Coursera - Ibm Rag And Agentic Ai Professional Certificate
 

What you'll learn
Build the job-aligned GenAI skills and hands-on experience to create RAG, multimodal, and agentic AI applications employers need in just 3 months
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
Skills you'll gain
Web development
Enhance your career in the high-growth field of artificial intelligence with advanced skills in generative AI. This program is designed to equip you with advanced techniques and tools such as prompt engineering, Agentic, and multimodal AI integration, enabling you to create sophisticated & context-aware AI applications.
This program will teach you advanced AI skills including developing efficient Retrieval-Augmented Generation (RAG) pipelines, integrating multimodal AI for text, image, and audio processing, as well as designing autonomous multiagent systems. The program will not only help you advance your career in AI but also provides a strong foundation for future career development in areas such as advanced data science, deep learning, and AI-driven automation.
You'll also utilize the latest tools used by AI experts, including integrating external tools and APIs with AI agents, orchestrating complex workflows using LangChain and LangGraph, and frameworks like CrewAI, AG2, BeeAI, and Model Context Protocol (MCP).
When you complete the full program, you'll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise.
This program is ideal for software developers, machine learning engineers, data scientists, and anyone with Python programming experience who wants to level up their AI engineering game. Enroll today and master the latest generative AI technologies at the forefront of innovation!
Applied Learning Project
Throughout this program, you'll complete hands-on projects and labs, gaining practical experience in building AI applications with generative, retrieval-augmented, and agentic techniques.
Projects
Develop prompt engineering techniques and LangChain prompt templates
Build smart AI applications by empowering LLMs with LangChain
Set up a Gradio interface to interact with your models
Implement function calling and integrate external tools for context-aware responses
Conduct similarity searches on text using Chroma Vector DB
Build and utilize your own data visualization agent
At the end of this program, you'll complete a real-world capstone project specifically designed to showcase your newly learned AI application skills.