What will you learn in IBM RAG and Agentic AI Professional Certificate Course
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Build job-aligned generative AI skills to create RAG, multimodal, and agentic AI applications in just 3 months.
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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.
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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
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AI Engineers and ML Engineers with RAG and agentic AI expertise are in high demand to build context-aware and autonomous AI solutions.
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Roles such as RAG Specialist, Generative AI Developer, and AI Workflow Engineer command salaries in the $100K–$150K range.
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Skills in LangChain, vector databases, and multi-agent frameworks open opportunities in tech, finance, healthcare, and enterprise AI teams.
Explore More Learning Paths
Enhance your AI expertise by mastering Retrieval-Augmented Generation (RAG) and Agentic AI techniques for cutting-edge applications in business and technology.
Related Courses
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RAG for Generative AI Applications Specialization Course – Learn how to leverage Retrieval-Augmented Generation to build smarter, more efficient AI systems.
Related Reading
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What Is Data Management? – Discover how effective data management underpins AI applications and supports advanced decision-making.
