Overview
The AI Engineer role has emerged as one of the most in-demand positions in tech. Unlike ML researchers who push the frontier, AI Engineers apply existing models to real products. You will learn to evaluate and select foundation models, design prompt architectures, integrate APIs, build evaluation pipelines, and deploy systems that stay reliable in production.
Prerequisites
✓Python fundamentals
✓REST APIs
✓Basic cloud (AWS/GCP/Azure)
✓Git
Skills you'll develop
Learning paths
Capstone projects
Project 01
Build a multi-tool AI assistant
Project 02
RAG knowledge base with evaluation
Project 03
Production prompt versioning system