AI for Software Developers Certification
Tests how developers use AI assistants and LLM APIs — code generation, review, testing, debugging, integrating models into apps and keeping code secure and correct. Pass to earn AI for Software Developers SOA-AISE.
- Intermediate difficulty.Assumes hands-on experience in the role.
- 15 scenario questions
- 15 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 AI for Software Developers Certification?
The AI for Software Developers Certification is a free 15-minute skill test from Science of Apps. It tests how developers use AI assistants and LLM APIs — code generation, review, testing, debugging, integrating models into apps and keeping code secure and correct. Score 70% or more on its 15 questions to earn a verifiable AI for Software Developers certificate (SOA-AISE). Every question is based on published standards and research — including Claude Code overview (Anthropic), Google Engineering Practices: Code Review (Google), OWASP Top 10 for LLM Applications (OWASP) — and each answer is explained with its source.
Built for your job title
Software developer, Full-stack developer, Back-end engineer, Front-end engineer and Engineering student — and anyone who wants quick, verifiable proof of AI for Software Developers skills for a CV or LinkedIn.
- Software developer
- Full-stack developer
- Back-end engineer
- Front-end engineer
- Engineering student
Land the job, not just the certificate
Career guide · 8 min readAI skills for software developers in 2027: coding with assistants, building with LLM APIs, agents and MCP — while keeping code secure and correct
AI skills developers need in 2027: coding with AI, reviewing AI code, building with LLM APIs and structured outputs, agents, MCP, security and evals.
Read the hiring playbook →What the test covers
Three skill areas with 5 questions each, drawn from a bank of 10 per area, so a retake brings questions you haven't seen.
- 01
Coding with AI
33%- Generating and refactoring code
- Tests and debugging
- Reviewing AI code
- 02
Building with LLMs
33%- APIs and structured outputs
- Security and secrets
- Cost, latency and evals
- 03
AI agents and tooling
33%- Coding agents
- MCP and tool use
- Repository context
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:
- Claude Code overviewAnthropic6 questions
- Google Engineering Practices: Code ReviewGoogle4 questions
- OWASP Top 10 for LLM ApplicationsOWASP3 questions
- OWASP Cheat Sheet SeriesOWASP3 questions
- GitHub Copilot documentationGitHub Docs2 questions
- Response Times: The 3 Important LimitsNielsen Norman Group2 questions
- OWASP Top 10OWASP1 question
- Prompt engineering overviewAnthropic1 question
- Prompt engineering guideOpenAI1 question
- Define success criteria and build evaluationsAnthropic1 question
- Site Reliability EngineeringGoogle1 question
- What is GDPR?GDPR.eu1 question
- Model Context Protocol introductionAnthropic / MCP1 question
- Pull requests documentationGitHub Docs1 question
- SP 800-207: Zero Trust ArchitectureNIST1 question
- Pro Git bookgit-scm.com1 question
Try a sample question
What's the safest way to adopt an AI coding assistant on a team?
- Disable code review for AI code
- Let it push directly to main
- Use it only on secrets files
- Use it with normal code review, tests and security scanning
Show the answer
D. Use it with normal code review, tests and security scanning — Existing quality gates keep AI-assisted code safe. The real test has 15 questions like this.
How the test works
15 minutes, 15 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 15-minute test
- 2Score 70% or more
- 3Click Add to LinkedIn

AI for Software Developers
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Frequently asked questions
What is the AI for Software Developers Certification?
The AI for Software Developers Certification is a free 15-minute skill test from Science of Apps. It tests how developers use AI assistants and LLM APIs — code generation, review, testing, debugging, integrating models into apps and keeping code secure and correct. Score 70% or more on its 15 questions to earn a verifiable AI for Software Developers certificate (SOA-AISE). Every question is based on published standards and research — including Claude Code overview (Anthropic), Google Engineering Practices: Code Review (Google), OWASP Top 10 for LLM Applications (OWASP) — and each answer is explained with its source.
How do I take the AI for Software Developers Certification for free?
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 AI for Software Developers certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.
Are the AI for Software Developers 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: Claude Code overview (Anthropic); Google Engineering Practices: Code Review (Google); OWASP Top 10 for LLM Applications (OWASP); OWASP Cheat Sheet Series (OWASP); GitHub Copilot documentation (GitHub Docs); Response Times: The 3 Important Limits (Nielsen Norman Group). 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 AI for Software Developers Certification cover?
Three skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Coding with AI (Generating and refactoring code, Tests and debugging and Reviewing AI code); Building with LLMs (APIs and structured outputs, Security and secrets, Cost and latency and evals); AI agents and tooling (Coding agents, MCP and tool use and Repository context). Every question is an original scenario based on a published standard, official documentation or research, named under the question.
Who should take the AI for Software Developers Certification?
Software developer, Full-stack developer, Back-end engineer, Front-end engineer and Engineering student. It suits anyone who wants a quick, verifiable way to show AI for Software Developers skills, from students and career switchers to experienced professionals.
Can I take the AI for Software Developers 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 AI for Software Developers Certification?
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.
How hard is the AI for Software Developers Certification?
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.
How do I prepare for a Software developer job?
Developers in 2027 are expected to do two things with AI: code with assistants and agents productively — generating, testing, debugging and reviewing — and build AI into applications with LLM APIs, structured outputs, tools and evaluation, while keeping code secure and correct. Employers hire developers who verify AI output and can ship LLM features safely. Build one LLM-powered feature with tests and evals and confirm the skills with a free test. Our full career guide covers the hiring process, interview loop, pay and a prep plan: scienceofapps.com/blog/ai-for-software-developers-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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