Udemy
Basic RAG with LangChain and LangGraph - Ollama
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Brand New 2026 Version
This course has been re-designed, re-recorded, and rebuilt from the ground up to support
LangChain v1+, LangGraph v1+, latest frameworks, and modern agentic workflows.
Master LangGraph v1 and Ollama – Build Gen AI Agents is a complete and beginner-friendly course for anyone who wants to build real AI agents using LangGraph, LangChain, Ollama, and open source LLMs like GPT-OSS, Qwen3 and Gemma3.
This course starts from the basics. You will understand every concept step by step and build fully working AI agent systems with real tools, memory, routing, and database integration.
By the end of the course, you will be able to build production-ready AI agents that can search the web, call tools, interact with databases, store memories, follow human approval steps, and solve real-world tasks.
Every lecture includes a live demo and a working example to help you learn through hands-on experience.
What You Will LearnOllama and Open Source LLMsInstall and set up Ollama with the latest LangChain v1 updates
Work with models like Qwen3 and Gemma3Test context handling and realtime search settings
Do quick document analysis
Inspect and benchmark models
Understand how to select the right model for a project
Use all important Ollama commands
Create custom Ollama models
Use Ollama message commands
Make raw API requests
Load uncensored GGUF models for educational research
LangChain v1 FundamentalsSet up LangSmith for debugging and tracing
Understand open source tracing tools like LangFuse and Opik
Use ChatOllama with Gemma3Produce responses and trace them in LangSmithReuse pro
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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