Agentic AI with LangChain and LangGraph by IBM is a hands-on intermediate course that teaches you to build intelligent AI agents that can reason, improve, and collaborate autonomously. With nearly 19,000 learners enrolled since its January 2026 launch, this course is quickly becoming the go-to for developers entering the agentic AI space.

What You Will Learn

Build AI agents using LangChain — the most popular framework for LLM application development
Design stateful, multi-step workflows with LangGraph for complex automation tasks
Implement memory systems so your agents can remember context across interactions
Create tool-using agents that can browse the web, query databases, and call APIs
Build multi-agent systems where AI agents collaborate to solve complex problems
Apply retrieval-augmented generation (RAG) to give agents access to custom knowledge bases

Why This Course Matters

Agentic AI is the hottest segment of the AI industry in 2026. Companies are desperate for developers who can build autonomous AI systems that go beyond simple chatbots. This course, backed by IBM's AI research team, teaches the exact frameworks (LangChain + LangGraph) that startups and enterprises are using in production. The skills translate directly to freelance AI agent building, which commands $150-300/hour rates.

Prerequisites

Intermediate Python programming and basic familiarity with large language models. If you have completed any introductory LLM or ChatGPT course, you are ready for this.

Career Outcomes

AI Agent Developer, AI Automation Engineer, LLM Application Developer, AI Solutions Architect. Average salaries for agentic AI roles range from $130,000-$200,000+ in the U.S. market. Freelance AI agent builders report earning $5,000-$20,000 per project.

Format & Pricing

Online, self-paced. Approximately 10 hours (completable in 1 week). Intermediate level. Coursera subscription at $49/month or audit free. Shareable IBM certificate upon completion.

Agentic ai with langchain and langgraph by ibm (coursera)

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