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AI Strategy & Governance Foundation and Practitioner (The Leaders) Overview and Exam Details

Course syllabus

Exams

Who it’s for

What’s included

FAQs

AI Strategy and Governance Foundation and Practitioner (The Leaders) Training Course Outline

Module 1: AI ROI & Opportunity Matrix

  • AI Value Mapping
    • Enterprise AI Opportunity Identification Framework
    • Value-Chain Mapping Exercise
    • AI Use-Case Classification (Automation, Augmentation, Transformation)
    • AI Maturity Scoring across Departments
    • Prioritisation Matrix Design
  • Identifying Low-Hanging Fruit: Efficiency and Cost Reduction
    • Process Benchmarking Methodology
    • Cost-Baseline Modelling before AI Deployment
    • Productivity Uplift Estimation Methods
    • Risk-Adjusted Savings Calculations
    • Quick-win Implementation Scoring
  • Defining Moonshots: Revenue Innovation and Competitive Differentiation
    • AI-Enabled Business Model Innovation
    • Product and Service Redesign using AI
    • Competitive Advantage Modelling
    • Market Differentiation through Proprietary Data
    • Innovation Risk Analysis
  • True Cost of AI
    • Total Cost of Ownership (TCO) Framework
    • Infrastructure and Integration Cost Modelling
    • Governance and Compliance Overhead Costs
    • AI Lifecycle Cost Planning
    • Failure and Rollback Cost Scenarios
  • Calculating API and Compute Token Costs
    • Consumption Modelling Scenarios
    • Usage Forecasting Methods
    • Scaling Cost Sensitivity Analysis
    • Budget Control Thresholds
    • Enterprise Cost Governance Controls
  • Understanding the Hidden Human Cost of Training and Maintenance
    • AI Supervision and Oversight Requirements
    • Model Retraining and Monitoring Cycles
    • Workforce Change Management Investment
    • Governance Resourcing Models
    • Internal Capability Development Planning
  • Practical Lab: The ROI Audit
    • Using the ROI Calculator Across Five Business Departments
    • Comparing 12-Month Return Projections
    • Prioritising Departments for Initial AI Investment

Module 2: Risk, Security & The Law

  • Global Regulatory Landscape
    • Comparative AI Governance Models
    • Risk-based AI Classification Systems
    • Enforcement Trends and Penalties
    • Sector-Specific Compliance Implications
    • Regulatory Horizon Scanning
  • EU AI Act
    • High-risk AI System Obligations
    • Conformity Assessment Processes
    • Transparency and Documentation Requirements
    • Governance Accountability Mapping
    • Board-level Reporting Implications
  • UK AI Safety Framework
    • Pro-Innovation Regulatory Principles
    • Safety-by-Design Expectations
    • Accountability and Transparency Mechanisms
    • Regulatory Reporting Expectations
  • US Executive Orders and Federal Guidance
    • Federal Oversight Priorities
    • Procurement Implications
    • Responsible AI Policy Requirements
    • Risk Disclosure Expectations
  • Intellectual Property in the Age of AI
    • Ownership of AI-Generated Output
    • Contractual Ownership Allocation
    • Licensing Risk Mitigation
    • Commercial Exploitation Safeguards
  • Copyright Considerations and Data Leakage Risks
    • Training Data Exposure Risks
    • Prompt Confidentiality Controls
    • Internal Data Classification Policies
    • Data Retention and Audit Trails
  • Practical Lab: The Risk Register
    • Identifying the Top Three AI Risks by Industry
    • Designing a Mitigation Strategy for Each Risk
    • Building a Repeatable Risk Assessment Framework

Module 3: The Human Element & Change Management

  • Navigating AI Anxiety
    • Organisational Resistance Mapping
    • Trust-Building Leadership Models
    • Communication Sequencing Strategy
    • Psychological Safety Principles
  • Addressing the Job Displacement Narrative
    • Automation Impact Forecasting
    • Workforce Transition Risk Modelling
    • Ethical Restructuring Principles
    • Reputation Risk Management
  • Reskilling vs. Upskilling: Designing the Right Response
    • Enterprise Skills Gap Analysis
    • AI Capability Maturity Framework
    • Learning Pathway Development
    • Budget Allocation for Workforce Transformation
  • Organisational Design for an AI-Augmented Workforce
    • Restructuring Roles When Entry-Level Work Is Automated
    • Job Architecture Redesign
    • Governance Oversight Roles
    • Decision Authority Reallocation
    • Role Accountability Mapping
  • Building Human-AI Collaborative Team Structures
    • Human-in-the-Loop Governance
    • Decision Augmentation Frameworks
    • Escalation Design
    • Performance Measurement Alignment
  • Practical Lab: The Town Hall
    • Drafting a CEO Internal Memo on AI Adoption
    • Writing an AI Ethics Manifesto
    • Balancing Corporate Ambition With Employee Psychological Safety

Module 4: The 12-Month AI Roadmap

  • Procurement Frameworks
    • Build vs Buy vs Partner Evaluation Model
    • Vendor Scoring Matrix
    • Financial Comparison Modelling
    • Risk-Adjusted Procurement Decision-Making
  • Evaluating and Selecting AI Vendors
    • Technical Due Diligence Checklist
    • Data Security Validation Steps
    • Scalability and Interoperability Assessment
    • Contractual Risk Review
  • SOC2 Compliance and Technical Due Diligence
    • Security Control Verification
    • Audit Documentation Review
    • Data Governance Validation
    • Compliance Gap Assessment
  • AI Governance Committees
    • Establishing an Internal AI Council
    • Governance Charter Development
    • Stakeholder Representation Model
    • Reporting Cadence Design
  • Defining Roles, Responsibilities, and Escalation Pathways
    • RACI Matrix Development
    • Risk Escalation Workflows
    • Incident Response Governance
    • Board Reporting Structure
  • Practical Lab: The Roadmap Pitch
    • Building a Four-Quarter AI Implementation Roadmap
    • Setting Budgets and Defining KPIs
    • Designing a Day-One Pilot Programme
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AI Strategy & Governance Foundation and Practitioner (The Leaders) Examination 

To achieve the AI Strategy & Governance Foundation and Practitioner Certification, candidates will need to sit for an examination that evaluates their understanding of AI adoption at an organisational level, including governance, risk management, compliance, and value realisation. The exam tests the ability to align AI initiatives with business strategy, establish responsible AI frameworks, and lead sustainable AI transformation. The exam format is as follows: 

  • Question Type: Multiple Choice 
  • Total Questions: 50 
  • Total Marks: 50 Marks 
  • Pass Mark: 74%, or 37/50 Marks 
  • Duration: 60 Minutes 
  • Open Book/ Closed Book: Open Book 
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Who Should Attend this AI Strategy & Governance Foundation and Practitioner Course?

This AI Strategy & Governance Foundation and Practitioner Course equips delegates with the strategic insight and governance capability required to shape, approve, and implement responsible AI initiatives at an organisational level. This training can benefit a wide range of professionals, including:

  • Senior Leaders
  • Board Members
  • Chief Technology Officers
  • Chief Data Officers
  • Risk and Compliance Professionals
  • Digital Transformation Leaders
  • Strategy Consultants

Prerequisites of the AI Strategy & Governance Foundation and Practitioner Course

There are no formal prerequisites for attending this AI Strategy & Governance Foundation and Practitioner Course. However, familiarity with business operations, digital technologies, or organisational strategy will help delegates engage more fully with the course content. Prior exposure to AI tools or productivity platforms is beneficial but not required.

AI Strategy & Governance Foundation and Practitioner Course Overview

The AI Strategy & Governance Foundation and Practitioner Course equips delegates with a structured approach to planning, governing, and scaling AI initiatives across an organisation. Rather than focusing on technical development, this course explores the strategic, financial, regulatory, and organisational factors that drive successful AI adoption.

This course helps delegates to gain practical knowledge of AI value mapping, ROI assessment, risk governance, regulatory considerations, and organisational change management. They will also understand how responsible AI governance supports better decision-making, stronger compliance, and more effective enterprise-wide AI adoption.

This 4-Day course by The Knowledge Academy enables delegates to develop practical strategies for leading AI transformation within their organisations. Upon completion, delegates will be able to assess AI opportunities, mitigate governance and compliance risks, and create a structured, board-ready AI roadmap for sustainable business adoption.

AI Strategy & Governance Foundation and Practitioner Course Objectives

  • To understand core AI strategy and governance principles
  • To align AI initiatives with organisational goals and risk frameworks
  • To identify ethical, legal, and regulatory AI considerations
  • To design responsible AI governance structures and policies
  • To assess AI risks, controls, and compliance requirements
  • To implement AI oversight and performance monitoring mechanisms
  • To develop practical AI governance roadmaps for organisations

Upon completion of this AI Strategy and Governance Certification, delegates will have the strategic clarity and practical tools to lead AI initiatives responsibly. They will be equipped to engage confidently with boards, regulators, and teams on all matters relating to AI strategy, governance, and organisational readiness.

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What's Included in this AI Strategy & Governance Foundation and Practitioner Course?

  • World-Class Training Sessions from Experienced Instructors
  • AI Strategy & Governance Foundation and Practitioner Examination
  • AI Strategy & Governance Foundation and Practitioner Certificate
  • Digital Delegate Pack
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Train Your Workforce

Looking for AI Strategy & Governance Foundation and Practitioner (The Leaders) in-house or onsite training Birmingham. We specialise in corporate group training and bulk bookings for organisations of all sizes. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling.

Approved supplier to 53,514 organisations

The Knowledge Academy is an approved training supplier to 53,514 organisations across the UK, Europe, North America and Australia, so most buyers can book through their existing purchasing process with no new supplier setup.

Our Birmingham venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Birmingham is a large city in the West Midlands of England. It is the second largest and second most populous city in the UK behind London. It has an estimated population of nearly 1.2 million people. It is the ninth largest metropolitan area in Europe. The city is a major international commercial centre and an important transport, retail, events and conference hub for England. Education in the UK is a devolved matter, meaning each of the countries that constitute Great Britain each have separate systems operating under separate governments.  For example: the UK government is responsible for England, whilst the Scottish government, Welsh government and the Northern Ireland Executive are in charge of their own country.

Popular searched areas in and around Birmingham include:-

  • Aston
  • Birmingham International Airport
  • Bournville
  • Castle Bromwich
  • Coleshill
  • Edgbaston
  • Erdington
  • Handsworth
  • Harborne
  • Hockley
  • Hollywood
  • Kings Norton
  • Maypole
  • Moseley
  • Northfield
  • Selly Oak
  • Sheldon
  • Vauxhall
  • Yardley

Birmingham City Council is England's largest local education authority. It is responsible for around 450 schools including nurseries, primary schools, secondary schools and special schools. Most schools are 11-16/18 comprehensive schools while students have the choice of college or sixth form after they have sat their GCSE’s. Bishop Vesey's Grammar School, founded in 1527, is the one of the oldest and perhaps the most prestigious school in the city. Birmingham is a densely populated city for universities with five in the city. These universities are: Aston University, University of Birmingham, Birmingham City University, University College Birmingham and Newman University. There also campuses for the university of law, the BPP University and the Open University West Midlands. There are an estimated 79,000 full time students in the Birmingham area. This is more than any city outside of London in the UK. The University of Birmingham is a highly respected university and is ranked inside the top 100 universities in the world and is a top 15 university in the UK. The motto of this university is “persuasive, persistent and bold.” They claim to encourage and empower to turn their ideas into a reality in order to make things happen. The university has a tradition of innovative research and is always striving to push the boundaries. The Knowledge Academy, we offer over 50,000 classroom based training courses in the UK, including popular locations such as Birmingham.

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Ways to take AI Strategy & Governance Foundation and Practitioner (The Leaders) in Birmingham

Live Online

The same live course from home, with a live instructor and other delegates. Mirrors the classroom schedule.

Best for: starting soon, without travel.

4 days · next Mon 30 Nov 2026

See live online dates

Online Self-Paced

Study 24/7 on your own schedule through our learning platform, with progress tracking.

Best for: fitting study around work.

90 days of access

See self-paced options

Onsite

We bring the course to your team, at your premises, online or hybrid, on dates that suit you.

Best for: groups and bulk bookings.

Tailored to your team

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Package deals for AI Strategy & Governance Foundation and Practitioner (The Leaders) in Birmingham

Our training experts have compiled a range of course packages on a variety of categories in AI Strategy & Governance Foundation and Practitioner (The Leaders), to boost your career. The packages consist of the best possible qualifications with AI Strategy & Governance Foundation and Practitioner (The Leaders), and allows you to purchase multiple courses at a discounted rate.

AI Strategy & Governance Foundation And Practitioner (The Leaders) in Birmingham FAQs

What does the AI Strategy & Governance Foundation and Practitioner Course cover?

The course covers AI ROI and value mapping, global AI regulation, intellectual property and data risks, change management, workforce redesign, AI procurement, governance committee design, and the creation of a practical 12-month AI implementation roadmap.

Is this course suitable for senior leaders without a technical background?

Absolutely, this course is built for business leaders more than engineers. There is no coding, no technical jargon, and no prior AI experience required. Everything is framed around strategy, governance, ROI, and organisational decision-making.

Who should take the AI Strategy & Governance Foundation and Practitioner Course?

This course is ideal for senior leaders, directors, consultants, and managers who are responsible for making or influencing decisions about AI adoption. It is particularly relevant for those working in strategy, risk, compliance, HR, or digital transformation.

What is Responsible AI?

Responsible AI refers to the ethical and accountable development, deployment, and governance of AI systems. It encompasses principles such as fairness, transparency, privacy, human oversight, and compliance with applicable laws and organisational values.

What is a Human-in-the-Loop approach to AI governance?

Human-in-the-Loop (HITL) governance means designing AI systems and workflows so that human review or approval is required before critical decisions or actions are taken. It is a key principle in responsible AI deployment and is addressed throughout this course.

How will I benefit after the AI Strategy & Governance Training?

You will leave with completed, ready-to-use deliverables: an ROI audit across your business departments, a risk register with mitigation strategies, a drafted AI Ethics Manifesto, and a four-quarter AI implementation roadmap with budgets and KPIs.

How will the AI Strategy & Governance Course help me respond to board-level AI questions?

This course directly addresses the questions boards are now asking, from AI investment returns and risk exposure to regulatory compliance and governance oversight. You will gain the language, the frameworks, and the structured outputs needed to brief your board with clarity and credibility, moving well beyond awareness into informed strategic leadership.

How does this course help us stay compliant with the EU AI Act and other regulations?

This course explores the global AI regulatory landscape, including the EU AI Act, the UK AI Safety Framework, and relevant US Executive Orders on AI. You will understand how each framework classifies AI risk, the obligations placed on organisations, and how to establish a proactive compliance posture.

How does the AI Strategy & Governance Course help me calculate AI ROI and justify investment to stakeholders?

The AI Strategy & Governance Foundation and Practitioner Course addresses this directly through a structured ROI framework. You will assess AI opportunities across key business functions, balance API and compute costs against efficiency and revenue gains, and factor in training and maintenance impacts.

How does the AI Strategy & Governance Course help me address employee concerns about job displacement?

This part of the course focuses on managing workforce anxiety around AI adoption with clarity and empathy. You will learn how to respond to concerns about job security using evidence-based insights, while designing practical reskilling and upskilling pathways that future-proof your teams.

Will the AI Strategy & Governance Course help us understand why our AI pilots have failed to scale to enterprise-wide adoption?

Yes. A common reason AI pilots fail to scale is the lack of governance, organisational readiness, and a clearly connected business case. This course addresses all three. You will learn how to design phased rollouts, establish internal AI oversight structures, define measurable KPIs, and build the change management capability required to move from pilot success to enterprise-wide adoption.

What is an AI Council and does our organisation actually need one?

An AI Council is a structured internal body responsible for AI oversight, policy, risk management, and decision approval. In the AI Strategy & Governance Course, you will learn when it is necessary, how to design it, and how to align it with your organisational strategy.

Why choose The Knowledge Academy in Birmingham over others?

The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this certification.

What is the cost/training fees for AI Strategy & Governance Foundation and Practitioner (The Leaders) in Birmingham?

The training fees for AI Strategy & Governance Foundation and Practitioner (The Leaders) in Birmingham starts from £2495

Which is the best training institute/provider of AI Strategy & Governance Foundation and Practitioner (The Leaders) in Birmingham?

The Knowledge Academy is one of the Leading global training provider for AI Strategy & Governance Foundation and Practitioner (The Leaders).

What are the best Artificial Intelligence Courses courses in Birmingham?

Please see our Artificial Intelligence Courses courses available in Birmingham

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