Udemy – Full-Stack AI With Python: LLMs, RAG, Agents & LangGraph

File Name:	Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph
Content Source:	https://www.udemy.com/course/full-stack-ai-with-python
Genre / Category:	Programming
File Size :	24.6 GB
Publisher:	Hitesh Choudhary
Updated and Published:	August 31, 2025

Product Details

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 Learn

Foundations

Python 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 LLMs

Setting 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.

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Udemy – Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph

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