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Free Download Udemy - Salesforce Certified Experience Cloud Consultant
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 35m | Size: 681 MB
Learn how to build and use Sites and Portals in Salesforce

What you'll learn
Enable Digital Experiences
Identify the right template for a given use case
Select the correct external user license
Apply branding and design pages inside Experience Builder
Personalize the Experience for different audiences
Assign Knowledge Articles to Topics (including via Data Category)
Set the right User Visibility for a given use case
Understand declarative sharing options
Create and provision external users
Set up external accounts and external account relationship
Incorporate Salesforce CMS (Content Management System) content into an Experience
Set up reputation levels and gamification
Analyze usage (page views, etc.)
Make reports and dashboards accessible in Experience
Configure Experience Builder components
Configure Workspaces
Understand migration of Experiences between environments
Understanding the out of the box capabilities and limitations and when to customize
Requirements
Understand the Basics of the Salesforce Ecosystem on Administrator or Sales Cloud Consultant Level
Description
Are you ready to master one of the most powerful tools Salesforce has to offer for building connected digital experiences? Our Salesforce Experience Cloud Course is designed to equip you with the essential skills and in-depth knowledge needed to design, configure, and manage branded digital experiences such as customer portals, partner communities, and support sites. Whether you're a beginner exploring Experience Cloud for the first time or a seasoned admin looking to expand your capabilities, this course offers a step-by-step guide to becoming a Salesforce Experience Cloud expert.With over a decade of experience in Salesforce consulting and training, we've structured this course to ensure a smooth, practical, and engaging learning journey. You'll gain access to our expert-led video content, covering everything from site creation and user access to content management, branding, and personalization. With our course model, you'll have the flexibility to learn at your own pace and revisit key lessons as your career progresses.To help reinforce your learning, we've included 20 practice exam questions to test your knowledge and build your confidence before pursuing official certification. By the end of this course, you'll be able to create seamless and impactful experiences that engage customers, partners, and employees alike.Don't wait-invest in your future today with our Salesforce Experience Cloud Course and take the next step in your Salesforce journey!
Who this course is for
Advanced Salesforce enthusiastics
Homepage

https://www.udemy.com/course/salesforce-certified-experience-cloud-consultant-m/

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Free Download Udemy - Salesforce Certified Platform App Builder - Full Course
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 30m | Size: 2.5 GB
Learn everything you need to know as a Salesforce beginner. Become a Salesforce Platform App Builder

What you'll learn
How to design the data model, user interface, business logic, and security for custom applications
How to customize applications for mobile use
How to design reports and dashboards
How to deploy custom applications
Requirements
Salesforce Associate certification might be helpful. Besides that, you will leran everything you need to know
Description
Salesforce Platform App Builder Course DescriptionAre you ready to take your Salesforce development skills to the next level and make your mark in a rapidly growing tech industry? Our Salesforce Platform App Builder Course is designed to equip you with the essential knowledge and hands-on expertise to design, build, and deploy custom applications on the Salesforce platform. Whether you're just starting your journey as a Salesforce developer or you're an experienced admin looking to broaden your skill set, this course offers a step-by-step guide to becoming a certified Salesforce Platform App Builder.With over a decade of experience in Salesforce consulting and training, we've carefully crafted this course to ensure clarity, engagement, and real-world relevance. You'll gain access to our expert-led video content, covering key topics such as data modeling, user interface customization, business logic with declarative tools, app deployment, and mobile capabilities. Our course model gives you the flexibility to learn at your own pace, revisit lessons anytime, and stay up-to-date with evolving platform features.To prepare you for success, the course includes 20 practice exam questions that will help reinforce your learning and boost your confidence before taking the Salesforce Platform App Builder Certification Exam. By the end of the course, you'll not only have the tools to build powerful Salesforce apps but also a valuable certification that can open doors to exciting new career opportunities.Don't wait-invest in your future today with our Salesforce Platform App Builder Course and start building the apps of tomorrow, today!
Who this course is for
Beginner Level
Homepage

https://www.udemy.com/course/salesforce-certified-platform-app-builder-full-course/

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Free Download Udemy - Securely Onboard AI Into Your Team - Excel Framework Toolkit
Published 4/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 786.87 MB | Duration: 0h 47m
An Excel framework and Power BI dashboard for identifying and treating AI onboarding risks.

What you'll learn
How to adapt the excel framework and Power BI dashboard to your organisation.
How to safely and responsibly onboard AI systems into your team.
Used the Power BI dashboard and the Excel framework to identify and treat your AI onboarding risks.
Use the defined risks to enhance your existing risk register with AI onboarding risks.
Used the defined controls to enhance your existing control framework with secure AI onboarding controls.
Use the defined control implementation guidance for NIST, OWASP and AI Act to close your onboarding gaps.
Requirements
You will need Power BI. The free version (web or desktop) will work.
The course assumes a basic understanding of security risk and shows you how to apply it to onboarding AI into your teams.
Description
This course gives you more than just theory and understanding; you'll walk away with a ready-to-use Excel framework and Power BI dashboard. Built to help the first line of defence (1LoD) safely onboard AI systems into their teams. We've built this framework using tried and tested security resources like NIST (AI RMF & CSF 2.0), OWASP (LLM & ASVS), ISO-27005 and the EU AI Act. And designed it to plug directly into your current risk register and control framework, extending what you already use with AI-specific risks and controls. The framework's intentional compatibility with existing risk management processes is aimed at making AI risk management a part of your day-to-day, lining your organisation up to safely maximise the benefit of AI.Alongside the AI Security Risk & Control Framework, we've set up a few short, to-the-point lectures that walk you through how the framework works and why we built it the way we did. No long-winded theory, just enough guidance to adapt the framework to your AI onboarding.At the heart of this course is a simple idea: treat AI like a virtual employee. That mindset makes the risks more relatable, the controls more actionable, and the governance more real. If your AI isn't something you'd trust to sit next to your team, it's not ready for production.
Security risk practitioners.,InfoSec and cyber security practitioners.,First line of defence wanting to safely and responsibly enhance their teams with AI.


Homepage

https://www.udemy.com/course/securely-onboard-ai-systems-into-your-team/

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Free Download Udemy - Seeing Spaces Gestalt Principles in Architectural Design
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 54m | Size: 2.17 GB
A journey into the psychology of how we perceive and experience architecture

What you'll learn
Understand the fundamentals of Gestalt psychology and its role in architectural design.
Analyze how spatial perception influences user experience in buildings and urban environments.
Apply Gestalt principles to create well-organized and visually harmonious architectural compositions.
Improve spatial legibility in wayfinding, signage, and urban design.
Enhance architectural aesthetics through Gestalt-based design strategies.
Requirements
No prior knowledge of Gestalt psychology is required, as the course will cover foundational concepts. But basic understanding of architectural design principles and familiarity with visual composition and spatial organization is beneficial.
Description
Architecture is more than just structures-it's an experience, a dialogue between space and perception. Architecture is not just the arrangement of walls, roofs, and openings-it is about shaping human experience through spatial perception. How do we instinctively differentiate foreground from background? Why do certain spaces feel harmonious while others feel disjointed? The answer to these questions lie in Gestalt psychology, a foundational theory of perception that explains how humans organize and interpret visual information. We observe that certain buildings feel harmonious, intuitive, or even emotionally moving, but other buildings are not so. Have you wondered why. Its because of the Gestalt principles-a powerful psychological framework that explains how we visually and spatially interpret our surroundings.In this course, Seeing Spaces: Gestalt Principles in Architectural Design, we explore how figure-ground relationships, proximity, similarity, closure, and continuity shape the way we design and perceive architectural spaces. These principles influence everything from urban layouts to intimate interiors, guiding architects in creating environments that are not only functional but also deeply engaging.This course is ideal for Architecture students and professionals seeking to enhance their design approach, Interior designers and urban planners interested in user-centered space design and Academicians and researchers exploring perceptual psychology in architecture. This course will open new dimensions of seeing and designing
Who this course is for
Architecture students and professionals, Interior designers and urban planners and Academicians and Researchers
Homepage

https://www.udemy.com/course/seeing-spaces-gestalt-principles-in-architectural-design/

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Free Download Udemy - Selling Smarter - A Complete Guide For Sales Professional
Published 4/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 618.13 MB | Duration: 0h 55m
Become a Confident Salesperson by Mastering the 80/20 Rule, Lead Follow-Up, and Daily Prospecting

What you'll learn
Understand the modern sales approach and how helping others achieve their goals can lead to personal and professional success.
Set and pursue sales goals using effective goal-setting techniques that enhance motivation and results.
Apply different sales techniques depending on the situation and the type of customer.
Utilize a prospect board to track potential leads and improve follow-up strategies.
Identify target markets and ideal customers using the 80/20 rule to focus on high-value prospects.
Requirements
A basic interest in sales, networking, or customer service
A willingness to engage in real-world activities like networking or cold calling
Access to tools for note-taking, goal tracking, and managing leads (digital or physical)
Description
Master the Art of Sales: Build Relationships, Persuade with Purpose & Close with ConfidenceSales is more than just a business function - it's the heartbeat of every successful brand. At its core, sales is about building meaningful relationships, persuading with integrity, and creating win-win solutions for both you and your clients. This course is your step-by-step guide to becoming a confident, strategic, and skilled salesperson in today's fast-paced world.You'll discover how to apply the 80/20 rule to focus your efforts where they matter most, build a powerful network, and never miss an opportunity to prospect - whether it's through cold calls, follow-ups, or relationship-building.By the end of this course, you'll be able to:Understand a powerful paradox: when you help others get what they want, you naturally get more of what you want.Set clear, focused goals and develop action-driven strategies to reach them.Confidently present the competitive strengths of your product or service while proactively handling objections.Tailor your sales techniques to different situations using various styles of selling.Use a prospect board to visually track and manage your leads.Identify your ideal target market and hone in on the most profitable clients using the 80/20 principle.Build and practice networking skills that open doors and spark opportunities.Whether you're brand new to sales or looking to sharpen your skills, this course will give you the confidence and tools to thrive.Ready to elevate your sales game? Let's get started.
Aspiring sales professionals who want to build a strong foundation in modern sales techniques.,Entrepreneurs and small business owners looking to improve their ability to attract and retain customers.,e transitioning into a sales role or seeking to sharpen their networking and goal-setting skills.


Homepage

https://www.udemy.com/course/selling-smarter-a-complete-guide-for-sales-professional/

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Free Download Udemy - Simple Artificial Intelligence (AI)
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 5m | Size: 490 MB
Generative AI Governance

What you'll learn
Gain a technical and strategic understanding of Generative AI's capabilities and constraints.
Develop the ability to identify and mitigate risks associated with AI deployment.
Learn to align AI initiatives with legal and ethical standards across jurisdictions.
Acquire practical tools to implement governance frameworks within organizations.
Prepare for future regulatory developments and industry shifts in AI policy.
Requirements
To ensure participants can fully benefit from this course, the following foundational knowledge is recommended (though not strictly mandatory, as key concepts will be introduced)
General Understanding of AI & Machine Learning Basic familiarity with artificial intelligence (AI) and machine learning (ML) concepts. Awareness of common AI applications (e.g., chatbots, recommendation systems). Helpful but not required: Experience with Python or data science.
Awareness of Generative AI (Optional but Beneficial) Exposure to Generative AI tools (e.g., ChatGPT, DALL·E, Midjourney). Basic understanding of how large language models (LLMs) work.
Professional or Academic Background in Related Fields Technical roles: Some experience in software, data, or AI development is useful but not mandatory. Non-technical roles: Background in law, policy, ethics, business strategy, or governance helps contextualize AI challenges.
Interest in Ethics, Compliance, or Policy (For Governance Modules) No prior expertise needed, but a curiosity about AI ethics, regulations, or risk management will enhance learning.
No Advanced Math or Coding Required The course focuses on concepts, governance, and strategy-not technical implementation. No programming or deep mathematical knowledge is expected.
Description
Generative AI and Responsible AI GovernanceCourse Overview:The rapid advancement of Generative AI is reshaping industries, economies, and societies, presenting unprecedented opportunities alongside complex ethical, legal, and governance challenges. This in-depth course provides a structured exploration of Generative AI technologies, their applications, inherent risks, and the frameworks necessary to ensure their responsible development and deployment. Designed for professionals across multiple disciplines, this course bridges the gap between technical understanding and governance strategy, empowering participants to navigate the evolving AI landscape with confidence and foresight.Target Audience:This course is designed for professionals who need to understand, implement, or regulate Generative AI responsibly, including:Technology Leaders & Innovators (CTOs, CIOs, Product Managers, Innovation Leads)AI Developers, Data Scientists, and Machine Learning EngineersLegal, Compliance, and Risk Management ProfessionalsPolicy Makers, Regulators, and Government OfficialsCorporate Governance, Ethics, and Responsible AI SpecialistsKey Learning Objectives:By the end of this course, participants will be able to:Understand Generative AI Fundamentals - Explore how models such as GPT, DALL·E, GANs, and transformers function, their evolution, and their distinctions from traditional AI.Evaluate Applications and Industry Impact - Analyze real-world use cases across sectors, including content generation, healthcare, finance, and legal industries, while identifying opportunities and disruptions.Assess Risks and Ethical Challenges - Recognize critical concerns such as bias, misinformation, intellectual property issues, job displacement, and malicious misuse.Navigate AI Governance and Compliance - Examine global regulatory landscapes, including the EU AI Act, U.S. policies, China's regulatory approach, and industry self-regulation efforts.Implement Responsible AI Frameworks - Apply best practices for fairness, transparency, accountability, and human oversight using frameworks like NIST AI RMF and impact assessments.Develop Future-Ready Governance Strategies - Anticipate emerging trends, balance innovation with regulation, and foster international collaboration in AI governance.Course Structure:The course is divided into 10 comprehensive modules, each consisting of detailed presentations, case studies, and practical exercises:Introduction to Generative AI - Definitions, history, and significance.How Generative AI Works - Key technical concepts, model architectures, and limitations.Applications of Generative AI - Industry-specific implementations and disruptions.Risks and Challenges - Ethical dilemmas, security threats, and societal impacts.Introduction to AI Governance - Stakeholders, ethical frameworks, and governance models.Principles of Responsible AI - Fairness, explainability, privacy, and accountability.Regulations and Policies - Comparative analysis of global AI regulations.Case Studies - Real-world examples from leading AI systems (ChatGPT, DALL·E, Watson Health).Frameworks and Best Practices - Risk management, human-in-the-loop systems, and monitoring.Future of AI Governance - Long-term strategies for ethical foresight and leadership.Learning Outcomes:Gain a technical and strategic understanding of Generative AI's capabilities and constraints.Develop the ability to identify and mitigate risks associated with AI deployment.Learn to align AI initiatives with legal and ethical standards across jurisdictions.Acquire practical tools to implement governance frameworks within organizations.Prepare for future regulatory developments and industry shifts in AI policy. Who Should Enroll?This course is essential for professionals seeking to:Lead AI adoption while minimizing organizational and societal risks.Ensure compliance with evolving AI regulations.Design ethical AI systems with robust governance mechanisms.Stay ahead of technological and policy trends in Generative AI.Enroll Today to Master the Intersection of AI Innovation and Responsible Governance.
Who this course is for
Technology Leaders & Innovators
AI Developers & Data Practitioners
Legal, Compliance & Risk Professionals
Ethics & Governance Specialists
Policy Makers & Regulators
Business Strategists & Consultants
Academics & Researchers
Journalists & Public Communicators
Homepage

https://www.udemy.com/course/simple-artificial-intelligence-ai/

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Free Download Udemy - Snowflake Master Class for Data Engineers-AWS-Zero to Expert
Published 4/2025
Created by Sujith Nair
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 250 Lectures ( 17h 46m ) | Size: 7 GB

18 hours of action packed Snowflake Data Engineering content including Hybrid tables, Iceberg tables and Dynamic Tables.
What you'll learn
Learn how to load Data into Snowflake
Learn how to Mask Data in Snowflake
Learn how to Time Travel in Snowflake
Learn how to Clone Data in Snowflake
Learn Hybrid Tables, Dynamic Tables, Event Tables and Iceberg Tables
Requirements
Basic SQL
Basic AWS (s3)
Description
Elevate your data engineering and cloud analytics skills with this comprehensive Snowflake Master Class, specifically tailored for professionals leveraging Amazon Web Services (AWS). This intensive course delves deep into the intricacies of the Snowflake Data Cloud, equipping you with the practical knowledge and hands-on experience to design, build, optimize, and manage robust data solutions on AWS.Starting with a foundational understanding of Snowflake's unique architecture and its seamless integration with the AWS ecosystem, you will progress through critical data engineering workflows. Learn to efficiently ingest diverse data sources, including structured and semi-structured formats, utilizing powerful tools like Snowpipe for continuous data loading. Master automation techniques with Snowflake Tasks and track data changes effectively with Streams.Explore Snowflake's innovative features for data management and resilience, including Time Travel and Fail-Safe, and gain a thorough understanding of various Snowflake table types and their optimal use cases. Discover the power of Zero-Copy Cloning for agile development and testing.Crucially, you will learn how to secure your Snowflake environment with granular Roles and Access Controls and implement Dynamic Data Masking for sensitive information. Understand the principles and practicalities of secure Data Sharing both within and outside your organization.The course further explores advanced topics such as optimizing query performance and managing costs effectively using Materialized Views and various tuning strategies. You will also learn techniques for Data Sampling and how to integrate with external data sources via External Tables. Finally, we will explore the exciting new capabilities of Dynamic Tables, Event Tables, Hybrid Tables, and Iceberg Tables, preparing you for the future of data management in Snowflake.This Master Class culminates with a dedicated module focused on preparing you for Snowflake Data Engineer interviews, covering key concepts and practical scenarios. By the end of this course, you will possess the expertise to architect and implement sophisticated, scalable, and cost-efficient data solutions using Snowflake on AWS.Course Topics:Introduction to Snowflake: Overview of the Snowflake Data Cloud, its value proposition, and integration with AWS services.Getting Started with Snowflake on AWS: Account setup, connecting via Snowsight and other clients, navigating the Snowflake interface.Snowflake Architecture: Understanding Snowflake's unique multi-cluster shared data architecture, virtual warehouses, and cloud services layer.Storage Integration with AWS S3: Configuring and managing external stages for seamless data access and loading from AWS S3.Loading Data to Snowflake: Best practices and techniques for bulk loading structured data using COPY INTO statements.Loading Semi-Structured Data to Snowflake: Efficiently loading and querying JSON, Avro, Parquet, and other semi-structured data formats.Snowpipe: Implementing continuous data ingestion pipelines for real-time and near real-time data loading.Tasks: Automating data processing workflows, scheduling SQL statements, and managing dependencies.Streams: Tracking data changes in tables for efficient ETL/ELT processes and incremental updates.Time Travel & Fail-Safe: Understanding and utilizing Snowflake's data recovery and historical data access features.Snowflake Table Types: Deep dive into Permanent, Transient, and Temporary tables and their use cases.Zero Copy Cloning: Leveraging instant, zero-cost cloning for development, testing, and disaster recovery.Roles and Access Controls: Implementing robust security models using Snowflake's role-based access control (RBAC) framework.Dynamic Data Masking: Protecting sensitive data with dynamic masking policies based on user roles.Data Sharing: Securely sharing data with internal and external stakeholders without copying or moving data.Materialized Views: Optimizing query performance by creating and managing materialized views.Performance Tuning and Cost Optimization: Strategies for analyzing query performance, optimizing SQL, and managing warehouse costs.Data Sampling: Techniques for extracting representative subsets of data for analysis and testing.External Tables: Querying data directly from external storage locations like AWS S3 without loading.Dynamic Tables: Understanding and implementing declarative data transformation pipelines with automatic refresh.Event Tables: Capturing and analyzing event data within Snowflake.Hybrid Tables: Exploring the capabilities and use cases of Snowflake's Hybrid Tables.Iceberg Tables: Working with Iceberg tables in Snowflake for enhanced data lake functionality.Snowflake Data Engineer Interview : Snowflake interview for those who are trying to get a Snowflake job and want to know what a Snowflake interview sounds like.
Who this course is for
Entry Level Developers or Fresher who has basic knowledge of SQL and AWS s3
Experience Cloud Data Developer with experience on non-Snowflake Databases like Redshift or Azure Synapsis
Experienced Snowflake Developer who is looking to expand Snowflake Knowledge
Recently added to a project that has Snowflake and you want to learn it to get ready to be able to work there
Experienced on-prem data engineer who is looking to transition to the cloud
Homepage

https://www.udemy.com/course/snowflake-master-class-for-data-engineers-aws-zero-to-expert/

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Free Download Udemy - Sports Broadcasting Fundamental
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 23m | Size: 1.8 GB
Strategies for producing higher quality sports broadcast, Artificial intelligence in sports broadcasting, etc.

What you'll learn
Strategies for producing higher quality sports broadcast
Sports broadcast solutions, tools and equipment
Artificial intelligence in sport broadcasting
Key elements in sports reporting
How can you create a successful sports broadcasting strategy
Sports broadcasting techniques
Planning for sports broad casting
Requirements
Desire to understand more about sports broacasting
No special requirement
Description
Sports broadcasting involves the creation and distribution of sports content through various media, including television, radio, and online platforms, encompassing live coverage analysis, and related programming. A sports broadcasting team might cover a football game, including live commentary replays, and interview with players and coaches, then follow up with a post-game analysis show. Sports broadcasting is a competitive and dynamic field that requires careful planning and execution. Whether you are a sports manager a media producer or a sports talent you need to have a clear and effective strategy to reach and engage your audience, showcase your brand, and deliver value. The first step in creating a successful sports broadcasting strategy is to know your audience, who are they? what are their preferences, needs and expectations? how do they consume sports content? what platforms and devices do the use? how do they interact with you and other sports fans. By answering these questions, you can tailor your content, format, style, and tone to suit your audience and attract their attention. The next important step is to define your goals for your sports broadcasting strategy. What are you trying to achieve, what are your key performance indicators, how will you measure your success, your goal should be specific, measurable achievable, relevant and time-bound. For example, you might want to increase your viewership, revenue, engagement, loyalty, or awareness.
Who this course is for
sports broadcasters, sports reporters, players, spectators, managers, coaches, consultants, referees, sports associations, governments, directors, marketers, sponsors, general public etc
Homepage

https://www.udemy.com/course/sports-broadcasting-fundamental/

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Free Download Udemy - Stop Wasting Money! Master Facebook Marketing 2025
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 50m | Size: 4 GB
Unlock the Secrets to High-Converting Ads and Boost Your ROI

What you'll learn
Understand how Facebook's algorithm works in 2025 and how to leverage it for your business success
Learn the biggest mistakes draining your ad budget and how to avoid them for better ROI
Discover proven strategies to increase engagement and conversions on your Facebook ads
Master Facebook Ads & Retargeting like a pro to maximize your ad performance
Uncover the secret to creating high-performing ad creatives that drive results
Learn how to grow and manage Facebook groups effectively to boost engagement and build a loyal community for your brand
Requirements
To enroll, you should have basic digital marketing knowledge, familiarity with Facebook, and a desire to enhance your Facebook Ads skills. Internet access required
Description
In this course, "Stop Wasting Money! Master Facebook Marketing 2025," you will learn how to harness the full potential of Facebook marketing to maximize your return on investment (ROI). Whether you're a beginner or looking to refine your skills, this course provides valuable insights into Facebook's evolving algorithm, and how you can use it to your advantage in 2025.We'll cover the most common mistakes that drain ad budgets and teach you proven strategies to increase engagement and conversions effectively. You'll dive deep into Facebook Ads, learning how to create high-performing ad creatives that grab attention and convert. By mastering ad targeting and retargeting strategies, you will be able to re-engage potential customers and boost your ad performance.This course also includes a comprehensive guide to Facebook groups, a powerful tool for building communities, enhancing customer loyalty, and driving organic reach. We'll explore analytics and performance tracking, enabling you to measure success and refine your campaigns continuously.At the end of this course, you'll be equipped with the skills to create data-driven strategies, craft engaging content, and execute Facebook marketing campaigns like a pro, ultimately driving more sales, enhancing brand awareness, and saving money on ineffective ads. Join us to stop wasting money and start mastering Facebook marketing today!
Who this course is for
This course is for digital marketers, business owners, and entrepreneurs looking to improve their Facebook marketing skills, boost ad performance, and increase engagement and conversions
Homepage

https://www.udemy.com/course/stop-wasting-money-master-facebook-marketing-2025/

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Free Download Udemy - The Complete Guide To Ev & Battery Thermal Management
Published 4/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.71 GB | Duration: 4h 53m
Master thermal systems, cooling strategies, and real-world EV architecture from the ground up

What you'll learn
Understand the fundamentals of heat, temperature, and modes of heat transfer in the context of electric vehicles (EVs) and battery systems.
Get introduced to lithium-ion battery chemistry and the thermal characteristics of different cell types (cylindrical, prismatic, pouch).
Learn about thermal runaway-how it happens, why it's dangerous, and how to prevent it.
Analyze how thermal management impacts battery performance, degradation, charging efficiency, and safety, including thermal runaway prevention.
Compare different cooling strategies: air cooling, liquid cooling, immersion cooling, and phase-change materials.
Explore the architecture of EV thermal management systems, including cooling loops, power electronics, cabin HVAC, and refrigeration subsystems.
Understand the role of each EV subsystem-battery, power electronics, motor, and cabin-and how they generate and manage heat.
Design basic thermal management systems by calculating thermal loads and understanding component sizing for cooling and heating applications.
Dive into real-world examples like the Tesla Model 3 and Ford Mach-E to see how industry leaders design thermal systems.
Explore thermal management in energy storage systems (ESS), electric boats, and consumer electronics.
Discover emerging technologies like heat pumps, 3D vapor chambers, solid-state batteries, and AI-based cooling strategies.
Requirements
Curiosity and interest in electric vehicles, batteries, or energy systems is all you need to get started.
No prior experience in electric vehicles or thermal systems is required-this course starts from the fundamentals.
Description
The Complete Guide to EV & Battery Thermal ManagementWelcome to the ultimate course for mastering thermal management in electric vehicles (EVs), batteries, and energy storage systems.Whether you're an engineering student, a working professional, or an EV enthusiast, this course will give you a deep, industry-relevant understanding of how electric vehicles handle heat.From the basics of heat transfer and lithium-ion battery chemistry to advanced cooling strategies and real-world case studies like Tesla and Ford Mach-E, this course covers it all-with clarity, depth, and a focus on practical application.What You'll LearnThe fundamentals of heat, temperature, energy transfer, and battery chemistryWhy thermal management is critical for EV performance, safety, and longevityCooling strategies: air, liquid, immersion, and phase-change systemsDetailed EV subsystem architecture: battery, power electronics, HVAC, coolant, and refrigerant loopsReal-world thermal systems in Tesla, Mach-E, energy storage systems, and electric boatsHow to calculate thermal loads and size components like compressors, chillers, and pumpsSystem integration and control strategies across varying climatesFuture technologies: heat pumps, solid-state batteries, and AI-driven cooling systemsHow modeling and simulation are used in the EV industry to optimize thermal design Who Is This Course For?Engineering students looking to build a career in the EV industryMechanical, electrical, and automotive engineers transitioning to battery or thermal systems rolesEV enthusiasts and professionals who want to understand the systems behind battery coolingAnyone curious about how modern electric vehicles manage heat across their componentsWhy Take This Course?EVs are the future-but they run hot. Battery packs, power electronics, and fast charging generate serious heat. Managing that heat is what makes an EV reliable, safe, and efficient.This course is designed to give you the real-world knowledge and skills needed to understand and work with EV thermal systems. Whether you're preparing for your first EV job or upskilling in your current role, you'll walk away with practical insights you can use right away.Ready to future-proof your career?Enroll now and gain a solid foundation in one of the most in-demand and overlooked areas of EV technology-thermal management. Let's dive in!
Mechanical, electrical, mechatronics, software or automotive engineering students who want to break into the electric vehicle (EV) industry.,Working engineers looking to transition into EV industry, battery technology, or system architecture roles.,EV enthusiasts, researchers, and curious minds who want to understand how electric vehicle architecture and thermal systems work behind the scenes.,Anyone interested in how EVs manage heat across batteries, power electronics, HVAC, and other subsystems-no prior EV experience required.


Homepage

https://www.udemy.com/course/the-complete-guide-to-ev-battery-thermal-management/

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Free Download Udemy - The Complete ISO 13485 QA Course for Medical Devices
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 12m | Size: 3.03 GB
Master ISO 13485 quality assurance standards for medical devices: system design, documentation, audits, and compliance

What you'll learn
Understand the full structure, purpose, and scope of ISO 13485
Apply the key clauses including Quality Management, Resource Management, Product Realization, and Measurement & Improvement
Build and manage compliant documentation including quality policies, objectives, manuals, SOPs, and records
Conduct internal audits and management reviews that prepare your company for ISO certification
Align your quality system with ISO 13485, ensuring safety, traceability, and regulatory readiness
Create an audit-ready culture of quality, accountability, and continuous improvement
Requirements
No prior experience with ISO 13485 or quality management systems is required
No special tools or software are needed-just a computer or mobile device
Ideal for both complete beginners and professionals looking to refresh their knowledge
Curiosity, commitment, and a desire to implement or understand ISO 13485 effectively
Description
In today's fast-evolving medical device industry, maintaining safety, compliance, and product consistency isn't just good practice-it's a legal and ethical necessity. ISO 13485 is the globally recognized quality management standard specifically designed for medical devices, and mastering it is a key step toward regulatory compliance, market approval, and quality excellence.This course is your all-in-one guide to understanding, implementing, and auditing ISO 13485. Whether you're new to quality management or an experienced professional seeking certification, this course will help you develop the skills, confidence, and practical knowledge to align your organization with ISO 13485 requirements.With real-world examples, downloadable templates, and easy-to-follow lessons, you'll walk away ready to build, improve, and audit a fully compliant quality system.What You'll LearnThe structure and purpose of ISO 13485 and its relevance to medical device quality assuranceHow to interpret and apply the standard's key clauses: Quality Management System, Management Responsibility, Resource Management, Product Realization, and Measurement & ImprovementHow to build ISO 13485-compliant documentation: quality policies, manuals, objectives, SOPs, work instructions, and recordsBest practices for implementing quality controls throughout the device lifecycle-from design and development to deliveryHow to prepare for and conduct internal quality audits and management reviewsHow to meet global regulatory requirements and foster a culture of quality and accountabilityWho This Course is ForThis course is ideal for:Quality Assurance & Regulatory Affairs professionals working in MedTechMedical device engineers, designers, and developersCompliance officers, auditors, and consultantsHealthcare entrepreneurs and startup founders aiming for ISO 13485 certificationStudents and career changers entering the medical or quality sectorAnyone responsible for creating or maintaining a quality system in a medical device companyWhether you're building a QMS from scratch or improving an existing system, this course gives you the tools to succeed.Why Enroll Now?With increasing global demand for safe and effective medical devices, companies are under more pressure than ever to meet quality and regulatory expectations. ISO 13485 isn't just a standard-it's your competitive edge.By the end of this course, you'll be able to contribute to or lead ISO 13485 quality systems in your organization, positioning yourself as a valuable expert in a high-demand field.
Who this course is for
Quality Assurance & Regulatory Affairs Professionals
Medical Device Engineers, Designers & Managers
Compliance Officers and Risk Managers
MedTech Startups aiming for ISO 13485 Certification
Students or career changers entering the medical industry
Consultants working with healthcare or medical device clients
Homepage

https://www.udemy.com/course/the-complete-iso-13485-qa-course-for-medical-devices-a/

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Free Download Udemy - The Procreate Pointillism Masterclass
Published 4/2025
Created by Simon Foster
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 25 Lectures ( 4h 25m ) | Size: 4.86 GB

Create Beautiful Pointillistic Digital Art Using the Power of Procreate
What you'll learn
How to create beautiful pointillistic drawings inside Procreate
How to use brand new techniques for beautiful and flexible effects
The best way to use the brand new pointillism brushes
How to use clipping layers, layer masks and selections
Requirements
A working version of Procreate, ideally on an iPad
An Apple pencil would be really useful
A very basic knowledge of Procreate would be useful, but not essential - I provide a quick tutorial
Description
This is a course all about creating beautiful pointillistic drawings in Procreate. Pointillism noted for its beautiful soft shading and gentle, almost smoky transitions from dark to light.It's also noted for taking absolutely forever to create. One dot at a time. Weeks and weeks of work - I've done it the traditional way and believe me; I admire the patience of those great (& dotty!) artists who get their work finished. Nowadays I just don't think I have the patience for it. So I decided to do something about it that no one has done before. I've created a digital pointillism workflow that reduces days into hours.I'll teach you how to do it digitally, inside Procreate . I've created a brush set that takes the wrist strain out of pointillism. I've also developed multiple new digital techniques especially for this course, so that you can master this delightful art form.I'll take you right from initial brush strokes using the different brushes you get with the course. Then I take you through two follow along tutorials which give you increasingly advanced techniques. Some of these techniques and resources you won't have seen before. That's because I've used my 35+ years experience as a professional designer/illustrator to create brand new directions using the tools Procreate gives us.On this course you will:Learn to create natural looking pointillistic drawings using ProcreateDiscover the best ways to use the brand new brushes created for this courseLearn new techniques developed especially for this courseLearn how to control digital dotty brushes but also how to use them expressivelyGet experience with Layer Masks, Clipping Masks & SelectionsIf you can scribble with an Apple pencil on an iPad, you can do this. But even though I have plenty of tuition for you to work with the end result is determined by the choices you make along the way, so there's plenty of room for you to create beautiful artwork your way.By the end of the course you will have mastered various effective pointillism techniques. Once you realise how easy it can be, you will gain the confidence to tackle your own dotty projects, and one day soon you may well be looking at one of your own creations and thinking 'That looks fantastic! I did that...'So who's teaching you? I've been a designer/illustrator for over 35 years. I've spent thousands of hours working in various design studios, worked with hundreds of clients and used many, many digital art programs. I've produced art and design for a who's who of top businesses. You may also have seen my artwork on games that have been number 1 all over the world.I'm also the author of Procreate: Solid Foundations which occupies the number 1 slot out of all the Procreate courses on Udemy. Now I'll teach you to master pointillism using Procreate.Enrol now. Don't forget you have the 30 day money back guarantee so you have nothing to lose and so much to gain. Learn pointillism using Procreate from someone who knows knows how to teach. Feel free to check out the ratings and reviews of my other courses. I've brought the past 8 years of making these courses to this one, and I feel that this course is my best yet. So get ready to be an artist. Get ready to make your work shine!I'll see you on the course,Simon
Who this course is for
People who want to learn brand new techniques to create pointillistic drawings in Procreate
Homepage

https://www.udemy.com/course/the-procreate-pointillism-masterclass/

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Free Download Udemy - Time-Series Analysis & Regression Forecasting with Python
Published 4/2025
Created by eTech School
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 71 Lectures ( 5h 45m ) | Size: 2 GB

Transform raw data into powerful forecasts with Python-learn time-series modeling, regression, real-world forecasting.
What you'll learn
Time-series concepts, notations, and use cases. Data loading, preprocessing, and feature engineering using Python.
Visualizing time-series data for insights. Forecasting using AR, MA, ARIMA, and SARIMA models.
Handling seasonality and trend components in data. Performing train-test splits and model validation correctly.
Applying linear regression (simple and multiple) for forecasting. Interpreting regression outputs and evaluating model accuracy.
Requirements
Basic knowledge of Python (variables, loops, basic functions).
Familiarity with basic statistics (mean, median, correlation).
Some exposure to pandas, matplotlib, or NumPy is helpful but not mandatory.
No prior experience with time-series or regression needed.
Description
Course Introduction:Forecasting is at the heart of modern data science, powering decision-making across finance, retail, healthcare, and beyond. This comprehensive course is your step-by-step guide to mastering time-series analysis and regression-based forecasting using Python. Whether you're a budding data scientist or an analyst aiming to add predictive analytics to your skillset, this course covers everything from basic notations to advanced models like ARIMA and SARIMA. You'll also learn how to prepare data for machine learning, visualize trends, and validate models like a pro.Through hands-on coding in Python, real-world use cases, and expert-led instruction, you'll gain the confidence to build and deploy forecasting models that actually drive impact.Section 1: Foundations of Time-Series Analysis in PythonStart your journey by understanding the fundamentals of time-series data-what makes it unique and why it matters in data science. You'll set up your environment with Anaconda and Jupyter, then dive into data loading, preprocessing, and feature engineering. You'll also learn how to visualize time-dependent patterns, apply transformations, and use basic statistical techniques like moving averages and exponential smoothing. By the end of this section, you'll be well-prepared for building time-aware models.Section 2: Time-Series Forecasting ModelsIn this section, you'll move from theory to practice with key time-series forecasting models. Starting with naive models, you'll progress to Auto-Regression (AR), Moving Average (MA), and ARIMA. Learn how to split time-series data properly, validate predictions using walk-forward validation, and interpret autocorrelation using ACF and PACF plots. You'll wrap up with SARIMA, an advanced seasonal model, and apply it all in Python through hands-on coding.Section 3: Data Preprocessing for Linear RegressionBefore building regression models, you need clean and meaningful data. This section teaches you the essential preprocessing steps required for high-quality regression modeling. You'll work through exploratory data analysis, outlier detection, missing value imputation, seasonality handling, and correlation analysis. You'll also transform variables, create dummy variables, and prepare your dataset for modeling. Each concept is reinforced with Python demos to solidify your understanding.Section 4: Building & Evaluating Regression ModelsFinally, bring your data to life by building regression models in Python. You'll understand how to apply the Ordinary Least Squares (OLS) method, interpret coefficients, and evaluate model performance using R-Squared, F-statistics, and more. You'll build both simple and multiple linear regression models, including handling categorical variables. This section ensures you're confident not only in model creation but also in explaining the results effectively.Course Conclusion:Congratulations! You've now developed the core skills required to perform both time-series forecasting and regression modeling using Python. From building clean datasets to visualizing trends and predicting future values, you're ready to tackle real-world forecasting challenges in any domain. Your ability to transform data into insight will set you apart as a capable and confident data professional.
Who this course is for
Aspiring data scientists and analysts looking to master forecasting.
Business intelligence professionals wanting to enhance reporting with prediction.
Students in data science or machine learning programs.
Python developers eager to apply coding skills to statistical forecasting.
Anyone curious about time-series analysis, regression, or predictive modeling.
Homepage

https://www.udemy.com/course/time-series-analysis-regression-forecasting-with-python/

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Free Download Udemy - Turn Python into Profit Algorithmic Trading & Automation
Published 4/2025
Created by Aman Awan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 28 Lectures ( 3h 22m ) | Size: 1.7 GB

Learn Python for Trading, Build Automated Strategies, and Start Earning with Hands-On Projects
What you'll learn
Master Python fundamentals - Learn core programming concepts, including data types, loops, and conditional statements, with a focus on finance applications.
Work with real financial data - Fetch market data using Yahoo Finance, analyze datasets, and perform time-series evaluations in Jupyter Notebook.
Build and backtest trading algorithms - Design, code, and test trading strategies with risk management and trade execution modules.
Automate data collection and processing - Use Exchange APIs, CCXT library, and debugging techniques to fetch and clean financial data.
Complete a real-world project - Research, develop, and backtest a real estate trading algorithm from start to finish.
Requirements
No prior programming experience required! This course starts with Python fundamentals, making it beginner-friendly.
Basic understanding of finance is helpful but not necessary. We'll cover financial concepts as we apply them to coding.
A computer with an internet connection - You'll need Python installed (we'll guide you through the setup).
Jupyter Notebook recommended - We'll use it for data analysis and coding exercises.
Description
Are you ready to turn Python into profit and unlock the potential of algorithmic trading? Whether you're a trader, finance professional, or programmer, this hands-on masterclass will teach you how to use Python to build automated trading systems, analyze financial data, and create income streams.In this comprehensive course, you'll learn everything from Python fundamentals to advanced algorithmic trading strategies. By the end, you'll be able to design, backtest, and automate trading algorithms while leveraging real-world financial data to make informed decisions.What You'll Learn:Section 1: Python Fundamentals for FinanceMaster the basics of Python programming, including data types, loops, and conditional statements.Explore intermediate Python concepts to prepare for financial applications.Section 2: Working with Financial DataLearn how to fetch and analyze financial data from sources like Yahoo Finance.Use Pandas and Jupyter Notebooks for data frame analysis and time series evaluation.Understand how to interpret results and make data-driven decisions.Section 3: Coding and Backtesting Trading AlgorithmsDesign a trading algorithm from scratch, including data management, risk management, and trade execution modules.Learn how to backtest your strategies to ensure they're profitable and reliable.Explore portfolio management techniques to optimize returns.Section 4: Automated Data Collection, Cleaning, and StorageWork with exchange APIs and libraries like CCXT to collect live market data.Automate data cleaning and storage processes for efficient analysis.Debug and modify code to handle real-world trading scenarios.Section 5: Project: Research and Backtest a Realistic AlgorithmApply everything you've learned to develop, research, and backtest a real-world trading algorithm.Gain hands-on experience with a capstone project that simulates real trading environments.Why Enroll in This Course?No Prior Experience Needed: This course starts with the basics and gradually progresses to advanced topics, making it perfect for beginners and intermediate learners.Hands-On Projects: Learn by doing with real-world projects that simulate actual trading scenarios.Income-Focused Skills: Gain the skills to automate trading strategies and create potential income streams.Expert Guidance: Learn from an instructor with real-world experience in Python, finance, and algorithmic trading.Lifetime Access: Get lifetime access to course materials, including videos, code templates, and downloadable resources.Who Is This Course For?Aspiring Traders who want to use Python to build and automate trading strategies.Finance Professionals looking to enhance their data analysis and automation skills.Programmers interested in applying Python to financial markets and algorithmic trading.Anyone who wants to earn income by leveraging Python and algorithmic trading.Tools and Technologies Covered:PythonPandas, NumPy, and MatplotlibJupyter NotebooksYahoo Finance APICCXT LibraryExchange APIs (e.g., Binance, Coinbase)Start Your Journey to Financial Success Today!Don't just learn Python-use it to automate income streams, analyze markets, and build profitable trading algorithms. Enroll now and take the first step toward mastering Python for finance and algorithmic trading.
Who this course is for
Finance professionals & analysts - Looking to enhance their data analysis and trading strategy skills using Python.
Aspiring algorithmic traders - Wanting to learn how to code, backtest, and automate trading strategies.
Investors & traders - Seeking to leverage financial data and automation for better decision-making.
Python beginners & programmers - Interested in applying coding skills to financial markets.
Python beginners & programmers - Interested in applying coding skills to financial markets.
Homepage

https://www.udemy.com/course/python-profit/

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Free Download Udemy - Ultimate Javascript Course For Beginners
Published 4/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.43 GB | Duration: 3h 30m
Learn JavaScript from scratch to advanced with hands-on projects, clear lessons, and real-world applications

What you'll learn
JavaScript fundamentals and syntax.
DOM manipulation and events.
Build basic interactive web pages.
How to use variables, functions, and loops.
Requirements
No prior cloud experience required; beginners welcome.
Access to a computer and stable internet connection
Basic computer literacy and internet navigation skills.
Description
Welcome to "Ultimate Javascript Course for Beginners ", the ultimate online course designed by DIMA, your trusted online educational platform. This comprehensive course takes you on a full journey through the world of JavaScript - from the absolute basics to advanced, real-world applications - making it ideal for complete beginners as well as developers looking to level up their skills.JavaScript is one of the most essential languages in modern web development, powering everything from interactive websites to full-stack applications. In this course, you'll start with the fundamentals: variables, data types, functions, loops, and control structures. As you progress, you'll dive deeper into more complex topics like DOM manipulation, ES6+ features, asynchronous programming, APIs, and working with frameworks.At DIMA, we believe learning should be practical, engaging, and project-based. That's why this course includes hands-on exercises, quizzes, and real-world projects to reinforce your knowledge and help you build a portfolio. By the end of the course, you'll have the skills and confidence to create fully functional web apps, understand JavaScript's core concepts, and even prepare for job interviews in tech.Whether you're a student, a career switcher, or a self-taught coder, this course is your gateway to becoming a JavaScript pro - with DIMA by your side every step of the way.
Beginners with no coding experience.,Aspiring front-end developers.,Students learning web development.,Anyone curious about JavaScript basics.


Homepage

https://www.udemy.com/course/ultimate-javascript-course-for-beginners/

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