Agentic AI
Design patterns and systems for intelligent agents
Learn to design and implement multi-agent systems, agent architectures, tool integration, and agentic design patterns used by leading AI companies.
Design an agent that uses tools/APIs to gather information, processes feedback, and iteratively improves its decisions. Implement the ReWOO pattern.
Implement an efficient memory system for agents to maintain context across long conversations. Handle context window limitations and priority-based memory retrieval.
Build a framework for agents to discover, select, and safely use external tools and APIs. Implement error handling and fallback strategies.
Create a comprehensive system to evaluate agent performance including task completion rate, efficiency, safety, and user satisfaction metrics.
Learning Resources
Learn ReWOO, CodeAct, and other proven patterns for building intelligent agents
Explore →Understand core concepts of agent-based systems and their applications
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