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Key points about this course

Artificial Intelligence Leadership and Strategy (AILS) Training Training Course

Title: Artificial Intelligence Leadership and Strategy (AILS)

Duration: 30 Hours

Certification Exam(s): Artificial Intelligence Leadership and Strategy

Accredited: Yes

Pre-course Reading: None

Rating: 5 Star

 

Course Information

 

Artificial Intelligence Leadership and Strategy (AILS) Training Course

Artificial intelligence is creating new opportunities for organisations, but successful adoption requires more than technical capability. Leaders need to set a clear direction, make sound investment decisions, establish appropriate governance, manage risk and guide their people through change. 

The AI Leadership and Strategy (AILS) course is a comprehensive pathway designed for leaders who are responsible for, or aspire to influence, the direction, governance and oversight of AI within their organisation. The course develops practical leadership capability across AI strategy, governance, procurement, risk management, organisational change and regulatory engagement. 

The course progresses from strategic foundations through responsible build decisions to sustainable deployment and professional readiness. 


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  2. Physical handbook(s) included (where applicable).
  3. No more than 12 delegates in public classroom training.
  4. Delegates are never dumped after payment has been made.
  5. Delegate friendly terms and conditions (including refund policy).
  6. The best learning experience delivered, always !

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12 Months Access

Exam Included

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12 Months Access

Exam Included

1595

1095

(ex. VAT)

Book Now

Select a Month

There are no training slots currently available for Virtual Classroom method of delivery. Why not check Classroom slots?

Alternatively, please Contact us and we may be able to help you.

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Select a Month

There are no training slots currently available for Classroom method of delivery. Why not check Virtual Classroom slots?

Alternatively, please Contact us and we may be able to help you.

Course Information

Overview

AILS is built for the AI leadership moment. It focuses on the capability leaders need to move from AI awareness to informed organisational action. 

Across ten modules, learners develop the ability to shape AI policy and strategy, identify and prioritise valuable use cases, evaluate suppliers and procurement options, establish responsible governance, oversee enterprise AI risk, lead workforce change, scale pilots into sustainable operations and engage credibly with external stakeholders. 

Upon completing the course, delegates should be able to: 

  • Develop and communicate an AI strategy aligned with organisational objectives and sustain senior stakeholder commitment through implementation.
  • Commission and critically evaluate AI feasibility and return-on-investment assessments using structured evidence and consideration of unintended consequences.
  • Apply structured evaluation to AI vendor and acquisition decisions, including build, buy or partner choices, contractual risk, data ownership and long-term resilience.
  • Sponsor and operate an AI governance framework that supports lawful, ethical and accountable use of AI.
  • Integrate AI risk into enterprise risk management, including incident response, audit readiness and ongoing monitoring for issues such as drift and bias.
  • Lead AI-enabled organisational change, assess workforce impacts, engage stakeholders and support targeted upskilling and reskilling.
  • Scale AI from pilot activity into sustainable operational use with appropriate human oversight, monitoring and organisational learning.
  • Represent the organisation credibly with regulators, sector bodies, partners and the public while preparing for evolving AI regulation.
Course Outline

The ten-module curriculum progresses through Strategy, Build, Deployment and Mastery.

  1. AI Leadership Literacy and Strategic Foundations 
    • Core AI concepts, capabilities and limitations, leadership identity for AI adoption, and implications for workplace culture, wellbeing and organisational trust.
  2. Developing Organisational AI Strategy and Roadmap 
    • Building a credible AI strategy, including workforce development, risk appetite, monitoring frameworks and quality assurance grounded in organisational context.
  3. AI Use Case Discovery and Investment Prioritisation 
    • Evaluating opportunities through feasibility, ROI, data quality and process maturity, while considering unintended consequences before investment.
  4. AI Procurement, Vendor Selection and Acquisition Decisions 
    • Build, buy or partner decisions; vendor lock-in; contractual assurance; data resilience; and exit planning for sustainable investment.
  5. AI Governance, Ethics and Responsible Leadership 
    • Legislation, ethical AI principles, accountability structures, assurance frameworks and embedding responsible AI into decision-making.
  6. AI Risk Management and Organisational Resilience 
    • Enterprise AI risk, incident response, audit readiness, model drift, emerging bias, degraded performance and ongoing security vigilance.
  7. Leading AI-Enabled Organisational Change 
    • Cross-functional transformation, stakeholder engagement, workforce impact, change communication, upskilling and reskilling.
  8. Scaling AI Sustainably: From Pilot to Production 
    • Moving from experimentation to operations using human oversight, human-AI collaboration, monitoring and organisational learning.
  9. Regulatory Intelligence and External AI Representation 
    • Monitoring regulation, building compliance readiness and engaging competently with regulators, sector bodies and the public.
  10. Integrated AI Leadership Practice and Professional Readiness 
    • Synthesising the course into a coherent leadership position and preparing for End-Point Assessment through scenarios, portfolio development and professional reflection.

Who Should Attend?

  • Heads of Department and Senior Managers 
    • Leaders in functions such as Operations, Finance, HR and Marketing who need to define or execute AI strategy for their function or business unit.
  • Compliance and Governance Leads 
    • Professionals responsible for safe, ethical and human-centred AI adoption who need robust governance, assurance and regulatory approaches.
  • Aspiring AI Leaders 
    • Professionals seeking the AI leadership literacy and strategic decision-making capability needed in increasingly data-enabled organisations.
Prerequisites

There are no formal pre-requisite for enrolling into this course.

A Level 5 (UK) leadership programme focused on AI strategy, governance, procurement, risk, organisational change and regulatory engagement.

It is designed primarily for leaders rather than technical practitioners. Its emphasis is strategic direction, responsible governance, investment decisions, risk and change leadership.

Yes. Governance, ethics, accountability, assurance, risk, data protection, regulation and human oversight are integral parts of the curriculum.

The final module consolidates learning and includes scenario practice, portfolio development and professional reflection for End-Point Assessment readiness.

Following are the AILS exam details:
- 60 multiple choice questions
- 90 minutes
- Pass mark: 42 out of 60 (70%)
- Closed Book (no reference materials permitted)
- Available with online proctoring only
- Available in English only
- Candidates must complete e-learning/ self-paced course to be eligible for the exam attempt.

This Artificial Intelligence Leadership and Strategy (AILS) course is fully self-paced, with 12 months access, and it will include following:

  • Training materials access for 12 months (in e-learning/ self-paced format)
  • Official AILS exam (to be taken within 12 months from course start date)
  • Mock exam with unlimited attempts

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