If you want a concise overview of how modern AI agents are designed, without going through a full-length course, “Agentic System Design Crash Course” covers the core architectural principles, design frameworks, and selected case studies from the main course in a condensed format.
You’ll learn how to design autonomous AI systems by understanding core agent components, orchestration patterns, memory and reflection mechanisms, safety guardrails, and evaluation strategies. Then, you’ll apply a structured design framework to analyze real-world agentic systems, including multi-agent recommenders, autonomous reward learning agents, multimodal web agents, and generative multimodal systems.
This course preserves the intellectual depth and architectural rigor of the full program while streamlining the learning path for experienced engineers and AI practitioners who want concentrated, high-value insights.
If you want a concise overview of how modern AI agents are designed, without going through a full-length course, “Agentic System...Show More
WHAT YOU'LL LEARN
A structured framework for analyzing and designing agentic AI systems
How to decompose complex AI problems into agent-based architectures
How to integrate models, tools, memory, and control loops in autonomous agents
How to design and evaluate multi-agent and multimodal systems
How to improve agent performance through iterative reflection and feedback
How to assess trade-offs in autonomy, safety, and scalability
How to move from research case studies to implementation-ready designs
A structured framework for analyzing and designing agentic AI systems
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Learning Roadmap
1.
Agent Design Fundamentals
Agent Design Fundamentals
Understand core agent components, control loops, memory, orchestration patterns, and guardrails behind modern AI systems.
2.
Designing Real-World Agentic Systems
Designing Real-World Agentic Systems
Apply a structured framework to analyze and design real-world agentic systems across multiple domains.
How to Analyze Agentic Systems Using a Structured FrameworkDesigning Multimodal Web AgentsThought Exercise: Design a Self-Improving Web AgentDesigning a Multi-Agent Conversational Recommender SystemDesigning an Autonomous Reward Learning AgentImplementing an Autonomous Reward Learning Agent with Google ADKDesigning a Multimodal-LLM Agent for Multi-Object Diffusion
Certificate of Completion
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