Complete Agentic AI Bootcamp With LangGraph and Langchain
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DevelopmentGenerative AI (GenAI)

Complete Agentic AI Bootcamp With LangGraph and Langchain

4.6
(33,236 students)
36h

>_ What You'll Learn

  • Understand the core principles of Agentic AI and how to design intelligent, autonomous agents for real-world tasks.
  • Master building AI agents using LangGraph, including creating workflows, managing agent state, memory, and event-driven behavior.
  • Develop and deploy multi-agent collaborative systems that can communicate, reason, and solve complex problems together.
  • mplement hands-on projects to create powerful agentic applications like autonomous research agents, task automation systems, and knowledge retrieval assistants.

>_ Requirements

  • Basic knowledge of Python programming (variables, functions, classes).
  • Understanding of APIs and RESTful services (basic level).
  • Familiarity with Large Language Models (LLMs) concepts (like OpenAI, Hugging Face models, etc.).
  • Curiosity and willingness to build real-world AI applications — no prior experience with LangGraph needed!

/ Course Details & Curriculum

Are you excited about the future of AI where intelligent agents can think, act, and collaborate to solve complex tasks autonomously? Welcome to the **Complete Agentic AI Bootcamp with LangGraph and LangChain** — your one-stop course to master the art of building agentic AI applications from scratch! This course is designed to teach you everything you need to know about **Agentic AI, LangGraph, and LangChain** — two of the most powerful frameworks for building intelligent AI agents and multi-agent systems. You will start by understanding the fundamentals of *Agentic AI* — how it differs from traditional AI models, the key components of agents (memory, tools, decision-making), and real-world use cases. We will then dive deep into LangGraph, a cutting-edge framework that helps you design complex agent workflows using graphs, events, and state transitions. You’ll also learn how to combine LangChain's power with LangGraph to build production-ready agent applications. Throughout the course, you will build real-world projects step-by-step, including: - Creating single intelligent agents with memory and tool-usage capabilities. - Designing multi-agent collaboration systems with message passing and shared goals. - Implementing autonomous research assistants, task automation bots, and retrieval-augmented generation (RAG) agents. You will not just learn theory — you will build and deploy multiple end-to-end agentic applications, gaining real-world experience in constructing powerful AI systems. By the end of this course, you will have the skills and confidence to create your own *AI agents* and deploy complex agentic applications for various domains like search, research, task planning, customer support, and beyond.

Author and Instructor

K

KRISHAI Technologies Private Limited, Krish Naik

Expert at Udemy

With years of hands-on experience in Development, KRISHAI Technologies Private Limited, Krish Naik has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.

Community Feedback

M

Michael Chen

Verified Enrollment

"This Complete Agentic AI Bootcamp With LangGraph and Langchain course was exactly what I needed. The instructor explains complex Development concepts clearly. Highly recommended!"

S

Sarah Johnson

Verified Enrollment

"I've taken many Udemy courses on Development, but this one stands out. The practical examples helped me land a job."

D

David Smith

Verified Enrollment

"Great value for money. The section on Generative AI (GenAI) was particularly helpful."

E

Emily Davis

Verified Enrollment

"Excellent structure and pacing. I went from zero to hero in Development thanks to this course. Lifetime access is a huge plus."

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