Udemy
Basic RAG with LangChain and LangGraph - Ollama
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
2026 Upgrade: Course completely re-recorded with LangChain v1 and LangGraph v1.
All projects, agents, tools, and RAG pipelines rebuilt from scratch.
Perfect for developers, AI engineers, and serious learners who want production-grade GenAI skills.
This course is a comprehensive, practical guide to integrating Langchain v1 (latest release) and Ollama to build, automate, and deploy production-ready AI applications. Updated with the newest technologies and frameworks, you'll learn to set up these cutting-edge tools, create advanced prompt templates, build autonomous AI agents, implement RAG (Retrieval-Augmented Generation) systems, and deploy real-world applications on AWS. Each section is designed to provide you with hands-on skills and real-world experience with the latest AI development practices.
What You Will Learn1. Ollama & Langchain SetupComplete installation and configuration of Ollama and Langchain
Work with the latest models: GPT-OSS, Gemma3, Qwen3, DeepSeek R1, and LLAMA 3.2Master Ollama commands, custom model creation, and raw API integration
Configure local LLM environments for optimal performance2. Advanced Prompt Engineering
Design effective AI, human, and system message prompts
Placeholder for dynamic conversations
Master the invoke method and structured prompt patterns
Implement best practices for prompt tuning and optimization3. LCEL Chains for Workflow Automation
Build Sequential, Parallel, and Router Chains with Langchain Expression Language (LCEL)Create custom chains using Runnable
Implement chain decorators for simplified workflow automation
Design conditio
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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