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Free Download AI Fundamentals for Beginners From AI Testing to GenAI
Published 4/2026
Created by Pankaj Gupta
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 81 Lectures ( 3h 44m ) | Size: 3.1 GB

Learn AI & GenAI testing from scratch with real‑world examples, no‑code, beginner friendly + Prompt Engineering
What you’ll learn
✓ Understand how AI systems differ from traditional applications
✓ Test machine learning models with the right mindset
✓ Design effective AI test cases
✓ Identify bias, hallucination, and unsafe AI responses
✓ Test Generative AI systems using prompt variations
✓ Apply automation basics in AI testing
✓ Handle real-world AI testing scenarios confidently
✓ Explain AI testing concepts clearly in interviews
✓ This is highly relevant for modern AI projects.
Requirements
● Basic knowledge of software testing
● Curiosity to learn AI testing
● No machine learning background needed
● No heavy coding required
Description
AI Testing for Beginners – Practical Guide for Software Testers
Artificial Intelligence is now part of modern software applications – including chatbots, recommendation systems, resume screening tools, credit scoring systems, and Generative AI platforms.
However, many software testers find it challenging to test AI-based systems effectively.
Traditional testing approaches often fall short because
• Expected results are not always fixed
• AI outputs can vary for the same input
• Behavior may change over time
• Issues like bias, inconsistency, and hallucinations can occur
• Automation strategies need a different approach
If you are a tester exploring AI systems, this course is designed to help you understand how AI works and how testing needs to adapt.
What Makes This Course Different
This course is designed specifically for software testers, not data scientists.
You will learn
• AI concepts explained in simple, practical language
• Testing approaches tailored for real-world QA scenarios
• Clear explanations without complex mathematics
• Coverage of modern Generative AI testing concepts
• Beginner-friendly content with minimal coding Requirements
The focus is on helping you understand AI systems from a tester’s perspective.
What You Will Learn
By the end of this course, you will have a clear understanding of
• How AI systems differ from traditional applications
• The mindset required for testing AI-based features
• Approaches to designing test cases for AI behavior
• Common risks such as bias, hallucination, and unsafe responses
• Techniques for testing Generative AI using prompt variations
• Where automation fits into AI testing workflows
• How to approach AI testing scenarios in real-world projects
• Key concepts that can help you discuss AI testing in interviews
Special Focus: Generative AI Testing
Generative AI is becoming a core part of modern applications.
In this course, you will explore how to evaluate
• Prompt variations and their impact on responses
• Hallucination scenarios
• Toxic or unsafe outputs
• Guardrails and safety mechanisms
• Context handling and memory behavior
• Response consistency
These concepts are highly relevant for tools like chatbots and AI assistants.
Practical & Real-World Approach
This course focuses on practical understanding through relatable examples, including
• Chatbot testing approaches
• Resume screening system scenarios
• Recommendation system behavior
• Credit scoring system analysis
• Introduction to automation in AI testing
• Hybrid testing strategies (manual + automation)
All topics are explained in a simple and structured way to make learning easier.
Strong Foundation: AI Basics Made Simple
Before moving into testing, the course builds a clear foundation by covering
• What Artificial Intelligence and Generative AI are
• How AI systems learn and make decisions
• Why AI outputs vary and how to interpret them
This helps reduce confusion and makes advanced topics easier to follow.
AI Testing with Practical Thinking
You will explore how testers approach AI systems in real scenarios, including
• Testing chatbot interactions
• Identifying inconsistency and unexpected outputs
• Evaluating risk and behavior instead of exact results
• Understanding how AI testing differs from traditional testing
Introduction to Prompt Engineering
The course also introduces key prompt engineering concepts, such as
• Writing effective vs ineffective prompts
• Zero-shot, one-shot, and few-shot prompting
• Structuring prompts for better AI responses
• Understanding how prompt design impacts output
Who this course is for
■ Manual Testers moving into AI projects
■ Automation Testers exploring AI systems
■ QA Engineers working with chatbots
■ Professionals preparing for AI testing interviews
■ Anyone curious about AI testing basics
Homepage
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https://www.udemy.com/course/ai-fundamentals-for-beginners-ai-testing-genai

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Free Download AI for Scrum Masters
Published 4/2026
Created by Agile Enterprise Coach London
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 88 Lectures ( 8h 0m ) | Size: 8.4 GB

Accelerate Agile Delivery, Coaching Impact, and Team Effectiveness Using AI and ChatGPT
What you’ll learn
✓ Understand Large Language Models, foundational models, and how GenAI fits into Agile ways of working
✓ Create and refine Agile and product-related deliverables using structured ChatGPT prompt frameworks
✓ Apply AI to Product Vision Boards, Business Model Canvas, Kano Models, Market Segmentation, and Porter’s Five Forces
✓ Generate user stories and improve backlog clarity using ChatGPT
✓ Use AI responsibly by understanding accuracy, limitations, citations, and Responsible AI principles
✓ Create presentations using ChatGPT and PowerPoint workflows
✓ Improve Agile coaching effectiveness using AI-supported facilitation and content creation
✓ Strengthen your understanding of Scrum roles, artifacts, events, and principles
✓ Apply AI knowledge in Scrum, Agile, and SAFe environments through a hands-on capstone project
Requirements
● No prior AI or ChatGPT experience is required
● No programming or technical background is needed
● Basic familiarity with Agile or Scrum concepts is helpful but not required
● A willingness to learn and experiment with AI tools is sufficient
● Access to a computer, internet connection, and a free ChatGPT account is recommended
Description
AI for Scrum Masters
Accelerate Agile Delivery, Coaching Impact, and Team Effectiveness Using AI and ChatGPT
Accelerate Agile delivery, improve team effectiveness, and elevate your impact as a Scrum Master or Agile Coach using the power of AI, ChatGPT, and Generative AI tools.
This course is a comprehensive, hands-on learning journey designed for Scrum Masters, Agile Coaches, and transformation leaders who want to apply AI practically across Scrum, Agile, and SAFe environments.
Unlock the Power of AI for Scrum Masters and Agile Coaches
In AI for Scrum Masters, you move beyond theory and buzzwords. This course shows you how to practically apply AI tools such as ChatGPT, Microsoft Copilot, Azure AI Studio, and Jasper AI to
• Improve backlog clarity and quality
• Support Product Owners and Developers
• Create high-quality Agile deliverables faster
This course focuses on AI usage specifically tailored for Scrum Masters and Agile Coaches, not generic AI concepts.
1. Getting Started with AI, GenAI, and ChatGPT
• Course introduction, agenda, and certification steps
• Trainer introduction and learning roadmap
• Introduction to ChatGPT, Large Language Models, Foundational Models, and Generative AI
• Create and set up your ChatGPT account
• Understand what OpenAI says about ChatGPT and its limitations
• Learn how GenAI tools like Microsoft Copilot can be used across Agile and Product lifecycles
2. Capstone Project: AI-Powered Agile and Scrum Deliverables
• Hands-on capstone project with real-world Scrum and Agile scenarios
• Use AI to support teams, Product Owners, and stakeholders
• Access reusable templates and key learning resources
3. AI Prompting Framework for Scrum Masters
• Deliverable Creation Framework using ChatGPT
• General ChatGPT Prompt Structure Template
• Learn how to ask better coaching and facilitation questions using AI
• Apply structured prompting techniques for Agile delivery and team coaching
4. Product and Strategy Artifacts Using ChatGPT
Scrum Masters must understand product thinking to coach effectively. In this section, you will learn how AI can support product-related discussions and alignment
• Product Vision Board concepts, prompts, and examples
• Business Model Canvas fundamentals and AI-generated outputs
• Kano Model for feature prioritization
• Market segmentation using ChatGPT
• Porter’s Five Forces for competitive and strategic awareness
5. User Stories, Backlogs, and Agile Delivery with AI
• Generate user stories related to features using ChatGPT
• Understand user stories and the Three Cs
• Improve backlog quality and refinement practices
• Definition of Done and Sprint readiness using AI
6. Responsible AI for Agile and Scrum
• Introduction to Responsible AI
• Ethical and safe use of AI in Agile environments
• Managing accuracy, bias, and citations in AI outputs
• Verification and validation techniques for AI-generated content
7. AI-Powered Presentations for Scrum Masters and Agile Coaches
• ChatGPT prompt templates for crafting presentation outlines
• Generate Sprint Review, Retrospective, and Executive presentations
• Move content from ChatGPT to PowerPoint using VBA
• Transfer content using MS Word and PowerPoint Online
• Enhance slide design using PowerPoint Designer
• Create new presentations from scratch or existing files
8. Agile and Scrum Foundations for Coaching Excellence
• Waterfall vs Agile
• Agile overview, values, and principles
• Definition of Scrum and Scrum Theory
• Scrum pillars, values, and artifacts
• Scrum roles: Developers, Product Owner, Scrum Master, and Stakeholders
• Scrum events: Sprint, Planning, Daily Scrum, Review, and Retrospective
9. Scaling Agile with SAFe for Scrum Masters
• SAFe overview and Big Picture navigation
• Lean-Agile principles
• Scrum at the team level in SAFe
• Scrum Master responsibilities in SAFe
• Agile Release Trains
• PI Planning events, agenda, and benefits
• Requirements and Agile teams in SAFe
• Who Can Benefit from This Course?
• Scrum Masters seeking to increase their impact using AI
• Agile Coaches driving team and enterprise-level transformations
• SAFe practitioners and Agile transformation leaders
• Product Owners and Agile leaders working closely with Scrum teams
• Aspiring Scrum Masters preparing for real-world Agile roles
Why Enroll in This Course?
• Practical, real-world AI use cases for Scrum Masters
• Hands-on capstone project focused on Agile delivery
• Reusable AI prompt frameworks for daily Scrum Master work
• Skills that future-proof your Agile career
• Designed and delivered by an experienced Enterprise Agile Coach
Join the AI-Powered Future of Scrum and Agile Coaching
AI will not replace Scrum Masters. Scrum Masters who use AI will outperform those who do not.
Enroll in AI for Scrum Masters and transform how you coach teams, facilitate Scrum events, support Product Owners, and scale Agile with confidence.
About Me: Vipesh Singla, MBA, Agile Product Management Coach
Embark on a journey of transformation with Vipesh Singla, a seasoned Agile Product Management Coach with an impressive track record. Certified and licensed as a SAFe Agile Coach and SAFe Practice Consultant, I bring a wealth of experience to the table.
Throughout my career, I have played pivotal roles in Agile Transformations and Product Management Assignments for a diverse array of Global 2000 companies. Notably, I’ve collaborated with esteemed clients and employers from prestigious groups such as GAFAM, Big 4, Big Tech, Big Pharma, Fortune 100, and FTSE 100. My versatility shines through various roles, including Product Manager, Product Owner, Scrum Master, and Agile Coach.
Education forms the foundation of my expertise, holding both an MBA and a Bachelor of Engineering degree from one of India’s prestigious institutes. As a certified SAFe SPC/Agile Coach, I bring a proven track record of driving successful Agile transformations.
With a track record that speaks volumes, I am proud to be at the forefront of Agile Product Management coaching. Boasting a remarkable achievement of over 1 Million plus registrations across all my programs, I have had the privilege of influencing and guiding a diverse community of 300,000 unique students.
My digital presence extends globally, reaching enthusiasts and professionals in 200 countries. This widespread outreach has allowed me to connect with a vast audience, transcending language barriers. Our community is not confined to English alone; we thrive in a multilingual environment, with students conversing in 47 languages.
As an Agile Product Management Coach, my commitment is to empower individuals worldwide with the knowledge and skills necessary for success in the dynamic field of product management. Join me on this transformative journey, and let’s navigate the realm of Agile Product Management together.
Who this course is for
■ Agile Coaches supporting teams, programs, or enterprise Agile transformations
■ SAFe practitioners working with Scrum teams in scaled Agile environments
■ Product Owners and Agile team members who collaborate closely with Scrum Masters
■ Aspiring Scrum Masters preparing for real-world Scrum and Agile roles
■ Agile professionals who want a practical, hands-on introduction to using AI in day-to-day Agile work
■ Agile professionals who want a practical, hands-on introduction to using AI in day-to-day Agile work
Homepage
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https://www.udemy.com/course/ai-for-scrum-masters

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Free Download Ai For Sales Crm Become A Bdr Who Actually Gets Replies
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 543.19 MB | Duration: 0h 48m
Master AI-powered prospecting, cold outreach, HubSpot CRM, and GTM tools to land your first BDR role
What you’ll learn

Set up a complete HubSpot CRM with leads, pipeline, templates, and dashboards on the free plan
Write cold emails and LinkedIn messages that get replies using the 3-line formula and AI personalization
Use Apollo, Hunter, and ChatGPT to find and qualify 20 real B2B leads with verified emails
Handle the 5 most common sales objections and walk into any BDR interview with a complete portfolio
Requirements
No prior sales experience required. Just a laptop, internet, and a Gmail account.
Description
Are you looking to break into B2B sales as a Business Development Representative (BDR) but feel overwhelmed by the tools, techniques, and terminology? This course is designed to take you from zero to job-ready by teaching you exactly how modern sales teams operate and how AI is transforming the way BDRs find leads, write outreach, and manage pipelines.You will start by understanding how B2B sales works, including the difference between sales funnels and pipelines, what an Ideal Customer Profile (ICP) is, and what a typical day looks like for a BDR. From there, you will dive into hands-on prospecting using tools like Apollo, Hunter, and ChatGPT to build verified lead lists from scratch.Next, you will learn the art of cold outreach. We cover a proven 3-line cold email formula, LinkedIn messaging strategies, and how to A/B test your campaigns for better response rates. You will also set up HubSpot CRM from the ground up, learning how to create pipelines, import contacts, build email templates, and track your deals on a dashboard.The course also covers sales analytics, objection handling frameworks, and how to use ChatGPT for roleplay practice so you can sharpen your skills before real conversations. You will build a KPI tracker, create an objection cheat sheet, and analyze your pipeline performance.Finally, we explore the world of GTM (Go-To-Market) engineering, covering modern tools like Clay, Factors, and other AI-powered platforms that are reshaping how companies acquire customers. By the end of the course, you will have assembled a complete sales starter kit and interview portfolio, including a 1-page playbook, lead research spreadsheet, CRM setup, and outreach samples that you can showcase to potential employers.Whether you are a college student, career switcher, or aspiring sales professional, this course gives you the practical skills and portfolio pieces you need to land your first BDR role and start generating revenue from day one.
MBA students and graduates targeting their first BDR, Inside Sales, or Growth Associate role in India
Homepage
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https://www.udemy.com/course/ai-for-sales-crm-become-a-bdr-who-actually-gets-replies/

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Free Download Ai For Product Decision-Making & Experimentation
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 459.44 MB | Duration: 1h 2m
Make better product decisions with AI: hypotheses, A/B testing, metrics, and stakeholder-ready insights
What you’ll learn

Structure product decisions using a clear AI-driven framework from problem definition to action
Generate and refine testable product hypotheses using AI to reduce bias and improve thinking
Design better experiments and A/B tests with clear metrics, variables, and success criteria
Make faster, more defensible product decisions using AI-supported analysis and validation
Requirements
Basic understanding of product management, UX, or data-driven decision-making is helpful but not required
No prior AI experience required – all prompts and frameworks are provided
Familiarity with product metrics (activation, retention) is useful but not mandatory
Description
Most PMs don’t struggle with ideas – They struggle with decisions.Most product teams don’t have a research problem – They have a decision problem.Features get shipped based on assumptions.Experiments are run without clear hypotheses.Insights are generated-but rarely change what actually gets built.This course shows you how to use AI to fix that.You’ll learn how to apply AI as a decision support system across the full product workflow-from defining problems to making and communicating decisions.Instead of using AI for generic outputs, you’ll learn how to use it to:Structure product thinkingGenerate and refine hypothesesDesign better A/B tests and experimentsEvaluate trade-offs and risksTurn insights into clear product decisions and roadmap actionsCommunicate decisions in a way stakeholders trustThis is not a theoretical course.It’s a practical system used by high-performing product teams to move frompinions → evidenceinsights → decisionsoutput → impactYou’ll also get ready-to-use prompts, frameworks, and a decision canvas you can apply immediately in your work.Whether you’re a Product Manager, Product Analyst, UX Researcher, or working in product strategy, this course will help you make faster, more structured, and more defensible decisions using AI.Course AuthorDr. Alex Amoroso, PhDLead UX & Product Researcher | Head of School (MTF)Dr. Alex Amoroso is a Senior UX and Product Researcher with over 10 years of experience helping organisations turn research and data into better product decisions.Her work sits at the intersection of research, product strategy, and decision-making. She has conducted large-scale studies with over 6,000 users across B2B and B2C environments, producing 30+ research reports that have directly informed product direction, user experience design, and innovation initiatives.She has worked with organisations across Europe on data-driven products, analytics platforms, and IoT systems-partnering with cross-functional teams to translate complex insights into clear, actionable decisions.Alongside her industry work, Dr. Amoroso teaches Advanced Research Design and Methodologies to doctoral students and serves as Head of the School of Business and Management at the Institute of Management, Technology and Finance.She holds a PhD in Health Anthropology, with research focused on human behaviour, environmental stress, and quantitative data analysis. Her academic work has been published in multiple peer-reviewed journals.In her courses, she combines:Academic rigourReal-world product case studiesPractical frameworks you can apply immediatelyHer focus is simple:help professionals move from insights → decisions → impact.Course provided by MTF Institute of Management, Technology and FinanceMTF Institute is a global educational and research institute headquartered in Lisbon, Portugal. We offer hybrid business and professional education in the areas of Business and Management, Science and Technology, and Banking and Finance.MTF Institute R&D Center conducts research in Artificial Intelligence, Machine Learning, Data Science, Big Data, Web3, Blockchain, Cryptocurrency and Digital Assets, Digital Transformation, Fin-tech, E-commerce, and the Internet of Things.MTF Institute is an official partner of Deloitte, IBM, Intel, and Microsoft, and is a member of the Portuguese Chamber of Commerce and Industry and the Union of Trade and Services Associations of Lisbon.MTF Institute has a global presence across 216 countries and territories and has been chosen by more than 1 mln. students.
Product Managers, UX Researchers, and product teams who want to move from insights and opinions to structured, data-driven decisions using AI.
Homepage
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https://www.udemy.com/course/ai-for-product-decision-making-experimentation/

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Free Download AI for Operations Management From Forecasting to Automation
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 42m | Size: 2.87 GB
Use AI for forecasting, inventory, maintenance, quality, automation, and workforce planning-plus strategy, MLOps, and AI

What you’ll learn
Explain key AI technologies for operations (ML, NLP, vision, robotics, RPA) and match them to the right operational problems.
Use data-driven frameworks to move from reactive decisions to predictive, measurable operational improvements.
Apply AI use cases across forecasting, inventory, routing, maintenance, quality, and production scheduling.
Define AI project success metrics, prioritize use cases (value vs feasibility), and design pilots that scale.
Describe the AI lifecycle and MLOps basics: deployment, monitoring, drift, retraining, and model governance.
Implement change management and ethical guardrails (privacy, bias, transparency) for real-world adoption.
Requirements
There are no prerequisites for this course
Description
Did you know.
• US retailers wrote off $12B+ in excess inventory in 2023-often driven by poor forecasting and slow data signals
• IDC estimates unplanned downtime costs manufacturers ~$260,000 per minute
• Gartner reports ~70% of AI pilots stall before delivering measurable value
• McKinsey finds ~55% of AI projects never reach production
Operations is where plans meet reality-inventory, schedules, logistics, quality, customer support, and staffing. When the data gets messy and the pace gets fast, traditional tools (spreadsheets, static dashboards, fixed rules) can’t keep up.
That’s why AI for Operations Management is becoming a core capability. AI helps you predict disruptions before they happen, optimize decisions in real time, automate repetitive work, and continuously improve performance-without relying on guesswork.
In this course, you’ll learn how AI actually works in operations (in plain language) and how leading organizations apply it across the end-to-end operating system-from supply chain planning to the factory floor to service operations.
You’ll learn how to
• Understand the AI toolbox for operations: machine learning, NLP, computer vision, robotics, RPA, IoT, digital twins, and generative AI
• Build data-driven decision habits that shift your team from reactive "firefighting" to predictive control
• Apply AI to demand forecasting, inventory optimization, and supply chain routing/risk management
• Use AI for predictive maintenance, quality inspection, and production scheduling optimization
• Improve service operations with AI chatbots, email/case triage, call-assist tools, and process automation (RPA)
• Optimize workforce planning with AI scheduling, coverage forecasting, and safety/fatigue monitoring concepts
• Create an AI strategy that ties directly to business metrics (cost, service levels, uptime, lead time, productivity)
• Run AI projects end-to-end: scoping, pilots, deployment, monitoring, and continuous improvement with MLOps
• Lead adoption with practical change management so AI tools get used (and trusted)
• Evaluate emerging trends (autonomous planning, digital twins, genAI assistants) and manage ethics: bias, privacy, transparency
You’ll also walk through a real case study on John Deere’s AI transformation (computer vision "see & spray") to see what it takes to make AI work in harsh, real-world operating conditions.
By the end, you’ll be able to identify high-value AI opportunities, speak confidently with technical teams and vendors, and design a practical roadmap to implement AI in your operations-starting small, proving ROI, and scaling responsibly.
Who this course is for
Operations managers and supervisors in manufacturing, logistics, retail, or services
Supply chain, inventory, demand planning, and S&OP professionals
Continuous improvement / Lean / Six Sigma practitioners exploring AI-enabled optimization
Plant, warehouse, and production leaders focused on uptime, quality, and throughput
Customer support and service operations leaders interested in AI automation and triage
Business analysts, operations analysts, and data-minded professionals supporting ops teams
Project managers leading digital transformation, automation, or analytics initiatives
Executives and directors who need an AI roadmap for operational efficiency and resilience
Engineers and technical leads who want a practical operations-focused view of AI deployment
Students and career switchers pursuing operations management with modern AI skills

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Free Download AI For HR Analytics Using Claude AI For HR Analytics & Data
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 28m | Size: 2.78 GB
Complete AI Driven HR Analytics Course: Human Resources Management, HR Analytics Applications, HR Data, HR Reporting A-Z

What you’ll learn
Improve consistency, clarity, and quality of HR outputs
Use Claude confidently as an AI assistant for everyday HR work
Aquire powerful skills that will elevate your Human Resources Career and Help You Identify Valuable Business Insights
Design powerful prompts that generate accurate, professional HR outputs
Use Claude as an AI assistant for HR analytics and workforce reporting
Analyze headcount data and workforce distribution with clarity
Identify trends, patterns, and anomalies in HR datasets
Interpret attendance, absenteeism, and leave data to uncover insights
Evaluate recruitment funnel performance from application to hiring
Track key recruitment metrics such as time-to-hire and conversion rates
Detect workforce gaps, inefficiencies, and staffing risks
Transform raw HR data into clear, actionable insights
Create structured HR reports and executive summaries in minutes
Build reusable templates for HR analytics and reporting
Generate dashboards and data-driven summaries using AI prompts
Improve accuracy and consistency in HR reporting outputs
Reduce manual spreadsheet work and repetitive analysis tasks
Support workforce planning and strategic HR decisions using data
Communicate HR insights clearly to managers and leadership
Design powerful prompts for analyzing HR data effectively
Apply analytical thinking while using AI as a decision-support tool
Improve speed, clarity, and impact of HR analytics work
Requirements
The interest to take your HR workflows to new heights
Description
Using Claude for HR Analytics: Workforce Data, Reporting, Recruitment Insights & Decision Support
Welcome to a practical, real-world course on using Claude for HR Analytics, designed for HR professionals who want to analyze workforce data, identify patterns, improve reporting, and support better HR decisions using AI.
This premium course shows you how to combine HR analytics thinking, workforce metrics, headcount analysis, attendance tracking, recruitment funnel insights, and AI-powered prompting to produce reports, dashboards, and insights that managers, HR leaders, and executives actually understand and act on.
You will move beyond manual spreadsheets, static reports, and time-consuming data analysis-and learn how to use Claude as an HR analytics and decision-support assistant to interpret workforce data, identify trends, highlight risks, and build executive-ready reports with speed and confidence.
This is not theory and not generic AI demos.
This is real HR analytics, enhanced by AI.
What This Course Covers
You will learn how to use Claude to support HR analytics, workforce reporting, headcount tracking, attendance and absenteeism analysis, recruitment funnel evaluation, and HR data interpretation, while still applying sound analytical judgment and HR best practices.
Using realistic HR datasets, workforce scenarios, and reporting structures, you will learn how to
• Analyze headcount, workforce distribution, and organizational structure
• Interpret attendance, absenteeism, and leave patterns
• Identify trends, anomalies, and workforce risks
• Evaluate recruitment pipelines and hiring funnel performance
• Track recruitment metrics such as time-to-hire and conversion rates
• Assess workforce efficiency and staffing gaps
• Build structured HR reports and summaries
• Create standardized HR analytics templates
• Translate HR data into clear, decision-focused insights
You Will Also Learn How to Prompt Claude Effectively To
• Analyze HR datasets and workforce summaries
• Identify key patterns, risks, and improvement opportunities
• Generate HR dashboards and structured reports
• Create executive-level summaries and insights
• Build reusable templates for HR reporting and analytics
• Improve clarity, accuracy, and consistency of HR reports
• Support data-driven HR decisions without replacing professional judgment
What You Will Learn
By the end of this course, you will be able to
• Use Claude to analyze HR data and workforce metrics
• Interpret headcount, attendance, and absenteeism trends
• Evaluate recruitment funnel performance and hiring efficiency
• Identify workforce gaps, risks, and improvement opportunities
• Create structured HR reports and dashboards
• Build reusable HR analytics templates
• Translate HR data into clear insights for decision-making
• Improve reporting speed, clarity, and consistency
• Support strategic workforce planning using AI
• Apply analytical thinking using AI as a support tool
• Reduce manual data analysis while improving insight quality
Who this course is for
HR professionals (Junior, Mid-Level, and Senior)
Recruitment and Talent Acquisition Specialists
HR Business Partners (HRBPs)
People & Culture Professionals
HR Generalists and HR Officers
Managers involved in hiring, interviewing, and performance reviews
Consultants providing HR and people advisory services
Professionals transitioning into AI-enabled HR roles
Anyone who wants to use AI responsibly in Human Resources
Human Resources teams that want to enhance their productivity and workflow through AI

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Free Download AI for HR & Recruitment ChatGPT, Copilot and 30+ Use Cases
Published 4/2026
Created by Maria Ismail
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 49 Lectures ( 3h 24m ) | Size: 3.52 GB

Learn the basics of AI and apply 30+ real use cases with ChatGPT and Microsoft Copilot in recruitment and HR workflows
What you’ll learn
✓ Understand how AI works and where it can actually help you in recruitment and HR
✓ Master prompting and iteration to get better and more useful outputs from AI
✓ Learn how to use ChatGPT and Microsoft Copilot in real hiring workflows
✓ Enhance candidate sourcing with AI: generate Boolean strings, explore skills, career paths and alternative job titles
✓ Craft compelling and personalised outreach messages with AI
✓ Create structured interview questions tailored to specific roles and candidates
✓ Create and improve job Descriptions using AI
✓ Screen CVs, assess skills and identify potential gaps or red flags
✓ Identify candidate motivation, risks and key strengths using AI
✓ Use AI to conduct company and market research, analyse competitor activity and benchmark salaries
✓ Apply AI to support hiring plans, decision-making and overall recruitment strategy
✓ Learn how to up-skill yourself using customised learning plans generated by AI
✓ Use AI to solve hiring challenges and improve recruitment performance
✓ Understand the limitations of AI to avoid common mistakes and bias
✓ Apply AI safely with respect to data privacy, company policies and legal aspects
Requirements
● No technical background or prior experience needed.
Description
Artificial Intelligence is transforming recruitment and HR – and those who know how to use it will have a major advantage.
In this course on AI in HR and Recruitment, you will learn how to use AI tools like ChatGPT and Microsoft Copilot in real recruitment and HR workflows, even if you are just getting started. Instead of focusing on theory, the course is built around 30+ practical AI use cases that you can apply immediately in your daily work – from sourcing candidates and writing outreach messages to screening CVs, preparing interviews and analysing the hiring market.
It is designed to give you everything you need to start using AI in recruitment and HR. The course is suitable both for beginners who have never used AI tools before, as well as for recruiters and HR professionals who already have access to tools like ChatGPT or Copilot and want to use them more effectively.
We begin with the fundamentals, where you will learn what artificial intelligence actually is, how it works and how to write clear and effective prompts.
From there, we move into real-world demonstrations of how AI can support your daily tasks. You will for example learn how to generate Boolean search strings, improve candidate communication, create job Descriptions, prepare focused interview questions, assess CVs and skills, conduct thorough market research and analyse hiring data.
Each concept is explained through practical examples where we write prompts together, review AI outputs and understand how to improve results. You will be guided through each use case so you can gather more ideas on how to apply AI in your work.
Although many examples in this course focus on hiring for technical roles such as software engineering or data-related positions, the same workflows and approaches can be applied to any industry or role. No technical background or prior experience is therefore needed to follow the course.
In addition, we also cover important topics such as data privacy, confidentiality, responsible AI usage and how to avoid bias in hiring processes, so you can use AI safely and in line with company policies. As part of the fundamentals, we will also briefly introduce the concept of AI agents, without going into advanced technical implementation.
Why choose this course
This course has been created by a Senior Tech Recruiter with real-world hiring experience. It focuses on practical & applicable knowledge, whereas each use case is explained clearly and in detail, so you can understand not only what to do, but also why it works.
As I firmly believe – AI will not replace recruiters and HR professionals – but those who learn how to use it effectively will have a significant advantage. Therefore, this course will help you integrate AI into your daily tasks and build a strong foundation for your future development in recruitment and HR.
Who this course is for
■ Recruiters and Talent Acquisition Specialists
■ HR professionals involved in hiring and recruitment processes
■ HR professionals working on headcount planning, hiring strategy and salary benchmarking
■ Tech recruiters and non-tech recruiters alike
■ Recruiters and HR professionals who already have access to ChatGPT or Copilot and want to use them more effectively
■ Recruiters and HR professionals who are new to AI and want to start using it in their hiring workflows
■ Professionals interested in applying AI in recruitment and hiring (e.g. hiring managers, founders or future recruiters)
Homepage
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https://www.udemy.com/course/ai-hr-recruitment

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Free Download AI for Everyone by Dr.Osama Codoc
Published 3/2026
Created by Dr.Osama Codoc
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 37m ) | Size: 1.13 GB

Master AI tools, prompt engineering, and real-world applications – no coding or technical experience required
What you’ll learn
✓ Understand what AI is, its types, and how it has evolved over time
✓ Navigate the changing job market in the AI era and position yourself effectively
✓ Write powerful and structured prompts to get the best results from AI tools
✓ Use a wide range of free AI tools for text, images, video, audio, research, and design
✓ Build confidence in working alongside AI as a collaborative tool in any field
Requirements
● No technical background or programming experience required
● Absolutely no prior AI experience needed – this course is built for complete beginners
Description
This course contains the use of artificial intelligence. The audio in this course is generated using an AI voice tool (ElevenLabs) to ensure clear pronunciation and accent consistency for all learners. Artificial Intelligence is no longer the future, it’s the present. And you don’t need to be a programmer, a data scientist, or a tech expert to use it. This course was designed for everyone.
In AI for Everyone, you will go on a complete journey starting from understanding what AI actually is, how it evolved, and what types exist today. From there, you will discover how AI is reshaping the job market and what that means for your career , whether you want to work in AI or simply work smarter with it.
You will then dive into one of the most valuable skills of our time ,prompt engineering. You will learn how to communicate with AI effectively, understand what makes a great prompt, and apply proven strategies to get powerful, accurate results every single time.
Finally, you will get hands-on with the most popular and powerful free AI tools available today. From writing and research to image generation, video creation, audio production, and design – you will walk away knowing exactly which tool to use and how to use it.
By the end of this course, AI will no longer feel overwhelming or complicated. It will feel like your most productive co-worker. Whether you are a student, a professional, a business owner, or simply a curious person – this course was made for you.
No experience needed. No installation required. Just bring your curiosity and let’s get started.
Who this course is for
■ Beginners who have never used AI tools before and want to start from scratch
■ Professionals looking to stay relevant and competitive in the AI era
■ Students and fresh graduates who want to add AI skills to their portfolio
■ Teachers and educators who want to integrate AI into their workflow
■ Business owners and entrepreneurs looking to save time and boost productivity
■ Creatives, marketers, and content creators who want to use AI in their daily work
■ Anyone curious about AI who wants a practical, no-nonsense guide to getting started
Homepage
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https://www.udemy.com/course/ai-for-everyone-z

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Free Download AI for Educators Mastering the Future of Teaching
Published 3/2026
Created by Oak Academy, OAK Academy Team, Ali̇ CAVDAR
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 162 Lectures ( 18h 9m ) | Size: 6.92 GB

Transform your classroom with ChatGPT, Gemini, and Claude. Automate lesson plans, quizzes, and academic research.
What you’ll learn
✓ What is Artificial Intelligence?
✓ Artificial Narrow Intelligence (ANI)
✓ Artificial General Intelligence (AGI)
✓ Artificial Super Intelligence (ASI)
✓ Subsets of Artificial Intelligence – Machine Learning
✓ Subsets of Artificial Intelligence – Deep Learning
✓ Machine Learning vs. Deep Learning
✓ Machine Learning Study with a Real Example
✓ Large Language Models(LLM)
✓ Natural Language Processing(NLP)
✓ A Warning Before Switching to ChatGPT
✓ Revolutionary of the Era: OpenAI
✓ The Revolution of the Age: Creating a ChatGPT Account
✓ Let’s Get to Know the ChatGPT Interface
✓ ChatGPT: Differences Between Versions
✓ Differences in the ChatGPT-4 Interface
✓ ChatGPT’s Endpoints
✓ ChatGPT’s Secret to More Accurate Answers
✓ Prompt Prompt Engineering Power
✓ Summary of Prompt Engineering Fundamentals
✓ Prompt Engineering: Sample Prompts
✓ Best Questions in Prompt Engineering
✓ Summary of the Best Questions in Prompt Engineering
✓ Reinforcing the topic through a scenario
✓ Drawing a Roadmap to the Prompt
✓ Directed Writing Request
✓ Clear Explanation Method
✓ Example-Based Learning
✓ RGC(Role, Goals, Context)
✓ Constrained Responses
✓ Adding Visual Appeal
✓ Prompt Updates
✓ ChatGPT-Google Extension
✓ Email Writing
✓ Summarizing YouTube Videos
✓ Talk to ChatGPT
✓ Quick Access to ChatGPT
✓ Dive Into Websites
✓ Get Prompt Assistance
✓ Using the ChatGPT API
✓ File Reading
✓ Visual Reading
✓ Visual Generation (DALL-E Introduction)
✓ Enhancing Images with DALL-E
✓ Improving Visuals Through Ready-Made Prompts
✓ Combining Images
✓ A Helper Site for Visual Prompts
✓ GPTs
✓ Create Your Own GPT
✓ Useful GPTs
✓ Big News: Introducing ChatGPT-4o
✓ How to Use ChatGPT-4o?
✓ Chronological Development of ChatGPT
✓ What Are the Capabilities of ChatGPT-4o?
✓ As an App: ChatGPT
✓ Voice Communication with ChatGPT-4o
✓ Instant Translation in 50+ Languages
✓ Interview Preparation with ChatGPT-4o
✓ Visual Commentary with ChatGPT-4o
✓ AI-Driven Pedagogy: Design dynamic lesson plans and interactive quizzes in seconds using ChatGPT and Claude to reclaim your teaching time.
✓ Research Mastery: Utilize DeepSeek for professional literature reviews, source analysis, and high-precision academic writing.
Requirements
● A working computer (Windows, Mac, or Linux)
● Motivation to learn the the second largest number of job postings relative AI among all others
● Desire to learn AI & ChatGPT
● Curiosity for Artificial Intelligence
● Nothing else! It’s just you, your computer and your ambition to get started today
Description
Welcome to "AI for Educators: Mastering the Future of Teaching" course.
Transform your classroom with ChatGPT, Gemini, and Claude. Automate lesson plans, quizzes, and academic research.
The role of the educator is evolving, and Artificial Intelligence is the key to managing this transformation. This course is a specialized guide designed to help teachers and instructors transition from traditional methods to AI-enhanced pedagogy. You will start with a deep understanding of AI concepts like LLMs and NLP, building a solid technical foundation before applying these tools directly to your teaching environment.
This is not just a theoretical overview; it is a practical toolkit for the modern classroom. You will master the world’s leading AI ecosystems-including ChatGPT-4o, Gemini 2.0, Claude 3.7, and DeepSeek-to automate the most time-consuming parts of your job. From generating structured lesson plans and high-quality quiz questions to creating engaging visual aids and simplifying complex texts, this course ensures you spend less time on administration and more time on teaching.
Beyond basic classroom tasks, we dive into the world of academic excellence. You will learn to use AI for professional literature reviews, source analysis, and academic paragraph rewriting, making it an essential resource for researchers and university instructors. By the end of this journey, you will have built a personalized AI assistant tailored to your specific teaching style and student needs.
What You Will Learn
• Foundations of Educational AI – Mastering AI, Machine Learning, and LLM concepts to understand the logic behind teaching tools.
• Advanced Prompt Engineering for Teachers – Using RGC frameworks and directed writing to generate accurate educational content.
• ChatGPT Mastery for Educators – Customizing ChatGPT-4o, o1, and o3 models for automated lesson planning and quiz generation.
• Visual & Interactive Learning – Creating engaging classroom visuals and multimedia content with Gemini and Sora.
• Academic Research & Literature Review – Utilizing DeepSeek and Claude for deep source analysis, comparison, and academic rewriting.
• Smart Search & Content Discovery – Using Gemini’s Deep Research and Google integration to find verified educational resources.
• Content Adaptation & Simplification – Leveraging Claude to simplify complex academic texts and design interactive discussion activities.
• Efficiency with AI Extensions – Mastering tools for email automation, YouTube summarization, and quick-access prompt assistance.
• Multi-Model Teaching Ecosystem – Learning when to use Grok, Copilot, or Claude to solve specific pedagogical challenges.
Features of This Course
• Pedagogy-First Approach: Tools are taught through the lens of student engagement and learning outcomes.
• Academic Integrity Focus: Deep-dive into source analysis and literature review using DeepSeek.
• Multi-Platform Mastery: Comprehensive training on 20+ AI tools specifically for instructors.
• Future-Ready Skills: Experience with the latest reasoning models like DeepSeek R1 and Claude 3.7.
Do I need any technical background? No. We start with the absolute basics of AI and guide you step-by-step through the setup and professional usage of each tool.
Will this help me with academic writing? Yes. Section 18 specifically covers academic paragraph rewriting, literature reviews, and source analysis using specialized models like DeepSeek.
Can I use these tools in K-12 and Higher Education? Absolutely. The strategies and prompts taught are adaptable for any educational level, from primary school to university instruction.
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, and a lot of different language on Udemy platform where it has over 3000 hours of video education lessons.
When you enroll, you will feel the OAK Academy`s seasoned developers’ expertise
Video and Audio Production Quality
All our content is created/produced as high-quality video/audio to provide you the best learning experience
You will be,
• Seeing clearly
• Hearing clearly
• Moving through the course without distractions
You’ll also get
• Lifetime Access to The Course
• Fast & Friendly Support in the Q&A section
• Udemy Certificate of Completion Ready for
We offer full support, answering any questions
Dive in now into the "AI for Educators: Mastering the Future of Teaching" course.
Transform your classroom with ChatGPT, Gemini, and Claude. Automate lesson plans, quizzes, and academic research.
Who this course is for
■ Anyone who wants to start learning AI & ChatGPT
■ Anyone who needs a complete guide on how to start and continue their career with AI & Prompt Engineering
■ And also, who want to learn how to develop Prompt Engineering
■ Teachers, instructors, and educators who want to integrate AI into lesson planning, assessments, and student engagement
Homepage
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https://www.udemy.com/course/ai-for-educators-mastering-the-future-of-teaching

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