduction
Lecture 27 Understanding Data Leakage in GenAI
Lecture 28 Case Study: Addressing Data Leakage in Generative AI
Lecture 29 Data Leakage Risks in Generative AI Models
Lecture 30 Case Study: Navigating Data Privacy Challenges in Generative AI
Lecture 31 Protecting Sensitive Data in GenAI Workflows
Lecture 32 Case Study: Balancing Innovation and Security
Lecture 33 Data Rights Management in GenAI
Lecture 34 Case Study: Balancing GenAI Innovation and Data Rights
Lecture 35 Preventing Data Exfiltration in GenAI
Lecture 36 Case Study: Strategies for Protecting Sensitive Data in GenAI
Lecture 37 Section Summary
Section 5: Regulatory Compliance in Generative AI
Lecture 38 Section Introduction
Lecture 39 Overview of Regulatory Compliance for AI Systems
Lecture 40 Case Study: Navigating AI Governance
Lecture 41 Key Regulations Affecting GenAI Governance
Lecture 42 Case Study: Navigating GenAI Innovation
Lecture 43 Compliance Strategies for GenAI Applications
Lecture 44 Case Study: Navigating Compliance Challenges in GenAI
Lecture 45 Managing Compliance Across Jurisdictions
Lecture 46 Case Study: Navigating AI Innovation and Compliance
Lecture 47 Reporting and Documentation for Regulatory Audits
Lecture 48 Case Study: Navigating Compliance
Lecture 49 Section Summary
Section 6: Enforcing Access Policies for GenAI Applications
Lecture 50 Section Introduction
Lecture 51 Access Control Fundamentals for GenAI
Lecture 52 Case Study: Adaptive Access Control Strategies for GenAI
Lecture 53 Implementing Role-Based Access in GenAI
Lecture 54 Case Study: Enhancing Security
Lecture 55 Restricting Unauthorized Access to GenAI Tools
Lecture 56 Case Study: Enhancing GenAI Security
Lecture 57 Enforcing Data Access Policies
Lecture 58 Case Study: Navigating Data Governance in GenAI
Lecture 59 Access Review and Revocation Processes
Lecture 60 Case Study: Optimizing Access Management for GenAI Security
Lecture 61 Section Summary
Section 7: User Awareness and Training for GenAI
Lecture 62 Section Introduction
Lecture 63 The Role of User Training in GenAI Governance
Lecture 64 Case Study: Navigating Ethical Challenges in GenAI
Lecture 65 Developing Effective GenAI User Awareness Programs
Lecture 66 Case Study: Empowering Ethical AI Use
Lecture 67 Common User Missteps in GenAI Usage
Lecture 68 Case Study: Strategic GenAI Integration
Lecture 69 Best Practices for Training on GenAI Use Policies
Lecture 70 Case Study: Navigating Ethical AI Implementation and Training Challenges
Lecture 71 Monitoring and Updating User Training Programs
Lecture 72 Case Study: Enhancing GenAI Integration
Lecture 73 Section Summary
Section 8: Approved and Disapproved GenAI Applications
Lecture 74 Section Introduction
Lecture 75 Identifying Safe GenAI Tools
Lecture 76 Case Study: Navigating Bias and Ethics
Lecture 77 Evaluating GenAI Applications for Governance Compliance
Lecture 78 Case Study: Navigating AI Governance
Lecture 79 Risks of Unapproved GenAI Applications
Lecture 80 Case Study: Navigating Ethical AI
Lecture 81 Approval Processes for GenAI Tools
Lecture 82 Case Study: TechNova's Journey to Responsible GenAI Deployment
Lecture 83 Updating and Communicating Approved Applications
Lecture 84 Case Study: TechNova's Journey in Responsible Innovation and Governance
Lecture 85 Section Summary
Section 9: Identity Governance in GenAI Systems
Lecture 86 Section Introduction
Lecture 87 Understanding Identity Governance for AI
Lecture 88 Case Study: Balancing Privacy, Compliance, and Ethics in Identity Management
Lecture 89 Managing User Identities in GenAI Platforms
Lecture 90 Case Study: Navigating Identity Management Challenges in GenAI
Lecture 91 Ensuring Secure Authentication in GenAI Applications
Lecture 92 Case Study: Balancing Authentication, User Convenience, and Privacy
Lecture 93 Identity Lifecycle Management in GenAI
Lecture 94 Case Study: Navigating Identity Lifecycle Management in Generative AI Systems
Lecture 95 Addressing Identity Risks in GenAI
Lecture 96 Case Study: Identity Governance Challenges in GenAI
Lecture 97 Section Summary
Section 10: Risk Modeling and Management for GenAI
Lecture 98 Section Introduction
Lecture 99 Introduction to Risk Modeling in GenAI
Lecture 100 Case Study: Navigating Risks in Generative AI
Lecture 101 Identifying Key Risks in GenAI Operations
Lecture 102 Case Study: Balancing Innovation, Bias Mitigation, and Workforce Stability
Lecture 103 Quantifying and Prioritizing GenAI Risks
Lecture 104 Case Study: Balancing Innovation with Ethical Risk Management at TechNova
Lecture 105 Strategies for Mitigating GenAI Risks
Lecture 106 Case Study: Navigating Ethical and Operational Challenges in GenAI Deployment
Lecture 107 Monitoring and Adapting Risk Models
Lecture 108 Case Study: TechNova's Holistic Approach to Risk Management and Innovation
Lecture 109 Section Summary
Section 11: Data Governance for Generative AI Systems
Lecture 110 Section Introduction
Lecture 111 The Importance of Data Governance in GenAI
Lecture 112 Case Study: Navigating Data Governance and Ethics in GenAI
Lecture 113 Defining Data Ownership and Stewardship in GenAI
Lecture 114 Case Study: Navigating Data Governance Challenges in GenAI
Lecture 115 Data Integrity and Accuracy in GenAI Systems
Lecture 116 Case Study: TechNova's Journey to Ethical and Reliable AI Data Management
Lecture 117 Policies for Data Retention and Deletion in GenAI
Lecture 118 Case Study: Balancing Compliance and Innovation
Lecture 119 Auditing Data Governance Practices in GenAI
Lecture 120 Case Study: Enhancing Trust through Comprehensive Data Governance in AI
Lecture 121 Section Summary
Section 12: User Behavior Monitoring in GenAI Systems
Lecture 122 Section Introduction
Lecture 123 Monitoring User Activity in GenAI Platforms
Lecture 124 Case Study: MedSys's GenAI Integration in Healthcare Diagnostics
Lecture 125 Identifying Anomalous Behavior in GenAI Use
Lecture 126 Case Study: Enhancing Anomaly Detection in GenAI Systems
Lecture 127 Tools for Tracking GenAI User Activity
Lecture 128 Case Study: Balancing Ethical AI and Privacy
Lecture 129 Privacy Considerations in User Monitoring
Lecture 130 Case Study: Balancing Innovation and Privacy
Lecture 131 Responding to Suspicious Behavior in GenAI
Lecture 132 Case Study: Balancing Trust, Privacy, and Collaborative Defense Strategies
Lecture 133 Section Summary
Section 13: Acceptable Use Policies for GenAI Applications
Lecture 134 Section Introduction
Lecture 135 Defining Acceptable Use for GenAI
Lecture 136 Case Study: Crafting Responsible GenAI Use
Lecture 137 Crafting Comprehensive Use Policies for GenAI
Lecture 138 Case Study: Developing Responsible GenAI Policies
Lecture 139 Educating Users on Acceptable Use Policies
Lecture 140 Case Study: Crafting a Balanced AUP
Lecture 141 Enforcing Acceptable Use Guidelines
Lecture 142 Case Study: Ethical Governance Strategies for GenAI
Lecture 143 Revising Acceptable Use Policies
Lecture 144 Case Study: Navigating AI Ethics
Lecture 145 Section Summary
Section 14: Incident Response and Management for GenAI Systems
Lecture 146 Section Introduction
Lecture 147 Defining GenAI Incidents
Lecture 148 Case Study: Navigating GenAI Challenges
Lecture 149 Incident Response Planning for GenAI Applications
Lecture 150 Case Study: Enhancing GenAI Safety
Lecture 151 Key Steps in Managing GenAI Incidents
Lecture 152 Case Study: TechNova's Strategic Response to GenAI Incident
Lecture 153 Post-Incident Analysis and Reporting
Lecture 154 Case Study: Enhancing AI Governance
Lecture 155 Lessons Learned from GenAI Incidents
Lecture 156 Case Study: Ensuring AI Accountability
Lecture 157 Section Summary
Section 15: Ethical Considerations in GenAI Governance
Lecture 158 Section Introduction
Lecture 159 Ethical Challenges in Generative AI
Lecture 160 Case Study: Navigating Ethical Challenges of GenAI in Newsrooms
Lecture 161 Ensuring Transparency and Fairness in GenAI
Lecture 162 Case Study: Balancing Innovation and Ethics
Lecture 163 Bias Mitigation in GenAI Outputs
Lecture 164 Case Study: Tackling Bias in Generative AI
Lecture 165 Responsible AI Practices and GenAI Governance
Lecture 166 Case Study: TechNova's Journey Towards Responsible Innovation and Governance
Lecture 167 Ethical Audits for GenAI Systems
Lecture 168 Case Study: Navigating Ethical Challenges in Generative AI
Lecture 169 Section Summary
Section 16: Future Trends and Innovations in GenAI Governance
Lecture 170 Section Introduction
Lecture 171 Emerging Technologies in GenAI Governance
Lecture 172 Case Study: Blockchain and Ethical AI
Lecture 173 AI Regulation and Policy Trends
Lecture 174 Case Study: Global AI Regulation
Lecture 175 Integrating AI Governance into Broader Corporate Governance
Lecture 176 Case Study: Integrating AI Governance
Lecture 177 Automation and AI Governance Tools
Lecture 178 Case Study: Navigating AI Governance: Transparency, Fairness, and Privacy
Lecture 179 The Future of GenAI Governance Practices
Lecture 180 Case Study: InnovateAI: Crafting a Global Framework for Responsible GenAI
Lecture 181 Section Summary
Business Leaders and Executives seeking to align AI innovation with governance frameworks and ethical practices.,AI and Data Governance Professionals responsible for developing policies and managing risks associated with Generative AI systems.,Compliance Officers and Legal Advisors aiming to understand the regulatory landscape and ensure compliance with AI laws across jurisdictions.,IT Managers and System Administrators involved in the implementation, monitoring, and security of AI platforms.,Risk Management Professionals looking to enhance their skills in assessing and mitigating risks specific to AI technologies.,Educators and Researchers in AI Ethics and Policy interested in the latest governance strategies and frameworks for responsible AI use.,Tech Enthusiasts and Consultants who want to stay ahead of trends in AI governance to better advise businesses and organizations.
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Free Download Principles and Practices of the Generative AI Life Cycle
Published 10/2024
Created by YouAccel Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 182 Lectures ( 17h 10m ) | Size: 4.62 GB

Explore key concepts, methodologies, and best practices for every stage of the GenAI life cycle.
What you'll learn
Key Phases of the GenAI Life Cycle: Understand the core stages of the generative AI life cycle and their significance in successful AI deployment.
The Role of Governance in AI Projects: Learn about governance frameworks to ensure ethical and regulatory alignment throughout the AI life cycle.
Problem Identification and Requirement Gathering: Explore strategies for defining problems and aligning GenAI solutions with business goals.
Data Types and Acquisition Strategies: Gain insights into selecting and acquiring the right data for GenAI model development.
Ensuring Data Quality and Ethics: Understand the importance of data accuracy, quality, and ethical considerations during the collection process.
GenAI Model Design and Selection: Learn to select the most suitable generative AI models for different tasks and design custom models.
Optimizing Model Performance: Discover techniques for tuning and optimizing models to achieve peak performance.
Training Data Preparation and Monitoring: Explore how to prepare and select training data and monitor the training process to avoid common pitfalls.
Deploying and Integrating GenAI Models: Learn best practices for integrating generative AI into existing systems and managing change effectively.
Continuous Monitoring and Model Maintenance: Understand the tools and metrics needed to monitor performance and handle model drift over time.
Data Privacy and Cybersecurity Measures: Gain insights into safeguarding models and data from cyber threats and ensuring compliance with privacy regulations.
Auditing and Reporting AI Models: Learn to conduct performance audits, maintain transparency, and document AI life cycles for compliance.
Managing AI Model Updates and Versions: Explore strategies for managing versions and implementing feedback loops for continuous improvement.
Decommissioning AI Models: Understand when and how to retire models ethically while ensuring proper data and model archival strategies.
User Feedback and Iterative Development: Learn to incorporate user feedback and manage iterative development cycles for ongoing improvements.
Future Trends in GenAI Life Cycle Management: Gain insights into emerging technologies, AI governance trends, and innovations shaping the future of GenAI.
Requirements
No Prerequisites.
Description
This course provides a comprehensive exploration of the generative AI (GenAI) life cycle, offering students a robust understanding of the key principles and processes involved in developing, deploying, and maintaining GenAI models. Designed to provide a theoretical foundation, the course emphasizes the strategic aspects of each phase in the GenAI life cycle, ensuring participants gain a nuanced perspective of how generative AI evolves from concept to deployment and beyond.Students begin by exploring the GenAI life cycle, understanding its phases, and grasping why effective management is crucial to ensuring both operational success and ethical integrity. This introductory section establishes a baseline for the more detailed discussions to come, guiding participants through the various roles that stakeholders play and the essential governance frameworks that maintain alignment with regulatory standards and organizational goals.The journey continues with an in-depth analysis of problem identification and requirement gathering. Here, students learn the importance of aligning AI capabilities with business objectives, as well as the techniques for collecting and validating functional requirements with relevant stakeholders. The focus on these initial phases emphasizes the significance of groundwork in ensuring GenAI projects are goal-oriented and feasible.As students move into the stages of data collection and preparation, they engage with the critical role that data plays in training effective GenAI models. Topics such as data sourcing, quality assurance, and ethical considerations ensure participants develop a deep awareness of the complexities involved in data management for AI. The course introduces students to preprocessing techniques essential for transforming raw data into valuable training inputs, reinforcing the importance of careful preparation in achieving desired outcomes.In subsequent sections, the course delves into the intricacies of model design, selection, and optimization. Students gain insights into the architectural choices for GenAI models, alongside strategies for selecting and designing models tailored to specific tasks. Performance tuning and stakeholder validation are also explored, emphasizing the collaborative and iterative nature of GenAI development. The discussions on model training build on these concepts, highlighting the technical challenges and troubleshooting strategies necessary to refine models effectively.The deployment phase addresses the complexities of integrating GenAI systems into existing infrastructures and ensuring scalability. Students learn how to prepare for deployment, manage change, and implement continuous monitoring processes post-deployment. Emphasis is placed on the importance of real-time monitoring to detect issues such as model drift, providing insights into how organizations can maintain optimal performance throughout the model's lifecycle.The course also covers data and model security, focusing on safeguarding models from cyber threats and ensuring compliance with data privacy regulations. Techniques such as encryption, incident response, and security control implementation offer participants practical strategies to secure GenAI applications. Model auditing and reporting are presented as essential tools for promoting transparency, documenting compliance, and building stakeholder trust.Long-term model maintenance and eventual decommissioning are also discussed, providing students with insights into how models are updated, managed, and retired in a controlled and ethical manner. This section highlights the importance of feedback loops, version control, and strategic model updates in ensuring continued relevance and operational efficiency.The course concludes with a look into future trends and the evolving landscape of GenAI life cycle management. Topics include the impact of emerging technologies, the role of automation in lifecycle processes, and the shift toward AI-driven governance. These discussions encourage students to think critically about the future of generative AI and its potential to shape industries while maintaining ethical and sustainable practices.Through this comprehensive exploration, students will develop the theoretical understanding necessary to appreciate the intricacies of the GenAI life cycle. This knowledge equips them to engage thoughtfully with the evolving field, fostering an informed perspective on the challenges and opportunities that lie ahead.
Who this course is for
AI Enthusiasts and Tech Professionals - Individuals interested in understanding the complete lifecycle of generative AI models and their practical applications.
Business Leaders and Managers - Professionals seeking to align AI capabilities with business strategies for innovation and competitive advantage.
Data Scientists and AI Developers - Those looking to deepen their knowledge of model selection, optimization, and integration within real-world contexts.
Governance and Compliance Officers - Individuals responsible for implementing AI governance frameworks and ensuring ethical compliance in AI systems.
IT and System Administrators - Professionals managing the deployment, monitoring, and maintenance of AI solutions across organizational infrastructures.
Consultants and Project Managers - Those leading AI initiatives who need a solid grasp of requirement gathering, stakeholder alignment, and lifecycle management.
Students and Academics in AI and Data Science - Learners aiming to build a theoretical foundation in generative AI to support future research or professional practice.
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Free Download Priority Navigator Framework For Effective Decision-Making
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 204.27 MB | Duration: 0h 31m
Mastering the Art of Strategic Initiative Selection

What you'll learn
Identify and prioritize initiatives based on interest, productivity, and influence, ensuring you choose the most impactful and relevant projects or ideas.
Evaluate the efficiency of initiatives using key indicators to measure their relevance to personal or organizational goals and expected outcomes.
Analyze influence dynamics and ease of implementation to determine which initiatives will have the greatest impact and be easiest to execute.
Master a structured decision-making framework that helps you make informed, strategic choices, driving meaningful results in any context.
Requirements
No prior knowledge required-this course is designed for beginners.
Basic understanding of decision-making processes is helpful but not necessary.
Willingness to apply concepts to real-life personal or professional decisions.
Description
Unlock the potential of your decision-making with the Priority Navigator. This course focuses on selecting and prioritizing the right initiatives that will deliver the most significant results, whether for personal projects or in a professional environment. You will learn to apply this model across various contexts, from community organizing to corporate management, empowering you to tackle decision-making challenges with confidence. You will start by delving into the core concepts of the framework, learning how to evaluate initiatives based on their interest, productivity, and influence. Through engaging lessons, real-world examples, and interactive quizzes, you'll enhance your ability to assess initiatives effectively and grasp their dynamics within a broader context. By the end of this course, you will:Systematically prioritize key initiatives through a thorough evaluation process. Assess the effectiveness and relevance of programs using established benchmarks. Identify the most impactful and feasible projects by studying influence dynamics.Develop a structured approach to strategic decision-making that improves your ability to make informed choices. Join us to learn how to select strategic initiatives and gain the knowledge and confidence to make decisions that will positively influence your life, both in business and personally. Whether you aspire to be a better leader, lead community projects, or redesign your business processes, this course will equip you with the tools to navigate tough choices and achieve your objectives.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Where the Priority Navigator Methodology Can Be Used
Section 2: The Methodology
Lecture 3 Three key cornerstones of Priority Navigator Methodology
Lecture 4 Selecting the Most Interesting and Desirable Initiatives
Lecture 5 Evaluating Productivity and Efficiency of Initiatives
Lecture 6 Maximizing Influence and Ease of Implementation
Professionals looking to improve decision-making skills in business or project management.,Entrepreneurs and leaders seeking to prioritize and implement initiatives effectively.,Students or individuals wanting to enhance their strategic thinking and goal-setting abilities.,Anyone interested in learning a structured, practical approach to making impactful decisions in any area of life.


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Free Download Probability Distribution Models
Published 10/2024
Created by Robert (Bob) Steele
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lectures ( 3h 8m ) | Size: 2.27 GB

Mastering the Language of Data: From Distributions to Predictive Models
What you'll learnIdentify various data distributions by examining the shape, center, and spread of datasets in real-world scenarios.
Explain the significance of different data shapes, including symmetric, skewed, and bimodal distributions, in various contexts.
Classify different types of distributions such as Uniform, Poisson, Exponential, and Binomial through theoretical understanding and practical examples.
Analyze datasets to determine the appropriate mathematical models and describe their underlying patterns and behaviors.
Compare the characteristics of different data distributions and their implications in quantitative analysis.
Apply mathematical models to perform quantitative analysis, make predictions, and understand phenomena governing data in real-life situations.
Evaluate the accuracy and relevance of different statistical models in the context of real-world applications, such as predicting sales outcomes or analyzing tr
Create visual and verbal presentations of data analysis results, demonstrating a thorough understanding of data shapes and mathematical models.
RequirementsBasic Mathematical Skills: Familiarity with fundamental mathematical concepts, including basic arithmetic, algebra, and probability.
Introductory Statistics: A foundational understanding of basic statistical concepts, such as mean, median, mode, and standard deviation.
Analytical Thinking: An ability to engage in logical reasoning and problem-solving to analyze data and interpret results.
Computer Literacy: Basic proficiency in using a computer, including the ability to navigate and utilize software tools for data analysis.
Interest in Data Analysis: A keen interest in understanding and working with data, as well as a desire to learn about statistical analysis and mathematical modeling.
Access to a Computer: Participants should have access to a computer for completing course exercises and assignments.
DescriptionWelcome to a journey through the fascinating world of data shapes and mathematical models! In this course, we will embark on a deep dive into the three pivotal pillars of statistical data analysis: Shape, Center, and Spread, unraveling the mysteries behind diverse data distributions.Starting with the Shape of Data, we will explore how data can be represented through various distributions, emphasizing the significance of recognizing and understanding different data shapes in real-world scenarios. Take the corporate world, for example, where salaries often follow a skewed distribution, or the predictable intervals of atom decay, each presenting unique characteristic distributions. Through practical examples and interactive sessions, we will identify and analyze single-peaked histograms, symmetric, skewed, and bimodal distributions, gaining insights into the intrinsic patterns and behaviors of different datasets.Diving deeper, we will introduce and demystify a range of Mathematical Descriptions of Data Shapes. From the simplicity of Uniform Distributions, seen in rolling a fair die, to the complexity of Poisson Distributions, representing events in fixed intervals, we will traverse the landscape of Exponential and Binomial Distributions, uncovering the intricacies of these mathematical models. Each session will be filled with real-life examples, hands-on exercises, and discussions, ensuring that you not only grasp the theoretical aspects but also develop a practical understanding of these concepts.Our journey does not stop at mere identification and description; we delve into the Importance of Mathematical Models, unraveling how they empower us to perform quantitative analysis, make accurate predictions, and gain a profound understanding of the underlying phenomena governing the data. Whether it's predicting sales outcomes, analyzing traffic patterns, or exploring natural occurrences, you will learn to apply these models confidently and accurately.In conclusion, this course is designed to transform your perspective on data, equipping you with the knowledge and skills to analyze, describe, and predict with precision. Whether you are a student stepping into the world of statistics, a professional looking to sharpen your data analysis skills, or simply a data enthusiast eager to understand the language of numbers, this course is your gateway to mastering the art of deciphering data.Join us on this exhilarating adventure through the world of data shapes and mathematical models, and emerge with the tools and confidence to conquer the realm of statistical analysis!
Who this course is forStudents: Those stepping into the world of statistics or pursuing degrees in fields such as mathematics, data science, economics, engineering, or social sciences.
Professionals: Individuals working in fields where data analysis is essential, such as marketing, finance, business analytics, healthcare, and research, looking to sharpen their data analysis skills.
Data Enthusiasts: Anyone with a keen interest in understanding and interpreting data, regardless of their professional background.
Researchers: Academics and scientists who need to analyze data as part of their research work and wish to deepen their understanding of statistical methods.
Educators: Teachers and instructors who teach statistics or data analysis and want to enhance their teaching methodologies with a deeper understanding of data shapes and mathematical models.
Career Changers: Individuals looking to transition into data-related roles and seeking to build a solid foundation in statistical data analysis.
Decision Makers: Managers and executives who want to leverage data-driven insights to inform business strategies and decisions.
Homepage

https://www.udemy.com/course/probability-distribution-models/

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Free Download Process Visualization (Level 3)
Last updated 10/2024
Created by Paul Lynn
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 150 Lectures ( 17h 1m ) | Size: 6.1 GB

Learn HMI / SCADA hands-on by developing your own live interfaces for a running system.
What you'll learn
By the end of this course, you will have created HMI / SCADA interfaces using various technologies allowing operators to interact with a live, running system.
Using the provided PLC program as the basis for our interfaces, you'll be creating graphical interfaces to run the process and log data into a SQL database.
You'll know how to map data between RSLogix 500 projects and several visualization technologies.
You'll have some AMAZING demo projects to show off in interviews.
Requirements
You will need to download a VERY LARGE archive in order to take full advantage of this course. That file is OVER 10gb! The alternative is to download a LOT of software individually and install and configure it all bit by bit. While I DO provide guidance for doing that in the course, I CANNOT provide one-on-one support.
All software required for this course (except for VMWare if you use a Mac) will be provided. That being said, the versions provided are unregistered, not activated and running in demo mode. Continued use of these programs requires purchase, activation and licensure, however all of it will work for a limited time (adequate to complete this course). So you won't have to pay for software to learn, but the software WILL eventually stop working at the end of the various trial periods.
The only software you need to worry about being able to run is VMWare. If you have a Windows PC, you can download VMWare Player for free. If you have a Mac, you will need to purchase a copy of VMWare Workstation... or use a Windows computer.
Familiarity with RSLogix 500, RSLinx and RSLogix 500 Emulate is required for this course.
Description
As a PLC programmer, there are two sides of the coin that you MUST know to get the job done, and those are the PLC and the HMI. In my first two PLC courses (only ten dollars each on PLC Dojo), you learned the ins and outs of PLC and have already created some pretty complex programs to run machines.But if people aren't able to interact with those machines, they aren't going to be of much use! In this course, you're going to learn about HMI and SCADA by creating graphical interfaces operators will use to monitor automated process, establish operating parameters, and even acquire and warehouse data from a running system.There are multiple solutions on the market to accomplish these tasks, and as such, we're going to be covering several. Wonderware (Schneider Electric / Indusoft) is perhaps the top solution in the world of process visualization. As such, we'll be working extensively with that technology, but we won't limit ourselves to a single package.We'll also be working hands-on with InduSoft, EasyBuilder 5000 and AdvancedHMI, and hands-off with FactoryTalk View Studio and C-More so by the end of this course, you're going to actually know and have working experience with most of what people are using in the world of automation today.What's covered in each of the five PLC courses I teach here and on my own PLC Dojo site?PLC Fundamentals (Level 1) teaches you how to program with the focus on ladder logic, which is the most popular PLC programming language. The goal is to teach you everything you need to know to make a PLC do what you want it to do. You are also given all the software necessary to both CREATE and RUN your own programs live - right on your own computer.Applied Logic (Level 2) forces you to take what you've learned and solve problem after progressively harder problem unassisted. You get a spec and are told simply: "Make it work, and don't progress until you have." After, you get to watch me solve each one as well. By the end, you don't just know how to program - you are a PROGRAMMER.Process Visualization (Level 3) gives you both knowledge and experience in FIVE different HMI / SCADA development environments. By the end, you've created several COMPLETE visualization (screen) projects that you can actually run on your own computer (and SHOW PEOPLE in an interview) with no additional hardware.IEC Paradigms (Level 4) is only for the heavyweights. This course teaches you how to program using all five IEC programming languages (plus one more) in multiple environments. There are projects as well, so by the end, you have seen it all and DONE it all as well. There won't be anything anybody can show you that you won't already be familiar with.TIA Portal Master Project (Level 5) is the culmination of everything. In that course, you'll program an entire power plant using all five PLC programming languages (in PARALLEL!) with a full HMI. It's a massive and complex project that really showcases your talents in an interview!
Who this course is for
This course requires students to already know the basics of PLC programming. You should already be familiar with RSLogix 500 memory / IO addresses. As we will be developing interfaces against a running instance of a PLC program running live on RSLogix 500 Emulate, you should already be familiar with that software as well as RSLinx and RSLogix 500.
For those lacking the requisite knowledge to make the most of this course, my first course "PLC Programming from Scratch (PLC I) covers everything you'll need and a whole lot more.
Homepage

https://www.udemy.com/course/hmi-scada/

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Free Download Procreate Easy Painting Megapack - 6 Courses in 1
Published 10/2024
Created by Maurizio De Angelis
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 69 Lectures ( 4h 23m ) | Size: 6.7 GB

6 Comprehensive Classes to Kickstart Your Digital Painting Journey
What you'll learn
Learn the basic of Procreate
Learn how to paint and blend colours
Understand how to achieve difficult shading techniques
Learn how to breakdown a composition
Requirements
An Ipad with Procreate installed
Description
In this Procreate Megapack course you get 6 classes in 1!Organised from easy to more difficult classes, it's a great way to learn the basics of Procreate and digital painting in general. For each class, you can watch each presentation and the first lesson, where you can set up the canvas and download all the materials such as drawings, palette and papers.Here is the course structure:Course A - Composition BreakdownIn this 12 minute lesson you will learn the basic principle of breaking down a composition into small and simple painting steps. Using this method, you will be able to deconstruct any subject from still life to portraits to figures and everything in between. This is a fundamental concept, it's the traditional way the old masters used to create their masterpieces, and if your aim is to learn the basics of painting, you will find this course very useful.Course B - Course B - Go wild with colour in ProcreateIn this course you will learn how to make an illustration pop off the canvas with an unconventional colour scheme! You'll gain confidence in the whole process of creating illustrations in a quirky and attractive style.Course C - Creating a Libretto CoverIn this class we'll be colouring in a cover from the libretto of Madama Butterfly, with the aim of creating an evocative illustration of the main character! You will be able to download the drawing from the resources and start painting with me as we build up the underpainting, establishing the main volume, lights and shadows, and then begin to add the relevant details by increasing the level of description throughout.​​Course D - Mastering the Carbon Stick BrushIn this fascinating course, you'll travel through the bustling streets of London's Columbia Road Flower Market and learn how to capture the spirit of a colourful sign advertising three succulents for a fiver! You'll gain confidence using the Carbon Stick brush in Procreate, unlocking its evocative and visually stunning potential. Starting with canvas setup and brush adjustments, you'll delve into the heart of the composition, painting everything from leaves to petals with precision and flair.Course E - Illustrating Delicious Cookbook ArtThroughout this class we'll be looking at how a marker can be used to create a cookbook illustration! To create such an illustration, we'll use a specific workflow to build up the layers and shades, starting with setting up the canvas and adjusting the brush to get the typical marker effect. Then we paint the sponge and cream layers, treating them differently to reflect their unique textures, then we paint the ganache and fruit on top, and finally we unify the illustration with some ink.Course F - Painting a Sleeping Fox CubIn this more advanced class, we will finally go into the amazing world of naturalistic illustration by creating a sleeping fox cub using the Peppermint brush in Procreate!Ready? Let's dive into it!
Who this course is for
Beginners to Advances users
Homepage

https://www.udemy.com/course/procreate-easy-painting-megapack-6-courses-in-1/

Screenshot

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Free Download Procurement And Strategic Sourcing
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.09 GB | Duration: 2h 52m
Cost Reduction, Risk Mitigation, Souring Strategy and AI

What you'll learn
Learn Strategic Sourcing, Procurement 101
Learn to Manage and Negotiate Contracts, Suppliers and Stakeholders
Create a strategy to create cost savings, reduce risk
Learn to apply Gen AI to your Sourcing Plan
Requirements
No experience necessary, I teach all concept in simple terms with a linear course starting at the ground level.
Description
Instructor Chris Roy, MBA, with two decades in Sourcing & Procurement, will serve as the expert guide throughout this comprehensive course. Students will gain invaluable insights into the intricacies of the Strategic Sourcing and Procurement process, focusing on the entire Procure-to-Pay process with a goal of providing cost savings, mitigating risk & Streamlining contract negotiations.This course offers a deep dive into various critical aspects of Procurement and Strategic Sourcing Strategy. Students will learn how to navigate the complexities of contract negotiations and discover techniques to managing strategic sourcing Projects.Student gain a sneak peek into using Microsoft Application and AI tools to automate Procurement activities. Students will discover how automation and strategic sourcing can lead to substantial cost savings, mitigate risks, and create new opportunities for their organization. Instructor Chris Roy, MBA, with two decades in Sourcing & Procurement, will serve as the expert guide throughout this comprehensive course. Students will gain invaluable insights into the intricacies of the Sourcing and Procurement process, focusing on the entire Procure-to-Pay process with a goal of providing cost savings, mitigating risk & Streamlining contract negotiations.This course offers a deep dive into various critical aspects of Procurement and Strategic Sourcing Strategy. Students will learn how to navigate the complexities of contract negotiations and discover techniques to managing strategic sourcing Projects.Student gain a sneak peek into using Microsoft Application and AI tools to automate Procurement activities. Students will discover how automation and strategic sourcing can lead to substantial cost savings, mitigate risks, and create new opportunities for their organization.
Overview
Section 1: Introduction
Lecture 1 Introduction, Instructor Chris Roy
Lecture 2 Sourcing vs Purchasing
Lecture 3 Requirements - The Banana Demo
Lecture 4 Maximize Buying Power - The Banana Demo Cont.
Lecture 5 Forecast & Budgeting - The Banana Demo Cont.
Lecture 6 Solicitation & Contracting
Lecture 7 Needs Assessment
Lecture 8 Common Supplier Types & Terminology
Lecture 9 Sole vs Single Source Supplier
Lecture 10 Introduction to RFX- Requesting Information
Lecture 11 Introduction to RFX - Requesting Proposals
Lecture 12 Introduction to RFX - Requesting Quotes
Section 2: Contracts & Negotiations
Lecture 13 Common Contract Hierarchy
Lecture 14 Non-Disclosure Agreements
Lecture 15 Master Contracts & Statements of Work
Lecture 16 Change Orders & Amendments
Lecture 17 Termination Rights
Lecture 18 Renewal & In-Term Rights
Lecture 19 Concession Strategy
Lecture 20 Discount & Tiered Pricing Models
Lecture 21 Evaluating Multi Year Discounts
Section 3: Project Management & Business Applications
Lecture 22 Internal Team Building
Lecture 23 Approvals & RACI Matrix
Lecture 24 Building a Requisition Form & Management system
Lecture 25 Blueprint for Automated Reporting Concepts
Section 4: Using AI in Supply Chain (Live Use Case)
Lecture 26 Webinar ChatGPT for Procurement
Anyone interested in Procurement, Strategic Sourcing & Supply Chain. Anyone looking for an edge to obtain employment or if you are an employer this course can provide tips to reduce cost and risk in your supply chain.
Screenshot
Homepage

https://www.udemy.com/course/procurement-and-strategic-sourcing/

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Free Download Product Development & Customer Experience Management Diploma
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 751.66 MB | Duration: 2h 46m
CX / Customer Experience. Product Management and Development. Customer journey and touchpoints, CJM. Product Life-cycle

What you'll learn
Introduction to Customer Experience Management
Theory Overview
High-Level Frameworks
CX Principles
Customer Segmentation and Persona Development
Service Recovery and Complaint Handling
Customer Journey Optimisation
Service Blueprinting and Process Design
Voice of the Customer (VoC) Analysis
Emotional Experience Design (EED)
Lifetime Value (LTV) and Customer Lifetime Value (CLV)
Introduction to Product Development and Management
Requirements
For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.
Description
Welcome to course Product Development & Customer Experience Management Diploma by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 210 countries and has been chosen by more than 580 000 students.Course Author:Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.Product ManagementProduct Management is a multifaceted discipline that encompasses the planning, development, marketing, and optimization of a product or service throughout its lifecycle. It involves aligning customer needs with business goals and coordinating cross-functional teams to deliver successful and valuable products. Product managers act as the linchpin between various departments, ensuring seamless communication and collaboration.Customer experience (CX) is the overall impression customers have of your brand throughout their interactions with your business. It encompasses everything from the initial marketing message to the post-purchase support they receive. Think of it as the customer journey, and CX is all the touchpoints along the way that shape their perception.Key Areas of CXCustomer touchpoints: Every interaction a customer has with your brand, like websites, social media, advertising, in-store experience, and customer service.Customer journey: Mapping out the steps a customer takes to interact with your brand, from awareness to purchase and beyond.Customer satisfaction: How happy customers are with your product or service.Customer loyalty: How likely customers are to return and recommend your brand to others.CX FrameworksFrameworks provide a structured approach to improving CX. Here are two common ones:Customer Experience Journey Map: A visual representation of the customer journey, identifying touchpoints and opportunities for improvement.Five Service Dimensions: A framework that focuses on five key aspects of service quality: reliability, responsiveness, assurance, empathy, and tangibles.Why Learning CXM is Important for Companies:Improved Customer Satisfaction and Loyalty: CXM focuses on understanding and meeting customer needs, leading to increased satisfaction and a higher likelihood of repeat business.Enhanced Brand Reputation: Positive customer experiences contribute to a strong brand reputation, attracting new customers and retaining existing ones.Increased Revenue and Profitability: Satisfied customers are more likely to spend more, refer others, and remain loyal, all of which contribute to revenue growth.Competitive Advantage: In today's crowded marketplace, exceptional customer experience can be a key differentiator, setting a company apart from its competitors.Reduced Costs: Resolving customer issues proactively and efficiently can reduce the cost of customer service and support.Why Learning CXM is Important for Building a Career as a Manager:In-demand Skill: CXM is a highly sought-after skill in today's business world, as companies increasingly recognize its importance.Career Advancement: Expertise in CXM can open doors to various managerial roles, such as Customer Experience Manager, Customer Success Manager, or Marketing Manager.Problem-solving Skills: CXM involves identifying and addressing customer pain points, which enhances problem-solving and analytical skills.Leadership Development: Managing customer experience initiatives requires strong leadership, communication, and collaboration skills.Cross-functional Collaboration: CXM often involves working with multiple departments, providing managers with exposure to different areas of the business.Overall, learning CXM is crucial for companies looking to thrive in the modern business landscape. It's also a valuable investment for managers aiming to build a successful career in various industries.
Overview
Section 1: Introduction
Lecture 1 Onboarding to learning process
Section 2: Customer Experience
Lecture 2 Introduction to Customer Experience Management
Lecture 3 Course Presentation
Lecture 4 Theory Overview
Lecture 5 High-Level Frameworks
Lecture 6 CX Principles
Lecture 7 Customer Segmentation and Persona Development
Lecture 8 Service Recovery and Complaint Handling
Lecture 9 Customer Journey Optimisation
Lecture 10 Service Blueprinting and Process Design
Lecture 11 Voice of the Customer (VoC) Analysis
Lecture 12 Emotional Experience Design (EED)
Lecture 13 Lifetime Value (LTV) and Customer Lifetime Value (CLV)
Lecture 14 Employee Experience (EX)
Section 3: Product Management and Development
Lecture 15 Course Presentation and objectives
Lecture 16 Course Presentation
Lecture 17 Module 1 Introduction to Product Development and Management
Lecture 18 Module 2 Idea Generation and Concept Development
Lecture 19 Module 3 Product Design and Prototyping
Lecture 20 Module 4 Product Testing and Validation
Lecture 21 Module 5 Product Launch and Commercialisation
Lecture 22 Module 6 Product Life-cycle Management
Lecture 23 Module 7 Agile Product Development
Lecture 24 Module 8 Product Metrics and Performance Measurement
Lecture 25 PDM_Module 9 Case Studies and Best Practices
Section 4: Customer Experience Management Guide
Lecture 26 Understanding the Power of Customer Experience Management
Lecture 27 Assessing the Current State of UX
Lecture 28 Identifying Key Stakeholders and Building a CEM Team
Lecture 29 Developing a Customer-Centric Vision and Strategy
Lecture 30 Prioritizing UX Improvements Based on Impact and Feasibility
Lecture 31 Designing and Implementing UX Improvements
Lecture 32 Establishing Metrics and KPIs for UX Success
Lecture 33 Communicating the Value of UX to the Organization
Lecture 34 Building a Feedback Loop for Continuous Improvement
Lecture 35 The Future of UX: Staying Ahead of the Curve
Section 5: Interactive part
Lecture 36 Interactive Part
Lecture 37 Congratulations with finishing from MTF
No special requirements. A course for anyone who wants to build career in marketing and business
Screenshot
Homepage

https://www.udemy.com/course/product-development-customer-experience-management-diploma/

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Free Download Product Management Masterclass Become A Product Manager
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 508.28 MB | Duration: 1h 24m
A Complete Masterclass in Building a Successful Career in Product Management As A Product Manager

What you'll learn
An Overview of the Product Manager's Role and Who They Partner With
Common Challenges in Product Management And How to Overcome Them
A Deep Dive into Each Phase of the Product Management Life Cycle
How to Build Products that Deliver Customer and Business Value
Requirements
No Product Management Prior Knowledge or Experience is Needed
Description
Unlock Your Future as a Product Manager: Master the Skills to Lead with Confidence!Are you ready to transform your passion for innovation into a rewarding career in product management? This Product Management Masterclass is designed for aspiring product managers like you, who want to learn the practical skills needed to excel in today's competitive job market. You'll learn the skills that make up the entire Product Management job and process: from ideation to market research, to UX wireframing to prototyping, technology, metrics, and finally to building the product with user stories, project management, scoping, and leadership.The Product Manager role is one of the most promising and highest-paying careers today, offering an opportunity to dramatically improve your career and quality of life.The demand for Product Management is increasing at an insane rate. More and more companies are finally figuring out how important this discipline and this role is to their success.Are you eager to have a successful career in product management? Look no further! Product Management Masterclass: Become a Product Manager is designed to equip you with the core skills and knowledge needed to excel in the Product Management field.This course will teach you the underlying values and principles of Product Management. And the practical portion will showcase how successful teams build products using approaches that minimize risk and maximize customer delight.If you're seeking a job in Product Management or trying to transition into a new career, this course will help prepare you for success. You'll be able to identify and avoid unproductive workplace practices, and confidently use the latest Product Management tools and techniques that are so essential to success.And if you work as a Product Manager in the software development space, this course will accelerate your career and open new doors.You don't have to just dream it; you can live it. Our Product Management Masterclass is your gateway to a fulfilling career, guiding you step-by-step toward becoming the product manager you've always wanted to be.Don't let this opportunity slip by. See you on the other side!
Overview
Section 1: Introduction to Product Management
Lecture 1 Who is a Product Manager
Lecture 2 The Roles of a Product Manager
Lecture 3 Challenges in Product Management
Lecture 4 Tools for Product Managers
Section 2: The Product Management Life Cycle
Lecture 5 What is the Product Management Life Cycle
Lecture 6 How Product Managers Guide a Product Through Its Life Cycle
Section 3: The Product Management Life Cycle Phases
Lecture 7 Phase 0: Start with an Outcome
Lecture 8 Phase 1: Discover - Understanding Your Customers
Lecture 9 Phase 2: Validation - Finding the Right Solution
Lecture 10 The Role of Experimentation and Testing
Lecture 11 Phase 3: Build - Delivering Continuous Value
Lecture 12 Phase 4: Launch - Getting the Word Out
Lecture 13 Phase 5: Evaluate
Lecture 14 Phase 6: Iterate
Aspiring Product Manager,Founders of Startups
Screenshot
Homepage

https://www.udemy.com/course/product-management-masterclass-become-a-product-manager/

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Free Download Product Quality Review (Annual Product Quality Review)
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.05 GB | Duration: 4h 38m
Product Quality Review

What you'll learn
Brief understand about the Product Quality Review in pharmaceuticals
Compliance to regulatory requirements for PQR
Understand in brief about Product Quality review and continued process verification. Both are different
The key questions related to PQR will help you to understand and clear the subject and avoid potential errors in future
Requirements
The person should be full focussed during the session.
Description
The Product Quality Review is part of the Quality management system requirements.The first lecture is related to process capability and process capability index. This will help viewers to understand this concept very clearly because as a part of PQR, it is required to evaluate.The second lecture is on Pharmaceutical Quality system. This lecture constitutes below discussion•Importance of topic and Agenda•Know your Trainer•Understanding the different guidelines•ICH Q10 Objectives•Life Cycle Approach•Management Responsibility•Elements of Pharmaceutical Quality System•Key messageThe third lecture is on Key questions related to PQR. Due this this lecture, the participants will clear their concepts and avoid errors in future.The fourth lecture is on Product Quality Review. The lecture will discuss in detail about PQR expectations. This session includes below points - •Importance of topic & Know your Trainer•Expectations about PQR from different regulatory agencies•Specific key expectations from regulatory guides (FDA,WHO)•Elements of product Quality Review•Practical approach towards each elements•Role of statistical evaluation in PQR•Practical examples for detailed understanding about statistical evaluations•Broad Difference in expectations between EU and FDA•Common non conformance identified in PQRThe last lecture is on continued process verification. Many people think that, continued process verification and PQR are same. But both are different.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Pharmaceutical Quality System (PQS)
Lecture 3 Product Quality Review (PQR) Key Questions and Answers
Lecture 4 Product Quality Review (PQR)
Lecture 5 Continued Process Verification
Professionals of pharmaceutical industry, Quality Assurance, Quality control (Analytical laboratory), production, engineering, R&D, development, investigation team, compliance team etc.
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Homepage

https://www.udemy.com/course/product-quality-review-annual-product-quality-review/

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Free Download Professional Certificate in Data Science 2024
Last updated 1/2024
Created by Academy of Computing & Artificial Intelligence
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 170 Lectures ( 26h 36m ) | Size: 12 GB

Learn All the Skills to Become a Data Scientist[ Machine Learning,Deep Learning, CNN, DCGAN, Python, Java, Algorithms]
What you'll learn
Python Programming Basics For Data Science
Machine Learning -[A -Z] Comprehensive Training with Step by step guidance
Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)
Unsupervised Learning - Clustering, K-Means clustering
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it.
Algorithm Analysis For Data Scientists
KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step
Deep Learning -Handwritten Digits Recognition[Step by Step][Complete Project ]
Deep Convolutional Generative Adversarial Networks (DCGAN)
Java Programming For Data Scientists
Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia
Developing a CNN From Scratch for CIFAR-10 Photo Classification
Requirements
Computer & Internet Connection
Description
At the end of the Course you will have all the skills to become a Data Science Professional. (The most comprehensive Data Science course )1) Python Programming Basics For Data Science - Python programming plays an important role in the field of Data Science2) Introduction to Machine Learning -[A -Z] Comprehensive Training with Step by step guidance3) Setting up the Environment for Machine Learning - Step by step guidance4) Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)5) Unsupervised Learning6) Evaluating the Machine Learning Algorithms7) Data Pre-processing8) Algorithm Analysis For Data Scientists9) Deep Convolutional Generative Adversarial Networks (DCGAN)10) Java Programming For Data ScientistsCourse Learning OutcomesTo provide awareness of the two most integral branches (Supervised & Unsupervised learning) coming under Machine LearningDescribe intelligent problem-solving methods via appropriate usage of Machine Learning techniques.To build appropriate neural models from using state-of-the-art python framework.To build neural models from scratch, following step-by-step instructions. To build end - to - end solutions to resolve real-world problems by using appropriate Machine Learning techniques from a pool of techniques available. To critically review and select the most appropriate machine learning solutionsTo use ML evaluation methodologies to compare and contrast supervised and unsupervised ML algorithms using an established machine learning framework.Beginners guide for python programming is also inclusive. Introduction to Machine Learning - Indicative Module ContentIntroduction to Machine Learning:- What is Machine Learning ?, Motivations for Machine Learning, Why Machine Learning? Job Opportunities for Machine Learning Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google CollabsSupervised Learning Techniques:-Regression techniques, Bayer's theorem, Naïve Bayer's, Support Vector Machines (SVM), Decision Trees and Random Forest.Unsupervised Learning Techniques:- Clustering, K-Means clusteringArtificial Neural networks[Theory and practical sessions - hands-on sessions]Evaluation and Testing mechanisms :- Precision, Recall, F-Measure, Confusion Matrices, Data Protection & Ethical PrinciplesSetting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition[Step by Step][Complete Project ]Naive Bayes Classifier with Python[Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering[K - Means Clustering ]K - Means ClusteringThe course will have step by step guidance for machine learning & Data Science with Python.You can enhance your core programming skills to reach the advanced level. By the end of these videos, you will get the understanding of following areas the Python Programming Basics For Data Science - Indicative Module ContentPython ProgrammingSetting up the environmentPython For Absolute Beginners : Setting up the Environment : AnacondaPython For Absolute Beginners : Variables , Lists, Tuples , DictionaryBoolean operationsConditions , Loops(Sequence , Selection, Repetition/Iteration)FunctionsFile Handling in PythonAlgorithm Analysis For Data Scientists This section will provide a very basic knowledge about Algorithm Analysis. (Big O, Big Omega, Big Theta)Java Programming for Data Scientists Deep Convolutional Generative Adversarial Networks (DCGAN)Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) are one of the most interesting and trending ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator , learns to create images that look real, while a discriminator learns to tell real images apart from fakes.At the end of this section you will understand the basics of Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) .This will have step by step guidance Import TensorFlow and other librariesLoad and prepare the datasetCreate the models (Generator & Discriminator)Define the loss and optimizers (Generator loss , Discriminator loss)Define the training loopTrain the modelAnalyze the output Does the course get updated?We continually update the course as well.What if you have questions?we offer full support, answering any questions you have.Who this course is for:Beginners with no previous python programming experience looking to obtain the skills to get their first programming job.Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.Who want to improve their career options by learning the Python Data Engineering skills.
Who this course is for
Anyone who wish to start the career in Data Science
Homepage

https://www.udemy.com/course/professional-certificate-in-data-science/

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