Ethics in AI and Machine Learning

CODE: NAI14

DURATION: 3 Days | 5 Days | 10 Days

CERTIFICATIONS: CPD

  • Modern facilities
  • Course materials and certificate
  • Accredited international trainers

3 Days

₦350,000

5 Days

₦900,000

10 Days

₦2,000,000

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Course Overview

Course Outcomes

Key Course Highlights

Who Should Attend

Upcoming Course Dates

Course Overview

This course introduces participants to the ethical challenges and responsibilities associated with the development and use of AI and machine learning systems. It covers core topics such as algorithmic bias, transparency, accountability, data privacy, fairness, and the societal impacts of AI. The aim of the course is to help participants learn how to identify ethical risks, apply responsible AI practices, and design systems that align with legal and social standards.

Course Delivery

This course is available in the following formats:

Virtual

Classroom

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Course Outcomes

Delegates will gain the knowledge and skills to:

Learn the key ethical issues in AI and machine learning.

Identify and mitigate algorithmic bias and unfairness.

Apply transparency and accountability principles in AI design.

Address privacy and data protection concerns.

Evaluate the social and legal impacts of AI technologies.

Implement responsible AI practices across the development lifecycle.

Align AI projects with ethical frameworks and global standards.

Communicate ethical risks and solutions effectively within teams.

Key Course Highlights

At the end of this course, you’ll understand:

  • Foundations of AI ethics and responsible innovation.
  • Algorithmic fairness and bias mitigation techniques.
  • Ethical data sourcing and privacy considerations.
  • Explainability and transparency in model decisions.
  • Legal and regulatory frameworks for ethical AI.
  • Human oversight and accountability in automation.
  • Ethics in AI for hiring, healthcare, finance, and public use.
  • Real-world ethical dilemmas and case study analysis.
  • Tools and frameworks for ethical AI assessment.
  • Building trust and social acceptance in AI systems.
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Who Should Attend

This course is tailored for data scientists, AI developers, machine learning engineers, policymakers, project managers, compliance officers, and anyone involved in designing or implementing AI solutions. It is also valuable for business leaders and decision-makers looking to ensure ethical governance in AI adoption and deployment. 

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Upcoming Course Dates

Delivery Format: Classroom & Virtual

Date: 08/12/2025

Location: Abuja

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Ethics in AI and Machine Learning

✓ Modern facilities

✓ Course materials and certificate

✓ Accredited international trainers

✓ Training materials and workbook

✓ Access to online resources

Enrol Now

Request Group Training

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