LangGraph 201

Build a production-ready multi-agent system using LangGraph with state graphs, supervisors, and sub-agents. Understand how AI agents manage state, short-term memory, long-term memory, and human-in-the-loop workflows. Deploy your agent as an interactive Streamlit chat app with a hands-on final project.

  • Understand how AI agents manage state, short-term memory, long-term memory, and human-in-the-loop workflows.
  • Deploy your agent as an interactive Streamlit chat app with a hands-on final project.

Prabhakaran SPrincipal Data Scientist

Join All-AccessWatch 3 free lessons

Included in All-Access, one membership for every course.

Lessons
13, in 2 chapters
Video
1 h 40 min
Free to watch
3 lessons
Certificate
On completion

What you'll be able to do

  • LangGraph Fundamentals and Workflows
  • Designing Stateful Agent Graphs
  • Managing Short and Long Term Memory
  • Building Task Specific Sub Agents
  • Supervisor Agent Orchestration
  • Human in the Loop Integrations
  • Streamlit based Chat App Deployment
  • End to End Hands on Project

Course content

2 chapters · 13 lessons · 1 h 40 min · 3 free to preview

  1. 01Introduction11 lessons · 1 h 19 min
    1. What we are going to buildPreview3:09
    2. Download Resources1:00
    3. DemoPreview3:53
    4. Setup8:20
    5. Memory and State7:53
    6. Product Catalog Assistant9:59
    7. Build the Stategraph5:40
    8. Building Invoice Assistance Subagent6:56
    9. Build the Supervisor5:03
    10. Human in the Loop22:41
    11. Long Term Memory4:31
  2. 02Streamlit Chat App2 lessons · 22 min
    1. App Components DemoPreview2:57
    2. Building the App and Final Assignment19:21

What you need

  • Basics of Python
  • Foundational knowledge of Data Science
  • High school maths

Who this course is for

  • Data Science Aspirants
  • Data Science Professionals
  • Software/Data engineers interested in quantitative analysis
  • Professionals working with large datasets
  • Data analysts, economists, researchers

Your instructor

Prabhakaran S

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

from 3,965 ratings
4.92
learners
57K+
courses
85

Questions

How do I get this course?

It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.

Can I get a refund?

Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.

Can I learn on my phone?

Yes. Lessons play in the browser on any phone, tablet or computer, and your place is saved for the next device.

I am already a member. Where are my courses?

On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.

More in Generative AI Specialization

See the whole specialization
Retrieval Augmented Generation (RAG) TechniquesLearn how Retrieval-Augmented Generation (RAG) combines real-time data retrieval with generative AI to deliver accurate, up-to-date responses. Master the end-to-end RAG pipeline, from vector databases and embedding models to fine-tuning LLMs for context-aware generation. Get hands-on with industry tools to build powerful RAG applications for search, chatbots.17 lessons3 h 6 minCertificateIn All-AccessView courseProductionizing RAG SystemMaster end-to-end RAG system building, from data preparation and chunking strategies to retrieval optimization using AWS Bedrock Knowledge Base and S3. Explore and compare multiple retrieval strategies, evaluate performance across approaches, and build advanced multi-strategy RAG pipelines. Deploy a production-ready RAG chatbot to AWS using ECR and ECS Fargate for scalable, real-world applications.29 lessons1 h 36 minCertificateIn All-AccessView courseBuilding Agentic RAGLearn agentic RAG concepts and build custom tools that let LLMs autonomously retrieve and reason over knowledge. Master the ReAct framework to create agents and chatbots that iteratively plan, retrieve, and refine answers. Design stateful, graph-based agent workflows using LangGraph for production-ready agentic systems.19 lessons44 minCertificateIn All-AccessView course
Contact us