Developing MCP-Powered Agentic AI Systems
Completed by ALEJANDRO SINHUÉ ZANELLO
May 22, 2026
11 hours (approximately)
ALEJANDRO SINHUÉ ZANELLO's account is verified. Coursera certifies their successful completion of Developing MCP-Powered Agentic AI Systems
What you will learn
Explain MCP architecture and communication patterns that enable reliable, interoperable agentic AI systems.
Implement MCP servers, tools, and URI-based resources to connect agents with structured real-world data.
Design intelligent agents that reason reflexively, plan multi-step tasks, and recover from failures.
Deploy and evaluate agent systems using APIs, observability, monitoring, and scalable deployment practices.
Skills you will gain
- Category: LangGraph
- Category: AI Integrations
- Category: Generative AI Agents
- Category: Model Context Protocol
- Category: Agentic systems
- Category: Prompt Engineering
- Category: AI Workflows
- Category: Artificial Intelligence
- Category: LangChain
- Category: Performance Analysis
- Category: Google Gemini
- Category: Application Deployment
