IBM RAG and Agentic AI

via Coursera

Coursera

2001 Courses


course image

Overview

Master advanced generative AI skills including RAG pipelines, multimodal AI integration, and autonomous agent systems using tools like LangChain, LangGraph, CrewAI, and BeeAI to create sophisticated AI applications.

Syllabus

    - Introduction to RAG and Agentic AI -- Overview of the Course -- The Importance of Generative AI in the Current Landscape -- Introduction to Key Concepts: RAG, Agentic AI, Multimodal AI - Prompt Engineering -- Basic and Advanced Techniques -- Contextual Design and Optimization -- Examples and Hands-on Exercises - Retrieval-Augmented Generation (RAG) Pipelines -- Understanding RAG -- Designing Effective RAG Pipelines -- Use Cases and Implementation Strategies - Multimodal AI Integration -- Introduction to Multimodal AI -- Text, Image, and Audio Processing -- Integrating Multiple Data Modalities in Applications - Designing Autonomous Multiagent Systems -- Fundamentals of Agentic AI -- Creating and Managing Multiagent Workflows -- Autonomy and Coordination in Agent Systems - Tools and Frameworks -- Overview of AI Development Tools -- Utilizing LangChain and LangGraph for Workflow Orchestration -- Introduction to CrewAI, AG2, BeeAI, and Model Context Protocol (MCP) - Integrating External Tools and APIs with AI Agents -- API Integration Techniques -- Building API-Driven AI Solutions -- Hands-on API Integration Exercises - Orchestrating Complex Workflows -- Workflow Design with LangChain and LangGraph -- Advanced Application Scenarios -- Case Studies and Real-world Applications - Capstone Projects -- Developing a Portfolio of AI Projects -- Implementing Learned Skills in Real-World Scenarios -- Presentation and Feedback Sessions - Career Advancement in AI -- Pathways to Entering Advanced Data Science and AI-Driven Automation -- Building a Professional Network -- Showcasing Your IBM Professional Certificate - Conclusion and Future Directions in AI -- Summary of Key Learning Points -- Emerging Trends and Future Technologies in AI -- Continued Learning and Professional Growth Opportunities

Taught by

, Hailey Quach, IBM Skills Network Team, Rachael and Wojciech 'Victor' Fulmyk


Tags