AI Agents: Building Autonomous Intelligent Systems

Master the art and science of building AI agents that can perceive, reason, plan, and act autonomously. This course bridges the gap between language models and intelligent systems that can solve complex real-world problems through tool use, planning, and multi-agent coordination.

Learning Objectives

• Understand agent architectures and autonomous behavior patterns
• Master tool integration and function calling with MCP protocol
• Implement planning algorithms and reasoning strategies
• Design multi-agent systems with coordination and communication
• Build production-ready agents with memory and context management
• Deploy and monitor AI agents in real-world environments
• Apply ethics, safety, and optimization principles to agent systems

Course Content