Agentic AI Engineering: Build RealWorld Autonomous AI Agents

Master Agentic AI: Build Real-World Autonomous Agents with Python, OpenAI SDK, CrewAI & LangGraph

What you'll learn
Learn to build intelligent agents from scratch using LangChain, LangGraph, and LLMs to solve real-world business tasks.
Get hands-on with state management, structured outputs, and dynamic agent behavior to create responsive, scalable AI systems.
Develop collaborative agent ecosystems that communicate and solve complex challenges using cutting-edge agent architecture.
Build autonomous agents for coding, research, and task automation using CrewAI, OpenAI SDK, and proven AI design patterns.
Discover how to deliver business-ready agentic AI solutions with 8+ real-world projects and open-source integrations.
Stay ahead in AI with tools like AutoGen Core, Anthropic’s MCP, and repeatable Agentic patterns for robust AI development.

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.).

Description
Are you excited about the future of AI, where intelligent agents can think, act, and collaborate autonomously to solve complex tasks?Welcome to the Complete Agentic AI Bootcamp with LangGraph and LangChain — your all-in-one guide to building powerful, real-world AI agents from scratch.This hands-on course teaches you everything you need to master Agentic AI, LangGraph, and LangChain — the leading frameworks for developing autonomous AI agents and multi-agent systems. What You’ll Learn:Understand the core principles of Agentic AI and how agents differ from traditional AI models.Build agents using LangGraph and LangChain with memory, tools, and structured workflows.Architect and deploy multi-agent systems that communicate, reason, and achieve shared goals.Create real-world Agentic AI applications: autonomous research bots, task automation agents, and RAG-based assistants.Apply OpenAI Agents SDK, CrewAI, AutoGen, and Anthropic’s MCP to build production-ready, scalable agentic solutions.Why This Course?Hands-On Projects (8 Real-World Builds): Create advanced agentic apps, not just theory.Beginner to Expert: No prior LangGraph or LangChain experience needed — we start from the fundamentals.Commercial Use Cases: Learn how to apply Agentic AI in domains like search, research, task planning, customer support, and more.Master Cutting-Edge Tools: Stay ahead of the curve with AutoGen, OpenAI SDK, CrewAI, and the latest innovations in AI.By the End of This Course, You Will:Build and deploy intelligent agents that can operate independentlyArchitect complex agentic workflows with LangGraph and LangChainApply Agentic AI to real-world business challengesGain hands-on experience with 8 cutting-edge projectsBe ready to lead the future of autonomous AI innovationWhether you're a developer, data scientist, AI/ML engineer, or an AI enthusiast, this course is your ultimate launchpad into Agentic AI.Join us now and become a master of intelligent agents — shaping the future of AI in 2025 and beyond!

Who this course is for:
AI/ML Engineers and Developers who want to build advanced AI agent workflows and autonomous applications., Data Scientists and Researchers looking to integrate agentic behavior into their data-driven projects., Tech Enthusiasts and Students eager to explore the next generation of AI application development with practical hands-on projects., Software Engineers interested in learning how to orchestrate multi-agent systems using modern frameworks like LangGraph.