Description
Complete Agentic AI Bootcamp With LangGraph and Langchain is a hands-on program focused on teaching learners how to build advanced, autonomous AI agents using two powerful frameworks—LangGraph and LangChain. The course introduces the core principles of agentic AI, including how agents think, plan, and act in dynamic environments. You’ll explore essential components such as memory, tools, and decision-making systems, and learn how they work together to power modern intelligent agents.
As the course progresses, you will build practical agent workflows using LangGraph’s event-driven and state-based architecture, and combine it with LangChain’s tools to create scalable, production-ready AI systems. By the end, you’ll be able to design, build, and deploy multi-agent applications capable of performing complex tasks such as research, retrieval, automation, and problem-solving in real-world scenarios.
Key Learning Outcomes
- Understand the core concepts behind agent-oriented AI and autonomous systems
- Build AI agents with LangGraph, including workflow graphs, memory, and state management
- Create multi-agent systems that collaborate and reason through complex tasks
- Deploy practical agent-based applications for research automation, retrieval, task workflows, and more
- Combine LangGraph with LangChain to build scalable real-world AI solutions
Target Audience
- Developers and engineers learning agentic AI
- AI enthusiasts building autonomous systems
- Learners wanting hands-on experience with LangGraph and LangChain
- Anyone interested in building intelligent automation tools
Course Specifications
Publisher: Udemy
Teacher: KRISHAI Technologies Private Limited, Krish Naik
Language: English
Level: All Levels
Lectures: 152
Duration: 36 hours and 3 minutes
Prerequisites
- Basic Python programming
- Basic understanding of APIs & REST
- Familiarity with LLM concepts
- Curiosity to build real agent-based applications
File Size: 34.79 GB