Responsible AI Governance (ISO 42001)
Establish AI governance frameworks, ethical AI practices, and compliance with ISO 42001 standards.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Frameworks and templates for immediate use
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Fri, 18 Dec 2026 · 16 hours · 2 days
Course at a glance
Responsible AI Governance
Duration: 16 hours · 2 days
Next batch: Fri, 18 Dec 2026
Format: Online live · Bengaluru classroom
Modules: 6 · Topics: 28
Level: Intermediate
VM labs: Not included
Trusted by leading experts
About the course
A strategic course for leaders establishing AI governance frameworks aligned with ISO 42001 standards. Learn to assess AI risks, build ethical practices, ensure compliance, and manage AI systems responsibly across their lifecycle.
Requirements
- Understanding of AI/ML fundamentals
- Organizational governance or compliance experience helpful
Who this course is for
AI leaders and managers
Compliance and risk officers
Data governance teams
CIOs and CTOs implementing AI
Prerequisites
Understanding of AI/ML fundamentals, organizational governance experience helpful
Level
Intermediate
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 16 hours · 2 days
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
Labs
This course does not include a dedicated virtual machine (VM) lab. Focus is on governance frameworks, policy design, risk assessment templates, and compliance checklists.
What you'll learn
- Implement AI governance frameworks
- Apply ISO 42001 standards
- Assess AI risks and bias
- Build ethical AI practices
- Ensure AI compliance and auditability
- Create AI policies and procedures
- Monitor AI systems responsibly
- Manage AI lifecycle governance
Skills you will gain
Governance
Ethics & Compliance
Operations
Tools and platforms covered
Course curriculum
M01 AI Governance Fundamentals
- Why AI governance matters
- Regulatory landscape (EU AI Act, ISO 42001, GDPR)
- Governance vs compliance vs ethics
- Organizational AI maturity assessment
- Stakeholder roles and responsibilities
🧪 Exercise: Assess your organization's AI governance maturity
M02 ISO 42001 Standards
- ISO 42001 overview and structure
- AI management system requirements
- Documentation and record-keeping
- Implementing ISO 42001 controls
- Audit and certification process
🧪 Exercise: Map ISO 42001 controls to your AI systems
M03 AI Risk Assessment
- AI risk taxonomy and classification
- Data quality and security risks
- Model performance and drift risks
- Operational and reputational risks
- Building risk assessment frameworks
🧪 Exercise: Conduct risk assessment for an AI use case
M04 Ethical AI and Bias Management
- AI ethics principles (fairness, transparency, accountability)
- Detecting and measuring bias
- Mitigation strategies and best practices
- Explainability and interpretability
- Human oversight requirements
🧪 Exercise: Evaluate bias in sample AI models
M05 AI Policies and Procedures
- Creating AI usage policies
- Model approval workflows
- Incident response procedures
- Change management for AI systems
🧪 Exercise: Draft AI governance policy for your organization
M06 Monitoring and Continuous Governance
- AI monitoring frameworks
- Performance metrics and dashboards
- Audit trails and documentation
- Continuous improvement processes
🧪 Exercise: Design monitoring dashboard for AI governance
Why train with us
Built around your workflows
Examples and frameworks adapted to your industry, regulatory environment, and AI maturity.
Practice-first
Every module includes templates, checklists, and exercises you can apply immediately.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, exercise completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the exercises receive a Learning Dots certificate of completion for Responsible AI Governance (ISO 42001).
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
Frequently asked questions
Who is this course for?
AI leaders and managers, Compliance and risk officers, Data governance teams, CIOs and CTOs implementing AI.
What are the prerequisites?
Understanding of AI/ML fundamentals, organizational governance experience helpful. Level: Intermediate.
Does this course include hands-on VM labs?
No dedicated VM lab is included. This course focuses on governance frameworks, policy design, and compliance assessment.
Does this course cover ISO 42001 certification?
This course teaches ISO 42001 principles and implementation. Organizational certification requires separate audit processes.
Can the curriculum be customised for our team?
Yes. Modules can be tailored to your industry, regulatory environment, and AI maturity.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
How long is the course?
16 hours · 2 days. Corporate batches can be split into half-day sessions.