AI Ethics, Governance, and Compliance
Learn to build ethical, governed, and compliant AI systems with best practices, frameworks, risk management, and real-world insights.
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About the Course: AI Ethics, Governance, and Compliance – Self-Paced Online Course
Artificial Intelligence (AI) is rapidly transforming how businesses operate, how decisions are made, and how society functions. But with great power comes great responsibility. The AI Ethics, Governance, and Compliance – Self-Paced Online Course is designed to help professionals navigate the ethical, legal, and governance-related challenges associated with AI technologies. This course empowers learners to make informed, responsible, and transparent decisions in the design, deployment, and management of AI systems.
Delivered entirely online, this self-paced course offers pre-recorded, expert-led video lectures that allow learners the flexibility to progress at their own speed. Whether you're balancing a full-time job, academic responsibilities, or other commitments, you can access course materials anytime, anywhere. Upon successful completion of all modules, learners will be awarded a Course Completion Certificate, validating their understanding of key concepts in ethical AI and regulatory compliance.
Why This Course Matters
As AI becomes embedded into the infrastructure of healthcare, finance, education, law enforcement, and countless other sectors, there is a growing demand for professionals who understand not just how to build AI systems, but how to build them responsibly.
Organizations today face increasing scrutiny and regulatory pressure to ensure their AI systems are:
- Ethical: Respecting human rights, avoiding bias, and promoting fairness.
- Transparent: Explaining how decisions are made and ensuring accountability.
- Governed: Aligned with organizational and legal frameworks.
- Compliant: Meeting local and international laws, including data protection regulations.
This course provides the knowledge and tools needed to address these dimensions of AI development and deployment.
What You Will Learn
This course explores the critical pillars of responsible AI in depth, ensuring you come away with a well-rounded understanding of both theoretical concepts and practical applications.
Key Modules Include:
- Foundations of AI Ethics
Understand the philosophical and practical roots of AI ethics. Explore key principles such as beneficence, non-maleficence, autonomy, and justice, and how they apply to AI systems. - Bias, Fairness, and Inclusion
Identify how algorithmic bias occurs, how it can be detected, and the strategies to mitigate it. Learn about fairness frameworks and inclusive design practices. - AI Governance Structures
Examine organizational policies and internal control mechanisms that support ethical AI use. Learn how to establish AI ethics committees, audit procedures, and governance charters. - Regulatory and Legal Compliance
Gain insight into global and regional regulations governing AI and data use, including GDPR, AI Act (EU), and emerging U.S. standards. Understand what compliance looks like in practice. - Risk Management and Impact Assessment
Learn how to assess and manage AI risks through tools like algorithmic impact assessments, model documentation, and red-teaming approaches. - Transparency and Explainability
Delve into the technical and policy-level aspects of making AI systems understandable to users, stakeholders, and regulators. Understand the importance of explainability in high-stakes environments. - Accountability and Responsibility
Explore who is responsible when AI goes wrong and how accountability mechanisms can be built into both technology and governance systems. - Ethical Decision-Making Frameworks
Study practical tools and frameworks for making decisions under ethical uncertainty, including value-sensitive design and ethical checklists.
Who Should Take This Course?
This course is ideal for a wide range of professionals and learners, including:
- AI/ML Engineers and Data Scientists looking to build ethically sound systems
- Technology Executives and Product Managers aiming to incorporate responsible AI principles into development workflows
- Compliance Officers and Legal Professionals responsible for ensuring regulatory alignment
- Policy Makers and Government Officials tasked with developing AI strategies and oversight
- Academics and Researchers interested in ethical AI design
- Students pursuing careers in technology, law, ethics, or public policy
Whether you're a technical expert or a non-technical stakeholder, this course equips you with a strong foundation in responsible AI practices.
How to Use This Course Effectively
To get the most from this self-paced course, we recommend the following approach:
- Create a Learning Schedule
Plan your week by setting aside dedicated time slots for study. Since the course is self-paced, consistency will help maintain momentum and deepen understanding. - Watch the Video Modules Carefully
Each video is designed to break down complex ideas into clear, digestible parts. Take notes while watching and pause to reflect on how the concepts relate to your work or field of interest. - Review Key Terminologies and Case Studies
Use supplementary materials, glossaries, or transcripts to understand key terms and regulatory references. Real-world case studies included in the course help ground theoretical knowledge in practical scenarios. - Complete the Interactive Exercises
Where applicable, take advantage of interactive elements such as quizzes, self-assessments, and scenario-based challenges to apply what you’ve learned. - Join a Study Group or Online Forum
Consider joining AI ethics communities or discussion forums where you can share insights, ask questions, and learn from others taking the course or working in the field. - Apply Learnings in Real Projects
If you’re involved in AI projects at work, begin integrating ethical risk assessments, bias detection tools, or explainability techniques into your workflow. Use the course materials as a reference guide. - Revisit Complex Modules
Don’t hesitate to rewatch difficult modules or revisit sections that challenge your understanding. Repetition aids retention, especially when dealing with nuanced legal and philosophical concepts. - Complete All Assessments
Ensure that you go through every quiz or assignment to reinforce your understanding. These assessments are designed to simulate real-world applications and test your comprehension. - Earn and Share Your Certificate
Once all required modules and assessments are completed, you will receive a Course Completion Certificate. Share it on your LinkedIn profile, resume, or portfolio to demonstrate your commitment to responsible AI.
Your Next Steps After the Course
After completing this course, consider pursuing more specialized training or certifications in AI governance, privacy law, or technical AI auditing. Staying updated with regulatory developments and participating in industry events or working groups can further strengthen your expertise.
This course is not just about theory—it’s a gateway to practical, responsible AI implementation. By the end, you’ll be equipped to participate in or lead initiatives that align AI innovation with ethical values, legal standards, and public trust.
By the end of this course, learners will be able to:
- Understand the principles and importance of AI ethics.
- Identify key stakeholders and their roles in AI ethics and governance.
- Apply leading ethical frameworks to AI projects.
- Build and implement AI governance models.
- Integrate compliance programs and risk management strategies.
- Recognize emerging trends and challenges in AI governance and compliance.
- Develop organizational frameworks for ethical AI development and deployment.
AI Ethics, Governance, and Compliance - Course Syllabus
Module 1 - AI Ethics
- What is AI
- What are Ethics, Governance and Compliance- An Introduction
- AI Ethics
- Introduction- Understanding AI Ethics
- Stakeholders in AI Ethics
- Principles of beneficence and non- maleficence
- Discussion on Accountability
- Ethical AI Frameworks
- Property of the System- Transparency
- AI and Human rights
- Non discrimination
- Ethics in practice
- Common ethical issues in AI
Module 2 - AI Governance
- AI Governance
- What is AI Governance?
- Need for AI Governance
- Building blocks and Key components of AI Governance
- Approach to AI Governance
- Implementing AI Governance
- Developing a Compliance program
- Model of AI Governance
- AI governance frameworks
- AI Governance toolkit
- Best Practices
- Measuring Governance and Compliance Effectiveness
- The path ahead- Future of AI Governance
- Current Trends
- Overcoming AI Governance challenges
- Synthesizing AI Governance into Action
Module 3 - AI Compliance
- AI Compliance
- Understanding AI Compliance
- Importance of AI Compliance
- Keys Aspects of AI compliance
- Ensuring AI Compliance
- Risk Management in AI
- Type of AI Risks
- Assessing AI risks
- Risk mitigation techniques
- AI Risk management in Action
- Building a Risk Management framework
Upon successful completion of the AI Ethics, Governance, and Compliance course, learners will receive a Course Completion Certificate recognizing their proficiency in managing ethical, governed, and compliant AI systems.
This certificate will strengthen your profile in industries emphasizing ethical AI use, regulatory compliance, and responsible innovation.
Completing this course unlocks diverse career opportunities in responsible AI and technology governance roles. Positions include:
- AI Ethics Officer
- AI Governance Consultant
- Compliance Analyst (AI/Tech)
- Risk Management Specialist for AI
- AI Policy Advisor
- Responsible AI Engineer
- AI Regulatory Compliance Manager
Sectors such as finance, healthcare, government, technology, and consulting increasingly demand professionals skilled in ethical AI practices and governance.
Whether you're a tech professional, policy expert, or business leader, this course positions you for leadership roles in the responsible AI landscape.
1. What is AI Ethics and why is it important?
AI Ethics involves the study and implementation of moral values and principles in the development and use of AI technologies. It is important to ensure AI systems are fair, transparent, accountable, and respect human rights.
2. Who are the stakeholders in AI Ethics?
Stakeholders include AI developers, users, policymakers, business leaders, regulatory bodies, and affected communities. Each has a role in ensuring ethical AI practices.
3. What is meant by "AI Governance"?
AI Governance refers to the structures, policies, and processes that oversee AI development and deployment to ensure accountability, transparency, fairness, and compliance with laws and ethical norms.
4. Why is transparency important in AI systems?
Transparency helps users and regulators understand how AI decisions are made, builds trust, facilitates accountability, and enables easier detection of biases and errors.
5. What are some key principles of ethical AI?
Key principles include beneficence (doing good), non-maleficence (avoiding harm), fairness, transparency, accountability, privacy protection, and respect for human rights.
6. How can organizations implement AI Governance frameworks?
Organizations can develop AI governance by setting ethical guidelines, establishing oversight committees, conducting regular audits, training staff, and integrating ethical reviews into the AI development lifecycle.
7. What is AI Compliance and why is it necessary?
AI Compliance involves adhering to laws, regulations, and ethical standards related to AI technologies. It ensures that AI systems are legally compliant, ethically sound, and mitigate risks like bias, discrimination, or misuse.
8. What are common risks associated with AI?
Risks include algorithmic bias, discrimination, privacy violations, lack of transparency, security breaches, and unintended harmful outcomes.
9. How is risk management applied in AI?
Risk management in AI involves identifying, assessing, and mitigating potential ethical, legal, and operational risks associated with AI systems through frameworks, audits, testing, and continuous monitoring.
10. What are some best practices for ensuring ethical AI development?
Best practices include stakeholder engagement, transparency in design, inclusive datasets, bias testing, regular audits, establishing accountability structures, and ongoing education on ethical standards.
Q1. What are the payment options? A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay. Q2. Will I get certificate? A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php Q3. How long is the course access? A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience. Q4. Are the videos downloadable? A4. 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Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual Q11. What are bundle courses? A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle Q12. What are Career Path programs? A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done Q13. What are Learning Path programs? A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done Q14. What are Premium Career tracks? A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive. Q15. How unlimited subscription works? A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription Q16. Do you provide software access with video course? A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month. Q17. Does your course guarantee a job? A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey! Q18. Do you provide placement services? A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search: a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy. b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights. c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests. d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin. While we may not offer placement services, we are here to support you in other ways. 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