Generative AI Course: Beginner to Advanced

Lesson 1: Getting Started with AI – Part 1: The Core Concepts Behind Generative AI

This opening lesson explains what artificial intelligence actually means in simple terms. It covers the difference between AI, machine learning, and deep learning, gives real-world examples, and shows where generative AI fits in the broader AI landscape.

Play lesson

Lesson 2: Python Core Concepts for AI: Data Structures & Logic | AI Basic Part 2

Part 2 focuses on the Python core concepts needed for AI work. It covers fundamental data structures and logic, with an emphasis on how these building blocks are applied in AI and data tasks.

Play lesson

Lesson 3: Gen AI Basics Part 3: Machine Learning & Deep Learning Explained with Code Demo

Part 3 explains machine learning and deep learning, the engines behind generative AI. It walks through the difference between the two and shows how models learn from data, with a code demo.

Play lesson

Lesson 4: Gen AI Part 4 - Understanding Transformers, Self-Attention, and GPT vs. BERT

Part 4 breaks down the Transformer architecture that powers tools like ChatGPT. It covers self-attention, how models focus on words to grasp context, and the differences between GPT and BERT.

Play lesson

Lesson 5: Gen AI ( Advance - Part 5) Understanding Large Language Models with Hugging Face Transformers

Part 5 dives into large language models using the Hugging Face Transformers library. It covers core LLM concepts and includes hands-on demos for working with these models.

Play lesson

Lesson 6: Gen AI Learning Part 6 - Image Generation Models (GANs, Stable Diffusion & Multimodal Explained)

Part 6 covers image generation models, including GANs, VAEs, and Stable Diffusion. It explains the technologies behind AI art tools like Midjourney and DALL-E and how multimodal models work.

Play lesson

Lesson 7: Building LLM Application Part 1- Prompt Engineering

This lesson is a guide to prompt engineering for large language models. It includes practical Python code demos using the Groq Cloud Inference platform and covers the fundamentals of effective prompting.

Play lesson

Lesson 8: Gen AI Part 8 - MASTERING RAGs: Build Production-Ready LLM Applications from Scratch

Part 8 is a deep dive into building production-ready RAG applications. The first part covers LangChain components like chains, prompts, and agents, then the lesson breaks down the full RAG pipeline step by step.

Play lesson

Lesson 9: Gen AI Part 9 - Introduction to Agentic AI (Create Autonomous Agents)

Part 9 introduces agentic AI, where autonomous systems use LLMs to perceive their environment, reason about goals, and take actions. It covers the evolution of the field and frameworks for building autonomous agents.

Play lesson

Lesson 10: Gen AI Tutorial - Part 10 : AutoGen - How Multi-Agent AI Really Works

Part 10 covers AutoGen, a framework for building multi-agent AI systems. It explains how agents reason and collaborate, why multi-agent AI matters, and how to start building intelligent agent workflows.

Play lesson