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AI Governance: Policies, Controls & Risk Control

Frameworks, Policies, Ethics, and Governance Controls for Responsible and Shadow AI

AI Governance: Policies, Controls & Risk Control

Course Schedule

Classroom

Online

Training Introduction

Artificial Intelligence is reshaping how organisations innovate, operate, and make decisions. As AI systems become more embedded in strategic and operational processes, the need for strong AI Governance frameworks has intensified. Organisations are under growing pressure to ensure transparency, accountability, fairness, and regulatory compliance while managing AI-related risks—including the emerging challenge of Shadow AI.

The AI Governance: Policies, Controls & Risk Control Training Course provides a comprehensive and structured approach to establishing effective governance mechanisms for Artificial Intelligence. This course explores governance frameworks, policy development, ethical standards, regulatory alignment, and control mechanisms necessary to oversee both approved AI systems and informal or Shadow AI usage.

Participants will examine global standards such as the EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001, while learning how to design practical governance structures tailored to their organisations. Through case studies, workshops, and applied frameworks, this AI Governance Training Course equips professionals to manage AI risk, strengthen compliance, and ensure responsible and sustainable AI adoption.

Key Focus Areas of This Course:

  • Establishing structured AI Governance frameworks and oversight models
  • Developing AI policies, acceptable-use standards, and control mechanisms
  • Managing AI risk, bias, privacy, and algorithmic transparency
  • Governing generative AI systems and Shadow AI exposure
  • Aligning AI governance with global regulations and compliance obligations
  • Designing accountability structures and audit processes for responsible AI

What are the goals?

This AI Governance Training Course enables participants to design, implement, and oversee governance structures that ensure responsible AI deployment. It bridges policy development, compliance, risk management, and ethical leadership within a structured governance framework.

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

  • Understand core principles of AI governance, ethics, and responsible AI implementation
  • Develop AI governance frameworks aligned with organisational strategy
  • Identify and mitigate AI-related risks, including bias, privacy, safety, and operational risks
  • Apply global standards such as the EU AI Act, NIST AI Framework, and ISO/IEC 42001
  • Build governance policies that promote transparency, accountability, and fairness
  • Conduct AI risk assessments, audits, and impact evaluations
  • Establish governance roles, oversight committees, and accountability structures
  • Integrate Shadow AI monitoring and control into enterprise governance models
  • Lead compliant and trustworthy AI adoption across different sectors

Who is this Training Course for?

This AI Governance: Policies, Controls & Risk Control Training Course is designed for professionals responsible for overseeing AI systems, compliance, risk management, and ethical innovation. It is particularly valuable for those leading governance initiatives in both public and private sector organisations.

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Chief technology, information, and data officers, directors, and senior managers
  • AI and data governance professionals
  • Risk management, compliance, and internal audit professionals
  • Policy makers and public sector officials
  • AI and machine learning engineers transitioning into governance roles
  • Digital transformation leaders overseeing AI adoption
  • Legal and regulatory affairs specialists
  • Professionals responsible for ethical oversight and responsible innovation

How will this Training Course be Presented?

This AI Governance Training Course will utilise proven adult learning techniques to ensure strong engagement, comprehension, and practical application. The course combines structured lecture-led sessions with interactive group discussions to clarify governance frameworks, regulatory obligations, and risk control mechanisms.

Participants will engage in practical workshops including AI risk assessments, bias analysis exercises, regulatory impact reviews, and governance blueprint design. Real-world case studies will highlight governance failures and best practices, including Shadow AI management and generative AI oversight.

The course culminates in a capstone exercise where participants design a comprehensive AI governance blueprint tailored to their organisational environment. This interactive and structured approach ensures attendees leave with actionable frameworks, policy templates, and implementation roadmaps.

The Course Content

Day 1: Foundations of AI Governance & Responsible AI

  • Understanding AI governance: definitions, scope, and importance
  • Key drivers for AI governance in the public and private sectors
  • Overview of AI ethics principles: fairness, accountability, transparency, privacy
  • Types of AI systems and associated governance challenges
  • Case studies: governance failures (Amazon recruiting AI, COMPAS, etc.)
  • Introduction to global AI governance models and frameworks
  • Building the business case for responsible AI
  • Workshop: Mapping AI governance needs in your organisation

Day 2: Regulatory Landscapes, Standards & Compliance Requirements

  • Overview of global regulations
  • AI classifications and compliance obligations
  • Data protection laws and AI (GDPR, regional regulations)
  • Governance requirements for high-risk AI systems
  • AI documentation, transparency, and reporting obligations
  • Building internal compliance frameworks
  • Workshop: Conducting a regulatory impact assessment

Day 3: AI Risk Management, Bias, & Algorithmic Transparency

  • Understanding AI risks: technical, operational, ethical, and societal
  • Bias detection, fairness assessment, and mitigation strategies
  • Explainable AI (XAI) methods and tools
  • Governance for generative AI models and large language models
  • AI model lifecycle management and monitoring
  • Risk registers, AI control checkpoints, and audit trails
  • AI system testing and validation frameworks
  • Workshop: Conducting an AI risk assessment & bias analysis

Day 4: Designing & Implementing AI Governance Frameworks (Including Shadow AI)

  • Governance structures: committees, roles, and oversight responsibilities
  • Accountability models for AI ownership and decision-making
  • Understanding AI Shadow: causes, organisational blind spots, and governance gaps
  • Why Shadow AI emerges despite existing IT and AI policies
  • Integrating Shadow AI oversight into governance structures
  • AI governance frameworks: NIST, ISO, and organisational models
  • Creating AI governance policies, acceptable-use policies, and standard operating procedures
  • Controlling employee use of public and generative AI tools
  • Procurement governance: evaluating and approving third-party AI vendors
  • Managing Shadow AI in SaaS platforms and embedded AI tools
  • Human-in-the-loop (HITL) and human-on-the-loop (HOTL) controls
  • Incident response and escalation procedures for Shadow AI misuse or failure
  • Building governance for generative AI & autonomous systems

Day 5: Strategy, Maturity Models & Future Trends

  • Developing an enterprise AI governance strategy
  • AI maturity assessments and roadmap development
  • Aligning AI governance with organisational values and ESG goals
  • Integrating AI governance into digital transformation programs
  • Preparing for future trends: autonomous systems, AGI, and next-gen regulations
  • Capstone exercise: Designing a complete AI governance blueprint
  • Certificate examination / assessment
  • Closing session: Action plan for AI governance implementation

Providers and Associations

Anderson

Anderson

Aztech Training

Aztech Training

COPEX

COPEX

Frequently Asked Questions

Quick answers to common questions about this training course.

Absolutely. Coventry Academy provides customised in-house training solutions for organisations seeking a tailored learning experience. The AI Governance: Policies, Controls & Risk Control training course can be adapted to reflect your organisation's objectives, industry requirements, operational challenges, and strategic priorities. Delivered exclusively for your team, customised training enables organisations to maximise relevance, encourage collaboration, and achieve targeted development outcomes. Our team will be pleased to discuss your requirements and develop a solution that aligns with your goals.

Absolutely! If you’re attending one of our courses at an international venue, we can help
with hotel reservations and entry visas. Just reach out to our Customer Service team:

  • Phone: +971 4 420 8304
  • Fax: +971 4 420 8304
  • Email: info@coventryacademy.com

No prior experience is required to attend the AI Governance: Policies, Controls & Risk Control training course. The course is designed to accommodate participants from diverse professional backgrounds and varying levels of experience. While some familiarity with the subject matter may help participants gain additional value from certain discussions and activities, the course content is structured to ensure that both newcomers and experienced professionals can fully engage with the learning experience and benefit from the training.

Our dedicated support team is available to assist you with any questions regarding the AI Governance: Policies, Controls & Risk Control training course, including course content, scheduling, registration, corporate bookings, and customised training solutions. We are committed to providing prompt and professional assistance throughout your learning journey.

📞 Phone: +971 58 840 7925

📧 Email: info@coventryacademy.com

🌐 Website: coventryacademy.com

Registering for a course is super easy! Here’s how you can do it:

  • Online: Pick your course, hit the "REGISTER" button, fill out the form, and
    submit it.
  • Email: Drop us a line with your details at info@coventryacademy.com.
  • Phone: Give us a call at +971 4 420 8304 to book your spot.
  • Fax: Fill in the booking form (you’ll find it in our brochures, flyers, or catalogue)
    and fax it to [+971 4 420 8304](tel:+97144208304).

The AI Governance: Policies, Controls & Risk Control training course is designed to be practical, engaging, and highly interactive. Participants benefit from a dynamic learning environment that combines expert-led presentations, facilitated discussions, case studies, practical exercises, and collaborative learning activities. The focus is on developing knowledge that can be applied immediately within the workplace, ensuring participants gain both valuable insights and practical skills that support improved professional performance.

Your course fees cover:

  • For classroom courses: printed materials, lunch, and refreshments.
  • For online courses: all materials sent to you by email.
  • A certificate of completion or attendance.

You’ll need to make payment before the course starts. Here are your options:

  • Bank draft
  • Cash
  • Credit card
  • Wire transfer

Heads up: If we don’t receive payment before the course begins, we may have to deny
admission.

We delivers training courses in carefully selected professional venues that provide a comfortable and productive learning environment. Classroom-based courses are typically hosted in premium international venues with modern facilities and dedicated training spaces designed to support effective learning. Participants also benefit from a professional setting that encourages networking, collaboration, and knowledge sharing with peers from diverse industries and backgrounds.

The AI Governance: Policies, Controls & Risk Control training course is designed for professionals seeking to strengthen their knowledge, enhance their capabilities, and achieve greater impact within their organisations. It is suitable for managers, supervisors, team leaders, technical specialists, consultants, and professionals at all career stages who wish to expand their expertise and stay current with industry developments. Whether you are looking to advance your career, improve workplace performance, or prepare for new responsibilities, this course provides valuable knowledge and practical insights to support your professional growth.

Our courses are led by top-notch international instructors. They’re not just academically qualified—they’ve also got years of real-world experience. They bring practical insights and deep knowledge to every session, making your learning experience truly valuable!

Yes. Participants who successfully complete the AI Governance: Policies, Controls & Risk Control training course will receive a Coventry Academy Certificate of Completion, recognising their commitment to professional development and continuous learning. This certificate serves as formal evidence of participation and achievement and can support career progression, professional credibility, and ongoing development objectives. Where applicable, details regarding professional development credits or accreditation will be provided within the course information.

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