- Data Governance & Responsible AI
Accredited by Averest
400 Learners
ADVANCED
Data Governance & Responsible AI is an advanced enterprise-level program designed to help organizations build robust data governance frameworks and implement responsible AI systems aligned with global regulatory, ethical, and risk standards.

Accreditation With .
- Data Governance & Responsible AI Overview
The course integrates data strategy, AI governance, compliance, privacy, and enterprise risk management into a unified framework.
What You Will Learn ?
- Design enterprise data governance architecture
- Establish data ownership, stewardship, and accountability
- Integrate AI governance into GRC structures
- Manage data quality, integrity, and lineage
- Mitigate bias and ethical risks in AI systems
- Align AI and data practices with global regulations
- Develop explainability and auditability mechanisms
- Build responsible AI implementation roadmaps
Course Key Features
- Enterprise data governance framework templates
- Responsible AI policy blueprints
- Risk mapping tools
- Regulatory alignment checklists
- Bias assessment methodologies
- Governance model design workshop
- Case studies from finance, healthcare, and public sector
- Implementation roadmap toolkit
Training Options
In Class
- Data governance operating model lab
- AI governance policy drafting workshop
- Risk scenario simulation
- Cross-functional accountability mapping
- Enterprise implementation blueprint session
Online Instructor- Led
- Interactive governance framework design
- Bias detection scenario exercises
- Regulatory compliance case analysis
- AI risk mapping workshops
- Live Q&A sessions
Corporate Training
- A highly customized Corporate Training service designed exclusively for corporate employees and teams. Our training programs are meticulously planned and executed to fill knowledge and experience gaps, helping organizations achieve their business goals. With a comprehensive assessment and tailored curriculum, our experienced trainers deliver modules in areas of accreditation requirements as well as complementary practices such as leadership, communication, and technology adoption. Official certification exam voucher is provided upon completion, ensuring professional growth and measurable results. Contact us now to partner with Averest Training in order to bridge the gaps in your workforce and unlock the full potential of your team.
Schedules
Filters:
No results found for selected filters.
- Data Governance & Responsible AI Training Cirriculum
Eligibility .
• Chief Data Officers
• Chief Risk Officers
• Compliance & Governance Professionals
• AI & Data Leaders
• Digital Transformation Directors
• Regulators & Policy Advisors
• Enterprise Architects
Pre-requisites .
• Basic understanding of data management concepts
• Exposure to AI or analytics initiatives
• Familiarity with governance or risk management
- Data Governance & Responsible AI Course Content .
+
Module 1 : Foundations of Data Governance.- Data governance vs data management
- Data ownership and stewardship roles
- Data governance operating models
- Data lifecycle management
- Enterprise data policies
+
Module 2 : Data Quality & Integrity Management.- Data quality frameworks
- Data lineage and traceability
- Master data management (MDM)
- Metadata management
- Data catalog and documentation
+
Module 3 : Regulatory & Compliance Landscape.- GDPR and data protection principles
- EU AI Act overview
- NIST AI Risk Management Framework
- ISO/IEC AI governance standards
- Cross-border data considerations
+
Module 4 : Responsible AI Principles.- Fairness and bias mitigation
- Transparency and explainability
- Human oversight frameworks
- Ethical decision-making in AI
- Responsible data usage
+
Module 5 : AI Governance Architecture.- AI governance committees
- Model risk management
- AI policy design
- Third-party AI vendor oversight
- Integration with enterprise GRC
+
Module 6 : Risk Management & Controls.- AI lifecycle risk mapping
- Operational risk in AI systems
- Cybersecurity implications
- Reputational and legal risk
- Control testing and monitoring
+
Module 7 : Implementation Roadmap & Maturity.- Data governance maturity models
- Responsible AI readiness assessment
- Roadmap design
- KPI and compliance metrics
- Continuous monitoring frameworks
You May Be Interested

