Generative AI Fundamentals Certification
Tests the core concepts behind generative AI — models, tokens, context windows, prompts, multimodal inputs, grounding and common limitations — in plain, job-ready terms. Pass to earn Generative AI Fundamentals SOA-GAIF.
- Beginner difficulty.No experience needed: fundamentals and clear reasoning.
- 10 scenario questions
- 10 minutes, timed
- 70% to pass · 90% for distinction
- Free no sign-up needed
- LinkedIn-ready · add it to your profile in one clickSee how ↓
What is the Generative AI Fundamentals Certification?
The Generative AI Fundamentals Certification is a free 10-minute skill test from Science of Apps. It tests the core concepts behind generative AI — models, tokens, context windows, prompts, multimodal inputs, grounding and common limitations — in plain, job-ready terms. Score 70% or more on its 10 questions to earn a verifiable Generative AI Fundamentals certificate (SOA-GAIF). Every question is based on published standards and research — including Prompt engineering overview (Anthropic), Machine Learning Crash Course (Google for Developers), What is retrieval-augmented generation? (IBM) — and each answer is explained with its source.
Built for your job title
Business analyst, Marketer, Product manager, Student and Consultant — and anyone who wants quick, verifiable proof of Generative AI Fundamentals skills for a CV or LinkedIn.
- Business analyst
- Marketer
- Product manager
- Student
- Consultant
Land the job, not just the certificate
Career guide · 9 min readGenerative AI skills employers want in 2027: tokens, context, grounding and the plain-language fundamentals every role now needs
Generative AI skills employers want in 2027: tokens, context windows, grounding, temperature and limits explained, with interview answers and a plan.
Read the hiring playbook →What the test covers
Two skill areas with 5 questions each, drawn from a bank of 10 per area, so a retake brings questions you haven't seen.
- 01
Core concepts
50%- Tokens and context windows
- Models and modalities
- Training vs inference
- 02
Getting reliable results
50%- Prompting and grounding
- Temperature and variability
- Limits and risks
Based on published standards
The questions are original scenarios, and each one names the public standard, official guide or research it draws on — shown under the question while you answer, and linked in your review. These are the sources behind this test:
- Prompt engineering overviewAnthropic5 questions
- Machine Learning Crash CourseGoogle for Developers4 questions
- What is retrieval-augmented generation?IBM3 questions
- AI Risk Management FrameworkNIST2 questions
- Prompt engineering guideOpenAI2 questions
- Prompt design strategiesGoogle AI for Developers1 question
- Prompt Engineering GuideDAIR.AI1 question
- A Survey on Hallucination in Large Language Models (2023)Huang et al.1 question
- OWASP Top 10 for LLM ApplicationsOWASP1 question
Try a sample question
You paste a 300-page manual into a chatbot and it ignores the first chapters. What's the likely cause?
- The model dislikes manuals
- Chapters must be in bold
- The model only reads the end of files by design
- The text exceeded the model's context window
Show the answer
D. The text exceeded the model's context window — If input exceeds the context window, parts are cut or forgotten. Split or summarise long documents. The real test has 10 questions like this.
How the test works
10 minutes, 10 questions
One question per screen, with a progress bar and a countdown. Your progress is saved on this device if you need to pause.
Graded on our server
Answers reach the page only after you submit, so the certificate can only be earned by passing.
Every answer explained
Pass or not, you see every question with the right answer, why, and the source behind it. Pass mark 70%, distinction 90%.
Your certificate
Founder-signed, with a QR code and credential ID. Download PDF or PNG, add to LinkedIn, and it's emailed to you.
What you earn

Pass, then add it to LinkedIn in one click
No typing. The Add to LinkedIn button opens your profile’s Licenses & certifications form already filled in: the certificate name, Science of Apps as the issuer, the issue date, your credential ID and a link recruiters can use to verify it.
- 1Take the 10-minute test
- 2Score 70% or more
- 3Click Add to LinkedIn

Generative AI Fundamentals
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Frequently asked questions
What is the Generative AI Fundamentals Certification?
The Generative AI Fundamentals Certification is a free 10-minute skill test from Science of Apps. It tests the core concepts behind generative AI — models, tokens, context windows, prompts, multimodal inputs, grounding and common limitations — in plain, job-ready terms. Score 70% or more on its 10 questions to earn a verifiable Generative AI Fundamentals certificate (SOA-GAIF). Every question is based on published standards and research — including Prompt engineering overview (Anthropic), Machine Learning Crash Course (Google for Developers), What is retrieval-augmented generation? (IBM) — and each answer is explained with its source.
How do I take the Generative AI Fundamentals Certification for free?
Read the two skill areas on this page, then take the 10-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 Generative AI Fundamentals certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.
Are the Generative AI Fundamentals Certification questions based on real standards?
Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: Prompt engineering overview (Anthropic); Machine Learning Crash Course (Google for Developers); What is retrieval-augmented generation? (IBM); AI Risk Management Framework (NIST); Prompt engineering guide (OpenAI); Prompt design strategies (Google AI for Developers). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.
What does the Generative AI Fundamentals Certification cover?
Two skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Core concepts (Tokens and context windows, Models and modalities and Training vs inference); Getting reliable results (Prompting and grounding, Temperature and variability and Limits and risks). Every question is an original scenario based on a published standard, official documentation or research, named under the question.
Who should take the Generative AI Fundamentals Certification?
Business analyst, Marketer, Product manager, Student and Consultant. It suits anyone who wants a quick, verifiable way to show Generative AI Fundamentals skills, from students and career switchers to experienced professionals.
Can I take the Generative AI Fundamentals Certification from any country?
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/.
How long is the Generative AI Fundamentals Certification?
10 questions — 5 from each of 2 skill areas — with a 10-minute limit. You need 70% (7 of 10) to pass and 90% for distinction.
How hard is the Generative AI Fundamentals Certification?
We rate it Beginner: no experience needed: fundamentals and clear reasoning. It has 10 scenario questions — 5 from each of 2 skill areas — and a 10-minute limit. You need 70% (7 of 10) to pass and 90% for distinction.
How do I prepare for a Business analyst job?
Employers in 2027 want non-engineers who understand generative AI well enough to use and discuss it accurately: what models, tokens and context windows are, the difference between training and inference, why grounding beats trusting memory, how temperature changes output, and the main risks. This vocabulary now appears in analyst, marketing, product and consulting interviews. Learn it in plain terms and verify it with a short free test. Our full career guide covers the hiring process, interview loop, pay and a prep plan: scienceofapps.com/blog/generative-ai-fundamentals-career-guide/
How much do Science of Apps certifications cost?
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.
How are the tests graded?
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.
What happens if I don't pass?
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.
Do the certificates expire?
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.
Can I add the certificate to LinkedIn?
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.
How can an employer verify my certificate?
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.
Are these accredited qualifications?
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.
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