Function Calling with Grok
Build intelligent agents: JSON schemas, tool_choice, parallel calls, and tool combination. Complete examples included.
14 lessons About 1 h Developer
What you'll learn
- Describe a tool in a JSON schema with descriptions explicit enough to be chosen appropriately
- Implement the complete tool-calling loop: trigger, local execution, and return of the result to the model
- Control model behavior with tool_choice and use parallel calls
- Declare typed tools with Pydantic and the @tool decorator to make arguments more reliable
- Build a multi-turn agent combining server and client tools, streaming, and a multi-tool pipeline
Course details
- Who it's for
- Developers, engineers, and integrators looking to use Grok via API in their applications.
- Prerequisites
- Ability to read Python and JSON, command-line basics. An API key from the xAI console to try the examples.
- Length
- 1 h · 14 lessons
- Format
- A 100% online, self-paced course accessible 24/7 from a browser. Progress is saved, and you can resume at any time. Estimated duration: 1 h.
- Assessment
- Self-assessment based on the Key takeaways that conclude each lesson, and direct practice applying the examples on your own examples. A final 5-question quiz with corrections at the end of the last lesson validates what you have learned.
- Accessibility
- Course accessible to people with disabilities: text content compatible with screen readers, keyboard navigation, and compliant contrast. For any adaptation needs, email [email protected].
- Price
- Free
- Recognition
- Certificate of completion issued by Corsen AI, verifiable online.
- Syllabus
- Download the syllabus (PDF)