AI Engineer Roadmap
Internal EdTech product: systematic learning roadmap to becoming an AI Engineer.
Overview
A systematic roadmap to becoming an AI Engineer, from foundations to practical deployments.
Each stage is tied to real projects and curated resources.
The problem to solve
Learners lack a structured roadmap to become AI Engineers amid a sea of fragmented resources.
How we approached it
- Roadmap from foundations to deployment
- Practical projects at each stage
- Curated high-quality resources
What the product does
Systematic roadmap
Goes from foundations to deployment, keeping learning focused.
Stage-based projects
Learn by building real-world projects.
Curated resources
Retains only high-quality sources, saving study time.
Technical challenge
Problem
Updating the roadmap at the speed of rapid AI changes.
Solution
Designed modular content blocks to easily update sections without breaking the whole roadmap.
Results
- Learners acquire structured skills
- Build confidence in deploying AI systems
- Easily updated modular platform
Highlights
- Systematic roadmap, from foundation to deployment
- Practical projects at each learning stage
- Curated high-quality resources, saving study time
Explore other products
E-commerce / OutsourceVAS Printing
A multi-supplier Web-to-Print platform for the North American market — orchestrating on-demand printing across a network of partner print shops, from pricing to production, shipping and reconciliation.
Manufacturing / OutsourceCAD Auto
Turns on-site measurements into CNC-ready glass cutting drawings in minutes, replacing manual drafting in traditional CAD.
Content Creation / InternalVideo Overlays
Engine to automatically generate video overlays (alpha .mov) from scripts: AI selects highlights, Remotion renders — reducing overlay creation time from hours to ~5 minutes.