Title: Agentic AI: LangChain and LangGraph
Location: US
Company: IBM
About this course:
This course provides a hands-on introduction to building agentic AI systems with LangChain and LangGraph, teaching you how to create dynamic workflows powered by memory, iteration, reflection, and orchestration. You’ll begin by learning how LangGraph structures agents through nodes and control edges, enabling stateful behavior and complex logic flows.
You’ll explore self-improving agent architectures—including Reflection, Reflexion, and ReAct—to design workflows where agents assess their own reasoning, revise earlier steps, and improve output quality. Guided labs help you construct agents that apply feedback loops, refine their reasoning, and enhance performance using structured evaluation techniques.
You’ll move into multi-agent design, learning how specialized agents collaborate through orchestration patterns, governance strategies, and clear task routing. You’ll build an agentic RAG system that retrieves context, coordinates multiple reasoning paths, and routes user queries intelligently across agents.
By completing this course, you’ll gain the skills to architect robust, adaptive agent systems capable of solving complex tasks through reasoning, collaboration, and retrieval.
Explain how agentic frameworks support modular and scalable AI system design
Apply LangGraph workflow patterns such as sequential flows, routing, and parallelization
Construct multi-agent applications using CrewAI with tasks, structured outputs, and tool integrations
Create agents and workflows with BeeAI and design multi-agent conversations using AG2
Implement orchestration strategies that coordinate multiple agents to solve complex tasks
Select appropriate frameworks and design patterns to optimize performance and maintainability in AI projects
Master LangGraph and agentic AI by creating self-improving agents, multi-agent workflows, and retrieval-aware systems that reason, collaborate, and adapt using Reflection, ReAct, and agentic RAG.
Duration: 2 weeks
Curriculum:
- Module 1: Introduction to LangGraph
- Module 2: Build Self-Improving Agents with LangGraph
- Module 3: Multi-Agent Systems and Agentic RAG with LangGraph
Show interest and get access to the course
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NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
NO EXPERIENCE REQUIRED – PAID TRAINING PROVIDED – JOB SECURITY The Postal Service is the largest go...
