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London, United Kingdom · Study online with LSBA

AI Project Quality Assurance

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Overview

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Learning outcomes

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Course content

1

Data Validation

2

Model Evaluation

3

Ai Testing Protocols

4

Quality Control Measures

5

Algorithmic Assessment

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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Learn on your time
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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The AI Project Quality Assurance course perfectly aligned with my goal of leading QA initiatives for AI‑driven products. The modules on bias detection and model validation gave me a concrete framework that I immediately applied to a pilot project at my company, reducing false‑positive rates by 12%. The case studies and downloadable check‑lists were up‑to‑date and directly relevant to industry standards. Overall, the learning experience was seamless, and I feel fully equipped to raise the quality bar for our AI deployments.

SL
Sophie Laurent
CA · Course completed

I signed up for this course because I wanted to get my hands on real‑world QA techniques for AI. The lessons were easy to follow and the video demos helped me understand how to set up automated testing pipelines. One thing I loved was the hands‑on lab where we built a simple model‑monitoring dashboard – I actually used that same dashboard at my startup to catch data drift early. The material was fresh and the instructor was quick to answer questions, making the whole thing feel very practical.

FW
Felix Wagner
DE · Course completed

Wow! This course exceeded my expectations. I was looking for ways to integrate quality checks into our AI development cycle, and the detailed walkthrough of risk assessment matrices gave me exactly the tools I needed. I especially appreciated the segment on explainability, where we practiced generating SHAP plots for a classification model – a skill I now showcase in client presentations. The resources (templates, reading lists) were top‑notch, and the interactive quizzes kept me engaged. I’m thrilled with the results and would recommend it to anyone serious about AI QA.

KT
Kenji Tanaka
JP · Course completed

The AI Project Quality Assurance program offered a comprehensive, step‑by‑step guide to establishing robust QA processes. I was able to map the course’s risk‑based testing framework directly onto a machine‑learning project I was handling at my firm, which helped us identify three critical failure points before deployment. The supplemental PDFs covered the latest regulatory guidelines, which were invaluable for compliance work. The instructor’s thorough explanations and the detailed lab exercises made the learning experience both rigorous and rewarding.





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May 2026