Technology

AI Ethics, Safety & Responsible AI

Understand the ethical implications of AI systems.

4.5★★★★★(227 reviews) 1,180 learners 7 modules · 63 lessons · 2,100 min Beginner English

Created by Gaurav Malhotra, Digital Transformation Lead

What you'll learn

  • Evaluating AI opportunities
  • Writing effective prompts
  • Leading AI adoption responsibly
  • Spotting AI risks early
  • Understand data privacy when using AI tools
  • Understand prompting AI assistants for reliable output

Course curriculum

7 modules · 63 lessons · 2,100 min

Planned outline shown above (sample metadata). The detailed module and lesson list for this course hasn't been published yet.

Description

Understand the ethical implications of AI systems. Learn fairness, explainability, bias mitigation, and governance frameworks for deploying responsible AI at scale.

What this course covers: AI Ethics, Safety & Responsible AI works through data privacy when using AI tools, prompting AI assistants for reliable output, measuring the impact of AI on teams and workflows and change management for AI adoption.

Skills you will build: spotting AI risks early, evaluating AI opportunities and writing effective prompts.

Practical applications: automating routine work, improving team decision-making and building an AI roadmap for a department.

Who should take this course: managers, professionals and business owners who want to use AI confidently without a technical background. No prior experience is needed — the course starts from the basics.

Learning outcomes: by the end of the course you should be able to apply data privacy when using AI tools and spotting AI risks early to your own work or projects, and know which areas to practise next.

Requirements

  • No prior experience required
  • A computer or smartphone with internet access
  • Time to practise each week

Your instructor

GM

Gaurav Malhotra

Digital Transformation Lead · 14+ years of experience

Gaurav Malhotra is a digital transformation lead with 14+ years of experience in applied AI for business. Gaurav teaches how generative AI tools work in plain language and choosing AI use cases with a clear business value with practical, step-by-step examples.

Reviews

  • T
    Tanya R. ★★★★★ 4.5/5 Sample review

    The section on measuring the impact of AI on teams and workflows was explained step by step, and the examples made change management for AI adoption much easier to follow. The ethics discussion was balanced and practical rather than just theory.

  • S
    Sameer F. ★★★★★ 4.0/5 Sample review

    Well organised. Revisiting the measuring the impact of AI on teams and workflows part a second time really helped it click. Helped me pick realistic AI use cases for my team instead of chasing hype.

  • D
    Deepa J. ★★★★★ 5.0/5 Sample review

    Good balance of theory and practice. The data privacy when using AI tools lessons helped me apply spotting AI risks early in real situations. The prompting examples saved me hours in the first week itself.

Sample reviews are illustrative demo content, not verified purchases. Ratings from learners will appear here once submitted.

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