Are you ready to build AI that thinks, acts, and gets things done? In this course, you鈥檒l learn how to design agents that go beyond language generation to reason, take action, and tackle real-world tasks using tools and data.鈥� During the course, you'll explore the foundations of tool calling and chaining with LangChain. You鈥檒l 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鈥檒l explore built-in agents that can analyze data, create visualizations, and run SQL queries using natural language.鈥� 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.鈥� Whether you're building a chatbot or a smart assistant, if you鈥檙e looking to build the skills to create dynamic, intelligent, and goal-oriented AI systems, enroll today!
From Natural Language to Data Visualizations with LangChain
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IBM
Course 6 of 8 in the IBM RAG and Agentic AI Professional Certificate
Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), Software Development, Generative AI, Generative AI Agents, Agentic systems, Systems Design, Application Development
From the lesson
Using Built-in Agents in LangChain
Taught By
Joseph Santarcangelo
Ph.D., Data Scientist at IBM
Kunal Makwana
Karan Goswami
Faranak Heidari