AI Certification Roadmap 2026
Start simple, build real AI skills
AI looks overwhelming because people start with tools and skip fundamentals. This roadmap keeps it practical: learn concepts, master a clean fundamentals baseline, then pick a framework track when you're ready.
🟢 Level 0 — Absolute beginner
Learn what AI actually is: models, data, training vs inference, bias/overfitting, and basic evaluation. Keep it practical.
- AI vocabulary
- Data basics
- Evaluation basics
Goal: Understand core concepts without confusion.
🟡 Level 1 — Fundamentals baseline (your first milestone)
Start with a structured fundamentals track. This gives you a clean map of concepts before frameworks.
- AI Fundamentals
Goal: Build a solid mental model of AI/ML and real-world use cases.
🟠 Level 2 — Framework track (hands-on)
Once fundamentals are solid, move into a framework track. For now, TensorFlow is your active certification path.
- TensorFlow (certification track)
Goal: Start thinking like a practitioner: patterns, metrics, typical pitfalls.
🔴 Level 3 — Specialization (later)
Specialize only after fundamentals + one framework: NLP, Computer Vision, or MLOps depending on your goals.
- NLP
- Computer Vision
- MLOps
Goal: Build depth and portfolio-worthy practice over time.
💰 AI salary outlook (2026)
Typical global ranges (highly dependent on country, company and seniority). Use this as orientation, not a promise.
Entry-level
$55k–$85k
Mid-level
$90k–$130k
Senior / Specialist
$140k+
Disclaimer: ranges vary widely. Certifications help most when combined with real projects and consistent practice.
🔍 Fundamentals vs Framework — what first?
Many people jump straight into frameworks and get lost. A fundamentals baseline makes everything easier and faster afterwards.
| Fundamentals first | Framework first | |
|---|---|---|
| Speed | Faster long-term | Fast start, slow progress later |
| Clarity | Clear mental model | Confusing concepts |
| Outcome | Stable skills | Tool-dependent knowledge |
Recommendation
Start with AI Fundamentals. Then move to TensorFlow when the basics feel natural.
FAQ
Do I need math to start AI?
Not much at first. Start with concepts and practice. Add math gradually when you hit limits.
What should I do first on CertifyQuiz?
Start with the AI Fundamentals quiz, then explore the TensorFlow certification page when you're ready.
Can certifications alone get me a job?
They help, but projects matter. Use certifications to structure learning, then build small portfolio projects.
🚀 Start now (no overthinking)
Open the AI Fundamentals quiz and practice consistently. When the basics are solid, move to TensorFlow for the hands-on track.