๐Ÿ›ก๏ธ Certification Path

Certified AI Testing Certification

The Certified AI Testing Professional is a GSDC (Global Skill Development Council) certification for software testers who need to test machine learning and AI systems. This self-paced AI testing course from NovelVista takes you through the full ML model lifecycle: understanding how models learn, validating them for underfitting and overfitting during engineering, running functional and API tests on AI outputs including ChatGPT, checking for bias and fairness before release, and monitoring for drift in production. The introduction and Module 1 are free, so you can judge the teaching before paying anything.

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Why This Skill Matters Now

AI testing is the practice of verifying that machine learning models and AI systems behave correctly, fairly and reliably at every stage of their lifecycle, and it requires techniques that traditional software testing does not cover. QA teams in 2026 are being asked to do three things most testers have never been trained for.

Know when a model is ready to ship

An ML model isn't finished when the code compiles; it's finished when it's trained enough to predict correctly on data it hasn't seen. You learn to spot underfitting and overfitting from validation results and tell developers when to add data, simplify the model, or stop training.

Test outputs that have no single right answer

Models like ChatGPT, spam filters and recommendation engines give predictions, not fixed results. You learn functional testing types built for this: validating predictions, checking cluster assignments, testing model APIs, and applying responsible-AI checks for bias, fairness and inappropriate language before release.

Keep a model healthy after it goes live

A traditional app that passed QA stays passed. An ML model degrades as real-world data shifts. You learn post-deployment testing for latency, load and drift, and how to monitor performance in production and feed defects back to the team.

What you take away from this AI testing course

Learners in the Certified AI Testing Professional course complete four practical deliverables that mirror what QA produces on a real ML project: a lifecycle test plan, a model validation report, a model API test collection, and a release-and-monitoring checklist. Each one is something you can show a hiring manager or reuse on your own project.

An ML lifecycle test plan

A stage-by-stage plan mapping QA responsibilities from data preparation through production: what to test in model engineering, what functional testing happens at evaluation, and what continues after deployment. This is the document most teams starting AI projects don't have.

Evaluation Pipelines

Using the house-price prediction model from the course, you assess prediction-vs-actual results, identify whether the model is underfit, overfit or a good fit, and write the recommendation you'd hand to developers: add data, add features, reduce complexity, or stop training.

A model API test collection

A Postman collection that calls a live model endpoint (the course uses the ChatGPT API), validates the responses, and can be re-run as a regression check. You learn how to script assertions for outputs that vary between runs.

โญ Curriculum Overview

AI testing course curriculum

Track your mastery seamlessly as you progress through each stage.

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IntroductionFree access
Introduction to Machine Learning Models (AI) Testing
Introduction ยท 2 videos
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Module 01Free access
Types and Functional Testing
Theory & Resources ยท 3 videos
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Vikas Sharma
Learn From Practitioners

Vikas Sharma

Program Lead, NovelVista Learning Solutions

Vikas Sharma has 23 years of experience in IT service delivery and quality, is a Six Sigma Green Belt, and is an accredited trainer in DevOps, ITIL 4 and Agile Scrum. He has trained more than 11,000 professionals and oversees the structure, assessments and learner support for the Certified AI Testing Professional program at NovelVista. His focus is that every module produces a skill you can use at work, not just a topic you have covered.

โœ“ Practitioner-ledโœ“ Hands-on guidanceโœ“ Real-world implementation
๐Ÿ‘ฅ Elite Network & Support

Learn With a Professional Community

AI testing course includes an AI tutor inside each module, a human learning support team, and lifetime access to a private alumni community. Self-paced does not mean alone.

Help inside every moduleEach module has an AI tutor you can ask at any time for a hint, an explanation of a concept, or help understanding a demo you didn't follow. If you are still blocked, the learning support team picks it up.
A private community that stays open after you finishEvery enrolled learner gets lifetime access to the alumni community: compare how you assessed a model's fit, ask how other testers approached the same case study, and keep using it when these problems appear on your real AI projects.
Everything you need to pass and then get hiredTwo full practice exams before the GSDC exam. A guide to the 100 most-asked AI testing interview questions. A resume and portfolio template built around the four deliverables you complete in this course.
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โ€œThe strongest outcome of a professional course is being able to apply the learning to a real problem, explain the result clearly and repeat the process with confidence.โ€

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Professional Bonuses

Enroll and get access to career-accelerating resources.

Top 100 Interview Questions

A comprehensive PDF of technical questions commonly asked by leading companies. ($99 Value)

Resume & Portfolio Guide

Templates and strategies to highlight practical project and lab experience. ($149 Value)

Private Alumni Community

Lifetime access to networking, peer learning, and career opportunities. (Priceless Value)

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Enrollment Capacity: Limited support capacity is available for personalized practical guidance.

Basic Access

The Certified AI Testing Professional course costs ($199) as a one-time payment, and Module 1 is free with no card required.

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