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AI Ethics
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Course
AI Ethics
Learn how to build AI systems that are fair, transparent, and accountable while navigating ethical challenges and regulations. Gain the skills to implement responsible and trustworthy AI in real-world applications.
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
Artificial intelligence (AI) is transforming industries, but its rapid adoption raises important ethical and regulatory questions. Understanding these issues is critical for developing AI systems that are fair, transparent, and trustworthy, making professionals with knowledge in AI ethics highly valuable.
In this course, you will explore the ethical challenges of AI, including bias, fairness, and inclusivity, and learn strategies to mitigate these risks. You will also examine existing and emerging regulations and guidelines that govern AI development and deployment, and study real-world case studies that demonstrate responsible AI practices in action.
You will then dive into the concept of Trustworthy AI, exploring principles and practices for building AI systems that are reliable, accountable, and transparent, while ensuring privacy, security, and interpretability.
For individuals seeking to understand the broader implications of AI and navigate its ethical and regulatory landscape, this course provides essential insights and practical knowledge.
This course comprises two purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 1 hour. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Understand and apply AI to solve practical problems.
- Evaluate ethical implications of AI technologies and decisions.
- Navigate AI laws, policies, and compliance requirements.
- Design AI systems that are fair, transparent, and reliable.
Anyone who wants to understand the core concepts, terminology, and applications of AI.
Basic computer literacy
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
The AI Ethics course explores the ethical, social, and regulatory aspects of Artificial Intelligence (AI). Learners examine potential biases, fairness, transparency, and accountability issues in AI systems, while gaining insights into ethical AI principles and frameworks for responsible AI deployment.
This course is suitable for professionals, managers, executives, AI practitioners, and students who want to understand artificial intelligence ethics. It is ideal for anyone interested in learning how to navigate ethical challenges, mitigate bias, and implement responsible AI practices.
Learners develop the ability to identify and address ethical concerns of AI, evaluate AI system fairness, and ensure compliance with emerging regulations. Youll also learn to apply ethical AI principles in real-world scenarios, promote transparency, accountability, and trustworthiness in AI systems, and understand governance and ESG considerations.
The course covers critical topics including AI biases, regulatory frameworks, AI governance, ethical frameworks for AI, and the foundations of trustworthy AI. Hands-on labs teach bias detection and mitigation techniques, and case studies demonstrate practical implementation of ethical AI practices across industries.
No prior AI knowledge is required. The course is designed for learners of all backgrounds with only basic computer literacy needed, making it accessible for those who want to explore artificial intelligence ethics and responsible AI practices.
Yes, the AI Ethics course is self-paced, allowing learners to complete modules at their convenience. Modules cover AI ethical concerns, bias mitigation, regulations, governance, and principles of trustworthy AI.
Yes. Upon completion, learners receive a Certificate of Completion validating their understanding of ethical frameworks, bias mitigation, and responsible AI practices.
Absolutely. This course is beginner-friendly and introduces learners to the ethical implications of AI, AI fairness, accountability, and transparency in AI systems, making it suitable for anyone exploring AI ethics.
Through case studies, labs, and real-world examples, learners understand how to implement ethical AI principles, ensure AI compliance, and design AI systems that are transparent, accountable, and aligned with societal and organizational standards.
After completion, learners can confidently address ethical concerns of AI, contribute to AI governance, promote responsible AI practices in organizations, and pursue roles in AI oversight, compliance, or ethical AI consulting.
Type of certificate
IBM Certificate
About this course
02 Modules
05 Skills
Includes
Discussion space
01 Hands-on lab
Exercises to explore
Detect the Bias
This course has been created by
Rachel Amity Brown
Tech Ethics Education Program Manager
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