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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
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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.

4.8
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 AI and Ethics because I wanted a solid grounding before we rolled out a new chatbot at my startup. The course was surprisingly laid‑back but packed with useful nuggets. I loved the practical worksheet on drafting an AI ethics checklist—it’s something I used straight away to get senior buy‑in. The video interviews with European regulators felt fresh and helped me understand the legal side of things. While I wish there were a few more interactive quizzes, the overall vibe was friendly and I walked away with real tools for my day‑to‑day work.

MC
Michael Carter
US · Course completed

The AI and Ethics course perfectly aligned with my goal to integrate responsible AI practices into our product development pipeline. The modules on bias detection gave me a clear, step‑by‑step framework that I immediately applied to our recommendation engine, reducing biased outcomes by 27% in our pilot test. The case studies from leading tech firms were current and directly relevant, and the reading pack—especially the "Ethical AI Governance" whitepaper—was concise yet thorough. Overall, the blend of theory and hands‑on exercises made the learning experience professional and highly actionable, and I feel confident recommending this course to my colleagues.

AP
Ananya Patel
IN · Course completed

Wow! This course blew my mind. I wanted to learn how to build AI systems that are fair and transparent, and the instructors delivered with passion. The hands‑on lab where we built a bias‑aware classifier using Python was a game‑changer—I can now show my team concrete evidence of bias and how to fix it. The reading list included the latest papers from top Indian AI ethics conferences, keeping everything super relevant. The enthusiasm of the faculty kept me engaged throughout, and I’m now confidently presenting ethical AI roadmaps to our board.

ZD
Zanele Dlamini
ZA · Course completed

The AI and Ethics program offered a detailed and rigorous exploration of the subject, exactly what I needed to meet my academic research objectives. Each module provided in‑depth analyses—like the statistical techniques for bias measurement—that I incorporated into my thesis, resulting in a publication at the African Conference on AI. The supplemental resources, such as the annotated bibliography of African AI policy documents, were invaluable and highlighted regional relevance. The structured assessments and peer‑review discussions fostered a comprehensive learning environment, and I left the course fully equipped to advise policymakers on ethical AI implementation.





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Recently updated!

May 2026