Full Stack Agentic AI

About this course

Build real-world Agentic AI systems—not just chatbots. Most developers rely on tools like ChatGPT or Google Gemini, but quickly hit limits: no memory, weak reasoning, and little ability to interact with real data or APIs. Traditional AI apps can respond, but they can’t truly act, decide, or scale in production environments. This 3-course specialization changes that. You will begin by creating RAG full-stack AI apps using Angular and Node.js, then explore MCP server design, tool-calling systems, and agent workflows, and lastly go into production-grade architectures with vector databases, MongoDB, and distributed RAG pipelines. By the end, you become capable of building smart agents that retrieve knowledge, call APIs, manage structureddata as wellasmake autonomous decisions. You’ll master RAG, MCP, embeddings, and vector databases while also gaining practical experience with real-world tools like customer systems, order workflows, and external APIs. This also prepares you for AI engineering and system design interviews with confidence. What makes this Agentic AI certification course different is its focus on true full-stack agentic architecture, going beyond theory to help you build production-ready AI systems end to end. This is designed for developers, AI engineers, and students who want to move beyond basic AI API usage and build powerful, real-world intelligent systems. Start building AI that actually works in production. Enroll now.

Course objectives

• help learners build true full-stack agentic architectures
• prepare students for AI engineering and system design interviews