Name: AI Engineering with Go
Price: 79 USD
Availability: InStock

Who said AI applications had to be built in Python?

In this course, 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.

🎯 Build 3+ complete AI projects and deploy them.
🚀 Master LLM APIs (OpenAI, Claude) with Go integration
📊 Implement vector databases, embeddings, and semantic search
🔧 Build function calling and structured LLM interactions
⚡ Deploy AI applications to production with proper architecture
🤖 Create turn-based AI systems and intelligent content processing

What's in This AI Engineering Course?

Early Access: The first 3 modules are available immediately when you purchase. Additional modules will be released regularly, and you'll get them all for free as part of your early access purchase!

Module 1: Building your first production AI app Available Now

Project Overview

Setting Up Your Development Environment

Initializing Project From Template and Deploying

Introducing the Project and Building Basic Flashcards App

Making the First LLM Call

Adding AI to Our Project

Scaffolding our API to make LLM Calls

Improving our Prompts

Building the Frontend

Deploying the Frontend

Ingesting Real Notes

Polishing the Project

Wrap Up and Challenges

BONUS: LLM Streaming

Module 2: Function Calling — Structured LLM Actions Available Now

Project Overview

Function Calling Intro

Using Function Calls in Projects Part 1

Using Function Calls in Projects Part 2

Implementing the Frontend

Adding Polish

Module 3: Using Vector Databases Available Now

Project Intro

Introduction to Vector DBs

Vector DB Example and Demo

Vector DB Crash Course

Quiz v2 - API Scaffold

Index Notes

Implementing Our New Quiz API

Frontend and Polish

Deploying to Production

Module 4: Building AI Agents Coming Soon

Introduction to AI Agents

Building a Learning Management Agent

Agent Memory and State Management

Implementing Study Reminders

Performance Analysis and Recommendations

Agent Decision Making and Planning

Additional Bonus Modules Coming Soon! Coming Soon

Additional advanced bonus modules covering topics like observability, fine-tuning, guardrails, and more will be added regularly. All future modules are included with your early access purchase!

About the Course Author

Preslav Mihaylov 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. His expertise in scalable backend architecture directly translates to building production-ready AI applications that can handle real-world workloads.

Preslav has been involved as a technical trainer in various education initiatives since 2015, most recently as the lead trainer at Trading212 for building and leading their advanced software engineering bootcamp. This extensive teaching background, combined with his production systems experience, makes him uniquely qualified to teach developers how to build AI applications that actually work in the real world.

AI Engineering with Go