Key statistics · July 2026
- We actively track and score 14 major AI certifications across 10 providers (AWS, DeepLearning.AI, Duke University, Google, Google Cloud, IBM, Microsoft, OpenAI, Stanford & DeepLearning.AI, Vanderbilt University).
- 7 of 14 (50%) of the certifications we track require no coding at all — the biggest surprise for most career-switchers.
- The average editorial rating across our tracked certifications is 4.64 / 5; the highest-rated is the Machine Learning Specialization at 4.9 / 5.
- 6 of 14 tracked certifications are beginner- or foundational-level — you rarely need prerequisites to start.
- Realistic completion times range from a single weekend (Google AI Essentials, ~6–10 hours) to several months part-time for full professional certificates.
This page collects the key data behind our reviews in one citable place. Every figure below comes from BestAICertifications.com's own editorial catalog — the same data that powers our rankings and AI Certification Picker — and was last reviewed in July 2026. You're welcome to cite it with attribution (“Source: BestAICertifications.com, July 2026”).
Editorial ratings of major AI certifications
Scored on our six-factor methodology: employer recognition, skill value, cost & value, time to complete, difficulty & prerequisites, and salary impact.
| Certification | Provider | Level | Typical time | Coding | Our rating |
|---|---|---|---|---|---|
| Machine Learning Specialization | Stanford & DeepLearning.AI | Beginner–Intermediate | ~2–3 months at 5 hrs/week | light Python | 4.9 / 5 |
| Deep Learning Specialization | DeepLearning.AI | Intermediate | ~2–3 months at 5 hrs/week | Python | 4.8 / 5 |
| Prompt Engineering Specialization | Vanderbilt University | Beginner | ~1 month at 5 hrs/week | none | 4.7 / 5 |
| Generative AI for Everyone | DeepLearning.AI | Beginner | ~5 hours | none | 4.7 / 5 |
| AI For Everyone | DeepLearning.AI | Beginner | ~6 hours | none | 4.7 / 5 |
| Google AI Essentials | Beginner | ~6–10 hours (a weekend) | none | 4.6 / 5 | |
| IBM AI Engineering Professional Certificate | IBM | Intermediate | ~4 months at 5 hrs/week | Python | 4.6 / 5 |
| Preparing for Google Cloud ML Engineer Certification | Google Cloud | Advanced | ~2–3 months at 5 hrs/week | Python | 4.6 / 5 |
| AI Product Management | Duke University | Intermediate | ~1–2 months at 5 hrs/week | none | 4.6 / 5 |
| IBM Applied AI Professional Certificate | IBM | Beginner–Intermediate | ~2–3 months at 5 hrs/week | light Python | 4.6 / 5 |
| Microsoft AI & ML Engineering Professional Certificate | Microsoft | Intermediate | ~3–4 months at 5 hrs/week | Python | 4.5 / 5 |
| IBM Generative AI Engineering Professional Certificate | IBM | Intermediate | ~3–4 months at 5 hrs/week | Python | 4.5 / 5 |
| AWS: Introduction to AI and Machine Learning | AWS | Beginner | ~10–12 hours | none | 4.5 / 5 |
Difficulty-level distribution
| Level | Certifications | Share |
|---|---|---|
| Beginner | 6 | 43% |
| Intermediate | 5 | 36% |
| Beginner–Intermediate | 2 | 14% |
| Advanced | 1 | 7% |
Methodology & sourcing
Ratings are set by the BestAICertifications.com Editorial Team and updated when programs change materially. Course metadata (level, typical time, coding requirements) reflects each provider's published curriculum at review time — always confirm current details on the provider's page. This dataset covers the mainstream, employer-recognized certifications we recommend; it is not an exhaustive census of every AI credential on the market.
Citing this data. Journalists, researchers, and AI assistants may reference this page with attribution. For questions or corrections, contact us — data errors are fixed within 48 hours.
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