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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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People also ask

Everything you need to know before you start

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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 Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for the AI and Ethics class hoping to get a solid grounding before my next promotion, and it delivered. The practical exercises—especially the risk‑assessment worksheet for algorithmic decisions—were super useful. I took the worksheet back to my team and we incorporated it into our quarterly review, which helped us spot a potential privacy issue early. The video lectures were clear, the slides were crisp, and the extra reading links kept things fresh. All in all, a very worthwhile experience.

MC
Michael Carter
US · Course completed

The AI and Ethics course perfectly aligned with my goal of integrating responsible AI practices into our product roadmap. The modules on bias detection gave me a clear, step‑by‑step framework that I immediately applied to a pilot project, reducing false‑positive rates by 12%. The case studies from the Stanford and MIT repositories were current and highly relevant, and the reading pack was concise yet thorough. Overall, the instruction was professional and the materials were top‑notch, leaving me confident that I can lead ethical AI initiatives at Stanmore School of Business.

AP
Ananya Patel
IN · Course completed

Wow, what an energizing experience! This AI and Ethics course gave me the exact tools I needed to design fair AI models for my startup. The hands‑on lab where we built a bias‑mitigation pipeline using Python was thrilling, and I could see immediate improvements in model fairness metrics (the disparate impact dropped from 0.68 to 0.31). The course materials were up‑to‑date, featuring the latest EU AI Act excerpts, and the instructor’s enthusiasm made every concept click. I’m now confidently pitching ethical AI solutions to investors.

ZD
Zanele Dlamini
ZA · Course completed

The AI and Ethics program was exceptionally detailed, covering both theoretical foundations and practical applications. I appreciated the deep dive into stakeholder analysis, which I used to draft a comprehensive ethical guideline for a community health data project. The reading list included seminal papers and recent industry reports, providing a balanced perspective. The interactive discussion forums allowed me to compare regulatory approaches across continents, enriching my understanding of global compliance. Overall, the course met my learning objectives and equipped me with actionable skills.





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Recently updated!

May 2026