Back to Catalog

IBM RAG and Agentic AI Professional Certificate

PremiumIntermediateProfessional Certificate

Master advanced generative AI skills with RAG, multimodal processing, and agentic systems to build real-world AI applications and accelerate your AI engineering career through hands-on projects.

Language

  • English

Industries

  • Information Technology

Skills You Will Learn

  • Agentic AI, AI Agents, Application Development, Autogen, BeeAI, Chatbots, ChromaDB, Faiss, Flask, Generative AI, Gradio, HNSW, Hugging Face, LangChain, LangGraph, LCEL, LlamaIndex, LLMs, Mixtral, Multimodal AI, Pipelines, Prompt Engineering, Python, RAG, React, Similarity Search, Vector Databases

Offered By

  • IBM

Platform

  • SkillsNetwork

Last Update

  • May 16, 2026
About this Professional Certificate
Advance your career in the rapidly evolving field of artificial intelligence with this Professional Certificate, an eight-course program designed to help you master advanced generative AI techniques. 

After completing this professional certificate, you will be able to: 

  • Build the job-aligned GenAI skills and hands-on experience to create RAG, multimodal, and agentic AI applications employers need
  • Learn to design and chain AI tools with LangChain for modular, reusable gen AI workflows
  • Implement function calling, RAG, and vector stores to build intelligent, context-aware applications
  • Create autonomous AI agents using LangGraph, CrewAI, and AG2 for real-world impact
  • Integrate multimodal AI techniques for text, image, and audio processing
  • Develop a portfolio of practical AI projects demonstrating end-to-end engineering skills

You’ll learn essential skills including prompt engineering, Retrieval-Augmented Generation (RAG), multimodal AI, and the design of autonomous multi-agent systems. With hands-on labs and guided projects, you’ll gain the technical depth needed to build sophisticated, context-aware AI applications for real-world use.
 
Throughout the program, you will work with industry-leading tools and frameworks such as LangChain, LangGraph, CrewAI, AG2, BeeAI, and the Model Context Protocol (MCP). You’ll integrate external tools and APIs into your AI applications, orchestrate reusable workflows, apply vector databases for retrieval, and build multimodal systems capable of processing text, images, and audio.
 
In addition to structured learning, you’ll complete a portfolio of applied projects—including RAG pipelines, prompt-engineered workflows, function-calling agents, Gradio interfaces, similarity search applications, and custom data visualization agents. The program concludes with a real-world capstone that showcases your end-to-end AI engineering capabilities.

Designed for software developers, data scientists, and ML engineers with Python experience, this certificate provides the advanced skills needed to excel as an AI engineer. Upon completion, you’ll earn a Professional Certificate from IBM, demonstrating your mastery of next-generation AI technologies.

Recommended Experience:

  • Experience with Python programming is recommended. Familiarity with software development and AI concepts can also enhance your learning experience.

Courses and Projects in this Professional Certificate

RAG: Vector Databases with ChromaDB
PremiumIntermediateCourse
RAG: Vector Databases with ChromaDB

Learn vector databases, similarity search, and ChromaDB operations to build recommendation systems, and improve AI retrieval performance in GenAI applications using embeddings.

See more
RAG: Build Apps with LangChain and LlamaIndex
PremiumIntermediateCourse
RAG: Build Apps with LangChain and LlamaIndex

Learn RAG development through hands-on training in retrieval pipelines, Gradio interfaces, and LlamaIndex workflows to build accurate, context-aware AI applications

See more
Agentic AI: Developing AI Agents
PremiumIntermediateCourse
Agentic AI: Developing AI Agents

Build intelligent AI agents using LangChain by learning tool calling, chaining, LCEL workflows, and built-in agents to create actionable, reasoning-driven applications for real-world automation.

See more
Agentic AI: LangGraph, CrewAI, AutoGen, and BeeAI
PremiumIntermediateCourse
Agentic AI: LangGraph, CrewAI, AutoGen, and BeeAI

Build multi-agent AI systems using LangGraph, CrewAI, BeeAI, and AG2 by mastering agentic design patterns, orchestration workflows, and collaborative agent behaviors for scalable AI applications.

See more
RAG: Vector Databases and Retrievers
PremiumIntermediateCourse
RAG: Vector Databases and Retrievers

Master advanced RAG techniques using FAISS, ChromaDB, and modern retrievers while building high-performance search applications with LangChain and LlamaIndex, and Gradio.

See more
Developing Multimodal Generative AI Applications
PremiumIntermediateCourse
Developing Multimodal Generative AI Applications

Learn multimodal AI by building applications that combine text, speech, images, and video using Whisper, DALL·E, Sora, Llama, Granite, Mixtral, Flask, and Gradio through hands-on labs and real projects.

See more
Agentic AI: LangChain and LangGraph
PremiumIntermediateCourse
Agentic AI: LangChain and LangGraph

Build intelligent agentic AI systems with LangChain and LangGraph using memory, iteration, reflection, and multi-agent orchestration to solve complex tasks through retrieval-enhanced reasoning.

See more
Generative AI Application Development Fundamentals
PremiumIntermediateCourse
Generative AI Application Development Fundamentals

Learn GenAI development with hands-on training in prompt engineering, LangChain workflows, and model optimization to build reliable AI applications for real-world use.

See more