Tool Calling is a powerful technique that enables Large Language Models (LLMs) to access and utilize real-time data from external sources such as APIs and databases. Coursera's Tool Calling catalogue teaches you how to implement this crucial skill in AI development, enhancing the capabilities of language models. You'll learn to design and execute both traditional and embedded tool calling methods, understand the process of defining tools, manage tool execution, and mitigate issues like hallucination in LLM responses. This skill empowers you to create more intelligent, context-aware AI systems that can perform complex tasks by seamlessly integrating external data and functionalities, making it an essential competency for AI developers and data scientists in building advanced, real-world AI applications.