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Intermediate
Artificial Intelligence & Machine Learning
en
Master Agentic Design Patterns
Educative
Platform
· Washington, USA
About this course
This hands-on course teaches you how to design and build proactive, scalable agentic AI systems. You’ll learn the foundational building blocks of AI agents, including structured outputs, tool integration, and retrieval for context-aware interactions. The course then covers strategic agentic design patterns such as prompt chaining, routing, parallelization, orchestrator–worker, and evaluator–optimizer to improve task management and system performance. Finally, you apply these patterns in real-world case studies by building multi-agent research systems and coding agent systems, gaining practical experience in designing efficient AI solutions for complex tasks.
Prerequisite Skills
Skills you should have before taking this course
Python
Prompt Engineering
Basic Machine Learning Concepts
Skills Gained
Skills you will develop by completing this course
Retrieval-Augmented Generation (RAG)
multi-agent systems
Tool integration for AI agents
Agentic AI design patterns
AI agents fundamentals
Prompt chaining
Orchestrator–worker pattern
Evaluator–optimizer pattern