APIs for AI Work: Foundations and Practical Integration
A structured workshop covering how AI APIs function, how to authenticate and call them, and how to handle responses in real projects.
3 structured workshops covering real API integration scenarios — from authentication flows to live model calls. Each session is built around working code, not slides.
Each workshop runs independently — participants can join any session without prior attendance. Assignments use real API endpoints with documented response examples.
A structured workshop covering how AI APIs function, how to authenticate and call them, and how to handle responses in real projects.
An advanced event for engineers building AI-powered features into existing products, covering reliability, observability, and cost governance at scale.
A focused masterclass comparing major AI API providers across capability, latency, pricing models, and integration complexity for real engineering decisions.
Each workshop session is built around 4 to 6 hands-on assignments. Participants work directly with live API endpoints — OpenAI, Anthropic, and open-source alternatives — and complete tasks that produce actual output, not mock data.
The format suits developers who have written some code before but haven't yet integrated AI APIs into a working project. No prior machine learning knowledge is assumed.
Participants configure authentication for the session's target API — keys, tokens, or OAuth depending on the provider. Takes roughly 15 minutes.
A guided walkthrough of the first real API call — reading the response, handling errors, and understanding rate limits from the start.
4 to 6 tasks per session. Each builds on the previous. Participants submit working code, not written answers.
Session closes with a code review pattern and a short list of what to explore independently — no mandatory homework, no follow-up pressure.
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