Quick Summary
This course teaches how to AI Risk Management using global frameworks.
You will learn:
- How to identify AI-specific risks
- How to apply NIST, EU AI Act, and ISO frameworks
- How to build AI governance and risk controls
- How to create risk registers and mitigation strategies
As AI systems rapidly scale across sectors, organizations face rising risks-from algorithmic bias and deepfake fraud to regulatory non-compliance and intellectual property theft. Smart Online Course, in partnership with the Risk Management Association of India (RMAI) offers Online Certificate Course in AI Risk Management.
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.
Also Read: AI Risk Management – How to Identify and Mitigate Bias Effectively
What is AI Risk Management?
AI risk management is the process of identifying, assessing, and mitigating risks associated with artificial intelligence systems.
These risks include:
- Algorithmic bias and unfair outcomes
- Data privacy and security risks
- Lack of transparency (black-box models)
- Regulatory non-compliance
- Misuse of AI (e.g., deepfakes, fraud)
It ensures AI systems are safe, ethical, and reliable
Problem Statement
Most AI adoption is happening without adequate risk controls, exposing companies to reputation damage, compliance fines, and systemic failure. The lack of standardized governance practices, especially in regulated industries like BFSI, has made AI oversight both urgent and challenging.
Key Details
Duration: 8 Hours
Format: Online | Self Paced | 100% Flexible & Accessible Anytime
Dual Certification: Issued by Risk Management Association of India, Smart Online Course + BFSI Sector Skill Council of India
Get the complete training program details which includes:
- Career benefits and practical applications of the course
- Complete program details, eligibility, and enrollment information
Skills You Will Gain
By completing this course, you will:
- Understand InsurTech concepts and the digital insurance ecosystem
- Analyze the impact of AI, automation, and emerging technologies in insurance
- Manage digital underwriting, claims, and customer experience processes
- Evaluate embedded insurance, APIs, and ecosystem partnerships
- Apply data analytics and digital transformation strategies in insurance
- Strengthen innovation, governance, and future-ready insurance capabilities
Why AI Risk Management is Important
AI risk management is critical because:
- AI decisions impact customers and businesses
- Regulatory scrutiny is increasing globally
- AI failures can cause reputational damage
- Bias and errors can lead to financial loss
Managing AI risk is essential for responsible AI adoption.
AI Risk vs Traditional IT Risk
| Aspect | Traditional IT Risk | AI Risk |
| Nature | Predictable | Dynamic |
| Decision Logic | Rule-based | Data-driven |
| Transparency | High | Low (black-box) |
| Risk Type | System failures | Bias, misuse, ethics |
| Monitoring | Static | Continuous |
AI Governance vs AI Risk Management
| Aspect | AI Governance | AI Risk Management |
| Focus | Policies & oversight | Risk identification & control |
| Scope | Organization-wide | System-specific |
| Objective | Accountability | Risk mitigation |
What You’ll Learn in AI Risk Management Course
- 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
Also Read: Why AI Risk Management is Critical
Global Relevance of AI Risk Management
AI regulation is increasing worldwide:
- EU AI Act (Europe)
- NIST AI RMF (USA)
- DPDP Act (India)
Organizations must align with global standards.
Real World Examples of AI Risk
AI risks include:
- Deepfake fraud in banking
- Bias in credit scoring systems
- Data leaks from AI models
- Automated decision errors
These risks highlight the need for structured governance.
Who Should Enroll
This course is ideal for:
- Risk, compliance, and audit professionals
- BFSI and insurance teams using AI
- AI developers and data scientists
- Cybersecurity and governance professionals
- CXOs and strategy leaders
- Policy makers and regulators
AI Risk Management Course Format & Duration
- 8 hours of expert-led video modules
- Capstone project with feedback
- Certificate of Completion included – jointly issued by RMAI and Smart Online Course
- Downloadable templates: AI Risk Register, Bias Checklist, Governance Audit Sheet
Accelerate your growth with Dual Certification
Why This AI Risk Management 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
Also Check: Online Certificate Course in AI & Emerging Technologies in Banking
Is This AI Risk Management Course Worth It?
This course is valuable if you:
- Work with AI systems in any industry
- Are involved in risk, compliance, or governance
- Want to understand AI risks beyond theory
- Need practical tools and frameworks
It focuses on real-world implementation, not just concepts
Career Opportunities After This Course
This course prepares you for roles such as:
- AI risk manager
- AI governance specialist
- Compliance and GRC professional
- AI audit and assurance roles
- Risk analyst in AI-driven organizations
AI risk management is a rapidly growing career field.
Frequently Asked Questions (FAQs)
1. What is AI Risk Management?
AI Risk Management is the process of identifying, assessing, mitigating, monitoring, and governing risks arising from the development, deployment, and use of Artificial Intelligence systems. It helps organizations ensure AI is secure, ethical, reliable, and compliant with applicable regulations.
2. Who should enroll in this course?
This course is ideal for risk managers, compliance professionals, internal auditors, AI governance professionals, data analysts, banking and financial services professionals, technology leaders, consultants, regulators, students, and anyone involved in AI adoption.
3. Do I need programming or AI development experience?
No. This course is designed for business professionals as well as technical professionals. No coding knowledge is required to understand AI risk management concepts.
4. What topics are covered in this course?
The course covers AI fundamentals, AI governance, AI risk identification, model risk management, Generative AI risks, AI ethics, cybersecurity, regulatory compliance, AI lifecycle governance, third-party AI risks, and practical AI risk mitigation strategies.
5. Is this course completely online?
Yes. It is a 100% self-paced online course that allows you to learn anytime, anywhere, and on any device.
6. Will I receive a certificate after completing the course?
Yes. Upon successful completion, learners receive an industry-recognized certificate from the Risk Management Association of India (RMAI).
7. What are the major AI risks covered in this course?
The course covers model bias, inaccurate predictions, hallucinations in Generative AI, cybersecurity threats, privacy risks, regulatory compliance risks, operational failures, third-party AI risks, reputational damage, and ethical concerns associated with AI deployment.
8. Will I learn about AI governance?
Yes. The course explains how organizations establish AI governance frameworks, policies, oversight structures, accountability mechanisms, and controls to ensure responsible AI adoption.
9. Does the course cover Generative AI and Large Language Models (LLMs)?
Yes. The course introduces Generative AI concepts, Large Language Models (LLMs), their business applications, associated risks, governance challenges, and control measures.
10. Will I learn about AI regulations?
Yes. The course discusses emerging AI regulatory expectations, responsible AI principles, data governance, privacy considerations, and internationally recognized AI governance frameworks.
11. How is AI Risk Management different from traditional Risk Management?
Traditional risk management focuses on financial, operational, and compliance risks, while AI Risk Management addresses additional challenges such as model bias, explainability, transparency, autonomous decision-making, AI security, data quality, and ethical AI deployment.
12. Is this course relevant for banking and financial services professionals?
Yes. Banks, NBFCs, insurance companies, fintech firms, and financial institutions are rapidly adopting AI. This course helps professionals understand how to govern AI while managing regulatory, operational, cybersecurity, and model risks.
13. Is this course suitable for freshers?
Yes. Students and recent graduates interested in AI governance, digital transformation, enterprise risk management, compliance, audit, or financial services can build a strong foundation through this course.
14. What practical skills will I gain?
You will learn to perform AI risk assessments, evaluate AI governance frameworks, identify AI control gaps, understand model governance, assess ethical AI risks, and recommend practical controls for responsible AI implementation.
15. How will this course help my career?
As organizations increasingly adopt AI, professionals with expertise in AI governance and risk management are in high demand across banking, insurance, fintech, consulting, healthcare, technology, and government sectors. This course prepares you for roles such as AI Risk Analyst, AI Governance Specialist, Model Risk Analyst, Compliance Officer, Internal Auditor, Enterprise Risk Manager, and Digital Risk Consultant.
Contact Details
For more information:
- Website: www.smartonlinecourse.com
- Email: info@smartonlinecourse.com
- Phone: +91-8232083010 / 8697310275 / 9883398055
- Explore more at: https://go.smartonlinecourse.co.in/
People Also Read:
View the Course Preview: Modules, Outcomes & Lectures
