Why this course?

Description

As AI systems rapidly scale across sectors, organisations face rising risks-from algorithmic bias and deepfake fraud to regulatory non-compliance and intellectual property theft. This 8-hour online certificate course equips professionals to navigate the risks of artificial intelligence and machine learning using global frameworks like NIST AI RMF, EU AI Act, and ISO 42001.

Through real-world case studies (like ChatGPT data leaks, deepfake banking frauds, and Apple Card bias), you’ll learn how to identify, assess, and mitigate AI risks across governance, data privacy, cybersecurity, and explainability. The course includes practical toolkits, audit templates, and a capstone project where you build an AI risk register.

🔍 Problem Statement
Most AI adoption is happening without adequate risk controls, exposing companies to reputation damage, compliance fines, and systemic failure. The lack of standardised governance practices, especially in regulated industries like BFSI, has made AI oversight both urgent and challenging.

✅ What You’ll Learn
• Unique risks of AI & ML vs traditional IT
• Global AI regulations (EU AI Act, NIST, ISO, India’s DPDP)
• Algorithmic bias, explainability, and fairness tools
• Data privacy, adversarial attacks & IP theft risks
• Risk mitigation in AI for BFSI, insurance, and finance
• AI governance structures, risk registers, and audit checklists
• Future risks: deepfakes, hallucinations, automation failure
• Capstone: Design a risk mitigation roadmap for an AI use case

👥 Who Should Enroll
• Risk, compliance, GRC, and audit professionals
• BFSI & insurance teams using AI in credit, underwriting, claims
• CXOs and strategy leaders in AI-powered industries
• AI developers, ML engineers, data scientists
• Policy makers, regulators, and academics in AI governance
• Consultants, internal auditors, cybersecurity officers

🕒 Course Format & Duration
• 8 hours of expert-led video modules
• Capstone project with feedback
• Certificate of Completion included
• Downloadable templates: AI Risk Register, Bias Checklist, Governance Audit Sheet

🚀 Why This Course Is Unique
• Blends global AI risk frameworks with Indian regulatory context
• Rich case studies from Samsung, NYT vs OpenAI, Apple Card bias, etc.
• Designed for cross-functional professionals-tech, compliance, policy
• Practical toolkits & templates for immediate workplace use
• Covers not just ethical risks, but technical and systemic AI failures

📣 Enroll Now
Don’t just implement AI. Govern it.
Start this structured, case-rich program and lead responsible, compliant, and resilient AI adoption in your organisation.