Agentic AI in Action: Tool Use with LangChain

Tools allow agents to extend beyond the language models built-in knowledge and interact with functions, APIs, and real-world data sources. In this course, learn how to build safe Python functions as LangChain tools and the differences between tool-based and plain LLM math. Next, explore how to integrate built-in tools like DuckDuckGo Search and Wikipedia, and design and implement a custom weather tool to demonstrate business-specific logic. Finally, discover how to combine multiple tools in a reasoning loop to generate accurate, well-sourced answers.After completing this course, you will be able to utilize tools to make LangChain agents more practical, adaptable, and significantly more reliable.