Agentic AI Engineering: RAG, MCP & MERN

About this course

What if your AI couldthink, decide, and act—not just respond? Welcome toAgentic AI Engineering, a hands-on specialization designed to help you buildautonomous, production-ready AI systems. Unlike traditional AI courses that focus only on prompts or APIs, this program teaches you how to buildend-to-end Agentic AI systemsthat can retrieve knowledge, use tools, and make decisions in real-world scenarios. You’llstart with the foundations of Agentic AI and develop scalable applications using theMERN stack, integrating models like OpenAI and Gemini.As you progress, you will createAI agents that are powered by RAG and MCP, enabling dynamic responses, tool calling, and intelligent workflows. You’llthen explore MCP architecture and tool ecosystems to build APIs and backend services that enable AI interaction with external systems. Finally,you’lllearn how to make use of AI memory with systems like vector databases (ChromaDBandpgVector) to create scalable, high-performance systems. ThisAgentic AI Engineeringcourseis designed for Developers, backend engineers, and AI enthusiasts who want to move beyond chatbots and buildreal-world AI agents. By the end,you’llbe able todesign, build, and deploy intelligent AI systemsused in modern applications. Build the future of AInot just prompts, but systems.

Course objectives

• enable students to design and deploy intelligent AI systems
• help students move beyond simple chatbot concepts
• equip students with practical skills to develop real-world AI applications