Description

Complete Agentic AI Bootcamp with LangGraph & LangChain (2025 Edition)

Master Autonomous AI Agents, Multi-Agent Systems & Real-World AI App Development

Requirements

• Basic knowledge of Python (variables, functions, classes).

• Understanding of APIs and RESTful services at a beginner level.

• Familiarity with Large Language Models (LLMs) such as OpenAI or Hugging Face.

• Curiosity and willingness to build real-world AI applications (no LangGraph experience required).

---

Course Description

Unlock the power of next-generation AI with the Complete Agentic AI Bootcamp using LangGraph and LangChain — a comprehensive, step-by-step program designed to help you build intelligent, autonomous agents from the ground up.

This course takes you deep into the world of Agentic AI, an emerging paradigm where AI systems can think, reason, take actions, collaborate, and solve complex tasks with minimal human intervention.
Whether you’re a beginner or an experienced developer, this bootcamp will equip you with the skills to build real, production-ready agentic applications.

What This Course Covers

You’ll begin with the core foundations of Agentic AI:

• How intelligent agents differ from traditional AI models

• Key components of modern AI agents (memory, tools, reasoning, decision-making)

• Real-world use cases across automation, research, customer service, and task planning

Then you’ll dive into LangGraph, a cutting-edge framework for designing event-driven, graph-based agent workflows. You will also learn how to integrate LangChain to extend your AI agent’s reasoning, memory, and tool-usage capabilities.

---

Hands-On Projects You Will Build

Throughout this bootcamp, you’ll create multiple end-to-end AI applications, including:

✅ Single Intelligent Agents

• Agents with persistent memory

• Tools-enabled agents that execute tasks autonomously

✅ Advanced Multi-Agent Systems

• Agents that communicate using message-passing

• Collaborative agents with shared objectives

• Task-planning and delegation AI systems

✅ Real-World AI Apps

• Autonomous research assistants

• AI task automation bots

• Retrieval-Augmented Generation (RAG) systems

• Production-grade agent workflows for search, analysis & decision support

You won’t just learn the theory — you’ll build and deploy real AI systems that mirror how companies create next-generation AI products.

---

What You Will Learn

By the end of this course, you will master:

🔥 Agentic AI Fundamentals

• How autonomous agents operate

• Components like state, memory, tools, and decision logic

🔥 LangGraph Mastery

• Building graph-based agent workflows

• Event-driven state management

• Multi-agent orchestration techniques

🔥 LangChain Techniques

• Connecting LLMs with tools, APIs, and data sources

• Implementing reasoning, memory, and context management

🔥 Production-Level Applications

• Deploying single-agent and multi-agent AI systems

• Optimizing workflows for performance and reliability

• Building real-world autonomous AI solutions

---

Why This Course Is a Must-Have

• 100% Project-Based Learning — create powerful agentic applications with practical examples

• Beginner-Friendly Yet Advanced — ideal for learners of all levels

• Real-World Skills — aligned with industry demand for agentic AI developers

• Cutting-Edge Tools — master LangGraph, LangChain, and modern AI orchestration frameworks

If you want to future-proof your career, build AI-driven automation, or create intelligent multi-agent systems — this course is your gateway.

---

Who This Course Is For

• AI/ML Engineers & Developers wanting to build advanced autonomous agent workflows

• Data Scientists & Researchers integrating agentic behavior into applications

• Students, Tech Enthusiasts & Innovators exploring next-generation AI development

• Software Engineers interested in multi-agent orchestration using LangGraph & LangChain

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.