APMG Artificial Intelligence Leadership and Strategy (AILS) - eLearning (exam included)
12.500,00 DKK
- 30 timer
Artificial Intelligence Leadership and Strategy (AILS) is a executive-focused certification designed to help business leaders navigate AI adoption, governance, investment, and organizational transformation. Rather than teaching technical development, AILS provides a practical decision-making framework for evaluating use-cases, building strategic roadmaps, managing risk, and guiding teams through change. Ultimately, the program equips managers, executives, and transformation specialists with the practical skills needed to turn AI opportunities into measurable value while maintaining regulatory compliance and ethical standards.
Hvad er inkluderet?
Language
Course and material in English
Level
Intermediate level for leaders
1 year access
to the online accredited eLearning
Study hours
30 hours estimated study time
Exam voucher included (APMG)
Digital badges issued upon successful completion
About the course
As AI rapidly becomes part of everyday business operations, organisations need more than technical specialists—they need leaders who can turn AI opportunities into measurable business value while managing risk, regulation, ethics, and organisational change. AILS provides a structured framework for doing exactly that.
The course develops practical capabilities across AI strategy, use-case evaluation, investment and procurement, governance, risk management, responsible AI, organisational change, and sustainable AI deployment. Participants learn how to assess AI opportunities, build an organisation-wide AI roadmap, make informed technology and vendor decisions, establish effective governance, and lead people through AI-enabled transformation.
Hvilke færdigheder vil du opnå?
At the end of this course, you will be able to:
Develop an organisational AI strategy
aligned with business objectives, values, risk appetite, and long-term priorities.
Identify and evaluate AI opportunities
using structured assessments of feasibility, business value, ROI, data readiness, process maturity, and risk.
Prioritise AI use cases and investments
by balancing potential productivity gains with organisational readiness, feasibility, cost, and unintended consequences.
Build and communicate an AI roadmap
that provides a practical path from experimentation and pilots to sustainable organisational adoption.
Make informed AI procurement decisions
evaluating build, buy, and partnership approaches as well as suppliers, platforms, contracts, and long-term risks.
Establish effective AI governance frameworks
that promote accountability, transparency, ethical behaviour, assurance, and responsible AI adoption.
Identify and manage AI-related risks
including bias, model drift, performance degradation, security concerns, regulatory exposure, and operational disruption
Lead AI-enabled organisational change
by engaging stakeholders, assessing workforce impacts, and supporting appropriate upskilling and reskilling.
Scale AI initiatives from pilot to production
while maintaining appropriate human oversight, monitoring, governance, and sustainable value creation.
Respond to evolving AI regulation and external expectations
enabling effective engagement with regulators, partners, industry bodies, employees, and the public.
Hvad vil du lære?
AI Leadership Literacy & Strategic Foundations
Lesson 1
- Understanding AI and its organisational significance
- AI capabilities, limitations, and business implications
- The evolving AI landscape
- AI's impact on people, culture, wellbeing, and trust
- The role and responsibilities of an AI leader
- Building organisational confidence in AI
- Strategic opportunities and challenges of AI adoption
Focus: Establishing the knowledge and mindset required to lead AI responsibly.
Developing an Organisational AI Strategy & Roadmap
Lesson 2
- Aligning AI strategy with organisational objectives
- Defining AI vision and strategic priorities
- Developing an AI adoption roadmap
- Organisational readiness and capability assessment
- Workforce and capability development
- Defining risk appetite
- Establishing quality assurance and monitoring approaches
- Communicating AI strategy to stakeholders
Focus: Turning AI ambition into a credible and actionable organisational strategy.
AI Use Case Discovery & Investment Prioritisation
Lesson 3
- Identifying AI opportunities
- AI use-case assessment
- Feasibility analysis
- Business value and ROI evaluation
- Data quality and availability
- Process maturity
- Risk and unintended consequences
- Prioritising AI investments
- Evaluating pilots and proof-of-concepts
Focus: Selecting AI initiatives that are viable, valuable, and aligned with organisational priorities
AI Procurement, Vendor Selection & Acquisition
Lesson 4
- AI procurement principles
- Build vs. buy vs. partner decisions
- Evaluating AI platforms and suppliers
- Vendor due diligence
- Contractual and assurance requirements
- Data ownership and resilience
- Vendor lock-in risks
- Exit strategies and long-term sustainability
- Making evidence-based AI investment decisions
Focus: Making informed and sustainable decisions when acquiring AI technologies and services.
AI Governance, Ethics & Responsible Leadership
Lesson 5
- Principles of responsible AI
- AI governance frameworks
- Accountability and decision rights
- Transparency and explainability
- Ethical AI considerations
- AI legislation and regulatory obligations
- Assurance frameworks
- Responsible procurement and deployment
- Embedding governance into organisational decision-making
Focus: Creating the governance structures needed to ensure AI is lawful, ethical, transparent, and accountable.
AI Risk Management & Organisational Resilience
Lesson 6
- AI risk identification and assessment
- Integrating AI risks into enterprise risk management
- AI security and operational risks
- Bias and fairness
- Model drift
- Performance degradation
- Incident response
- Audit readiness
- Continuous monitoring and assurance
- Building organisational resilience
Focus: Anticipating, monitoring, and responding to the risks associated with AI adoption.
Leading AI-Enabled Organisational Change
Lesson 7
- AI-driven organisational transformation
- Stakeholder engagement
- Workforce impact assessment
- Managing resistance to AI adoption
- Change communication
- Employee engagement
- Upskilling and reskilling
- Cross-functional collaboration
- Building an AI-ready culture
Focus: Helping people and organisations successfully adapt to AI-enabled ways of working.
Scaling AI Sustainably From Pilot to Production
Lesson 8
- Moving AI initiatives beyond experimentation
- Scaling successful pilots
- Operationalising AI solutions
- Human-AI collaboration
- Human oversight models
- Monitoring AI performance
- Continuous improvement
- Measuring business value
- Sustaining AI adoption over the long term
Focus: Converting promising AI experiments into sustainable, organisation-wide capabilities.
Regulatory Intelligence & External AI Representation
Lesson 9
- Understanding the evolving AI regulatory landscape
- Regulatory monitoring and preparedness
- Compliance considerations
- Data protection and privacy
- Engaging with regulators and industry bodies
- Communicating with external stakeholders
- Public trust and responsible AI
- Representing organisational AI positions effectively
Focus: Preparing leaders to navigate changing regulation and represent their organisations with confidence.
Integrated AI Leadership Practice & Professional Readiness
Lesson 10
- Integrating AI strategy, governance, risk, and transformation
- Applying leadership principles to realistic scenarios
- Developing an integrated AI leadership position
- Strategic decision-making exercises
- Portfolio and evidence development
- Professional reflection
- Preparing for assessment
- Applying AILS capabilities to real organisational challenges
Focus: Bringing the entire programme together and preparing participants to apply their knowledge in practice.
Who Should Enroll in this Program?
Senior Leaders & Executives
Digital & Transformation Leaders
Governance, Risk & Compliance Professionals
Technology & Innovation Decision-Makers
Operations & Functional Leaders
Prerequisites
No technical AI background is required.
AILS is designed for leaders and professionals rather than AI developers, so participants do not need advanced programming, data science, machine learning, or engineering skills.
Recommended profile: professionals with responsibility or aspirations for responsibility for organisational change, technology investment, AI adoption, governance, or business transformation.
For the best learning experience, participants should ideally have:
- An interest in AI and its organisational impact.
- Some professional experience in management, business, technology, transformation, governance, operations, or a related area.
- An understanding of basic business strategy and organisational decision-making.
- An interest in leading or supporting AI adoption within an organisation.
- The ability to engage with strategic, governance, risk, and change-management concepts.
Licensing
and accreditation
The Artificial Intelligence Leadership and Strategy course offered by AVC is provided under APMG accreditation based on the partner agreement and meets accreditation requirements.
Adding Value Consulting (AVC) is an Accredited Training Organization (ATO) of APMG International.
About APMG
APMG Group International is a global certification body that offers training courses and professional certifications in a variety of business disciplines. APMG accredits training organizations and manages qualification schemes for professionals. APMG certifications are recognized by employers and professionals worldwide as benchmarks of quality and expertise.
Regarding Equlity Policy
APMG makes every reasonable effort to ensure that candidates with access and/or support requirements can sit the examination within reasonable limits to ensure they have as equal a chance as any other candidate to pass the examination. Please find their full Equality Policy here for more and actual information here
Frequently Asked Questions
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