An Interactive 5-Day Training Course

Artificial Intelligence (AI) and Analytics for Leaders, Managers and Professionals

NASBA

Course Introduction

This training course equips you to harness AI and data for better decisions, stronger strategy and measurable business value. AI has spread into every part of personal and business life, and leaders who understand how and when to use it can optimise operations and stay ahead in a rapidly changing landscape. You will gain a clear understanding of AI concepts, practical tools and the leadership skills to turn data into actionable insights, explained in clear business language.

Over five days, you will learn to process and analyse data, apply machine learning and generative AI, and use AI for market analysis, scenario planning and risk assessment. You will also address ethics, bias and governance, and learn to lead the people, culture and structural changes that successful AI adoption demands. Drawing on real organisational challenges, you will learn to scale AI solutions, measure their return and communicate the value of data-driven strategies to stakeholders.

This training course will highlight:

  • The role of leaders in the success of AI and analytics
  • Understanding data in the enterprise: analysis, architecture and quality
  • AI technologies, tools and techniques, from machine learning to generative AI
  • AI-powered strategy: market insight, scenario planning, risk assessment and responsible governance
  • Leading AI-driven change, scaling solutions and measuring AI return on investment

Objectives

At the end of this training course, you will learn to: 

  • Identify the best analytics and AI strategy
  • Evaluate AI applications and their business value
  • Analyse data and translate insights into recommendations
  • Apply AI to scenario planning and risk
  • Lead responsible, ethical AI adoption across organisations

Training Methodology

This training course combines engaging lectures, group discussions, case studies and hands-on exercises, using proven adult learning techniques to maximise understanding and retention. Delegates work with AI and data analysis tools, focusing on interpreting results and managerial implications rather than technical configuration. They are encouraged to bring real organisational challenges for use in group exercises and project work. Senior consultants provide practical insights relevant to each industry.

Organisational Impact

The Organisation will have the following benefits;

  • Develop informed and AI-savvy leadership
  • Make data-driven decisions that optimise performance
  • Allocate resources strategically through data analysis
  • Gain competitive advantage through AI-powered insights
  • Increase efficiency by automating repetitive tasks
  • Foster innovation and a responsible, data-driven culture

Personal Impact

At the end of this training course, the participants will gain the following;

  • Gain confidence in AI concepts and terminology
  • Develop strategies for integrating AI into leadership
  • Acquire hands-on experience with AI tools
  • Strengthen critical thinking and data-driven problem-solving
  • Communicate data-driven insights to stakeholders effectively
  • Become an AI-aware, forward-thinking leader

Who Should Attend?

This course suits leaders, managers and professionals who want to harness AI and analytics for innovation and informed decisions. No technical or data science background is required to benefit.

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

  • CEOs, CTOs, CMOs, senior executives and business leaders responsible for strategic decisions
  • Senior and functional managers integrating data analytics into strategic planning
  • Technical leaders and project managers leading AI and analytics initiatives
  • Business analysts, data analysts, data scientists and consultants applying data skills to strategic challenges
  • Inspired leaders and aspiring leaders seeking AI-savvy, data-driven careers

Course Outline

Day 1

Unlocking AI's Value: Foundations, Business Context and Data-Driven Strategy

  • Core principles of strategic management today and the role of leaders in the success of AI and analytics
  • Demystifying analytics and AI: key concepts, cutting-edge technologies and innovations
  • How AI fuels disruption and competitive advantage, and global AI adoption trends shaping industries
  • AI's added value to business: turning data into business insights, with real-world examples and success stories
  • Discovering patterns in data using analysis
  • Defining success: key metrics for AI-driven growth
  • The challenges and opportunities of data-driven strategy, including ethical considerations
  • Identifying the best analytics strategy for the organisation and the critical time and opportunity for change with AI
Day 2

Mastering Data for AI: Analysis, Architecture, Quality and Performance Insight

  • The business context of opportunities, deep domain understanding and business priorities in dynamic and challenging environments
  • Identifying and analysing relevant data sets for strategic planning, including internal data sources, market research and customer surveys
  • Data architecture for the implementation of artificial intelligence
  • Best practices in data exploration and cleaning to ensure data quality and accuracy
  • Improving data quality through the use of AI and monitoring for anomalies in data
  • Data visualisation techniques to communicate insights to stakeholders effectively
  • Identifying key performance indicators (KPIs) aligned with strategic objectives and leveraging dashboards and reporting tools for ongoing monitoring
  • Data-driven strategies for smarter decision-making, respecting diverse perspectives of problem solving
Day 3

AI Capabilities: Machine Learning, Analytical Techniques and Practical Tools

  • Demystifying machine learning and deep learning, and the AI technologies relevant to management, including natural language processing
  • Supervised and unsupervised learning: classification and clustering
  • Artificial neural networks
  • Fuzzy sets and fuzzy rules: the importance of fuzzy logic and real examples of fuzzy controllers
  • Problem-driven and planned up-front analytics: regressions, likelihood, distributions and data insights
  • Evaluating model performance with Root Mean Square Error (RMSE) and Area Under the Curve (AUC)
  • Effective use of ChatGPT and other generative AI assistants
  • Navigating the AI ecosystem: essential tools and platforms to enhance productivity and problem-solving
Day 4

AI-Powered Strategic Decision-Making: Market Insight, Scenario Planning, Risk and Governance

  • AI for market analysis: customer segmentation and trend forecasting
  • AI-powered tools for competitor intelligence
  • Scenario planning: simulating future market conditions and potential outcomes with AI
  • Building intelligent, data-driven decision-making models and frameworks and integrating them into strategic planning
  • Identifying, assessing and mitigating strategic risks using data-driven approaches and AI decision-support tools to ensure business continuity
  • Identifying and controlling AI-related risks and tackling AI bias, fairness and transparency challenges
  • Ethics, compliance and trust in AI implementation: robust AI governance policies and tools for AI integrity and performance monitoring
  • The limitations of AI and the importance of human oversight in strategic decision-making
Day 5

Leading AI Implementation: Culture, Change, Scale, ROI and the Future

  • The leader's role in AI success: leadership in the AI era, strategies for seamless adoption and lessons from successful industry leaders
  • Leading organisational change in people, data and systems, culture and structure, including structure, process and incentive changes with AI
  • Building a culture of AI-first thinking and innovation, and bridging the gap between AI experts and teams
  • Planning and managing AI projects across teams and functions: technology roadmaps and applying initial solutions rapidly
  • Integrating analytics and AI tools into strategic planning and aligning AI strategies with long-term business vision
  • Agentic AI: designing AI agents to support automation and workflow execution with human-in-the-loop governance
  • Scaling AI solutions for enterprise-wide impact and measuring AI ROI, including prioritisation despite missing data
  • Communicating the value of data-driven recommendations to stakeholders, and emerging trends shaping future strategies and digital transformation

Certificate

On successful completion of this training course, Oxford Management Centre Certificate with eligible Continuing Professional Education credits (CPE) from National Registry of CPE Sponsor will be awarded to the delegates

Accreditation

NASBA
Artificial Intelligence (AI) and Analytics for Leaders, Managers and Professionals
Duration
5 Days
Format
Classroom
Language
English
Certificate
Yes
Choose the date and location that suits you:
Classroom Sessions
Dubai
12 - 16 Oct 2026
Fee: $ 5,950
Book your place

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FREQUENTLY ASKED QUESTIONS

Yes, we provide assistance in securing both hotel reservations & entry visa on all our international training venues, for delegates attending our training courses. For further information / assistance, please contact our Customer Service at:

Yes, Oxford Management Centre is accredited by the following professional bodies;

National Association of State Board of Accountancy (NASBA)
The Oxford Management Centre is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit.

Yes, discounts are available. For further information please call +971 50 985 0174 or email, info@oxford-management.com

Note: Discounts are not applicable with any other special offer that may be available.

All course bookings made through Oxford Management Centre are non-refundable. By registering for a course, you acknowledge and accept that fees are payable in full and are not subject to refund under any circumstances, including but not limited to participant dissatisfaction, changes in personal or professional circumstances, or partial attendance.

Oxford Management Centre reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Full details of each course – including objectives, target audience, and content – are clearly outlined prior to enrolment, and it is the responsibility of the delegate to ensure suitability before booking.

There are 2 easy ways to register:

  • Online: Select the training course you want to register for, Click the “Book Your Place” button on the course page, complete the form and click submit.
  • E-mail: Send your details to info@oxford-management.com

We request that all cancellations be made at least one week before the class start date. You may reschedule this class without any penalty. If not, a $250 fee will be charged for cancellations received less than one week before a class begins and for no-shows. Cancellation penalties and any fees incurred by Oxford Management Centre will be deducted from refunds.

For more information request, email info@oxford-management.com or call +971 50 985 0174.

The classroom training fees include course presentation, relevant materials, physical & digital documentation, lunch and refreshments served during entire training. Accommodation and transportation are not included in the training course fees.

While, online training fees cover the course presentation and digital documentation and relevant materials.

The Oxford Management Centre Certificate of Completion with corresponding CPE credits shall be awarded to delegates who has successfully completed the training course.

Payment must be received before the training course commences. You can make payment by bank draft, cash, credit card or wire transfer.

Note: If the payment is not received, Oxford Management Centre has the right to refuse admission.

Upon receipt of your registration form, we will send you the following by e-mail:

  • Registration Confirmation
  • Invoice/Receipt (where appropriate)

If you register online you will receive an e-mail within 24 hours confirming your registration.

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