Machine Learning Fundamentals Certification

The Machine Learning Fundamentals Certification is a free 15-minute skill test from Science of Apps. It tests ML basics — supervised vs unsupervised learning, features and labels, train/validation/test splits, overfitting, common algorithms and when ML is the right tool. Score 70% or more on its 15 questions to earn a verifiable Machine Learning Fundamentals certificate (SOA-MLF). Every question is based on published standards and research — including Machine Learning Crash Course (Google for Developers), AI Risk Management Framework (NIST), People + AI Guidebook (Google PAIR) — and each answer is explained with its source.

Read the three skill areas on this page, then take the 15-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a Machine Learning Fundamentals certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.

Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: Machine Learning Crash Course (Google for Developers); AI Risk Management Framework (NIST); People + AI Guidebook (Google PAIR); Machine Learning Crash Course: Precision and recall (Google for Developers); Site Reliability Engineering (Google). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.

Three skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Core concepts (Supervised vs unsupervised, Features and labels and Common algorithms); Training well (Data splits, Overfitting and regularisation and When to use ML); ML in production (Deployment and serving, Monitoring and drift and Responsible ML). Every question is an original scenario based on a published standard, official documentation or research, named under the question.

Data scientist, Machine learning engineer, Data analyst, Software engineer and Student. It suits anyone who wants a quick, verifiable way to show Machine Learning Fundamentals skills, from students and career switchers to experienced professionals.

Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.

15 questions — 5 from each of 3 skill areas — with a 15-minute limit. You need 70% (11 of 15) to pass and 90% for distinction.

We rate it Intermediate: assumes hands-on experience in the role. It has 15 scenario questions — 5 from each of 3 skill areas — and a 15-minute limit. You need 70% (11 of 15) to pass and 90% for distinction.

To get a machine learning job in 2027, show you can take a model from data to production and know when ML is the wrong tool: solid fundamentals (splits, overfitting, metrics), clean Python, one project deployed and monitored, and the judgement to compare against a simple baseline. Rehearse ML system design, target product firms, GCCs and AI startups, and expect ML engineer pay in India of about ₹12.6–13.9 lakh typical. Our full career guide covers the hiring process, interview loop, pay and a prep plan: scienceofapps.com/blog/machine-learning-career-guide/

Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.

On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.

You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.

No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.

Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.

Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.

No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.