Full stack generative and Agentic AI with python

About this course

Welcome to the Complete AI & LLM Engineering Bootcamp – your one-stop course to learn Python, Git, Docker, Pydantic, LLMs, Agents, RAG, LangChain, LangGraph, and Multi-Modal AI from the ground up.

This is not just another theory course. By the end, you will be able to code, deploy, and scale real-world AI applications that use the same techniques powering ChatGPT, Gemini, and Claude. What You’ll LearnFoundationsPython programming from scratch — syntax, data types, OOP, and advanced features.

Git & GitHub essentials — branching, merging, collaboration, and professional workflows.

Docker — containerization, images, volumes, and deploying applications like a pro.

Pydantic — type-safe, structured data handling for modern Python apps.

AI Fundamentals

What are LLMs and how GPT works under the hood.

Tokenization, embeddings, attention, and transformers explained simply.

Understanding multi-head attention, positional encodings, and the "Attention is All You Need" paper.

Prompt Engineering

Master prompting strategies: zero-shot, one-shot, few-shot, chain-of-thought, persona-based prompts.

Using Alpaca, ChatML, and LLaMA-2 formats.

Designing prompts for structured outputs with Pydantic.

Running & Using LLMsSetting up OpenAI & Gemini APIs with Python.

Running models locally with Ollama + Docker.

Using Hugging Face models and INSTRUCT-tuned models.

Connecting LLMs to FastAPI endpoints.

Agents & RAG Systems

Build your first AI Agent from scratch.

CLI-based coding agents with Claude.</

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