Updated in May 2025.

This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive deep into the technical foundation of your AutoGPT project by building the essential supporting functions. This section begins with setting up your project and establishing user interactions via the command line. You'll learn to manage API keys and make secure calls to the OpenAI API, ensuring proper communication between your AutoGPT agent and the powerful GPT-4 model. As you progress, the course will guide you through testing API calls, handling errors gracefully, and extending AI functions to perform increasingly complex tasks. You’ll also create functions to extract and process AI functions from user inputs, providing a seamless experience for users interacting with your AutoGPT agent. Additionally, you'll implement features to display the agent’s activity on the command line, ensuring transparency and control. By the end of this section, you’ll have a comprehensive suite of functions that serve as the backbone of your AutoGPT project, ready to support advanced AI-driven code generation. This section is perfect for developers and AI enthusiasts working on AI-driven projects, particularly those focused on integrating GPT-4 with Rust. A basic understanding of Rust and API interaction is recommended.