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Real-world Go
AI engineering

Tired of overhyped AI tutorials from people with no clue about backend engineering? Learn how to build production-grade LLM services. Designed for experienced Go backend engineers.

  • 🌍 Learn by building multiple real-world LLM-based projects
  • 📋 Build a coding agent, search engine and chatbot
  • ☑️ Understand Prompt Engineering, RAG, and Evals
  • 📊 Use state-of-art observability tools
  • 🔐️ Keep your LLM services secure

NOTE: The next sale of Real-World Go AI engineering will run in early 2026.
Join the wait list to get notified when it's available.

It's Hard To Learn Useful,
But Overhyped Technology

When technology is hot, you may meet many sorcerers promising that this technology will solve all your problems.

It's easy to get into the other extreme and think that AI is useless.

AI engineering is another backend element, like databases or message queues.

You wouldn't learn how to build backend services from a CPU Hardware Engineer. That's why you should learn using LLMs from expert backend engineers.

We won't scare you with "AI will take your job" or "AI is the future of programming". We'll show you where LLMs fit in your toolbox and solve real problems.

No hype, no buzzwords - just real solutions for real problems.

Laptop
Gopher of time

You can't buy time

It's rare to find high-quality learning materials. They're often inconsistent, outdated, or incomplete. (We've been there.)

Real-World Go AI engineering distills practical knowledge and years of experience. We focus on essential topics and filter out the noise to ensure you're productive right away.

Practical Gopher

Hands-On

You can't learn to drive a car from a book or a video, and writing software is the same.

This training is all about practice. To grasp the topics, you'll get your hands dirty with coding. If you prefer passively watching videos, you're on the wrong website.

Practical Gopher
Gopher of success

Real-world examples

Have you ever wondered why many tutorials use a coffee machine analogy? Proper examples require work.

Abstract or too simple examples leave you unprepared for real-world challenges. In Real-World Go AI engineering, you apply what you learn to a real-world project.

Stay in your environment. Use your favorite tools.

Our platform guides you through the training. It's a unique experience that helps you learn the fastest way possible: by doing. You won't learn this way anywhere else.

Work on real-life projects doesn't happen in the browser. We let you stay with your favorite tools. VS Code, GoLand, Vim, Emacs? It's up to you.

Inside our training


Based on the example of our Go Event-Driven training.

What graduates like about our platform?


avatar

The CLI tool they've got for hands-on exercises is a game-changer. The CLI tool functions like an interactive debugger, giving immediate feedback and validation as you work through coding exercises. I'm looking forward to using what I learned directly in my job.

The Discord community is also a big win. It's not every day you get to chat directly with the people who made the course. They're super helpful and quick to answer any questions. Also, they continuously take feedback and improve the course.

Damian Trzepała, Software Development Engineer
title
title

Created by

Robert Laszczak & Miłosz Smółka

Three Dots Labs logo Three Dots Labs founders

We are the authors of the Three Dots Labs blog, and our e‑book: Go With The Domain: Building Modern Business Software in Go. These are both some of the most popular resources about advanced programming patterns in Go.

We are also authors of the Watermill library, the most popular Go library for building event-driven and message-driven applications.

We worked in many fields, including infrastructure, complex and global financial domains, healthcare, and security. In the meantime, we've built a few startups and led multiple teams. It gave us a broad perspective on software development across different organizations.

We've been building projects together for over 17 years. In 2024, we switched to working full-time on training for experienced software engineers.

When we meet in our free time, we like to cook and eat some steaks and burgers.

Trusted by the Go community


270K+
blog visitors
unique per year
53K+
E-book downloads
17K+
Newsletter subscribers
12K+
GitHub stars
of our projects

We have been blogging, creating open-source projects, and writing an e-book for the past seven years. This work helped us get the trust of the Go community.

The best proof was that we sold 323 copies of Go Event-Driven in pre-sale without even starting work on it. In other words, over 300 people trusted us enough to pay more than $54k total on the promise that we'll deliver something they'll love.

Don't miss when the training is ready

Real-World Go AI engineering is not available yet. We are planning the release in early 2026. Usually, our training are available to buy for just two weeks, twice a year. Join the waiting list and be the first to know.