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CODE: NAI14
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
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.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
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.
At the end of this course, you’ll understand:
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.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
