AI Engineer Roadmap · AI-v30.1 · 2026

AI Engineer — broad core first, specialize later.

This edition contains only the AI Engineer path from the full engineering roadmap. Build the broad production-AI core, then activate one specialization focus when its recommended foundations are ready.

Step 1

AI Engineer path

Broad production AI: ML/DL, LLMs, agents, APIs, evaluation, security, cloud deployment and observability. Specialist depth is optional at first and can be activated later.

Base profile: AI Engineer. There is no separate career selector in this edition. Shared software, SQL, backend, cloud and data capabilities remain only where they support real AI engineering.

Current specialization focus optional

Choose a specialization when its foundations are sufficiently solid. You can change focus later without losing evidence.

AI Engineer0 required gates

Step 2

Your progress0 / 0

0 stepsrequired for your selected job

—rough study time remaining

0 changing topicstools or technologies that may need future updates

Check a step when you can actually do it. This is your roadmap progress, not a job-readiness score.

How progress works

If you already know a skill, open its details and prove it with the suggested check instead of repeating a course. The progress bar weights ordinary capabilities, project gates and flagship projects differently so major build evidence counts more without hiding the raw gate count. Professional experience is tracked separately. Time estimates are only rough planning guides.

Simple guide

How to use this roadmap

1. Start with the broad AI Engineer core in My roadmap. 2. Build the required projects and prove skills with the self-checks. 3. Activate one specialization focus when its readiness foundations are solid. 4. Use Full roadmap for recommended and optional depth related to AI Engineering.

What is “Full roadmap”?

It shows the complete AI Engineer map for the broad core plus your active specialization: required steps, projects, experience, recommended next depth and relevant optional/advanced topics. Unrelated careers are not included in this edition.

What does the link inside Details mean?

Open Details first. It now tells you whether the link is a course, certification exam, university self-study page, official documentation, book, project reference or professional framework; whether you need to enroll; and whether any certificate is optional. A linked provider is usually a learning resource, not automatically a required credential.

Can I skip a course I already know?

Yes. Open the step and use its suggested practical check. The roadmap cares about what you can do, not whether you repeated a specific course.

What should I do first?

Start with the AI Engineer core and click Next step. Add a specialization or optional focus only after the main path is moving well.

Certification catalog

Credentials are optional unless a roadmap step explicitly says otherwise; projects and demonstrated skill remain the primary evidence. By default this section shows credentials relevant to your selected path. Missing official links are intentionally not guessed.