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IBM RAG and Agentic AI Professional Certificate

A fast-track, project-driven professional credential that equips you with cutting-edge RAG and agentic AI skills to build sophisticated, autonomous AI applications.

access

Lifetime

level

Advanced

certificate

Certificate of completion

language

English

What will you learn in IBM RAG and Agentic AI Professional Certificate Course

  • Build job-aligned generative AI skills to create RAG, multimodal, and agentic AI applications in just 3 months.

  • Design modular, reusable AI workflows with LangChain prompt templates and function calling.

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  • Implement efficient RAG pipelines with vector stores (ChromaDB, FAISS) and similarity search.

  • Develop multimodal AI apps combining text, image, audio, and video using IBM’s Granite, OpenAI Whisper, DALL·E, and more.

Program Overview

Develop Generative AI Applications: Get Started

⏳ 8 hours

  • Master GenAI basics, LangChain prompt engineering, and build a Flask web app with structured JSON outputs.

Build RAG Applications: Get Started

⏳ 6 hours

  • Learn Retrieval-Augmented Generation fundamentals, design Gradio interfaces, and build RAG apps with LangChain and LlamaIndex.

Vector Databases for RAG: An Introduction

⏳ 9 hours

  • Differentiate vector vs. relational DBs, operate ChromaDB, perform similarity search, and build recommendation systems.

Advanced RAG with Vector Databases and Retrievers

⏳ 1 hour

  • Implement advanced FAISS retrievers, design end-to-end RAG apps with LangChain and Gradio, and optimize retrieval patterns.

Build Multimodal Generative AI Applications

⏳ 7 hours

  • Integrate text, speech, images, and video into AI apps using IBM’s Granite, Meta’s Llama, OpenAI’s Whisper, DALL·E, Sora, Flask, and Gradio.

Fundamentals of Building AI Agents

⏳ 11 hours

  • Develop autonomous agents with tool calling, LangChain agents, data analysis, and visualization capabilities.

Agentic AI with LangChain and LangGraph

⏳ 10 hours

  • Build multi-agent systems with memory, reflexion, ReAct architectures, and orchestrate collaborative workflows.

Get certificate

Job Outlook

  • AI Engineers and ML Engineers with RAG and agentic AI expertise are in high demand to build context-aware and autonomous AI solutions.

  • Roles such as RAG Specialist, Generative AI Developer, and AI Workflow Engineer command salaries in the $100K–$150K range.

  • Skills in LangChain, vector databases, and multi-agent frameworks open opportunities in tech, finance, healthcare, and enterprise AI teams.

9.7Expert Score
Highly Recommendedx
IBM’s professional certificate delivers a seamless progression from generative AI fundamentals through advanced RAG pipelines and autonomous agent design. With interactive labs, real-world projects, and up-to-date tools (updated May 2025), learners graduate with production-ready skills to innovate and automate.
Value
9
Price
9.2
Skills
9.4
Information
9.5
PROS
  • Comprehensive coverage of generative, retrieval-augmented, and agentic AI techniques.
  • Hands-on projects using LangChain, LlamaIndex, FAISS, ChromaDB, and multimodal frameworks.
  • Interactive Flask and Gradio labs for real-world app deployment.
CONS
  • Requires advanced Python proficiency and AI background.
  • Limited deep dive into cloud-native deployment at scale.

Specification: IBM RAG and Agentic AI Professional Certificate

access

Lifetime

level

Advanced

certificate

Certificate of completion

language

English

IBM RAG and Agentic AI Professional Certificate
IBM RAG and Agentic AI Professional Certificate
Course | Career Focused Learning Platform
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