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ai-eng-with-go

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Course materials for the "AI Engineering with Go" course

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- - go.mod
  - go.sum
  - main.go
- - .env.example
  - codeagent
  - go.mod
  - go.sum
  - main.go
  - tools.go
- - functioncalling
  - go.mod
  - go.sum
  - main.go
- - go.mod
  - go.sum
  - main.go
- - go.mod
  - go.sum
- - go.mod
  - go.sum
  - main.go
  - README.md
  - research.md
  - vecsearch
  - vector-search
- - settings.json
- - notes-api
- - config.go
- - knowledgeCheckDb.go
  - memoryDb.go
  - noteDb.go
  - quizDb.go
- - agentHandler.go
  - noteHandler.go
  - quizHandler.go
  - quizStoreHandler.go
- - server.go
- - agent.go
  - knowledgeCheck.go
  - memory.go
  - note.go
  - quiz.go
- - eval.sh
- - knowledgeCheckService.go
  - memoryService.go
  - noteService.go
  - noteService_test.go
  - quizStoreService.go
- - .gitignore
  - config.toml
- CLAUDE.md
- go.mod
- go.sum
- Makefile
- README.md
- - favicon.ico
  - index.html
  - logo192.png
  - logo512.png
  - manifest.json
  - robots.txt
- - App.css
  - App.js
  - App.test.js
  - index.css
  - index.js
  - logo.svg
  - reportWebVitals.js
  - setupTests.js
- .gitignore
- package-lock.json
- package.json
- README.md
- tailwind.config.js
- - todos-api
- - main.go
- - config.go
- - todoDb.go
- - todoHandler.go
- - todo.go
- - todoService.go
- - .gitignore
  - config.toml
- .env
- go.mod
- go.sum
- Makefile
- README.md
- upload-articles.sh
.gitignore
CLAUDE.md
README.md

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This repository contains the course materials for **AI Engineering with Go**, a hands-on course where I build a real project while teaching AI/LLM concepts using Go.

🎥 **Course Link:** https://www.bytesizego.com/courses/ai-engineering-with-go

## What's Inside

- **`examples/`** - Small applications demonstrating core LLM concepts with simple, focused examples
- **`flashcards/`** - The main project backend built throughout the course 
- **`flashcards-app/`** - React frontend for the flashcards project
- **`prjstart/`** - Go API template for starting your own backend projects

## Course Structure

The repository uses **branches as checkpoints** - at the end of most modules, I create a branch so you can access the materials at that specific point in the course.

The course includes video recordings of the entire development process, from concept explanation to implementation.

## Checkpoints for each module
You can find all the checkpoints of the project for each of the modules in the course in the following branches:
 - Module 1 - https://github.com/presmihaylov/ai-eng-with-go/tree/01_13_llm-streaming
 - Module 2 - https://github.com/presmihaylov/ai-eng-with-go/tree/02_04_polish
 - Module 3 - https://github.com/presmihaylov/ai-eng-with-go/tree/03_08_prod-deployment
 - Module 4 - TBD

## Reach out for feedback!
You can find me online if you want to share any feedback or just want to chat 👋
 - Twitter - https://x.com/PreslavMihaylov
 - Linkedin - https://www.linkedin.com/in/preslavmihaylov/