AI Ethics
Learn to design, deploy, and manage AI systems that are ethical, inclusive, and aligned with legal and societal norms.
Next batch starts from 22th February, 2025
Meet your mentors
Bart Pietruszka
CEO, Refocus AI | Ex- Chief Data & Analytics Officer, HSBC
Specializes in AI implementation, Data quality, automation, commercialization
Tanoy Dewanjee
Lead AVP - Data Science, HSBC | Ex- Amazon
Specializes in AI/ML implementation, growth & fraud Data Science Projects
Key Takeaways
Understand ethical challenges and frameworks for responsible AI
Develop policies and strategies for ethical AI deployment
Identify and mitigate bias in datasets and models
Explore tools and techniques to ensure compliance.
Build AI systems that are interpretable and accountable
Responsible AI deployment and risk mitigation
Course Content
AI Fundamental
Identify and prioritize AI opportunities tailored to your industry, role, and goals.
Ethical Considerations
Get introduced to AI Ethics and Governance. Build understanding of bias and fairness in AI Models.
Explainable AI Systems
Learn to build transparent and explainable AI systems with tools for bias detection and mitigation.
AI Privacy
Understand and confidently navigate the data protection and AI privacy, and regulations.
Ethical AI Leadership
Understand risks, navigate regulations, and build trust through responsible AI practices.
Exclusive Networking
Connect with AI experts and forward-thinking professionals.
Who Should Take This Course?
Business Leaders
CEOs, CTOs, and executives looking to integrate AI into their organizations
Entrepreneurs
Startup founders aiming to leverage AI for competitive advantage
Decision Makers
Managers and directors responsible for strategic technology adoption
Course Benefits
Develop Responsible AI Expertise
Learn to identify, mitigate, and address ethical risks in AI systems, ensuring fairness, transparency, and accountability.
Master AI Governance and Compliance
Gain insights into building policies and frameworks that align with global regulations like GDPR, CCPA, and AI-specific legal standards.
Enhance Trust and Inclusivity
Build AI systems that are interpretable, unbiased, and privacy-conscious, fostering trust among users and stakeholders.
Hands-On Ethical AI Solutions
Apply practical tools and techniques like AI Fairness 360 and Explainable AI to real-world scenarios, solving key ethical challenges.
Course Structure
Interactive Live Sessions
2 days to interact with instructors and peers.
Lifetime Access
Unlimited access to course materials.
In-Depth Lessons
40+ slides, worksheet, frameworks to learn and apply AI principles.
Case Study Based Learning
Real-world case study to put learning into practice.
Guided Feedback
Get constructive feedback on your work.
Certificate of Completion
Show off your new AI leadership skills.
Frequently Asked Questions
Do I need a technical background to take this course?
No, this course is designed for both technical and non-technical professionals involved in AI projects.
What tools will I learn to ensure ethical AI practices?
You’ll explore tools like AI Fairness 360, Explainable AI (XAI) platforms, and bias detection frameworks.
Will this course cover compliance with global AI regulations?
Yes, topics include GDPR, CCPA, and emerging AI governance policies worldwide.
How practical is this course?
The cohort includes hands-on projects focused on ethical challenges like bias mitigation and governance framework design.
What can I do after completing this course?
You’ll be equipped to implement ethical AI practices, advise on AI governance, and build trust in AI systems.