Library / Artificial Intelligence

Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents

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About this course

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

Use ChatPromptTemplate and Messages

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

Lambda and RunnablePassthrough

Implement chain decorators for simplified workflow automation

Design conditio

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