Professional Certificate AI Engineering & Agents

IBM RAG and Agentic AI

Issued through Coursera by IBM · Completed · 10 courses

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What it covers

Building advanced generative AI applications with RAG, vector databases, and agent frameworks; designing multi-agent architectures with LangGraph and CrewAI; building tool-using agents over MCP.

Skills

  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • BeeAI
  • Model Context Protocol (MCP)
  • Multi-Agent Architectures
  • Function Calling & Tool Use
  • Multimodal Generative AI

Course list (10)

  1. Develop Generative AI Applications: Get Started
  2. Build RAG Applications: Get Started
  3. Vector Databases for RAG: An Introduction
  4. Advanced RAG with Vector Databases and Retrievers
  5. Build Multimodal Generative AI Applications
  6. Fundamentals of Building AI Agents
  7. Agentic AI with LangChain and LangGraph
  8. Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI
  9. Build AI Agents using MCP
  10. RAG and Agentic AI Capstone Project

All 11 credentials · Credentials on the homepage · Résumé