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aicertdirectory.com

Find the right AI certification
faster.

A curated directory of official AI credentials — certifications, certificate courses, learning paths, and badges — compared by provider, level, price, and duration.

Built from official provider sources. No spam. Unsubscribe anytime.

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Currently tracking sources from:
Microsoft · AWS · Google Cloud · NVIDIA · OpenAI · Anthropic · Oracle · IBM · TensorFlow · Hugging Face
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Compare vendors and ecosystems
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01 · What a record looks like

Directory records, not course listings.

Every entry links directly to the official provider page. Fields are extracted and normalized across providers so you can compare what actually matters.

AWS Certification
AWS Certified Machine Learning – Specialty
Exam Code MLS-C01
Level Specialty
Price $300
Duration 2–4 mo.
Verified Apr 2025
Confidence High
sagemaker machine-learning exam-required aws
Official source · aws.amazon.com
Google Cloud Certification
Professional Machine Learning Engineer
Exam Code PMLE
Level Professional
Price $200
Duration 3–6 mo.
Verified Apr 2025
Confidence High
vertex-ai bigquery-ml exam-required gcp
Official source · cloud.google.com
Hugging Face Learning Path
NLP Course: Transformers & Hugging Face
Exam Code —
Level Intermediate
Price Free
Duration ~40 hrs
Verified Mar 2025
Confidence Medium
nlp transformers no-exam self-paced
Official source · huggingface.co

Sample records shown for illustration. Confidence and last-verified fields are present on all directory entries.

02 · Use cases

Built for how professionals actually choose credentials.

01

Choose your next credential

Filter by role, level, provider, and type. See what's available before you commit time or money.
02

Compare provider ecosystems

Side-by-side view of Azure, AWS, and GCP credential tracks — price, depth, exam requirements, and scope.
03

Track new AI credentials

The landscape changes fast. We track additions, retirements, and updates directly from official provider pages.
04

Plan team training paths

Build structured paths for engineers, data teams, or cross-functional groups using real, sourced credentials.
05

Separate certifications from courses

Clear type labels — certification, certificate course, applied skill, badge, learning path — so you know exactly what you're evaluating.
06

Find credentials by role and level

ML engineers, cloud architects, and data scientists need different paths. Filter to what's actually relevant for you.
03 · Coverage

Where we source credentials from.

Currently tracking official certification and credential pages from the following providers. Coverage depth varies by provider and credential type. Each record carries a last-verified date and confidence indicator so you know how current the data is.

MSFT Microsoft
AWS Amazon Web Services
GCP Google Cloud
NVDA NVIDIA DLI
OAI OpenAI
ANTH Anthropic
ORC Oracle
IBM IBM
TF TensorFlow
HF Hugging Face
04 · How it works

Built on official sources, not aggregator noise.

Records are sourced directly from official provider certification and credential pages, then normalized into comparable fields. We don't aggregate third-party course sites or unverified descriptions.

◈

Official source provenance

Every directory record links back to the official provider page it was sourced from — not a course marketplace, affiliate site, or secondhand description.
⊞

Normalized fields for comparison

Credential type, level, exam code, price, and estimated duration are extracted and standardized across providers so you can make genuine comparisons.
↻

Verified dates and confidence

Each record shows when it was last checked and a confidence indicator. Stale or uncertain entries are flagged visibly, not silently kept in rotation.
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Built from official provider sources · aicertdirectory.com