Introduction to AI-GenAI

Master AI - Generative AI fundamentals, prompt engineering, real-world use cases and ethics — no coding needed.

Created bySajjan Kumar

Last updated 3/2026

English

What you'll learn

Explain Artificial Intelligence and Generative AI using simple, real-world examples
Understand the relationship between AI, Machine Learning, Deep Learning, and LLMs
Write clear and effective prompts to get better results from AI tools
Apply Generative AI tools to real-world business and everyday use cases
Identify limitations, risks, and myths around AI usage
Roadmap for continuous learning

Course content

6 sections • 52 lectures • 2h 31m total length

Introduction0:50
In this short introduction, you’ll learn what this course covers, how it’s structured, and how it will help you build practical AI understanding—without requiring a technical background.
What is AI?1:33
Artificial Intelligence explained in simple, non-technical terms using everyday examples like recommendations, voice assistants, and spam filters—no jargon required.
AI vs ML vs Deep Learning3:23
Understand the relationship between Artificial Intelligence, Machine Learning, and Deep Learning through clear explanations and intuitive analogies.
Narrow AI, General AI, Superintelligence1:54
Explore the AI spectrum—from today’s task-specific AI systems to future concepts like General AI and Superintelligence, and what they really mean.
Generative AI: From ChatGPT to MidJourney1:44
Learn how Generative AI creates new content like text and images, and why tools like ChatGPT and MidJourney are changing the way we work and create
Busting Myths: AI is not magic1:37
Separate hype from reality by understanding what AI can and cannot do, including its limitations, biases, and the importance of human oversight.
Wrap-Up: Key Takeaways1:12
Let’s recap the core ideas from Module 1—what AI is, how it differs from ML and Deep Learning, the AI spectrum, and common myths—so you’re ready to confidently move into the next module.
AI & Generative AI Foundations

Introduction: The Building Blocks of AI0:55
Get a high-level overview of the core technologies that power modern AI, including Machine Learning, NLP, Computer Vision, and Large Language Models.
Machine Learning: How machines learn from data1:29
Learn how machines learn from data, identify patterns, and improve over time—forming the foundation of most AI systems you use today.
Supervised, Unsupervised & Reinforcement Learning4:02
Understand the three main types of machine learning, how they differ, and where each approach is used in real-world applications.
Natural Languages Processing2:14
Discover how AI understands and works with human language—from text and speech to chatbots, search engines, and voice assistants.
NLP Techniques - Overview4:02
Explore key NLP techniques like text preprocessing, classification, sentiment analysis, and named entity recognition used in real AI systems.
Computer Vision: How AI Sees Image1:52
Explore how computers “see” and interpret images using Computer Vision—powering applications like face recognition, self-driving cars, and medical imaging.
Large Language Model (LLM): Brain of GPTs1:41
Discover how Large Language Models work, how they understand and generate human-like text, and why they are transforming industries worldwide.
Module 2: Wrap-Up1:21
In this module wrap-up, we consolidate key concepts from Machine Learning types, Computer Vision, and Large Language Models—connecting them into a clear AI foundation.

Prompt Engineering for AI: Module Overview & Learning Roadmap1:31
In this module, you’ll learn how to think, structure, and refine prompts to get accurate, high-quality responses from AI tools across text, image, and code generation.
What is a Prompt?1:54
Discover what a prompt really is and what can be a prompt.
Crafting Effective Prompts1:40
Learn the three pillars of strong prompting and how small improvements in clarity and context can dramatically improve AI responses
Simple Prompting Strategies3:05
Understand practical prompting techniques like assigning roles and using structured formats to guide AI toward more precise and useful results.
Iterative Prompting1:56
Understand how to improve AI outputs through progressive refinement instead of expecting perfect results in a single prompt.
Iterative Prompting – Practical Example4:30
Watch how an initial prompt evolves through multiple refinements to produce a significantly better and more accurate outcome.
Good vs Bad AI Prompts: Common Mistakes & Best Practices1:39
Compare weak and well-structured prompts to clearly see how wording, specificity, and structure affect AI performance.
Prompting Across Different AI Tools: What Changes?0:48
Explore how prompting differs across text models, image generators, and code assistants—and how to adapt your approach accordingly.
Live Demo: Prompting in ChatGPT & Gemini's Nano Banana3:24
See real-time prompting examples in conversational AI and image generation tools to understand practical differences.
Live Demo: Prompting for Code3:09
Learn how to structure prompts for coding tasks, debugging, and optimization to get more reliable and production-ready outputs.
Module 3 Wrap-Up: Becoming Effective at Prompt Engineering2:26
We summarize key prompting principles and strategies so you can confidently communicate with AI tools across multiple domains.

Introduction1:19
Get an overview of real-world AI use cases across industries. Understand how Artificial Intelligence and Generative AI are transforming everyday work and business processes.
AI in Software Development Lifecycle1:43
Explore how AI tools and Generative AI are transforming the Software Development Lifecycle (SDLC)—from coding and testing to deployment and maintenance
AI in Software Development Lifecycle - Example6:05
Learn through an example of how AI integrates into real-world software development workflows. Discover how teams use AI tools to improve productivity and efficiency.
AI in Business5:45
Understand how companies use AI for business automation, customer service, and decision-making. Explore real-world AI use cases in finance, retail, and operations
AI in Everyday Life4:55
Discover how AI impacts daily life—from Google Search and recommendations to healthcare and e-commerce. Learn how Generative AI powers everyday tools.
AI for Non-Technical Roles3:27
Learn how non-technical professionals can use AI tools without coding. Explore no-code AI, automation tools, and productivity use cases for business roles.
Non-Technical Benefits of AI3:09
Understand how AI improves productivity, collaboration, and decision-making. Discover practical AI tools for marketing, HR, sales, and operations.
AI Implementation Guidance7:12
Follow a step-by-step guide to start using AI in your work. Learn how to identify use cases, apply Generative AI tools, and scale your AI adoption safely.
Module 4 Wrap-Up: Real-World AI Use Cases & Key Takeaways1:29
Recap key AI use cases, tools, and real-world applications covered in this module. Reinforce your understanding of how to apply AI effectively in work and daily life.

Introduction to AI Ethics & Responsible AI1:29
Get an overview of AI ethics, bias, and responsible AI usage. Understand why ethical considerations are critical in the age of Artificial Intelligence and Generative AI.
What is AI Bias? Understanding Risks in AI Systems7:29
Learn how AI bias occurs in machine learning models and how it can lead to unfair outcomes. Explore real-world examples of bias in AI systems.
Building Fair & Accountable AI6:58
Understand the importance of fairness in AI and how to reduce bias in decision-making systems. Learn best practices for creating inclusive AI solutions.
Ethical Concerns in AI: Bias, Fairness, and Accountability2:48
Explore key AI ethics principles such as transparency, accountability, and privacy. Learn how organizations ensure trustworthy AI systems.
How AI is Reshaping Jobs and the Future of Work3:51
Discover how AI is transforming job roles across industries. Learn how professionals can adapt to the AI-driven future of work.
Responsible AI Usage in the Workplace6:53
Learn how to use AI tools responsibly and ethically. Understand data privacy, security, and safe usage of Generative AI applications.
Human-AI Collaboration: Working Alongside Intelligent Systems4:02
Explore how humans and AI can work together effectively. Learn how AI enhances productivity while humans provide judgment and creativity.
Preparing for an AI-Enhanced Future: Skills & Mindset4:26
Understand the skills needed to thrive in an AI-powered world. Learn how to stay relevant with continuous learning and AI adoption strategies.
Module 5 Wrap-Up: AI Ethics, Responsibility & Future Readiness2:53
Recap key concepts like AI ethics, bias, and responsible AI usage. Reinforce how to apply these principles in real-world scenarios.

Introduction: Your Next Steps in AI2:16
Welcome to the final module of the course. Learn how to continue your AI learning journey, stay updated, and apply your knowledge beyond this course.
Essential AI Resources: Stay Updated with Trends & Tools4:36
Discover the best AI learning resources, newsletters, communities, and platforms to stay current with Artificial Intelligence and Generative AI trends.
AI Career Opportunities: Roles Beyond Coding2:55
Explore different AI career paths, including non-technical roles. Understand how AI is shaping jobs across industries and where you can fit in.
Complementary Skills for AI Success2:57
Learn the key skills that enhance your AI journey, including domain knowledge, critical thinking, and communication skills for real-world impact.
Personal AI Learning Roadmap: Step-by-Step Growth Plan2:18
Follow a structured roadmap to learn AI effectively over time. Discover how to consolidate, specialize, and grow in your AI journey.
Responsible AI: Ethics, Bias & Best Practices Reminder1:43
Understand the importance of AI ethics, data privacy, and bias awareness. Learn how to use AI responsibly in real-world scenarios.
Your Role in the AI Landscape: Where Do You Fit?1:22
Identify how you can contribute in an AI-driven world. Learn how individuals from any background can leverage AI for growth and impact.
Course Wrap-Up: Key Takeaways & Your AI Journey Ahead1:12
Recap the key learnings from the course and take your next steps with confidence. Begin applying AI tools and concepts in real life.

Requirements

No prior AI, programming, or technical experience required
Basic computer and internet usage skills
Curiosity to learn how AI works and how to use it effectively

Description

Are you curious about AI but feel left behind by all the jargon? This course was built for you — no coding, no math, no prior tech experience needed.

Artificial Intelligence and Generative AI are reshaping every industry — from healthcare and finance to marketing and education. Whether you're a professional looking to stay relevant, a student exploring new skills, or simply someone who wants to understand the technology everyone is talking about, this course gives you a clear, confident foundation.

What you'll learn:

What AI and Generative AI actually are — explained in plain language
The key building blocks: Machine Learning, NLP, Large Language Models, and more
How to interact with AI tools using effective prompt engineering techniques
Real-world applications of AI across industries and everyday life
The human side of AI — ethics, bias, and what it means for the future of work
How to stay current as AI evolves rapidly and what your next steps should be

This isn't a theoretical deep-dive. Every module is designed to be practical, relatable, and immediately applicable. You'll walk away with the vocabulary, mental models, and confidence to use AI tools in your daily work and life.

By the end of this course, you won't just understand AI — you'll know how to work with it, evaluate it critically, and keep learning as the field evolves.

Join thousands of non-technical learners who are embracing AI — not fearing it.

Who this course is for:

Students and fresh graduates curious about AI
Working professionals wanting AI literacy
Business, marketing, HR, operations, and non-technical roles
Anyone who uses AI tools but wants to understand them better

Introduction to AI-GenAI

What you'll learn

Explore related topics

Course content

Foundations: What is AI & Generative AI ?7 lectures • 12min

Building Blocks of AI8 lectures • 18min

Prompt Engineering — The Art of Communicating with AI11 lectures • 26min

Module 4: Practical Applications & Use Cases9 lectures • 35min

Ethics, Responsibility & Future of AI9 lectures • 41min

Staying Current & Next Steps in AI8 lectures • 19min

Requirements

Description

Who this course is for: