MCP Servers & Agentic AI Architecture
Completed by Chandroliya Keval
April 7, 2026
17 hours (approximately)
Chandroliya Keval's account is verified. Coursera certifies their successful completion of MCP Servers & Agentic AI Architecture
What you will learn
Build production-ready MCP architecture that powers real AI systems—structure tools, resources, and prompts for scalable execution
Master Gemini and OpenAI tool calling to create AI thatdoesn’tjust respond but executes workflows and delivers real outcomes
Create intelligent agents that automate decisions, trigger backend actions, and handle end-to-end workflows without manual intervention
Leverage ChromaDB and pgVector to build context-aware AI systems using embeddings, retrieval pipelines, and high-performance data flows
Skills you will gain
- Category: Data Modeling
- Category: Server Side
- Category: Google Gemini
- Category: Back-End Web Development
- Category: Node.JS
- Category: Tool Calling
- Category: Generative AI Agents
- Category: Gemini
- Category: OpenAI API
- Category: Agentic Workflows
- Category: PostgreSQL
- Category: AI Integrations

