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 Multi-Agent System for Customer Service
Hard
Agent Architecture

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.

GoogleMetaAmazon
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Build a Hierarchical Agent Network
Hard
Coordination

Create a hierarchical network of agents where parent agents delegate tasks to child agents. Implement coordination, resource management, and result aggregation.

MicrosoftOpenAI
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Create a Self-Improving Agent System
Hard
Learning

Build an agentic system that learns from past interactions and improves its performance. Include memory management, reflection, and optimization mechanisms.

OpenAIAnthropic
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Multi-Agent Task Scheduling
Hard
Orchestration

Design a system to schedule and orchestrate multiple agents working on interdependent tasks. Handle deadlocks, timeouts, and resource constraints.

StripeLinkedIn
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Implement CodeAct Pattern for Agentic AI
Hard
Code Generation

Build an agent that generates and executes code to solve problems. Implement safety constraints, error recovery, and interactive debugging.

AnthropicOpenAI
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Build Resilient Multi-Agent Swarm
Hard
Resilience

Design a swarm of agents that can dynamically adapt to failures. Implement health checks, agent replacement, and workload rebalancing.

MetaGoogle
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6
Total Problems
Design Patterns
Agent architectures & coordination
Real-world
Based on production systems

Learning Resources

Multi-Agent Systems Design Patterns

Learn ReWOO, CodeAct, and other proven patterns for building intelligent agents

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Agentic AI Fundamentals

Understand core concepts of agent-based systems and their applications

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