Source
https://www.udemy.com/course/full-stack-ai-with-python
Category
File Size
24.6 GB
Publisher
Hitesh Choudhary
Updated
August 31, 2025
Description
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.
Preview
1 image Download Files
Part 11000.0 MBPart 21000.0 MBPart 31000.0 MBPart 41000.0 MBPart 51000.0 MBPart 61000.0 MBPart 71000.0 MBPart 81000.0 MBPart 91000.0 MBPart 101000.0 MBPart 111000.0 MBPart 121000.0 MBPart 131000.0 MBPart 141000.0 MBPart 151000.0 MBPart 161000.0 MBPart 171000.0 MBPart 181000.0 MBPart 191000.0 MBPart 201000.0 MBPart 211000.0 MBPart 221000.0 MBPart 231000.0 MBPart 241000.0 MBPart 25656.7 MB





