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Learner Reviews & Feedback for Fundamentals of Building AI Agents by IBM

4.8

stars

32 ratings

About the Course

Are you ready to build AI that thinks, acts, and gets things done? In this course, you’ll learn how to design agents that go beyond language generation to reason, take action, and tackle real-world tasks using tools and data.  During the course, you'll explore the foundations of tool calling and chaining with LangChain. You’ll discover how to extend the capabilities of Large Language Models (LLMs) by connecting them with calculators, code, and external data sources. You'll learn how LLMs trigger tool use through LangChain Expression Language (LCEL) and look at manual tool calling for greater control and accuracy. Plus, you’ll explore built-in agents that can analyze data, create visualizations, and run SQL queries using natural language.  To get the most from this course, we recommend that you have Python programming skills, a basic understanding of LangChain, and familiarity with core AI concepts.  Whether you're building a chatbot or a smart assistant, if you’re looking to build the skills to create dynamic, intelligent, and goal-oriented AI systems, enroll today!...

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1 - 7 of 7 Reviews for Fundamentals of Building AI Agents

By Barry F P

•

Jun 9, 2025

This course is a later course in the IBM RAG and Agentic series. The 12m intro lecture is a remarkable performance - one of the best I have encountered. None of the Skills Network labs are functioning. I plan to return to the course and retake it once it is published. In the meantime, plan to complete the requisite courses here on Coursera, BFP