Vercel Mastery · Step 4 of 6
AI Gateway & AI SDK
Learn to wire one API through the AI Gateway to any model provider, then ship it with the AI SDK on Vercel — safely and observably.
What you’ll walk away with
- Connect multiple AI model providers through a single unified API using the AI Gateway instead of managing separate integrations
- Implement streaming responses, tool calling, and structured output with the AI SDK
- Design AI features that account for cost and rate limits before they hit production
- Build a production-minded AI feature end-to-end as a hands-on exercise
- Reason about observability for AI features so you can see what's happening in production, not just at build time
Questions people ask before they start
Do I need prior experience with the AI SDK or AI Gateway?
The course starts from the AI Gateway as 'one API for every model provider,' so it's built to introduce these tools rather than assume you've used them already.
Is this course focused on a specific hosting platform?
Yes — the course is specifically about building AI features on Vercel using the AI Gateway and AI SDK, so the lessons and hands-on work are grounded in that stack.
Will I actually build something, or is this just concepts?
The final lesson, 'Hands-On: A Production-Minded AI Feature,' has you apply the Gateway, streaming, tools, and structured output concepts from earlier lessons to build an actual feature.
Does this cover keeping costs and usage under control?
Yes, there's a dedicated lesson on cost, rate limits, and production AI features, covering the practical constraints you'll hit once an AI feature is live.
Why is a cybersecurity company teaching an AI development course?
Securafy built AI University to teach people to build real software with AI safely, so this course frames production AI features through that same lens of building things that hold up under real-world use.
How much of the course is about streaming, tools, and structured output specifically?
That's the focus of the second lesson, 'The AI SDK: Streaming, Tools, and Structured Output,' which covers those three AI SDK capabilities directly before you move into cost/rate-limit considerations and the hands-on build.