Agentic AI Architectures with Patterns, Frameworks and MCP

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the next level of AI mastery by learning how to design and implement agentic AI architectures. This course empowers you to build intelligent multi-agent systems, understand core components like perception, planning, memory, and communication, and leverage frameworks and design patterns to create robust AI solutions. Your journey begins with a deep dive into AI agents, exploring principles, generative AI integration, and real-world use cases. You'll progressively design simple agents, then advance to sophisticated architectures, including orchestration, choreography, and multi-agent systems. Along the way, you'll learn the intricacies of Agentic RAG, communication protocols, and context engineering. The course then guides you through frameworks, patterns, and Model-Context Protocols (MCP), equipping you with hands-on skills to design AI workflows, agent orchestration, and platform integration. Practical projects such as building research assistants, ChatGPT agents, and health agents ensure that theory translates into applied expertise. This course is ideal for AI developers, software architects, and technical professionals aiming to implement agentic AI systems. No prior experience with MCP is required, but familiarity with AI fundamentals and microservices is recommended. Difficulty level: Intermediate to Advanced. By the end of the course, you will be able to design and implement agentic AI architectures, apply design patterns effectively, build multi-agent workflows, utilize Model-Context Protocols, and develop context-aware AI solutions across real-world applications.

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