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AI and Ethics

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Overview

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Learning outcomes

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Course content

1

Foundations Of Ai Ethics

2

Bias And Fairness In Machine Learning

3

Privacy And Data Governance

4

Accountability And Transparency In Ai

5

Regulatory And Policy Frameworks

Career Path

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Key facts

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Why this course

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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
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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 Kingdom
ST
Sarah Thompson
GB · Course completed

Honestly, this course was a great mix of theory and real‑world stuff. I signed up because I wanted to understand the ethical side of AI before we rolled out a new chatbot at work, and the lessons on data privacy and bias detection were spot on. The video demos of how to audit an algorithm were super helpful – I actually used the checklist in a pilot project and caught a bias issue before it went live. The course material was well‑structured, with plenty of examples from European regulations, which made it feel relevant to my role. Overall, I left feeling equipped and motivated to push ethical AI practices at my company.

MC
Michael Carter
US · Course completed

The AI and Ethics course at Stanmore School of Business exceeded my expectations. The curriculum was tightly aligned with my goal of integrating ethical guidelines into our company's AI roadmap. I especially appreciated the practical framework for ethical AI governance, which I have already applied to draft a responsible‑use policy for our predictive analytics team. The case studies on facial‑recognition bias and the risk‑assessment matrix gave me hands‑on tools I could implement immediately. All the reading materials were up‑to‑date and clearly referenced industry standards, making the learning experience both rigorous and relevant. I feel confident that the knowledge I gained will drive better, more responsible AI solutions in my organization.

AP
Ananya Patel
IN · Course completed

I’m thrilled with how this course transformed my perspective on AI! The enthusiastic teaching style kept me engaged, and the interactive simulations—like building an ethical decision‑tree for a loan‑approval AI—gave me confidence to apply these skills back home. I learned to spot subtle bias in training data and practiced drafting transparent model documentation, which I’ve already presented to my senior management team. The reading packs were current, referencing both global standards and Indian policy drafts, making the content feel truly global yet locally applicable. This experience has ignited my passion for responsible AI, and I can’t recommend it enough.

ZD
Zanele Dlamini
ZA · Course completed

The AI and Ethics module was exceptionally thorough. My primary learning goal was to develop a comprehensive ethics audit for AI projects in the public sector, and the course delivered a step‑by‑step methodology that I could directly adapt. The detailed analysis of algorithmic fairness, coupled with the hands‑on workshop where we evaluated a real‑world image‑recognition system, provided concrete skills I hadn’t encountered before. The supplementary PDFs, research articles, and the curated list of regulatory resources were top‑notch and kept the content relevant to both African and international contexts. While the pacing was intensive, the overall experience was rewarding and has already improved the way I approach AI governance in my consultancy work.





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Recently updated!

May 2026