Master AI risk assessment, compliance, and governance strategies.

Provided by: Professional Evaluation and Certification Board (PECB)

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Master AI risk assessment, compliance, and governance strategies.

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Course Overview:

AI technologies are reshaping industries, making AI risk management, compliance, and security essential for organizations worldwide. The "AI Risk Management Certification: Ensuring Compliance & Security Training Course" provides participants with in-depth knowledge of AI risk frameworks, governance best practices, and compliance strategies to ensure ethical AI deployment. This course covers regulatory frameworks such as the NIST AI Risk Management Framework, EU AI Act, ISO AI risk standards, and US AI regulatory guidelines. Attendees will gain expertise in AI security best practices, risk assessment, fraud detection, and compliance monitoring, equipping them to safeguard AI-driven systems while ensuring regulatory adherence and ethical responsibility.

Target Audience:

Chief Risk Officers (CROs)
Compliance Officers
Data Protection Officers (DPOs)
AI Governance Specialists
Risk Management Professionals
Cybersecurity Experts
AI Engineers & Developers
Regulatory & Legal Compliance Officers

Targeted Organizational Departments:

Risk & Compliance Management
Cybersecurity & IT Governance
AI/ML Development Teams
Legal & Regulatory Affairs
Data Privacy & Security Teams
Financial Risk & Fraud Prevention Units

Targeted Industries:

Finance & Banking
Healthcare & Pharmaceuticals
Technology & AI Development
Government & Public Sector
Telecommunications & Data Protection
Retail & E-commerce

Course Offerings:

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

Apply AI risk management frameworks and security best practices
Conduct AI risk assessments and mitigate potential threats
Ensure AI regulatory compliance with GDPR, CCPA, and global standards
Utilize AI-driven risk analysis and forecasting models
Implement AI lifecycle governance and risk reduction strategies
Address AI fraud detection compliance and cybersecurity risks
Monitor AI accountability through ethical risk management strategies

Training Methodology:

This course incorporates expert-led lectures, real-world case studies, interactive workshops, and hands-on AI risk assessments. Learning methodologies include:

Scenario-based AI risk mitigation exercises
Live AI compliance audits using industry standards
Group workshops on AI governance and ethical considerations
Q&A sessions on AI security best practices and regulatory policies

Course Toolbox:

AI risk assessment checklists
Compliance framework guides (NIST, EU AI Act, ISO)
AI governance and security best practice templates
Case studies on AI fraud detection and compliance monitoring
Online resources for AI regulatory policy updates

Course Agenda:

Day 1: Introduction to AI Risk Management

Topic 1: Fundamentals of AI Risk Management
Topic 2: AI Governance and Compliance Frameworks
Topic 3: Overview of NIST AI Risk Management Framework
Topic 4: EU AI Act and ISO AI Risk Standards
Topic 5: AI Ethics and Responsible AI Use
Topic 6: AI Regulatory Compliance and Data Privacy Laws
Reflection & Review: Summary of key learnings and Q&A

Day 2: AI Risk Identification & Assessment

Topic 1: AI Risk Identification Strategies
Topic 2: AI Risk Assessment Techniques and Tools
Topic 3: AI-Driven Risk Analysis and Forecasting Models
Topic 4: AI Lifecycle Governance and Risk Monitoring
Topic 5: AI Security Best Practices for Risk Reduction
Topic 6: Compliance Certification and Regulatory Auditing
Reflection & Review: Discussion on AI risk identification case studies

Day 3: AI Security & Compliance Measures

Topic 1: AI System Security Training and Implementation
Topic 2: AI Compliance Monitoring and Governance
Topic 3: AI Fraud Detection and Risk Mitigation Strategies
Topic 4: AI Cybersecurity Compliance and Threat Management
Topic 5: AI Implementation Risk Analysis and Management
Topic 6: AI Accountability Best Practices in Enterprises
Reflection & Review: Best practices for AI security and compliance

Day 4: AI Governance & Ethical Considerations

Topic 1: AI Governance Training and Corporate Policies
Topic 2: AI Ethics and Risk Management in Decision-Making
Topic 3: AI Impact Assessment and Sustainability Standards
Topic 4: AI-Based Risk Prevention and Governance Strategies
Topic 5: AI Regulatory Policy Updates and Future Trends
Topic 6: AI Risk Reduction Strategies and Continuous Improvement
Reflection & Review: Ethical dilemmas and compliance challenges

Day 5: AI Risk Mitigation Strategies & Certification Exam

Topic 1: AI Risk Mitigation Strategies in Industry Applications
Topic 2: AI Business Risk Management and Compliance Integration
Topic 3: AI Regulatory Requirements and Auditing Processes
Topic 4: AI Sustainability and Long-Term Risk Governance
Topic 5: AI Risk Analytics Certification and Career Advancement
Topic 6: Final Project: AI Risk Management Framework Implementation
Reflection & Review: Course recap, key takeaways, and certification exam

FAQ:

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

No prior certification is required. However, a basic understanding of AI technologies, risk management principles, or compliance frameworks is beneficial.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day's session lasts approximately 4-5 hours, totaling 20-25 hours of instruction over five days.

How does AI risk management differ from traditional risk management?

AI risk management involves dynamic, real-time risk mitigation using machine learning, data analytics, and automated monitoring, whereas traditional risk management primarily relies on historical data and manual analysis.

How This Course is Different from Other AI Risk Management Courses:

Unlike other courses that provide only theoretical knowledge, this training offers hands-on AI risk assessments, interactive compliance workshops, and real-world AI governance case studies. Participants will gain practical experience in AI security best practices, compliance monitoring, and AI-driven risk analysis, making them industry-ready AI risk management professionals. The course integrates insights from NIST AI Risk Management Framework, ISO AI risk standards, and the EU AI Act, ensuring a globally recognized certification in AI risk governance.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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