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 a system where multiple AI agents collaborate to handle customer support tickets. Agents should be able to route tickets, gather information, and escalate when needed.
Create a hierarchical network of agents where parent agents delegate tasks to child agents. Implement coordination, resource management, and result aggregation.
Build an agentic system that learns from past interactions and improves its performance. Include memory management, reflection, and optimization mechanisms.
Design a system to schedule and orchestrate multiple agents working on interdependent tasks. Handle deadlocks, timeouts, and resource constraints.
Build an agent that generates and executes code to solve problems. Implement safety constraints, error recovery, and interactive debugging.
Design a swarm of agents that can dynamically adapt to failures. Implement health checks, agent replacement, and workload rebalancing.
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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