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DeepLearning.AI

deeplearning.ai
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coursesFree1hAi Agents Workflow Automation
DevelopersAI Engineers
Learn to build AI agents using Anthropic's powerful LLMs and tools for advanced computer interaction and task automation.

Overview

This practical course teaches you how to integrate Anthropic's large language models with external systems using their advanced tool-use capabilities. You will learn to implement function calling, build custom tools like a calculator or travel agent, and develop robust AI agents that leverage Anthropic models for complex computer use and automation. Designed for developers and AI engineers, the course provides hands-on experience in extending LLM functionality beyond basic chat to perform real-world tasks effectively.

Instructor

Isa Fulford and Jon Krohn

Machine Learning Engineer at Anthropic & Chief Data Scientist at DeepLearning.AI

Isa Fulford is a Machine Learning Engineer at Anthropic, contributing to cutting-edge LLM development. Jon Krohn is the Chief Data Scientist at DeepLearning.AI, renowned for his expertise in data science and machine learning education.

Learning Outcomes

  • Implement Anthropic tools for integrating large language models with external systems.
  • Build LLMs that can use external tools to perform complex tasks.
  • Develop agents that leverage Anthropic models for advanced computer use.
  • Apply function calling to enable LLMs to interact with custom-built tools.
  • Construct an agentic loop for sequential task execution.
  • Design and integrate practical tools like a calculator or travel agent with Anthropic models.
  • Understand the principles of agentic behavior in LLM applications.