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Master Agentic Design Patterns
Master Agentic Design Patterns: a hands-on guide to building intelligent systems. You will learn the core building blocks for proactive, scalable agentic AI systems.
4.6
14 Lessons
2 Breakout Sessions
4h
Updated 2 weeks ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- A clear understanding of foundational agentic design patterns and their application
- Proficiency in identifying and utilizing the core building blocks of AI agents
- The ability to implement structured output, integrate tools, and leverage retrieval capabilities in agentic systems
- Practical knowledge of strategic AI design patterns, including prompt chaining, routing, parallelization, orchestrator and workers, and evaluator and optimizer
- Hands-on experience applying agentic design patterns through multi-agent research systems and coding agent systems
- The ability to design and implement efficient and optimized AI solutions for complex tasks
- Hands-on experience designing and orchestrating complex agent workflows for real-world AI solutions
Learning Roadmap
1.
Introduction
Introduction
Explore agentic design patterns to create proactive AI systems with essential building blocks.
2.
Design Patterns
Design Patterns
Explore strategic AI design patterns for efficient task management and optimization.
3.
Case Studies
Case Studies
2 Lessons
2 Lessons
Explore the role of agentic design patterns in multi-agent systems and their impact on coding efficiency.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
This Agentic Design Patterns course begins with core concepts, teaching you how to build proactive AI systems. You’ll explore foundational components of AI agents, the difference between patterns and techniques, and how to implement structured outputs, integrate tools, and use retrieval for context-aware interactions.
Next, the course covers strategic AI design patterns like prompt chaining, routing, and parallelization to improve task flow. You’ll also study coordination patterns like orchestrator and workers, and the roles of evaluator and optimizer in refining AI system performance.
Finally, you’ll apply your learning through case studies, building a multi-agent research system and a coding agent system. In this way, you will use these patterns in real-world scenarios. Upon completion, you’ll have a robust understanding of when and where to apply agentic patterns effectively.
Trusted by 2.9 million developers working at companies
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Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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