An Interactive 5-Day Training Course

Artificial Intelligence (AI) Strategy for Leaders and Managers

Artificial Intelligence (AI) Strategy for Leaders and Managers

Scheduled Dates

07 - 11 Sep 2026
London - UK
$5,950

Why Choose this Training Course?

This training course equips senior leaders and managers with the strategic vision, governance frameworks, and hands-on AI fluency needed to lead enterprise-wide transformation. As AI reshapes competitiveness, operating models, and decision-making across every industry, leaders must move beyond awareness to confidently design AI strategy, govern its risks, and drive adoption across their organisations. This 5-day training course merges enterprise AI strategy and governance with practical leadership tools for decision-making, workforce enablement, and scaling AI value.

Participants will examine AI strategy design, governance and ethics, and transformation roadmaps, alongside hands-on exposure to machine learning, automation, generative AI, and intelligent analytics for leadership decision support. The training course blends strategic thought-leadership with practical, non-technical AI fluency, ensuring participants can both set enterprise AI direction and lead its execution on the ground. By the end of the training course, delegates will be able to design AI strategies, govern AI responsibly, lead AI-driven transformation, and scale AI initiatives for sustained competitive advantage.

This training course will highlight:

  • AI strategy design, enterprise readiness, and transformation roadmaps
  • Practical leadership fluency in machine learning, automation, and generative AI
  • AI governance, ethics, risk management, and regulatory compliance
  • Leading AI-driven decision-making, workforce transformation, and organisational change
  • Scaling AI from pilot initiatives to enterprise-wide, future-ready impact

What are the Goals?

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

  • Design AI strategies aligned with enterprise priorities
  • Apply core AI tools and technologies confidently
  • Govern AI ethically, responsibly, and compliantly
  • Lead AI-driven transformation and workforce adoption
  • Scale AI initiatives for sustained competitive advantage

Who is this Training Course for?

This training course is designed for senior leaders and decision-makers who shape their organisation's digital, innovation, and AI agenda. No technical or data science background is required to benefit fully.

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

  • C-Suite executives and senior leaders
  • Strategy, transformation, and innovation directors
  • Digital, data, and technology leaders
  • Department heads and senior managers
  • Professionals driving AI adoption within their organisations

How will this Training Course be Presented?

This training course blends thought-leadership presentations, executive simulations, and scenario exploration with engaging lectures, case studies, and hands-on exercises. Participants work through AI strategy frameworks, interpret AI-driven insights using practical tools, and apply concepts to real organisational challenges. Group debates and team assignments build leadership judgment for governing and scaling AI. Leadership action planning consolidates learning into a personal transformation roadmap.

Organisational Impact

The Organisation will have the following benefits:

  • AI strategies aligned with corporate objectives and operating models
  • Responsible AI governance with minimized implementation risk
  • Improved decision-making through intelligent, data-driven analytics
  • Accelerated AI adoption with confident leadership sponsorship
  • Enhanced innovation and efficiency across AI-driven projects
  • Stronger agility and competitiveness in data-driven markets

Personal Impact

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

  • Greater confidence leading AI-driven organisational change
  • Practical fluency in AI concepts, tools, and terminology
  • Improved ability to evaluate AI opportunities and risks
  • Advanced understanding of ethical, responsible AI leadership
  • Stronger strategic thinking and technology-driven decision-making
  • Positioning as an AI-aware, forward-thinking leader

Daily Agenda

Day 1: Understanding AI's Enterprise and Business Impact
  • The evolution of AI and its strategic implications for the enterprise
  • Key AI technologies: machine learning, NLP, automation, and analytics
  • Global AI adoption trends and how AI fuels competitiveness and disruption
  • How AI transforms industries, business models, and value chains
  • AI's value proposition: turning data into actionable business insights
  • Assessing organisational digital and AI maturity
  • Identifying strategic drivers and success metrics for AI adoption
Day 2: Designing AI Strategy, Tools, and Value Creation

  • AI strategy frameworks and key components for organisational value
  • Demystifying machine learning, deep learning, and the AI tool ecosystem
  • Opportunity identification, prioritization, and linking AI investment to KPIs
  • Designing AI operating models, transformation roadmaps, and data strategy
  • Using AI to enhance productivity, problem-solving, and decision-making
  • Cross-functional alignment, executive sponsorship, and real-world success stories
Day 3: AI Governance, Ethics, Risk, and Trust

  • Principles of responsible and ethical AI deployment
  • AI governance frameworks, accountability structures, and compliance policies
  • Managing bias, fairness, transparency, and explainability
  • Risk assessment models and tools for AI integrity and performance monitoring
  • Regulatory and compliance considerations across jurisdictions
  • Balancing innovation with responsible oversight and aligning AI strategy with business vision
Day 4: AI-Powered Leadership, Decision-Making, and Workforce Transformation

  • Leadership mindsets and intelligent decision-making frameworks for AI-enabled organisations
  • Leading AI adoption and managing AI-driven projects across teams and functions
  • Human-machine collaboration and redesigning workflows
  • Talent, upskilling, and workforce transformation strategies
  • Driving cultural adoption, trust, and organisational change
  • Communication strategies and case studies of successful AI leadership
Day 5: Scaling AI, Innovation, and the Future Enterprise

  • Scaling AI from pilot concepts to enterprise-wide deployment
  • Building a culture of AI-first thinking and collaboration between AI experts and teams
  • Integrating AI with automation, analytics, and cloud ecosystems
  • Measuring AI ROI and monitoring performance
  • Future trends: generative AI, autonomous systems, and intelligent enterprises
  • Vision-building and leadership action planning for long-term AI transformation

Certificate

  • Upon successful completion of this training course, delegates will be awarded an official PetroKnowledge Certificate of Completion, signed by the course facilitator. The certificate confirms successful participation and records the total learning hours completed.
  • Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.

Accreditation

NASBA Approved Training Courses

Would an alternative date be more suitable?

We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.

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