Who said AI had to be built in Python? Ship production AI systems in Go — LLM integration, vector databases, function calling, and autonomous agents you'll actually deploy.
Every module ends with something running in production — not a notebook. All 5 modules are available now, and future bonus modules are included with your purchase. Click a module to see its lessons.
Get the course — $99 →From your first LLM call to a deployed AI flashcard app — prompts, API scaffolding, frontend, and shipping to production.
Give models the ability to act: define and register functions, validate outputs, and build predictable turn-based AI interactions.
Embeddings, semantic search, and retrieval — build a context-aware quiz API backed by a vector database, deployed to production.
Build a tool-using agent, integrate it into your app, refine its prompts, and deploy it to production.
How MCP works, MCP servers in practice, and building and integrating your own MCP servers — plus best practices.
Advanced topics like observability, fine-tuning, and guardrails will be added regularly — all included with your purchase.
lessons per module
A production AI app that turns real notes into quizzes — your first LLM integration, deployed with a frontend.
A turn-based AI game built on function calling — structured outputs, validation, and predictable model behaviour.
Your quiz app, upgraded with embeddings and a vector database — context-aware answers over your own documents.
A tool-using AI agent integrated into your app and deployed to production.
If the course isn't for you, email hello@bytesizego.com within 14 days for a refund.
AI engineering in production is mostly systems engineering: streaming responses, concurrent pipelines, retries, back-pressure. That's Go's home turf — one static binary, no dependency hell, and concurrency primitives that make agent orchestration natural.
You'll learn how to practically integrate AI into real applications with Go — starting from basic LLM usage and gradually building toward dynamic, intelligent, autonomous AI agents. We focus on shipping real projects every module; building your portfolio as well as your skills.
Preslav is a Senior Product Engineer with a track record of being a technical lead on multiple product-oriented teams, building resilient distributed systems for both big tech and startups.
He has been a technical trainer since 2015, most recently as the lead trainer at Trading212 for their advanced software engineering bootcamp — uniquely qualified to teach developers how to build AI applications that actually work in the real world.
No. This is a course for Go engineers, not ML researchers. You'll learn everything you need about how models behave from a systems perspective — the focus is building with them, not training them.
We won't be teaching Go on this course, so it is assumed you at least know how to write a basic program. If you have written even a single Go program, this course is for you.
Lessons use the OpenAI and Claude APIs, and the patterns you'll learn are provider-agnostic — the abstractions you build make swapping providers straightforward.
Yes. Pay $99 once and the course is yours, including all 5 current modules and every future bonus module — no subscription.
If you didn't finish the course and feel it is not up to scratch, drop us an e-mail at hello@bytesizego.com and we'll issue you a refund within 14 days.
43 lessons, four deployed projects, all future bonus modules included. Ready when you are.
The systems you'll build here run on Go's scheduler, memory model, and channels. This book explains all of it — nothing about Go left as magic.
Get the book — $45 →