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RAG and Agentic AI Professional Certificate
Build real-world AI with RAG and agentic AI. Use AI tools to streamline automation, drive innovation & take your career further, faster.
Professional Certificate - 8 course series
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.
Read less
Develop Generative AI Applications: Get Started
Course 1
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8 hours
Build RAG Applications: Get Started
Course 2
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6 hours
Vector Databases for RAG: An Introduction
Course 3
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9 hours
Advanced RAG with Vector Databases and Retrievers
Course 4
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1 hour
Build Multimodal Generative AI Applications
Course 5
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7 hours
Fundamentals of Building AI Agents
Course 6
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11 hours
Agentic AI with LangChain and LangGraph
Course 7
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10 hours
Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI
Course 8
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AI Agents and Agentic AI with Python & Generative AI
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AI Agents and Agentic AI Architecture in Python
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Intermediate Planning: Tracking Progress in the Agent Loop
Widget (15 minutes)
OpenAI GPTs: Creating Your Own Custom AI Assistants
Course 3 of 6
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Prompt Engineering for ChatGPT
Course 4 of 6
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ChatGPT Advanced Data Analysis
Course 5 of 6
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Prompt Engineering for ChatGPT
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ChatGPT Advanced Data Analysis
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GPT Vision: Seeing the World through Generative AI
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Introduction
Video (6 minutes)
Generative AI Leadership & Strategy
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Welcome
Video (3 minutes)
Prompt Engineering for ChatGPT
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Course 3 of 3
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