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Старый 25.12.2024, 03:47   #5476
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По умолчанию ISO 59020 - Guide to Measuring and Assessing Circularity


Free Download ISO 59020 - Guide to Measuring and Assessing Circularity
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 1m | Size: 322 MB
Mastering Circularity Assessment with ISO 59020

What you'll learn
Measuring and Assessing Circularity Performance
Understanding and applying ISO 59020
Understanding Circular Economy Terminology and Principles
Understanding the Framework of measuring and assessing circularity performance
Understanding Circularity Indicators
Requirements
Passion to sustainability
Description
This comprehensive course delves into the principles and practices of measuring and assessing circularity as outlined in ISO 59020: Guide to Measuring and Assessing Circularity. Designed for professionals in sustainability, product development, and environmental management, this course equips participants with the knowledge and skills to implement circular economy strategies effectively.Key Topics:Fundamentals of Circular Economy: Explore the core concepts and principles driving the shift towards circularity1.ISO 59020 Framework: Gain an in-depth understanding of the ISO 59020 guidelines and their application in various industries1.Circularity Indicators: Learn to identify, measure, and interpret key circularity indicators for products, processes, and organisations.Assessment Methodologies: Master various techniques for assessing circularity, including material flow analysis and life cycle assessment1.Data Collection and Management: Develop skills in gathering and managing data crucial for accurate circularity assessments1.Reporting and Communication: Learn best practices for reporting circularity metrics and communicating results to stakeholders.Course Outcomes:By the end of this course, participants will be able to:Apply ISO 59020 guidelines to assess circularity in their organizationsDevelop and implement circularity measurement strategiesInterpret and act upon circularity assessment results to drive sustainable innovationThis course combines theoretical knowledge with practical case studies, ensuring participants gain hands-on experience in applying ISO 59020 principles to real-world scenarios.
Who this course is for
Those who want to assess Measuring and Assessing Circularity Performance, environmental assessment, social-economic assessment
Homepage:
Код:
https://www.udemy.com/course/iso-59020-guide-to-measuring-and-assessing-circularity/

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Старый 25.12.2024, 03:48   #5477
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По умолчанию Implement Diversity And Inclusion Training Strategies


Free Download Implement Diversity And Inclusion Training Strategies
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 44m | Size: 781 MB
Create Effective Diversity And Inclusion Training Strategies To Boost Employee Engagement And Career Development

What you'll learn
Align diversity and inclusion with employee development.
Address common barriers to inclusive training.
Overcome resistance to diversity and inclusion improvements.
Apply ethical and legal standards.
Develop diversity and inclusion performance metrics.
Cultivate corporate social responsibility.
Requirements
No specific Requirements.
Description
Do you want to learn how to create effective diversity and inclusion (D&I) training programmes? Would you like to increase employee engagement and interaction during training? Do you need help measuring progress and identifying areas for improvement? If so, this course on D&I training strategies is meant for you!Diversity and inclusion are becoming increasingly important for modern workplaces, over 70% of people in employment say inclusion is important to them within the workplace. One of the most effective ways to overcome barriers to D&I is through ongoing education and accessible training that meets employees where they are. However, establishing and maintaining an effective D&I training programme isn't easy. Successful training initiatives require targeted instructional design, leadership support and a grasp of where your organisation currently stands. That's why you must plan ahead and carefully consider each element you incorporate into your training and development initiatives.Over a series of short video lectures, we will delve deeply into the vital aspect of aligning D&I with employee development. Through interactive sessions and case studies, you will explore strategies to integrate D&I seamlessly into professional growth opportunities, fostering a workplace culture that values and nurtures diversity in all its forms. We will address common barriers that often impede inclusive training, such as unconscious bias and lack of awareness, offering practical techniques to overcome these obstacles effectively.Moreover, you will gain insights into navigating resistance to D&I improvements, learning persuasive communication methods and change management strategies to foster buy-in across all levels of your organisation. Ethical and legal considerations will be thoroughly examined, ensuring that your initiatives not only promote inclusivity but also adhere to established ethical principles and legal frameworks. You will also learn how to develop robust diversity and inclusion performance metrics, enabling you to measure progress accurately and identify areas for further improvement. Finally, we will explore the significance of cultivating corporate social responsibility, guiding you in integrating socially responsible practices into your organisation's core values, thereby enhancing its overall impact on society.By the end of this course, you'll understand how to incorporate diversity and inclusion into employee training, development and career management. You'll also learn about key topics such as cultural sensitivity and discover how to overcome obstacles like lack of leadership support. Enrol now to learn more!
Who this course is for
Training and development professionals who are responsible for designing and delivering training experiences to diverse audiences.
Human resources professionals who want to enhance their understanding of diversity and inclusion.
Leaders and executives who want to be more supportive of diversity and inclusion.
Organisational development professionals who want to learn how to leverage diversity and inclusion training and continuing education.
Any individuals who have a general interest in promoting diversity and inclusion in the workplace.
Homepage:
Код:
https://www.udemy.com/course/implement-diversity-and-inclusion-training-strategies/

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Старый 25.12.2024, 03:49   #5478
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По умолчанию Incident Management and Incident Response in Cyber Security


Free Download Incident Management and Incident Response in Cyber Security
Published: 12/2024
Created by: Oak Academy,OAK Academy Team
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 52 Lectures ( 3h 42m ) | Size: 1.36 GB

Incident Management | Learn Incident Response Life Cycle, ISO 27035, ITIL and NIST to be protected from cyber threats
What you'll learn
Learn the fundamentals of Incident Management and Incident Response.
Understand the differences and similarities between Incident Management and Incident Response with real-world scenarios.
Implement effective incident management using frameworks and standards such as ITIL and ISO/IEC 27035.
Gain knowledge about popular tools such as ServiceNow, JIRA, and Splunk
Understand how to use them for tracking, analyzing, and managing incidents.
Develop best practices for detecting, responding to, and recovering from cyber incidents efficiently.
Acquire insights into specialized topics like cloud security, malware analysis, and disaster recovery planning.
Build practical skills through real-life scenarios, crisis simulations, and post-incident analysis exercises.
Explore the applications of artificial intelligence and machine learning in cybersecurity.
Investigate certification opportunities and career paths for continuous professional development.
Requirements
A basic understanding of cybersecurity concepts (recommended but not mandatory).
Any device such as mobile phone, computer or tablet where you can watch the lesson.
Willingness to engage in simulated scenarios and practical exercises.
Basic knowledge of networking and system operations is advantageous.
Internet Connection
Watch the course videos completely, to the end and in order.
Description
Hi there,Welcome to "Incident Management and Incident Response in Cyber Security" course! Incident Management | Learn Incident Response Life Cycle, ISO 27035, ITIL and NIST to be protected from cyber threatsAre you prepared to respond to cybersecurity threats? Rapid and effective incident response is crucial for organizations to successfully manage crises. In our Incident Management and Response course, you'll learn the right strategies to handle incidents and develop the skills necessary to take charge during crises.This course offers comprehensive training, covering everything from identifying security incidents to managing response processes, conducting analysis, and developing improvement plans. You'll also gain knowledge of industry-standard tools such as ServiceNow, Splunk, and JIRA, and dive into frameworks like NIST SP 800-61 and MITRE ATT&CK. Whether you're a beginner or an experienced IT professional, this course is designed to benefit learners at all levels.Throughout this course, you'll enjoy an engaging learning experience with clear, practical content that avoids unnecessary complexity. OAK Academy's experienced instructors will guide you through real-world examples, ensuring you develop the skills to excel in the field. You're in the right place to gain competencies that will take your cybersecurity career to the next level!At OAK Academy, our goal is to provide you with the knowledge and skills needed for success in the cybersecurity industry. Whether you are starting your career or advancing your expertise, this course is packed with valuable content that will benefit both beginners and seasoned professionals. By the end of the course, you'll have a comprehensive understanding of how to respond to cybersecurity incidents effectively.Invest in your future and make a real impact in the world of cybersecurity!What You'll Learn:Foundations of Incident Management and Response: Key concepts for handling cybersecurity incidents effectively.Incident Management Tools: Insights into ServiceNow, Splunk, and JIRA for tracking and managing incidents.Incident Response Techniques: Strategies for detecting, containing, and eradicating incidents.Frameworks and Standards: Application of NIST SP 800-61 and MITRE ATT&CK best practices.Specialized Topics: Knowledge of cloud security, malware analysis, and business continuity.Practical Scenarios: Real-world cases to sharpen your decision-making skills.Continuous Improvement: Techniques for post-incident reviews and ongoing learning.During the Course, You Will Learn the Following Topics:Incident Management Lifecycle: Preparation, detection, containment, eradication, and recovery.Incident Response Techniques: Identification, analysis, containment, eradication, and recovery.Incident Management Frameworks: NIST SP 800-61, MITRE ATT&CK, ISO 27035, SANS PICERL.Key Incident Management Tools: ServiceNow, JIRA, Splunk.Cloud and Virtualization Security: Best practices for securing cloud infrastructure.Malware Analysis and Forensics: Techniques for malware detection and forensic investigations.Advanced Threats: Handling Advanced Persistent Threats (APTs) and insider threats.Disaster Recovery and Business Continuity: Strategies for resilience and minimizing downtime.Threat Intelligence and Hunting: Methods for proactive threat detection and response.Security Automation and Orchestration: Enhancing efficiency with automated workflows.DFIR (Digital Forensics & Incident Response): Gathering and analyzing digital evidence.Incident Management Team and Response Team Roles: Understanding roles within incident management.Incident Management Process Overview: A deep dive into the entire incident management process.Cybersecurity Incident Management Strategies: Proven strategies for managing incidents successfully.Incident Detection and Containment Techniques: Best practices for detecting and containing incidents.Cloud-Based Incident Response: Responding to incidents in cloud environments.Post-Incident Analysis and Reporting: Conducting post-incident reviews and producing reports.Policy and Documentation: Creating policies, reporting incidents, and documenting best practices.Risk Management: Identifying, assessing, and mitigating risks during incidents.Communication Strategies: Effective stakeholder communication during incidents.Continuous Improvement: Post-incident reviews, lessons learned, and ongoing improvements.This course combines theoretical foundations with practical exercises, ensuring you gain hands-on experience and the knowledge needed to excel in the field of incident management and cybersecurity.What is incident management?Incident management refers to an organization's wider strategic handling of an incident. It requires the coordinated oversight of a leadership group, which usually includes representatives from teams such as the executive board, IT, legal, communications and HR.The following are some responsibilities an incident management group typically handlesroactively preparing incident management plans before an incident occurs;overseeing technical response efforts during an active incident;calling on third-party help as required;deciding when and how to communicate incident details and the organization's response with staff, clients, regulators and the media; andfollowing up after the incident's resolution to evaluate how it should inform future incident management strategies.What is incident response?In its strictest definition, incident response is the technical part of the overarching incident management process. Imagine an organization is the victim of a ransomware attack. The incident response would include the following activities:Initial identification of the incident, perhaps through a SIEM or security orchestration, automation and response tool;An alert from a staff member or a third-party security operations center;Containment of the ransomware, if the identification was sufficiently timely;Attempts to eradicate the infection from the network; andData restoration from backups.The typical incident response team is made up mostly of internal security and IT professionals, perhaps with support from third-party security providers.Differences between incident management and incident responseIncident response is tactical and focused, while incident management is strategic and broad.Because incident response is essentially a subset of incident management, one can't succeed without the other. The overarching incident management strategy heavily influences technical incident response processes. And, incident response directly affects how likely the business is to lose sensitive data to theft or encryption, making it a critical part of incident management.Incident response has significant immediate effects, as it determines how quickly and effectively an organization can recover from an attack or other security incident.Incident management tends to have greater long-term business effects, as it encompasses communication with key stakeholders. If an organization does not have an effective incident management strategy for dealing with an attack, then it is far more likely to gain negative attention from staff, clients, the media, regulators and the general public -- causing long-term reputational damage to the brand. For this reason, having an incident response plan that includes incident management details is key.It is also imperative to rehearse incident management and incident response processes using realistic tabletop exercise scenarios. It's surprising how often organizations believe their response plans to be effective, until testing reveals simple mistakes -- such as storing the response plan on the same network hackers have encrypted, making it inaccessible.What are the top 3 challenges with incident response?The sheer volume of attacks. Budget and knowledge constraints. Lack of escalation and collaboration tools.Why would you want to take this course?Our answer is simple: The quality of teaching.OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in Turkish, English, Portuguese, Spanish, and a lot of different language on Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increase its education series number by publishing new courses, and it makes students aware of all the innovations of already Published: courses by upgrading.When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.Fresh ContentIt's no secret how technology is advancing at a rapid rate. New tools are released every day, Google updates Android and it's crucial to stay on top of the latest knowledge. With this course, you will always have a chance to follow latest trends.Video and Audio Production QualityAll our content is created/produced as high-quality video/audio to provide you the best learning experience.You will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadDive in now!We offer full support, answering any questions.See you in the "Incident Management and Incident Response in Cyber Security" course! Incident Management | Learn Incident Response Life Cycle, ISO 27035, ITIL and NIST to be protected from cyber threats
Who this course is for
Anyone who wants to looking to enhance their incident management and response skills.
Anyone who wants to aiming to develop robust incident detection and response strategies.
Anyone who wants to dive deeper into incident management frameworks and tools.
Anyone who wants to seeking a structured, hands-on approach to cybersecurity.
Anyone who wants to responsible for business continuity and risk management.
Anyone who wants to providing security and incident management solutions to organizations.
Anyone interested in building a career in the rapidly evolving field of cybersecurity.
Homepage:
Код:
https://www.udemy.com/course/incident-management-and-incident-response-in-cyber-security/




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Старый 25.12.2024, 03:50   #5479
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По умолчанию Industry 4.0 III - Advanced Computational Technologies


Free Download Industry 4.0 III - Advanced Computational Technologies
Published: 12/2024
Created by: Pedro Portugal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 12m ) | Size: 1.2 GB

AI, Machine Learning, and Vision Systems for Next-Generation Manufacturing
What you'll learn
tudents will gain a solid understanding of fundamental machine learning concepts, including supervised and unsupervised learning.
Students will learn to implement machine learning models for fault detection in rotating and moving parts.
Students will understand the role of computer vision in industry, focusing on image processing techniques such as edge detection.
Students will differentiate between AI, machine learning, and deep learning, and understand their roles in industrial applications.
Requirements
B.S or graduate students, Mechanical engineering, Manufacturing Engineering, Aerospace Engineering, Electronics Engineering, Software/Computer Engineering, Technicians with industry experience.
Description
This course provides an introduction to machine learning and artificial intelligence (AI) concepts, specifically tailored for industrial applications. Students will gain foundational knowledge in supervised and unsupervised learning techniques, including linear regression, classification, decision trees, and clustering methods like k-means and DBSCAN. Through practical examples, students will learn how these techniques are applied for fault detection, predictive maintenance, and process optimization in mechanical systems.A key component of the course focuses on AI's role in industry, including the integration of machine learning models for real-world applications such as gear wear prediction and bearing failure analysis. Students will also explore the intersection of AI and computer vision in industrial systems, learning about convolution operations, image processing techniques like edge detection, and advanced object recognition methods like YOLO and Faster R-CNN, all of which are essential for quality control and automation in manufacturing.The course delves into the distinctions between AI, machine learning, and deep learning, equipping students with the knowledge to leverage these technologies effectively in industrial settings. Additionally, students will explore reinforcement learning, particularly in the context of cobots (collaborative robots) that autonomously optimize assembly paths. By the end of the course, students will have a comprehensive understanding of how AI and machine learning can drive innovation and efficiency in modern manufacturing environments.
Who this course is for
Engineers, senior or grad students. Entrepreneurs and Innovators, designers, manufacturing professionals (with our without a college degree). Overall, Professionals Seeking Career Growth
Homepage:
Код:
https://www.udemy.com/course/industry-40-iii-advanced-computational-technologies/




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Старый 25.12.2024, 03:51   #5480
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По умолчанию Instagram Marketing & Reel Posting 101 for The Camera Shy


Free Download Instagram Marketing & Reel Posting 101 for The Camera Shy
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 25m | Size: 600 MB
Create 30 Plus Highly Targeted Instagram Reels in Under 1 Hour; Using Canva and Google Sheets

What you'll learn
Learn how to find your audience, and speak directly to their needs
Tips and time savers for posting faster and more consistently
The most important parts of posting content that will get your content more reach
Ways to create social posts for maximum visibility
A system for creating 30+ reels in under 1 hour
Requirements
No particular skills required. Everything is inside.
Description
Elevate your Instagram marketing game and confidence without having to learn complicated technology or techniques? This beginner-friendly course will teach you how to create target audience rich Instagram Reels that speak to your audience and to help grow your businesses reach, as well as your clients, using Canva, simple Google sheets, your smartphone and a Wi-fi connection.* Still working? No time? Make these value based posts easily on your 15 minute work break, during your lunch break, while traveling or even standing in line at the grocery store... Anywhere at anytime, posting becomes SOOOOO much easier.Whether you want to grow your personal or business brand, jumpstart your side-hustle, learn a new in demand skill, or even help your clients grow their Instagram presence...This Course will give you the confidence through a simple strategy that focuses on growing yours or your clients Instagram presence through consistent and confident posting. Design, organize, and post brand related quality reels in no time. No fluff here. A simple, easy to follow system that takes you through developing your post ideas, sprinkle in a few hacks and shortcuts, and then simple posting steps. Don't want to be on camera? No problem, the System shares simple ways to create "real" brand based reels without being on camera. What You'll Learn:The PREP StuffIdentify Your Target Audience: Know who you are aiming to attract and why. Not the boring "demographics" stuff, the get into the minds of your audience method.Types of Content To Create: Simple, Smart, Shareable ContentThe Secret Content Pillar Method: Organize your ideas, so that you can post faster, and more consistently.The POSTING StuffThe Hook | Offer | Story FrameworkHow to Maximize Your Posts VisibilitySEO Content TricksHashtag ShortcutsThe Ultra Secret[Mix and Match Method]30 Reels in Under 1 HourPLUS, a whole bunch of other cool tidbits.P.S. What You'll Need To So That You Can Accomplish 30 Reels in Under 1 Hour:Google Spreadsheet (we got you inside)A Canva account (get the free version or *pro if you want)P.S.S. For Extra Help:You will have access to planners, spreadsheets, and other support tools & resources.P.S.S.S. Who is this for?YOU, because you want to post target rich reels, fast.CREATORS who want to stop struggling to post reels consistently.SOCIAL MARKETERS who need, simple, smart, fast and efficient secret posting process: make it your own.Thank you for checking us out and > ENROLLING NOW. See you inside...- Tish
Who this course is for
Digital Entrepreneurs
Side Hustlers
Content Creators
Social Media Marketers
Homepage:
Код:
https://www.udemy.com/course/instagram-marketing-reel-posting-101-for-the-camera-shy/

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Старый 25.12.2024, 03:52   #5481
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По умолчанию Insurance Foundation Course For It Professionals


Free Download Insurance Foundation Course For It Professionals
Published: 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 653.16 MB | Duration: 1h 9m
Decoding Insurance, Insurance Basics, Introduction to Insurance

What you'll learn
Understand the concept of risk and risk management.
Familiarize with insurance terminology
Explore the Customer Journey
Look inside an Insurance Company (Functions/ Departments)
Understand the Role of Technology in Insurance Business
Familiarize with different types of insurance
Understand the key principles of insurance
Requirements
This is a beginner level course, prior knowledge is not required
Description
Welcome to the Insurance Foundation Course! This course is specially designed for IT professionals working on insurance projects. It offers a simple and structured way to understand key insurance concepts. If you've ever felt confused by insurance jargon and terminology, you're not alone. Many IT professionals struggle to bridge the gap between technology and insurance business. In this course, we will first understand the basics of Risk and Insurance. Here, we'll cover key topics like Risk, Risk Management, and how insurance works as a Risk Transfer mechanism. We'll also explore insurance as a Contract and as a Business, focusing on how it operates profitably. Then, we'll discuss common Insurance Terminology and key concepts.After that, we will explore the most important part-the Big Picture. Here, We'll start by looking at the Customer Journey, followed by taking a sneak peek inside an insurance company, to understand the roles and functions of different departments. We'll also see how Technology supports the smooth running of the insurance business process.After that, we'll build a big-picture understanding of insurance from the customer's perspective by exploring the Customer Journey. Then we take a look inside the insurance industry, explaining the roles and functions of different departments. This will help you work effectively with business teams. We'll also see how Technology supports the insurance business. This section will help you understand how business and technology work together to deliver a seamless experience to the customer.We'll also explore the Types of Insurance and how each of them addresses a specific type of risk. Finally, we'll touch on the Principles of Insurance, introducing terms like Indemnity, Proximate Cause, Contribution, etc. These are important to understand and may come up in business discussions.By the end of this course, you'll have a strong foundation in insurance. Let's get started!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Risk and Insurance
Lecture 2 What is Risk?
Lecture 3 Risk Management
Lecture 4 Insurance - Risk Transfer
Lecture 5 Insurance - A Contract (Insurance Policy)
Lecture 6 Insurance - A Business
Section 3: Insurance Terminology - Part 1
Lecture 7 Policy Holder and Insured
Lecture 8 Peril, Hazard and Loss
Lecture 9 Claim
Lecture 10 Distribution Channel- Agent / Broker/ MGA etc
Section 4: The Big Picture
Lecture 11 Customer Journey
Lecture 12 Inside the Insurance Company - Part 1
Lecture 13 Inside the Insurance Company - Part 2
Lecture 14 Insurance Technology
Lecture 15 Actuary Vs Underwriter
Section 5: Types of Insurance
Lecture 16 Types of Insurance
Lecture 17 Line of Business and Product
Section 6: Insurance Terminology - Part 2 (Policy related terms)
Lecture 18 Quote Vs Policy
Lecture 19 Coverage
Lecture 20 Limit
Lecture 21 Deductible
Lecture 22 Premium
Section 7: Principles of Insurance
Lecture 23 Introduction
Lecture 24 Utmost Good Faith
Lecture 25 Insurable Interest
Lecture 26 Indemnity
Lecture 27 Proximate Cause
Lecture 28 Contribution
Lecture 29 Subrogation
Lecture 30 Loss Minimization
This course is specially designed for IT Professionals working on Insurance Projects,This course will also help people from insurance industry who are exploring opportunities to move to IT as Business Analysts

Homepage:
Код:
https://www.udemy.com/course/insurance-foundation-course/


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По умолчанию Interactive Dashboards With Python Plotly & Dash Masterclas


Free Download Interactive Dashboards With Python Plotly & Dash Masterclas
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.30 GB | Duration: 2h 19m
Create interactive web dashboards using Plotly and Dash. Master advanced visualization, user interactivity.

What you'll learn
Build interactive dashboards using Plotly and Dash from scratch.
Create advanced charts like 3D graphs, geo charts, and maps.
Integrate data from APIs and databases into dashboards.
Implement dynamic layouts and state management.
Add interactive elements like forms, filters, and notifications.
Apply best practices for performance optimization.
Use Bootstrap for custom themes and responsive design.
Deploy dashboards locally and in production environments.
Build real-world projects with data, such as a Titanic dashboard.
Requirements
Basic understanding of Python programming.
Familiarity with HTML/CSS is helpful but not required.
Basic knowledge of data analysis concepts using libraries like Pandas.
A computer with Python 3.x installed.
An internet connection for downloading required libraries and tools.
Some experience with data visualization tools is a plus.
No prior knowledge of Plotly or Dash required - all concepts will be explained from scratch
Description
Unlock the power of interactive dashboards with Python in this comprehensive course on Plotly and Dash. Whether you're a data scientist, analyst, or developer, this course equips you with the essential tools to create visually stunning, interactive dashboards. You'll learn to transform static data into engaging visual stories that drive impactful decisions and enhance business insights. This hands-on course covers everything from setting up Plotly and Dash environments to designing and deploying dashboards. In the early modules, you'll explore basic Plotly charts and get familiar with Dash's layout structure. Moving into advanced topics, you'll dive into interactive elements, such as responsive data tables, form handling, real-time filtering, and advanced chart types.You'll also master working with 3D charts, maps, and multi-page apps, along with incorporating databases and APIs to enhance your dashboards. Key lessons include performance optimization, state management, and techniques for improving the user experience with custom themes, notifications, animations, and accessibility.By the end, you'll apply everything you've learned through a real-world project, creating a feature-rich dashboard using the Titanic dataset. This course is perfect for anyone looking to deploy production-ready dashboards and sharpen their data visualization skills with Python.We'll be delighted to know that this course will be of benefit to you.
Overview
Section 1: Introduction to Plotly and Dash
Lecture 1 What is Plotly?
Lecture 2 What is Dash?
Lecture 3 Setting Up Your Development Environment
Lecture 4 Basic Plotly Charts
Section 2: Creating Basic Dashboards
Lecture 5 Dash Layout Basics
Lecture 6 Adding Interactivity
Lecture 7 Styling Dashboards
Lecture 8 Deploying Dashboards Locally
Section 3: Advanced Plotly Visualizations
Lecture 9 Advanced Chart Types
Lecture 10 Interactive Visualizations
Lecture 11 3D and Geo Charts
Lecture 12 Customizing Plots
Section 4: Advanced Dash Components
Lecture 13 Core Components
Lecture 14 Graph and DataTable Components
Lecture 15 Tabs and Multi-page Apps
Lecture 16 File Upload and Download
Section 5: Data Integration and Management
Lecture 17 Reading Data
Lecture 18 Using Pandas for Data Processing
Lecture 19 Connecting to Databases
Lecture 20 Using APIs
Section 6: Enhancing User Experience
Lecture 21 Form Handling
Lecture 22 Notifications and Alerts
Lecture 23 Interactive Data Filtering
Lecture 24 Basic User Authentication
Section 7: Advanced Techniques
Lecture 25 Advanced Techniques
Lecture 26 Dynamic Layouts
Lecture 27 Performance Optimization
Lecture 28 Error Handling
Section 8: Visual Design and User Interface
Lecture 29 Using Dash Bootstrap
Lecture 30 Custom Themes
Lecture 31 Animating Dashboards
Lecture 32 Ensuring Accessibility
Section 9: Real-World Applications
Lecture 33 Financial Dashboards
Lecture 34 Health Dashboards
Lecture 35 Sales Dashboards
Lecture 36 Operational Dashboards
Section 10: Project
Lecture 37 Project
Data Analysts and Data Scientists,Developers and Programmers,Business Analysts,Students and Learners,Entrepreneurs and Startups,Professionals in Finance, Healthcare, or Sales

Homepage:
Код:
https://www.udemy.com/course/interactive-dashboards-with-python-plotly-dash-masterclass/
DOWNLOAD NOW: Interactive Dashboards With Python Plotly & Dash Masterclas

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По умолчанию Introduction To Ai-Driven Communication Tools


Free Download Introduction To Ai-Driven Communication Tools
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.43 GB | Duration: 5h 16m
Master AI in Communication: From Natural Language Processing to Ethics, Chatbots, and Crisis Management

What you'll learn
Explain the basic principles of AI in communication tools using common terminologies and concepts.
Evaluate the role of AI in enhancing leadership communication strategies and outcomes.
Analyze the impact of AI technologies on management communication processes and effectiveness.
Describe real-world applications of AI in communication, including examples from current industries.
Summarize the Overview of Natural Language Processing (NLP) and its significance in AI-driven communication.
Utilize AI for text processing to improve the clarity and effectiveness of written communication.
Demonstrate the use of voice recognition technologies in developing responsive communication tools.
Apply sentiment analysis techniques to gauge customer sentiments from communications.
Create a simple NLP application to automate a basic task in a communication tool.
Understand the fundamentals of speech recognition and differentiate between various deep learning models used for speech recognition.
Develop a basic AI-driven chatbot for customer service using an accessible platform or toolkit.
Integrate speech generation techniques to improve accessibility in voice search technologies.
Design a conversational chatbot that enhances user experience and efficiently handles customer inquiries.
Implement task management functions using AI-powered virtual assistants in a simulated work environment.
Collaborate on a project using AI-enhanced team communication tools to demonstrate improved productivity and workflow.
Personalize communication for different stakeholders using AI-driven content personalization techniques.
Plan and execute an automated email marketing campaign using AI for campaign management and behavioral targeting.
Utilize AI tools for social media management to curate content, schedule posts, and analyze audience engagement.
Use data analytics to improve communication strategies, incorporating AI-driven communication analytics for insights.
Evaluate the return on investment (ROI) of implementing AI communication tools in a business setting, using basic analytics and user feedback.
Requirements
There are no Requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course.
Basic understanding of Artificial Intelligence and its applications.
Familiarity with communication tools and platforms.
Interest in technology-driven communication advancements.
Description
Welcome to our comprehensive course on AI-Driven Communication Tools, where we delve deep into the cutting-edge technologies shaping the future of communication. Are you ready to revolutionize the way you communicate with your audience, colleagues, or customers? In a digital age where communication plays a crucial role in success, mastering AI-powered tools can give you the competitive edge you need.Our team of experts has crafted this course to equip you with the knowledge and skills to navigate the dynamic landscape of AI in communication effectively. With years of experience in AI development and communication strategies, we are passionate about sharing our expertise with you. Our goal is to empower you to harness the power of AI to optimize your communication processes and achieve your professional goals.Throughout this course, you will embark on a transformative journey through the fundamentals of AI in communication tools. From understanding the basics of AI-driven communication to exploring advanced concepts like speech recognition, virtual assistants, and personalized strategies, each module is designed to enhance your understanding and practical application of AI in communication.Dive into the realm of Natural Language Processing (NLP) and unlock the potential of text processing, sentiment analysis, and voice recognition technologies for seamless communication. Explore the realm of intelligent chatbots and virtual assistants, learning how to leverage these tools for engaging customer interactions and efficient team collaboration.Discover how AI can enhance your email marketing, social media management, and data analytics strategies, enabling you to create personalized, data-driven communication campaigns that resonate with your audience. Uncover the power of interactive multimedia tools, smart video conferencing solutions, and voice technology for captivating presentations and effective communication.As you progress through the course, you will witness the ethical considerations and security measures essential in AI communication tools, ensuring transparency, fairness, and privacy in your communication practices. Learn how AI can be a valuable asset in crisis communication management, real-time monitoring, and response strategies to navigate challenging situations seamlessly.Through hands-on projects, case studies, and real-world examples, you will not only gain theoretical knowledge but also practical experience in implementing AI communication tools. Our course is designed to foster critical thinking, creativity, and innovation in your communication strategies, preparing you for the future of AI-driven communication trends.By the end of this course, you will be equipped with the skills and confidence to evaluate, implement, and optimize AI communication tools in your professional endeavors. Whether you are a business leader, marketing professional, communication specialist, or aspiring entrepreneur, this course will empower you to harness the transformative power of AI in communication effectively.Join us on this exciting journey into the realm of AI-driven communication tools and unlock your full potential in the digital age. Enroll now and take the first step towards revolutionizing your communication strategies with AI expertise. Let's embrace the future of communication together!
Overview
Section 1: Fundamentals of AI in Communication Tools
Lecture 1 AI Basics for Communication
Lecture 2 Download The *Amazing* +100 Page Workbook For this Course
Lecture 3 Get This Course In Audio Format: Download All Audio Files From This Lecture
Lecture 4 Introduce Yourself And Tell Us Your Awesome Goals With This Course
Lecture 5 Introduction to AI-driven Communication
Lecture 6 Role of AI in Leadership Communication
Lecture 7 AI's Influence on Management Communication
Lecture 8 Real-world Applications of AI in Communication
Lecture 9 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!!
Section 2: Understanding Natural Language Processing
Lecture 10 Overview of Natural Language Processing
Lecture 11 Text Processing with AI
Lecture 12 Voice Recognition Technologies
Lecture 13 Sentiment Analysis with NLP
Lecture 14 NLP Applications in Communication Tools
Section 3: Speech Recognition and Generation
Lecture 15 Speech Recognition Fundamentals
Lecture 16 Deep Learning for Speech Recognition
Lecture 17 Applications of Speech Recognition in Communication
Lecture 18 AI-driven Chatbots and Virtual Assistants
Lecture 19 Voice Search Technologies with Speech Generation
Section 4: Intelligent Chatbots for Customer Interaction
Lecture 20 Chatbots in Customer Service
Lecture 21 Enhancing User Experience with Chatbots
Lecture 22 Designing Conversational Chatbots
Lecture 23 Handling Customer Inquiries Effectively
Lecture 24 Case Studies on Successful Chatbot Implementations
Section 5: Virtual Assistants in Work Environment
Lecture 25 Introduction to Virtual Assistants
Lecture 26 AI-powered Personal Assistants
Lecture 27 Scheduling and Task Management with Virtual Assistants
Lecture 28 Virtual Assistants for Team Collaboration
Lecture 29 Real-Life Examples of Virtual Assistants Implementation
Lecture 30 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >>
Section 6: Enhancing Collaboration with AI Tools
Lecture 31 AI-enhanced Team Communication
Lecture 32 Project Management Tools with AI Integration
Lecture 33 Virtual Collaboration Platforms
Lecture 34 AI-driven Workflow Improvements
Lecture 35 Case Studies on Effective Team Collaboration Tools
Section 7: Personalization Strategies with AI Communication
Lecture 36 Personalizing Communication for Stakeholders
Lecture 37 AI-driven Content Personalization
Lecture 38 Tailored Communication for Different Audiences
Lecture 39 Dynamic Messaging with Machine Learning
Lecture 40 Real-Life Examples of Personalized Communication Tools
Section 8: Automated Email Marketing Techniques
Lecture 41 AI in Email Campaign Management
Lecture 42 Behavioral Targeting with AI
Lecture 43 Automated Email Sequences
Lecture 44 Email Analytics with AI Insights
Lecture 45 Success Stories in AI-enhanced Email Marketing
Section 9: Social Media Management with AI
Lecture 46 AI for Social Media Marketing
Lecture 47 Content Curation and Scheduling
Lecture 48 Audience Targeting with AI
Lecture 49 Sentiment Analysis in Social Media
Lecture 50 Social Listening Tools for Effective Communication
Section 10: Data Analytics for Communication Improvement
Lecture 51 Using Data for Communication Insights
Lecture 52 AI-driven Communication Analytics
Lecture 53 Measuring Communication Effectiveness
Lecture 54 Predictive Analytics for Communication Strategies
Lecture 55 Case Studies on Data-Driven Communication Optimization
Lecture 56 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >>
Section 11: Test your knowledge now to achieve your goals!
Section 12: Interactive Multimedia Communication Tools
Lecture 57 Interactive Web Technologies
Lecture 58 AI-driven Multimedia Communication
Lecture 59 Visual Storytelling Tools with AI
Lecture 60 Engaging Audiences through Interactive Content
Lecture 61 Real-Life Examples of Interactive Multimedia Communication
Section 13: Smart Video Conferencing Solutions
Lecture 62 AI in Video Conferencing Tools
Lecture 63 Virtual Background Technologies
Lecture 64 Facial Recognition in Video Calls
Lecture 65 Enhancing Communication in Virtual Meetings
Lecture 66 Case Studies on AI-enhanced Video Conferencing
Section 14: Voice Technology for Effective Presentations
Lecture 67 AI Tools for Presentation Enhancement
Lecture 68 Speech Analysis for Presentation Skills
Lecture 69 Feedback Systems for Public Speaking
Lecture 70 Improving Presentation Delivery with Voice Technology
Lecture 71 Real-world Applications of Voice Technology in Presentations
Section 15: Automated Transcription and Translation
Lecture 72 AI-powered Transcription Services
Lecture 73 Real-Time Transcription Tools
Lecture 74 Multilingual Translation with AI
Lecture 75 Enhancing Communication Across Language Barriers
Lecture 76 Case Studies on AI Transcription and Translation Services
Section 16: AI for Speech Emotion Recognition
Lecture 77 Understanding Emotions in Speech
Lecture 78 AI Algorithms for Emotion Recognition
Lecture 79 Emotion Analysis in Communication
Lecture 80 Emotional Intelligence in AI-driven Communication
Lecture 81 Applications of Speech Emotion Recognition
Lecture 82 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >>
Section 17: Ethics and Bias in AI Communication
Lecture 83 Ethical Considerations in AI Communication
Lecture 84 Bias Detection and Mitigation Strategies
Lecture 85 Transparency in AI-driven Communication
Lecture 86 Ensuring Fairness in AI Algorithms
Lecture 87 Case Studies on Ethical AI Communication Practices
Section 18: Security and Privacy in AI Communication Tools
Lecture 88 Security Measures for AI Communication
Lecture 89 Data Protection in AI Tools
Lecture 90 Privacy Concerns in Communication Technologies
Lecture 91 Ensuring Confidentiality with AI
Lecture 92 Best Practices for Secure AI Communication
Section 19: AI for Crisis Communication Management
Lecture 93 Crisis Communication Strategies
Lecture 94 AI-powered Crisis Response Tools
Lecture 95 Real-time Monitoring in Crisis Situations
Lecture 96 Communication Resilience with AI
Lecture 97 Case Studies on AI-enabled Crisis Communication
Section 20: Evaluating AI Communication Tools
Lecture 98 ROI Analysis for AI Communication Investments
Lecture 99 Measuring Impact of AI Tools on Communication
Lecture 100 User Feedback and Engagement Evaluation
Lecture 101 Continuous Improvement in AI Communication
Lecture 102 Case Studies on Successful AI Communication Tool Evaluation
Section 21: Futuristic Trends in AI Communication
Lecture 103 Emerging Technologies for Communication
Lecture 104 AI-driven Communication Innovations
Lecture 105 Predictions on Future of AI in Communication
Lecture 106 Preparing for AI Communication Evolution
Lecture 107 Closing Remarks on AI-Driven Communication Tools
Lecture 108 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!!
Section 22: Test your knowledge now to achieve your goals!
Section 23: Your Assignment: Write down goals to improve your life and achieve your goals!
Marketing professionals looking to enhance customer engagement through AI-driven communication tools.,Project managers interested in utilizing AI for improving team collaboration and workflow efficiency.,Customer service representatives seeking to improve response times and customer satisfaction with AI chatbots.,HR managers aiming to implement AI for internal communications and employee engagement.,Data analysts focusing on leveraging AI for communication insights and predictive analytics.,Tech-savvy entrepreneurs exploring AI tools to optimize social media management and email marketing strategies.

Homepage:
Код:
https://www.udemy.com/course/introduction-to-ai-driven-communication-tools/



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По умолчанию Introduction To Iot Cloud With Dweet And Freeboard


Free Download Introduction To Iot Cloud With Dweet And Freeboard
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 407.68 MB | Duration: 0h 52m
Learn how to build and monitor IoT applications with Dweet and Freeboard to analyze real-time data.

What you'll learn
How to use IoT cloud platforms like Dweet for data communication.
The basics of IoT protocols such as MQTT and HTTP.
How to visualize real-time IoT data using Freeboard.
Practical skills for sending and updating data with Dweet.
Techniques for monitoring multiple IoT devices, like cars, in real time.
Requirements
Basic knowledge of IoT concepts and devices.
Familiarity with the basics of cloud computing.
No prior experience with Dweet or Freeboard is required-everything will be covered in the course.
Description
Introduction:The Internet of Things (IoT) is transforming industries by connecting everyday devices to the cloud, enabling real-time data monitoring and management. This course focuses on IoT cloud platforms like Dweet and visualization tools such as Freeboard. Students will learn how to use these tools to gather and visualize live data from IoT devices, like monitoring multiple cars in real-time. By the end of the course, students will be able to create their own IoT solutions and effectively monitor and control devices through the cloud.Section-wise Writeup:Section 1: Introduction to IoT Cloud - DweetIn this section, you will be introduced to the concept of IoT and how it integrates with cloud platforms, focusing on Dweet, a lightweight and easy-to-use IoT cloud platform. You'll understand the basics of connecting devices to the cloud, sending and receiving data, and the overall architecture of an IoT system.Section 2: IoT Cloud Platforms and ProtocolsThis section dives deeper into different IoT cloud platforms, such as Dweet, and the various IoT protocols that enable device communication. You will also learn about the protocols that are critical for IoT data transfer, including MQTT, HTTP, and WebSocket. This foundational knowledge will help you understand how data flows in an IoT system.Section 3: Freeboard and PostmanHere, you will explore the Freeboard tool for visualizing IoT data and Postman for testing IoT APIs. You will learn how to send HTTP requests to IoT platforms and visualize the data in real-time using Freeboard's user-friendly interface. This section will also cover essential debugging skills using Postman to ensure smooth communication between IoT devices and the cloud.Section 4: Sending a Dweet and Live Data UpdatesLearn how to send live data (called Dweets) to the cloud and update it in real time. You'll set up a flow for data transmission from IoT devices to Dweet and monitor this data through Freeboard. This section demonstrates how to continuously update and manage IoT device data without any delays, ensuring real-time access.Section 5: Monitoring Multiple Cars in Real-TimeThis final section applies everything you've learned to a practical use case: monitoring multiple cars in real time. You will connect multiple IoT devices, such as car sensors, to Dweet and visualize the data in Freeboard. Students will learn how to manage data from several devices simultaneously and interpret the data in an easily digestible format.Conclusion:By the end of this course, you will have a solid understanding of IoT cloud platforms and visualization tools. You'll be equipped with the skills to send, monitor, and visualize real-time data from multiple IoT devices. Whether you're interested in building smart solutions for homes, vehicles, or other IoT applications, this course provides the foundation for creating and managing IoT systems efficiently.
Overview
Section 1: Introduction to IoT Cloud - Dweet
Lecture 1 Introduction to IoT Cloud-Dweet
Section 2: IoT Cloud Platforms and Protocols
Lecture 2 IoT Cloud Platforms
Lecture 3 IoT Protocols
Section 3: Freeboard and Postman
Lecture 4 Freeboard and Postman
Section 4: Sending a Dweet and Live Data Updates
Lecture 5 Sending a Dweet
Lecture 6 Live Data Updates
Section 5: Monitoring Multiple Cars in Real-Time
Lecture 7 Multiple Cars Monitoring
Beginners who want to learn about IoT cloud platforms and real-time data monitoring.,Hobbyists or developers looking to create IoT solutions using Dweet and Freeboard.,Anyone interested in exploring the practical applications of IoT, such as real-time monitoring of devices.

Homepage:
Код:
https://www.udemy.com/course/introduction-to-iot-cloud-with-dweet-and-freeboard/


DOWNLOAD NOW: Introduction To Iot Cloud With Dweet And Freeboard

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По умолчанию Introduction To Product Management 101 - Understaning Pm


Free Download Introduction To Product Management 101 - Understaning Pm
Published: 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.07 GB | Duration: 0h 42m
Introduction to Product Management: Unlock Your Potential as a Product Leader

What you'll learn
Skills Needed for Success
Tools for Lifecycle Management
Understanding Customer Needs (Personas, Journey Maps)
Analyzing Competitors
Working with Engineering, Marketing, and Design Teams Communication Best Practices
Key Metrics (DAU, MAU, CAC, LTV)
Balancing Innovation vs. Stability
Moving from Associate PM to Senior PM to VP of Product
Requirements
No required experience need
Description
Are you ready to transform ideas into impactful products that captivate users and drive business success? Welcome to the world of Product Management-a dynamic and rewarding career path where creativity, strategy, and execution come together.Why Learn Product Management?In today's fast-paced, innovation-driven world, businesses need leaders who can identify market needs, craft a compelling vision, and guide cross-functional teams to success. Product Managers (PMs) do exactly that. Whether you're launching groundbreaking apps, improving existing products, or scaling startups to global success, product management is at the core of it all.What You'll Gain From This CourseOur comprehensive Introduction to Product Management course is designed to equip you with the skills, knowledge, and tools to excel in this field. Learn how toefine and prioritize product features that solve real customer problems.Master agile methodologies to deliver value iteratively.Communicate effectively with engineers, designers, and stakeholders.Leverage data to make informed decisions and measure success.Real-World Examples and Hands-On LearningDive into case studies like how Airbnb redefined the travel industry or how Slack revolutionized workplace communication. Gain practical experience with exercises, templates, and strategies that mimic the challenges PMs face daily.Why Choose Us?This course is tailored for aspiring PMs, career switchers, and anyone passionate about building products users love. With flexible access on platforms like Udemy, you can learn at your pace and apply your new skills immediately.Don't wait-step into the exciting world of product management and become the visionary leader companies are searching for. Enroll now and shape the future of innovation!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 why this video guide
Lecture 3 Market Research
Section 2: Matrics and KPIs
Lecture 4 matrics and kpis
Lecture 5 cross functinal team collaboration
Lecture 6 what is product management
Section 3: product development lifecycle
Lecture 7 Product lifecycle
Lecture 8 build and manage roadmaps
Lecture 9 centric product design
Lecture 10 what does effective management looks like
Section 4: Agile
Lecture 11 agile
Lecture 12 handling challengies
Lecture 13 data analysis in product management
Section 5: Carrier growth in pm
Lecture 14 carrier growth in product management
People who want to become a Product manager,Intrested in product management skills,what to understand and know what product managment is

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Код:
https://www.udemy.com/course/introduction-to-product-management-101-understaning-pm/



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По умолчанию Introduction To Telecom Networks - Fixed Wireless Networks


Free Download Introduction To Telecom Networks: Fixed/Wireless Networks
Last updated: 12/2023
Created by: Dr. Moazzam Tiwana
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 116 Lectures ( 4h 35m ) | Size: 936 MB

PSTN, Voice Over IP Systems (Softswitch, IMS), Internet, Mobile/cellular systems, Optical Fiber Systems (OFAN, DWDM)
What you'll learn
Modern Telecom Networks
Public Switched Telephony Network (PSTN)
Voice over IP (VOIP) Systems
Softswitch based VOIP Systems
IP Multimedia Subsystems (IMS) based VOIP Networks
Modern Telecom/Telecommunication Networks
Internet Architecture, IP based Networks
Mobile Communication Systems
Cellular Communication Systems
Optical Fiber Access Networks: FTTH/PON
Modern Telecommunication Networks
Requirements
Be ready to learn,
A Computer or laptop with internet connection
Basics concepts of electrical engineering/IT/communication
Description
Today's telecommunications networks are complex mixtures of legacy technologies, coupled with the latest generation of both fixed and mobile architectures. This course seeks to provide a starting point to those people who are new to the telecoms industry, providing them with a foundation of knowledge which will allow them to explore the telecommunications ecosystem in greater detail. As such, the course is all encompassing, providing technical detail on fundamental concepts, network architectures and finally, today's services environment.
This course covers fundamental aspects of telecommunication networking. It is also designed to address the needs of those involved in various aspects of IT and wireless and mobile technologies who need to understand how networks work in slightly deeper and more detailed manner.
The course comes with 100% MONEY-BACK GUARANTEE.
This course is targeted for
Telecom professionals
Telecom students
Networking students
Section 1: Public Switched Telephone Networks
Introduction to Public Switched Telephone Network (PSTN)
Evolution of PSTN
PSTN Exchanges Hierarchy
Block Diagram of a Local Exchange/Central Office
What is PSTN Local loop?
Signaling in Local loop:Off-hook & On-hook states
Signaling in Local loop:Incoming Call (Ring)
Frequency Division Multiplexing (FDM) Hierarchy Standar on Analogue Trunk Lines
Digital Exchanges: A-to-D Conversion using Pulse Coded Modulation (PCM)
E-1 and T1 standards for TIme Division Multiplexing in Digital exchange
Plesiochronous Digital Hierarchy (PDH)
Signaling System 7 (SS7) in PSTN
Signaling Points (SP) and Point Code (PC)
Service Switching Point (SSP)
Signal Transfer Point (STP)
Service Control Point (SCP)
Section 2: Internet and its Architecture
Nuts and Bolts of Internet
Internet Structure: Network of Networks
How to Solve the Complexity of Internet/Computer Networks?
Layered Approach To Solve Complexity: Air Travel Example
Internet Protocol (IP) Stack
Physical Layer
Datalink Layer
Network Layer
Transport Layer
Application Layer
Section 3: Layered Architecture of Telecommunication Networks
Legacy Telecommunication Networks
Modern Telecommunication Networks
Section 4: IP NetworksEditDelete
Structure of an IP Network
IP Address Format for IPv4
Two Key Functions of Router: Routing and Forwarding
IP Range Aggregation and Longest Prefix Matching in Routing Tables
IP Addressing: A Data Network Example
IP Addressing: What is an interface?
IP Addressing: Subnets
Example: How many Subnets?
Internet IP Address Assignment Strategy
Hierarical Addressing: More Efficient RoutingEditDelete
Section 5: Voice Over IP (VOIP) Technology
Introduction to Voice Over IP (VOIP)
What is Softswitch?
Media Gateway (MG)
Signaling Gateway (S-GW)
Media Gateway Controller (MGC)
Separation Of Media and Call Control
Media Gateway Control (MEGACO) Protocol
Call Flow Using MEGACO/H.248
Session Initiation Protocol (SIP) for Inter MGC signaling
Class 4 and Class 5 Softswicthes
IP Multimedia Subsystem (IMS)
What is IP Multimedia Subsystem (IMS)
IMS Features
IMS Architecture-Different Layers
IMS Control Layer: CSCF, HSS, MRF, MGCF, BGCF
Call Session Control Functions (CSCFs): P (Proxy)-CSCF
Call Session Control Functions (CSCFs): I (Interrogating)-CSCF
Call Session Control Functions (CSCFs): S (Serving)-CSCF
Application Servers (ASs) in IMS
Protocols Used in IMS
Session Initiation Protocol (SIP) in IMS
Services Provided by SIP
SIP Methods
User Registration in IMS
End-to-end SIP Signalling Path for Call Setup
IMS Call Setup Signalling
Section 7: Mobile/Cellular Systems: 4G LTE Mobile Communication Systems
Evolution from 1G to 5G
The Cellular Concept
Handover Concept
Three Major parts of 4G LTE network
Evolution to an all IP system in 4G
Overall 4G EPS architecture
Evolved NodeB (eNB)
4G EPS Bearer
Mobility Management Entity
Serving Gateway (S-GW)
Packet Data Network Gateway (P-GW)
Policy And Charging Rules Function
Policy And Charging Enforcement Function
Home Subscriber Server (HSS)
Introduction to VoLTE using IMS
IP Multimedia Subsystem (IMS) in 4G VoLTE
Section 8: Optical Fiber Access Networks (OFAN) using PON/FTTH
Whats PON in Optical Fiber Access Networks?
Working Principle Of PONE
Optical Distribution Network
Advantages of PON Technology
xDSL Vs PON (FTTC, FTTB, FTTH )
The Evolution of ITU-T PON standards
GPON Principle-Wavelength Division Multiplexing
GPON Principle-Downstream Data
GPON Principle-Upstream Data
Section 9: Optical Fiber Transmission Networks Using DWDM Systems
Why Dense Wavelength Division Multiplexing (DWDM) Systems
Wavelength Division Multiplexing (WDM) Concept
Advantage of WDM Technology
Wavelength Spectrum For Optical Fiber Communication
Transponder in DWDM
Optical Supervisory channel
Optical Add Drop Multiplexer (OADM)
What is an Optical Amplifier and its types
Manipulating Wavelengths
1). Point-to-Point DWDM
2) Fixed Optical Add Drop Multiplexers (FOADMs)
3) Reconfigurable Optical Add Drop Multiplexers (ROADMs)
Who this course is for
Complete beginners who want to learn about Telecommunication Networks
IT Professionals who want to learn about Telecom
Diploma holders who want to learn about Telecom Networks
Homepage:
Код:
https://www.udemy.com/course/introduction-to-telecom-networks-wireless-networks-ims-pstn-voip-ftth/




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По умолчанию Introduction to Artificial Intelligence in Manufacturing


Free Download Introduction to Artificial Intelligence in Manufacturing
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 1m | Size: 726 MB
Exploring the Future of Automated Manufacturing Systems and Applications

What you'll learn
Introduction to AI and its significance in manufacturing
Foundational understanding of machine learning, computer vision, robotics, NLP Natural Language Processing, predictive maintenance, and quality control.
Exploration of future trends and the concept of smart factories
Ethics, sustainability, and the societal impact of AI in manufacturing
Understanding of how AI-driven robotics enhances manufacturing processes through automation, flexibility, and precision.
Requirements
No experience or advanced knowledge required. Perfect for all levels.
Description
Dive into the world of Artificial Intelligence (AI) and its transformative impact on the manufacturing industry with this comprehensive introductory course. Designed for professionals, students, and enthusiasts eager to understand the integration of AI in manufacturing, this course offers a detailed exploration of how automated systems are reshaping production landscapes.What you will learn:Fundamentals of AI in Manufacturing: Gain a solid foundation in the basic principles of AI, including machine learning, robotics, and natural language processing, and how they are applied in manufacturing settings.Impact on Efficiency and Productivity: Explore case studies and real-world examples where AI has significantly enhanced manufacturing operations, leading to improved efficiency, reduced costs, and increased productivity.Future Trends and Innovations: Look ahead to the future of manufacturing systems, focusing on upcoming advancements and the potential of AI to drive further innovation.Practical Applications: Understand the practical aspects of implementing AI technologies in manufacturing, including the challenges, best practices, and considerations for successful integration.Strategic Implications for Businesses: Learn about the strategic decisions involved in adopting AI technologies, and how they can be leveraged for competitive advantage and operational excellence.Regulatory Landscape: Learn about key regulations, compliance best practices, and the impact compliance AI has on manufacturingThis course is ideal for manufacturing professionals seeking to innovate and improve their processes, technology enthusiasts wanting to grasp the practical applications of AI, and decision-makers needing to understand the strategic impacts of AI integration. It is also perfectly suited for educators and trainers looking to expand their academic or professional training programs.
Who this course is for
This course is designed for professionals and enthusiasts who are interested in understanding the integration of Artificial Intelligence within the manufacturing sector.
Manufacturing Professionals: Engineers, managers, and technicians working in manufacturing who want to enhance their expertise with AI technologies to improve efficiency, productivity, and innovation in their operations.
Technology Enthusiasts and Students: Individuals with a background or interest in technology and how it applies to industrial settings, including students in engineering, computer science, or related fields looking to expand their career opportunities in tech-driven industries.
Educators and Trainers: Academics and corporate trainers looking to update their curriculum or training programs to include the latest trends and applications of AI in manufacturing.
Policy Makers and Regulators: Individuals involved in shaping policies and regulations related to technology use in industry, who need to understand the implications of AI to make informed decisions.
Homepage:
Код:
https://www.udemy.com/course/introduction-to-artificial-intelligence-in-manufacturing/

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По умолчанию Introduction to Model Based Development for Automotive


Free Download Introduction to Model Based Development for Automotive
Published: 12/2024
Created by: Prakash Shakti
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 38 Lectures ( 2h 18m ) | Size: 744 MB

Model Based Development - In Theory
What you'll learn
Students can learn Software Development Life Cycle related concepts Model based Design
Students can learn V-Model Approaches
Students can learn different Software Testing Methods
Students can learn Code Coverage
Requirements
Even though it's better if you're studying mechanical, automotive, electrical, or electronics engineering, anyone who knows about electrical and electronics engineering and has basic knowledge of MATLAB Simulink can join this course.
Basic understanding of MBD, Software development.
Description
Are you ready to revolutionize your automotive engineering skills? This course provides a comprehensive dive into Model-Based Development (MBD)-a powerful approach that combines software engineering and systems design to accelerate the development of automotive systems.MBD is at the core of modern automotive innovations, enabling rapid prototyping, simulation, and deployment of advanced technologies such as autonomous driving, electric powertrains, and vehicle control systems.In this course, you'll learn how to:Integrate control algorithms into hardware through automatic code generation (TargetLink, Embedded Coder).Validate and verify systems using Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing.Some important topic covered:Model in Loop Testing (MIL)Software in Loop (SIL)Hardware in Loop (HIL)Code GenerationV-Model ApproachesFunction RequirementsFunction DevelopmentSoftware DevelopmentSoftware Testing MethodsCondition CoverageDecision CoverageModified Condition/Decision CoverageThis course is designed for:Automotive engineers transitioning to MBD workflows.Software developers looking to specialize in automotive systems.Students and professionals eager to pursue a career in advanced automotive engineering.A key focus of this course is the integration of MBD into the automotive development lifecycle, from Requirements specification to hardware-in-the-loop (HIL) testing. Whether you're an engineer looking to upskill or a beginner entering the field, this course equips you to thrive in the automotive industry's shift towards smarter, more efficient vehicle development.
Who this course is for
Mechanical, Automobile, Electrical and Electronics student can enroll this course.
Homepage:
Код:
https://www.udemy.com/course/introduction-to-model-based-development-for-automotive/




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По умолчанию Introduction to Oracle Fusion (SaaS) for PaaS Developers


Free Download Introduction to Oracle Fusion (SaaS) for PaaS Developers
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 44m | Size: 1.65 GB
Basics of Oracle Fusion (SaaS) cloud REST API, BIP report and data model, Page Composer, Page Integration, Sandbox,..etc

What you'll learn
Learn to use Fusion REST API's
Using query parameters in Fusion GET all REST API
Create Sandbox, tools,...etc
Page Composer
Page Integration
Application Composer
BIP report and data model
This course does not cover advanced topics in Oracle Process Automation
Requirements
Prior experience working as a Oracle PaaS developer (Integration, Visual Builder, Process Automation)
Prior basic knowledge of Oracle Fusion Cloud application (Creating account, navigation,..etc)
This course does not provide the Fusion environment for practice, you must have your own instance for practicing the classes.
This course does not cover advanced topics in Oracle Process Automation
Description
This course is designed to help developers who aspire to learn concepts of Oracle Fusion cloud Applications (Oracle SaaS) for developing Oracle PaaS applications. Please enroll to this course only if you are planning to learn the basics of Oracle Fusion (SaaS) cloud and to become proficient in developing Oracle PaaS applications.If you are a functional or sales professional, then this course may not be a best fit for you.NOTE: This course does not cover advanced topics.NOTE: The course is delivered in an Indian English accent, ensuring clarity and relatability throughout. If you find Indian English difficult to understand, it may be best to consider other courses, as this course focuses on an Indian English pronunciation and style.With this course you will learn the basics of Oracle Fusion Cloud concepts and below are few are the highlights on the topics covered in this course:Basics of Fusion REST APIDocumentation navigation for REST API and tablesGET, GET all, POST, DELTE Fusion REST APICreate a data model and BIP reportPage ComposerPage IntegrationApplication ComposerSandbox and much more conceptsOracle SaaS applications with embedded artificial intelligence bring consistent processes and a single source of truth across the most important business functions-from enterprise resource planning, supply chain management, and human capital management to customer experience. The applications help you improve your customer engagements, increase your business's agility, and react to change faster than ever before.
Who this course is for
Beginner in Oracle PaaS application development
Beginner Oracle Integration
Beginner Oracle Visual Builder
Beginner Oracle Process Automation
Homepage:
Код:
https://www.udemy.com/course/introduction-to-oracle-saas-for-paas/

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По умолчанию Introduction to Service Management with ITIL 4


Free Download Introduction to Service Management with ITIL 4
Last updated: 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.45 GB | Duration: 1h 46m
Learn about service management, four dimensions, guiding principles, service value system, and ITSM best practices

What you'll learn
Describing the ITIL framework
Understanding real-world examples
Applying ITIL 4 to your organization
Discuss ITIL 4 concepts with confidence
Requirements
No prerequisites (we will teach you everything you need to know)
A desire to learn
Description
IT Service Management helps all organizations, regardless of their industry or business sector, provide their IT services using the most efficient and economical methods. The ITIL® framework focuses on IT Service Management best practices and efficient operations, and is used in government, commercial, and non-profit organizations, alike.This course provides an introduction to service management and covers the core concepts of creating value, service offerings, service relationships, achieving outcomes, managing costs, mitigating risks, and measuring the utility and warranty of a given service.As a free bonus, there is also a complete section of the course dedicated to the new ITIL 4 Foundation certification exam, which is the entry-level certification in the ITIL framework and offers an exceptional Overview of ITIL. By obtaining your ITIL 4 Foundation certification, you are showing employers that you understand the key elements, concepts, and terminology used in ITIL, including how operations move between each activity and process to create value in the service value system, and their overall contribution to the service management best practices.Please note, this course is NOT a complete textbook replacement and DOES NOT cover the entire ITIL 4 Foundation exam objectives in-depth. This course is designed to introduce you to the concepts of service management and one ITSM best practice framework in order for you to determine if studying for the ITIL 4 Foundation certification is right for you.Upon completion of this course, you will earn 2 CEUs towards the renewal of your CompTIA A+, Network+, Security+, Linux+, Cloud+, PenTest+, CySA+, or CASP+ certifications.The course on this page is offered by Dion Training Solutions, LLC, an ATO of AXELOS Limited. ITIL, ITIL Foundation, and the Swirl logo are registered trademarks of AXELOS Limited. All rights reserved.
Overview
Section 1: Introduction
Lecture 1 Welcome
Lecture 2 Download the Study Guide
Lecture 3 4th Industrial Revolution
Lecture 4 Service Organizations
Section 2: Service Management
Lecture 5 Service Management
Lecture 6 Value
Lecture 7 Organizations and People
Lecture 8 Services and Products
Lecture 9 Service Offerings
Lecture 10 Service Relationships
Lecture 11 Outcomes
Lecture 12 Costs
Lecture 13 Risks
Lecture 14 Utility and Warranty
Section 3: The Basics of ITIL 4 (BONUS SECTION)
Lecture 15 Four Dimensions of Service Management
Lecture 16 Service Value System
Lecture 17 Guiding Principles
Lecture 18 Service Value Chain
Lecture 19 Continual Improvement
Lecture 20 The 34 Practices
Lecture 21 Putting It All Together
Section 4: Practice Exam
Lecture 22 ITIL 4 Foundation Exam
Section 5: Conclusion
Lecture 23 ITIL Certification Path
Lecture 24 BONUS: Conclusion
Students who require a basic understanding of the ITIL framework,Students who want to understand how the ITIL framework can be used to enhance IT service management within their organizations,IT professionals or others working within an organization that utilizes ITIL and who need understand the framework to contribute to an ongoing service improvement,Anyone who has an interest in the ITIL framework

Homepage:
Код:
https://www.udemy.com/course/service-management-itil-4/
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Ответ

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