Auditing and Governance Risk and Compliance
Advanced Risk, Reliability & Safety Management Techniques
26–30 Oct 2026 · Dubai
View courseLM-003
Artificial Intelligence (AI) for Leaders and Managers
Intensive 5-day course · English, Arabic & European languages
- Duration5 days
- FormatClassroom or live online
- LanguageEnglish, Arabic or a European language
- CertificateARUK Certificate of Attendance
- FeeFrom £1,800 + VAT
Leaders and managers examine AI strategy and business applications through ten modules scheduled across five days. Delegates consider decision-making, innovation and operational performance alongside governance and cybersecurity risks. Workshops and simulations support work on implementation roadmaps, organisational change and evaluating the business value of AI initiatives.
Classroom
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- 27–31 Dec 2027Geneva£4,200 + VAT
Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%
Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options
Online (live)
With a trainer, on dates to suit your team
This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.
£1,850 + VAT
Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%
Special requests
Tailor this course
Pick what you want changed and we’ll come back with a proposal and price.
Course overview
Artificial intelligence (AI) is changing how companies operate and compete. Leaders need to know how these tools can improve their operations, but they also need to understand the associated risks. Without a clear strategy, adopting new software can lead to wasted investment, ethical breaches, and cybersecurity vulnerabilities.
This programme gives managers the practical knowledge they need to lead technological change. Across the modules, delegates explore how machine learning, natural language processing, and predictive analytics work in practice. They look at specific AI applications across finance, human resources, and supply chain management. The sessions focus heavily on building business cases and measuring the return on investment for these new tools.
Delegates spend time drafting their own strategic roadmaps. They practice evaluating ethical scenarios and planning for business continuity in case of software failure. To finish, they leave with a clear plan to upskill their teams, overcome resistance to change, and build a culture that uses data to make better decisions.
Course objectives
By the end of the course, delegates will be able to:
- Explain artificial intelligence concepts and their business applications
- Identify opportunities for implementation across different departments
- Improve strategic and operational decision-making
- Lead digital transformation initiatives effectively
- Address governance, ethics, and cybersecurity risks
- Build a culture focused on innovation and data
- Evaluate software performance and business value
- Develop an adoption roadmap aligned with corporate goals
Target competencies
- Artificial intelligence awareness
- Strategic leadership
- Digital transformation
- Innovation management
- Data-driven decision-making
- Risk management
- Change leadership
- Business strategy
Who should attend
This course suits:
- Senior executives
- Department managers
- Digital transformation leaders
- Strategy and innovation professionals
- Project managers
- Operations managers
- Future business leaders
Training methodology
- Uses an interactive approach with presentations and group discussions.
- Includes practical exercises, business simulations, and strategic workshops.
- Features real-world case studies and live software demonstrations.
Course modules
- Module 1
AI fundamentals and digital transformation
- Understanding concepts and terminology
- Distinguishing AI, automation, machine learning and deep learning
- The evolution of technology in modern business
- Key drivers accelerating adoption
- The role of software in digital transformation
- Opportunities and business challenges
- Introduction to technology-enabled organisations
- Module 2
Data and analytics for AI-supported decisions
- The importance of data in automated systems
- Overview of structured and unstructured data
- Principles of data-driven decision-making
- Predictive analytics and forecasting
- Business intelligence tools
- Improving operational efficiency through analytics
- Workshop: Identifying decisions enhanced by software
- Module 3
AI applications across business functions
- Uses in finance and accounting
- Applications in human resources and talent management
- Tools for marketing and customer engagement
- Uses in operations and supply chain management
- Intelligent customer support and chatbots
- Real-world examples of data-driven organisations
- Case study discussion
- Module 4
Machine learning and emerging AI technologies
- Introduction to machine learning concepts
- Supervised and unsupervised learning
- Natural language processing and computer vision
- Generative tools and intelligent assistants
- Integrating AI with the Internet of Things (IoT)
- Cloud computing platforms
- Understanding limitations and practical challenges
- Module 5
Leading AI strategy and innovation
- Aligning initiatives with business objectives
- Developing transformation strategies
- Innovation management and experimentation culture
- Building cross-functional collaboration
- Investment priorities and budgeting
- Measuring business value and return on investment
- Workshop: Drafting a strategic roadmap
- Module 6
Governance and responsible AI use
- Ethical implications of technology adoption
- Managing algorithmic bias and fairness
- Data privacy and confidentiality
- Governance frameworks for new initiatives
- Regulatory and compliance requirements
- Responsible practices for organisations
- Workshop: Evaluating ethical scenarios
- Module 7
Managing AI risk and cybersecurity
- Cybersecurity risks linked to automated systems
- Operational and reputational risks
- Governance and control frameworks
- Managing third-party vendors and solutions
- Business continuity and resilience planning
- Risk monitoring and incident response
- Case study: Failure and lessons learned
- Module 8
Organisational change for AI adoption
- Leading technological transformation
- Overcoming resistance to adoption
- Change management frameworks for digital initiatives
- Workforce transformation and future skills
- Upskilling and reskilling employees
- Building a culture of agility
- Workshop: Managing technology-related change
- Module 9
Measuring AI performance and examining future trends
- KPIs for evaluating performance
- Measuring operational improvements
- Maturity assessment models
- Emerging trends in automation
- Future workforce and leadership implications
- Sustainability considerations
- Strategic planning for future readiness
- Module 10
AI leadership simulation and action planning
- Executive-level strategy simulation
- Solving detailed challenges using new frameworks
- Presenting business cases to leadership teams
- Developing implementation and governance plans
- Group presentations and feedback
- Personal leadership action planning
- Programme review and final discussion
Certificate
Every delegate who completes the course receives an ARUK Training Certificate of Attendance.
Frequently asked questions
How do I register?
Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.
Are fees shown with VAT?
Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.
Can this course be delivered for our team only?
Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.
Is this course available online?
Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.
Is there a group discount?
Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.
Can the course be delivered in Arabic or another language?
Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.
What certificate will I receive?
An ARUK Training Certificate of Attendance.
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