Powered by AISKOOL
The AI Engineer Bootcamp
A hands-on journey from Python fundamentals through embeddings, transformers, and fine-tuning all the way to deploying production AI services — everything a modern AI engineer needs to build and ship real-world models.
4 sections·14 lessons
What you'll learn
1. Python for AI Engineering
- Why Python Dominates AI
- Vectorised Thinking with NumPy
- How Neural Networks See Data
- Async Python for AI APIs
2. Embeddings and the Transformer Architecture
- Embeddings: Teaching Machines to Understand Meaning
- The Attention Mechanism Visualised
- Inside the Transformer: Attention Is All You Need
3. LLM APIs and Fine-Tuning
- Mastering LLM APIs: From Hello World to Production
- Fine-Tuning: When Prompting Isn't Enough
- Building a RAG Pipeline
- Knowledge Check: Embeddings, APIs & Fine-Tuning
4. Deploying AI Services to Production
- Serving Models with FastAPI
- AI Service Deployment Architecture
- Containerising and Shipping AI Services
Share this course