Free course · Python

Generative AI from Zero to Hero

Learn how AI really works, then build chatbots, RAG apps and AI agents. Easy explanations, pictures, graphs and real code.

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36lessons
8weeks
4projects
₹0always free

The roadmap

Week 1Foundations

  1. 1What Gen AI is: AI vs ML vs DL vs Gen AILive
  2. 2How LLMs work: tokens, embeddings, next-token predictionComing soon
  3. 3Transformers and attention, explained simplyComing soon
  4. 4Model landscape: closed, open, reasoning and multimodalComing soon
  5. 5Context windows, temperature, cost and latencyComing soon

Week 2Prompt engineering

  1. 6Prompt anatomy: role, instructions, context, examples, formatComing soon
  2. 7Zero-shot, few-shot and chain-of-thought promptingComing soon
  3. 8Structured outputs and system promptsComing soon
  4. 9Hallucination, prompt injection and how to reduce themComing soon

Week 3Building with LLM APIs

  1. 10Setup: Python, API keys, environment variablesComing soon
  2. 11Your first API call: messages, parameters, streamingComing soon
  3. 12Conversation memory and managing contextComing soon
  4. 13Tool use and function callingComing soon
  5. 14Project: AI chatbot with a simple web UIComing soon

Week 4Embeddings and vector search

  1. 15Embeddings: meaning as numbersComing soon
  2. 16Vector databases overviewComing soon
  3. 17Chunking strategies for documentsComing soon

Week 5RAG

  1. 18RAG architecture end to endComing soon
  2. 19Building a RAG pipeline step by stepComing soon
  3. 20Improving RAG: hybrid search, reranking, citationsComing soon
  4. 21Project: chat with your PDFsComing soon

Week 6AI agents

  1. 22What agents are: plan, act, observeComing soon
  2. 23Building an agent from scratchComing soon
  3. 24Frameworks: LangChain, LangGraph and when to skip themComing soon
  4. 25MCP: connecting agents to toolsComing soon
  5. 26Project: research or task-automation agentComing soon

Week 7Open models and fine-tuning

  1. 27Running models locallyComing soon
  2. 28When to fine-tune, prompt or use RAGComing soon
  3. 29Fine-tuning basics with LoRAComing soon
  4. 30Multimodal: image, audio and vision modelsComing soon

Week 8Production and career

  1. 31Evaluating LLM appsComing soon
  2. 32Deployment: FastAPI, Docker, cloudComing soon
  3. 33Cost, caching, rate limits, monitoringComing soon
  4. 34Safety, guardrails and responsible AIComing soon
  5. 35Final project: full-stack AI appComing soon
  6. 36Gen AI career roadmap and interview prepComing soon