Master Agentic AI Systems

Step into the future of artificial intelligence with the Complete Agentic AI Engineering Course — a comprehensive, hands-on program designed to help you build, deploy, and manage autonomous AI systems. Whether you’re a data scientist, machine learning engineer, or a tech innovator, this course equips you with the technical expertise to design AI agents that can think, plan, and act independently.
 
Explore These Valuable Resources:
Agentic AI: Research Trends and Challenges
Microsoft Autonomous Agents Project
Hugging Face Blog on Agentic AI
 
What You’ll Learn:
Core principles of agentic AI architecture and frameworks
Integrating large language models (LLMs) into autonomous agents
Advanced prompt engineering and context management
Multi-agent collaboration, coordination, and orchestration
Working with LangChain, AutoGen, and OpenAgents
Building secure, ethical, and responsible agentic systems
Real-world use cases, deployment, and evaluation strategies
 
Requirements:
Basic Python programming skills
Foundational understanding of AI and machine learning
A computer with internet access for labs and projects
 
Course Overview
The Complete Agentic AI Engineering Course is designed to take you from foundational theory to hands-on mastery. You’ll begin by exploring the fundamentals of agentic system design — including agent-environment interaction models, memory-driven behavior, and feedback loops. As you progress, you’ll dive into practical frameworks such as LangChain, AutoGen, and OpenAgents to construct dynamic, goal-driven AI systems capable of autonomous reasoning and execution.
 
Through interactive labs and real-world projects, you’ll learn how to build intelligent agents that communicate, collaborate, and adapt in complex environments — preparing you to lead the next generation of AI innovation.