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This course dives deep into the ethical side of artificial intelligence. In just three days, you’ll explore fairness, bias, privacy, transparency, and global frameworks that guide the responsible use of AI.
Designed for business leaders, practitioners, and anyone working around AI, this certification helps you understand the risks and build systems that respect users, laws, and society.
AI is powerful. But without strong ethics, it can do more harm than good. This course helps you recognize the risks, avoid the common pitfalls, and design AI systems that are fair, secure, and accountable.
You’ll learn how to explain AI decisions, protect user privacy, ensure transparency, and align with global regulations. The course uses case studies, hands-on frameworks, and real-world examples to help you lead ethical AI adoption with confidence.
Familiarity with basic AI concepts
Awareness of how tech impacts society
No coding or deep technical background required
Managers making strategic or policy decisions around AI
CXOs and executives shaping AI governance
Frontline workers using AI tools in daily workflows
Legal and compliance teams supporting AI adoption
1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.
2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.
3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.
4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.
Course Overview
Course Introduction
Module 1: Overview of AI Ethics & Societal Impact
Introduction to Ethical Considerations in AI
Understanding the Societal Impact of AI Technologies
Strategies for Conducting Social and Ethical Impact Assessments
Module 2: Bias and Fairness in AI
Exploration of Biases in Data and Algorithms
Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
Module 3: Transparency and Explainable AI
Importance of Transparent AI Systems
Techniques for Explaining AI Models to Diverse Stakeholders
Guided Projects on Designing and Analyzing AI Systems with Ethical Considerations
Module 4: Privacy and Security Issues in AI
Frameworks for Organizational Accountability in Ethical AI Use
Importance of Ethical AI Deployment to Prevent Misuse or Harm
Module 5: Accountability and Responsibility
Concepts of Accountability in AI Development and Deployment
Responsibilities of AI Practitioners and Organizations
Module 6: Legal and Regulatory Issues
Overview of Relevant Laws and Regulations Pertaining to AI
Understanding Global Regulatory Challenges for AI Technologies
Case Studies: GDPR Compliance
Legal Compliance of AI Tools
Module 7: Ethical Decision-Making Frameworks
Introduction to Frameworks for Ethical Decision-Making in AI
Case Studies and Practical Applications
Using Simulation Platforms for Ethical Analysis
Module 8: AI Governance & Best Practices
Principles and Functions of International AI Governance
Best Practices for Integrating AI Ethics into Organizational Policies
Case Studies on AI Governance Implementation
Module 9: Global AI Ethics Standards
Exploring Standards: IEEE’s Ethically Aligned Design
Comparative Case Studies on Standard Implementations
Tools for Evaluating AI Systems Against Global Ethics Standards
Optional Module: AI Agents for Ethics and Its Implications
Understanding AI Agents in Ethical Contexts
Case Studies
Hands-on Practice with AI Agents
At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:
Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.
Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.
Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.
These options are designed to make the registration process as smooth and flexible as possible for all participants.
Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.
Guaranteed on Next Booking – The course will proceed once an additional student registers.
Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.
Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.
At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.
The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.
Testimonials
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