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!
KL
The labs are excellent and the course lays out the basics perfectly
DP
It was made easy and lab launch added so much of hands-on knowledge. Only if you could make it available for life-time access.
DY
Greate course . Helped me see more practical options when developing the Agentic workflow
RR
Great course on fundamentals. Good practical exercises.
HD
This course exceeded my expectations and proved to be an outstanding investment in my professional development
VS
this course was very helpful for understanding AI Agents
IS
Great simple & easy course, but some Lab's code snippets had typos/issues ;)
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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
Great course on fundamentals. Good practical exercises.
It was made easy and lab launch added so much of hands-on knowledge. Only if you could make it available for life-time access.
It provides enough general and specific knowledge to create complex AI Agents. A great entry point to Agentic AI
This course exceeded my expectations and proved to be an outstanding investment in my professional development
Greate course . Helped me see more practical options when developing the Agentic workflow
Excelente curso, con muchos recursos y bien explicado con profundidad.
The labs are excellent and the course lays out the basics perfectly
this course was very helpful for understanding AI Agents
Awesome for solid theory and ai usecases practicing!
Really useful and what I was expecting
Excelente en todo.
Excellent course
Excellent
Good
For context, I am a seasoned front-end developer. The first course is okay, but it took a while to understand what the labs were and how it all worked. One has to spend some time discovering it all out. By the third module I was happy that I was cruising through it. In itself the information is quite helpful if you're new to the concept of AI development.
A lot of helpful content here, but the code examples seem out of date. Many of them don't function properly, and many of the libraries used are "long deprecated" according to their docs. Seems like the course needs an update
It explore multiple ways to build and control Agents but doesn't include the current best benchmark information like using Cursor or OpenAI current agents
Great simple & easy course, but some Lab's code snippets had typos/issues ;)
GOOD