Description
Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph is a course on how to build end-to-end AI applications using modern large language model technologies published by Udemy Online Academy. This is an advanced course designed to teach you how to build end-to-end AI applications using modern large language model technologies. The course covers the fundamentals of working with LLMs, Retrieval Additive Manufacturing (RAG), intelligent agent design, and LangGraph to build complex workflows and orchestration. By combining theory with practical coding, this course equips individuals to design, implement, and deploy scalable AI systems that can reason, retrieve information, and intelligently interact with real-world data and applications.
This course combines theory, coding, and deployment in one place. You’ll start with the basics of Python and Git, and end up coding advanced AI applications with LangChain, LangGraph, Ollama, Hugging Face, and more. Unlike other courses, this one doesn’t end with “calling APIs.” You’ll delve deeper into system design, queues, scaling, memory, and graph-based AI agents—everything you need to stand out as an AI engineer.
What you will learn in Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph:
- Write Python programs from scratch, using Git for version control and Docker for deployment.
- Use Pydantic to manage structured data and validation in Python programs.
- Understand how Large Language Models (LLM) work: tokenization, embeddings, attention, and converters.
- Call and integrate OpenAI and Gemini APIs with Python.
- Design effective instructions: zero-shot, one-shot, multi-shot, chain of thought, personality-based, and structured instructions.
- Run and deploy models locally using Ollama, Hugging Face, and Docker.
- Implement Retrieval-Augmented (RAG) pipelines with LangChain and vector databases.
- Use LangGraph to design stateful AI systems with nodes, edges, and checkpoints.
- Understand the Model Context Protocol (MCP) and build MCP servers with Python.
- And…
Course specifications
- Publisher : Udemy
- Teacher : Hitesh Choudhary , Piyush Garg
- Language: English
- Level : All Levels
- Lectures : 256
- Duration : 32 hours and 33 minutes
Course topics
Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Prerequisites
No prior AI knowledge is required — we start from the basics.
A computer (Windows, macOS, or Linux) with internet access.
Basic programming knowledge is helpful but not mandatory (the course covers Python from scratch).
Pictures
Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph introduction video
Installation guide
After Extract, watch with your favorite Player.
subtitle: English
Quality: 720p
The 2025/12 version has increased the number of lessons by 5 and the duration increased by 25 minutes compared to 2025/8.
Download link
Downloadly
Rapidgator
File password (s): www.downloadly.ir
Size
24.65 GB
