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Agentic System Design Crash Course
Educative
Platform
· Washington, USA
About this course
Short on time? Learn how to design real-world AI agents, analyze agentic architectures, and apply proven design frameworks through focused, high-impact lessons in just 8 hours. This crash course gives you a concise overview of modern agentic AI system design, covering core architectural principles, design frameworks, and selected case studies. You’ll learn about agent components, orchestration patterns, memory and reflection mechanisms, safety guardrails, and evaluation strategies, then apply a structured framework to real-world systems such as multi-agent recommenders, autonomous reward learning agents, multimodal web agents, and generative multimodal systems.
Prerequisite Skills
Skills you should have before taking this course
Python Programming
machine learning fundamentals
Software system design
Skills Gained
Skills you will develop by completing this course
multi-agent systems
Multimodal AI
AI agents
Agentic system design
AI system architecture
Autonomous reward learning
AI safety and reliability
AI system evaluation