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Career Path - AI Ethics and Governance Specialist

Master the principles of AI ethics, compliance, governance, and risk to build responsible and trustworthy AI systems.
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Course Duration: 200 Hours
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AI Ethics and Governance Specialist – Online Course
 
The AI Ethics and Governance Specialist course is an in-depth, career-oriented online training program designed for individuals who want to lead the responsible development and deployment of artificial intelligence (AI) systems. Whether you're a data scientist, technology strategist, compliance officer, or aspiring AI policy advocate, this course offers the comprehensive foundation and practical expertise required to navigate the ethical, regulatory, and governance challenges in AI.
 
Artificial Intelligence is transforming industries—healthcare, finance, education, security, and beyond. But with great power comes great responsibility. The unregulated use of AI can lead to privacy violations, algorithmic bias, discrimination, and loss of accountability. Hence, the demand for specialists who can ensure the ethical design and implementation of AI is growing rapidly across sectors. This course will equip you to become that change-maker.
 
In this course, you will explore foundational ethical frameworks, global AI governance initiatives, risk management models, and compliance practices for laws like GDPR, AI Act, and more. You'll learn how to assess algorithmic fairness, ensure transparency in AI systems, and integrate Responsible AI principles into design and deployment lifecycles. Real-world case studies and applied exercises will enable you to translate theory into practice—preparing you for consultancy, policy, compliance, or advisory roles in both public and private sectors.
 
How to Use This Course Effectively
 
This course is structured to develop your understanding step-by-step. Begin with the ethical principles and frameworks, then progress into risk management, governance design, and compliance enforcement.
 
We recommend the following learning approach:
  • Follow the Sequence: Each module builds on the previous. Avoid skipping ahead.
  • Engage in Case Studies: Real-world scenarios are presented for practical reflection and analysis.
  • Use Provided Checklists and Templates: These tools will help you apply what you learn in your workplace or projects.
  • Stay Updated: AI ethics is an evolving field. The course includes resources to track emerging regulations and best practices.
  • Join Discussions and Forums: Collaboration with peers will deepen your understanding of diverse perspectives and global ethical challenges.
Whether you aim to become an ethics consultant, responsible AI auditor, or governance strategist, this course gives you the theoretical knowledge and practical insights needed to thrive in this growing career path.

Course/Topic 1 - Course access through Google Drive

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Course/Topic 2 - Data Science with R - all lectures

  • In this lecture session we learn about introduction of data science and also talk about features of data science in R.

    • 54:03

  • In this lecture session we learn about data collection and management and also talk about features of data collection and management in data science with R.

    • 29:32

  • In this lecture session we learn about model deployment and maintenance and also talk about functions of model deployment and maintenance in data science with R.

    • 12:47

  • In this lecture session we learn about setting expectations and also talk about factors of setting expectations in brief.

    • 10:18

  • In this lecture session we learn about loading data into R and also talk about features of loading data into R and also talk about the importance of loading data into R.

    • 42:20

  • In this lecture session we learn about exploring data in data science and machine learning and also talk about features of exploring data in data science and machine learning.

    • 08:01

  • In this lecture session we learn about features of exploring data using R and also talk about factors of exploring data using R.

    • 45:36

  • In this lecture session we learn about benefits of data cleaning and also talk about features of benefits of data cleaning.

    • 22:44

  • In this lecture session we learn about cross validation in R and also talk about features of validation in data science with R.

    • 17:32

  • In these lecture sessions we learn about data transformation in data science with R and also talk about features of data transformation in brief.

    • 1:35:26

  • In this lecture session we learn about modeling methods in data science with R and also talk about the importance of modeling methods.

    • 20:13

  • In this lecture session we learn about solving classification problems and also talk about features of solving classification problems in brief.

    • 11:55

  • In this lecture session we learn about working without known targets in data science with r and also talk about features of working without known targets.

    • 19:58

  • In this lecture session we learn about evaluating models in data science with R and also talk about features of evaluating models in brief.

    • 28:11

  • In this lecture session we learn about confusion matrix in indian accounting standards and also talk about features of confusion matrix.

    • 34:03

  • In this lecture session we learn about introduction to linear regression and also talk about features of linear regression in indian accounting standards.

    • 1:25:24

  • In this lecture session we learn about linear regression in R and also talk about features and functions of linear regression in brief.

    • 26:51

  • In this lecture session we learn about linear regression in R in data science with r and also talk about features of linear regression in R language.

    • 41:22

  • In this lecture session we learn about simple and multiple regression in data science with r and also talk about the basic difference between simple and multiple regression in brief.

    • 56:54

  • In this lecture session we learn about linear and logistic regression in data science with r language and also talk about functions of linear and logistics regressions.

    • 29:09

  • In this lecture session we learn about support vector machines (SVM) in R and also talk about features of support vector machines in data science with R language.

    • 45:18

  • In this lecture session we learn about factors of support vectors machines in data science with R and also talk about features of support vectors machines.

    • 1:30:55

  • In this lecture session we learn about unsupervised methods in data science with R and also talk about functions of unsupervised methods in data science.

    • 24:44

  • In this lecture session we learn about clustering in data science with R language and also talk about features of clustering in data science.

    • 50:44

  • In this lecture session we learn about K-means algorithms in R and also talk about all types of algorithms in data science with R language.

    • 1:09:44

  • In this lecture session we learn about hierarchical clustering in data science with R language and also talk about features of hierarchical clustering.

    • 33:41

  • In this lecture session we learn about libraries in data science with R and also talk about libraries of hierarchical clustering in brief.

    • 23:15

  • In this lecture session we learn about the dendrogram of diana and also talk about all types of clustering in data science with R.

    • 41:05

  • In this lecture session we learn about market basket analysis in data science with R and also talk about features of market basket analysis in data science with R.

    • 05:08

  • In this lecture session we learn about MBA and association rule mining in data science with r language.

    • 23:52

  • In this lecture session we learn about implementing MBA in data science with R and also talk about implementing MBA.

    • 09:18

  • In this lecture session we learn about association rule learning in data science with R and also talk about features of association rule learning.

    • 24:02

  • In this lecture session we learn about decision tree algorithms in data science with R and also talk about features of tree algorithms.

    • 36:29

  • In this lecture session we learn about exploring advanced methods in tree algorithms in data science with R and also talk about features of exploring advanced methods.

    • 48:16

  • In this lecture session we learn about using kernel methods and also talk about features of using kernel methods in data science with R.

    • 47:43

  • In this lecture session we learn about documentation and deployment and also talk about features of documentation and deployment in data science with R.

    • 30:09
Course Objectives Back to Top

By the end of this course, learners will be able to:

  1. Understand core AI ethics principles including fairness, accountability, and transparency.
  2. Identify ethical risks and apply mitigation strategies throughout the AI lifecycle.
  3. Evaluate compliance requirements such as GDPR, AI Act, and algorithmic audits.
  4. Design AI governance frameworks aligned with international best practices.
  5. Assess and reduce algorithmic bias in machine learning systems.
  6. Apply ethical impact assessments for AI systems.
  7. Create Responsible AI policies and documentation.
  8. Interpret regulatory frameworks and navigate global AI policy landscapes.
  9. Promote diversity and inclusion in AI development teams.
  10. Lead cross-functional discussions on AI trust, safety, and social impact.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to AI Ethics
– Definition, scope, and need for AI ethics
– Evolution of ethical AI frameworks
 
Module 2: Ethical Principles in AI
– Fairness, Accountability, Transparency
– Explainability and Interpretability
– Privacy and Consent
 
Module 3: Risk Management in AI
– Risk Identification in ML pipelines
– Risk Assessment Models (ISO, NIST)
– Mitigation Tools
 
Module 4: Algorithmic Bias & Fairness
– Types of bias: historical, sampling, measurement
– Fairness metrics and audits
– Case studies in healthcare, finance
 
Module 5: Global AI Governance Frameworks
– UNESCO, OECD, IEEE standards
– AI Governance Models (centralized vs. decentralized)
– Impact on corporate policies
 
Module 6: Law, Policy, and Regulation
– Overview of GDPR, AI Act (EU), U.S. Executive Orders
– Regulatory compliance and documentation
– Ethical impact assessments
 
Module 7: Responsible AI Implementation
– Designing AI with ethics-by-design
– Responsible AI toolkits (Microsoft, IBM, Google)
– Cross-functional governance committees
 
Module 8: Ethics in AI Design & Deployment
– Lifecycle ethical review
– Procurement and vendor oversight
– Incident response for ethical breaches
 
Module 9: AI Audit & Compliance
– Audit templates and checklists
– Audit trails and explainability logs
– Aligning with industry certifications
 
Module 10: Capstone Project & Industry Use Cases
– Real-world case studies (facial recognition, hiring algorithms)
– Design a Responsible AI framework for a selected organization
Certification Back to Top
Upon completion of the AI Ethics and Governance Specialist course, participants will receive an industry-recognized Certificate of Completion from Uplatz, validating their understanding of AI ethics, governance frameworks, and responsible deployment practices. This credential enhances your professional credibility and can be featured on your LinkedIn profile or résumé to signal your expertise in ethical AI leadership, risk management, and regulatory compliance.
 
The certification demonstrates your readiness to take on roles that demand not only technical knowledge but also an understanding of legal, social, and moral responsibilities in AI development. Whether you work in technology, policy, law, or compliance, this certificate sets you apart as a forward-thinking professional committed to building trustworthy AI systems.
Career & Jobs Back to Top
The global demand for AI Ethics and Governance Specialists is growing rapidly as organizations recognize the reputational, legal, and financial risks associated with unethical AI use. Industries such as finance, healthcare, government, and tech are actively hiring professionals who can bridge the gap between innovation and accountability.
 
Completing this course opens doors to a variety of career paths, including:
  • AI Ethics Consultant
  • Responsible AI Officer
  • Governance and Risk Analyst
  • AI Policy Advisor
  • Compliance and Audit Lead (AI)
  • Ethical AI Product Manager
  • AI Strategy and Innovation Manager
These roles are vital in startups, MNCs, regulatory bodies, nonprofit advocacy groups, and think tanks. Employers are seeking individuals who can help assess algorithmic bias, shape ethical guidelines, prepare organizations for audits, and ensure AI is used safely and inclusively.
 
Professionals with this training can contribute to shaping organizational governance policies, conduct AI impact assessments, and align internal processes with emerging international regulations. The course also benefits legal and compliance professionals wishing to pivot toward AI-specific domains.
 
As companies scale AI initiatives, professionals trained in AI ethics and governance will be indispensable—not just as gatekeepers, but as strategic enablers of responsible innovation.
Interview Questions Back to Top
1. What is AI Ethics and why is it important?
AI Ethics refers to the principles and values guiding the development and use of AI. It's important to prevent harm, ensure fairness, and maintain public trust.
 
2. What are the core ethical principles in AI?
The main principles include fairness, accountability, transparency, privacy, and explainability.
 
3. How do you identify algorithmic bias in AI systems?
By auditing data inputs, evaluating model outputs across demographics, and using fairness metrics such as demographic parity or equal opportunity.
 
4. What is the difference between governance and compliance in AI?
Governance refers to internal frameworks for managing AI responsibly, while compliance ensures adherence to external laws and regulations.
 
5. How does GDPR affect AI applications?
GDPR mandates data minimization, user consent, and transparency, especially for automated decision-making.
 
6. What is a Responsible AI framework?
It’s a structured approach to designing, building, and deploying AI systems with ethical safeguards, accountability measures, and continuous oversight.
 
7. What is an AI impact assessment?
It’s a process for evaluating the potential societal, ethical, and legal impacts of an AI system before deployment.
 
8. Name some tools used in Responsible AI implementation.
Microsoft Responsible AI dashboard, IBM AI Fairness 360, Google What-If Tool.
 
9. What role does transparency play in ethical AI?
Transparency enables users and regulators to understand how AI systems make decisions, fostering trust and accountability.
 
10. How do companies ensure ongoing AI compliance?
Through periodic audits, AI ethics committees, impact assessments, and alignment with evolving legal standards.
Course Quiz Back to Top
Start Quiz
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. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. 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. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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