An Interactive 5-Day Training Course

Generative AI (GenAI) for Leaders: From Insight to Implementation

Leading Strategic AI Adoption, Driving Business Value and Delivering Successful Implementation

Generative AI (GenAI) for Leaders: From Insight to Implementation

Scheduled Dates

14 - 18 Dec 2026
London - UK
$5,950
03 - 07 May 2027
Dubai - UAE
$5,950
16 - 20 Aug 2027
Istanbul - Turkey
$5,950
04 - 08 Oct 2027
Kuala Lumpur - Malaysia
$5,950
13 - 17 Dec 2027
London - UK
$5,950

Why Choose this Training Course?

This Generative AI (GenAI) for Leaders: From Insight to Implementation training course equips business leaders and senior managers with the knowledge and strategic capabilities required to translate generative AI opportunities into practical organisational initiatives. Generative AI offers new possibilities for improving productivity, strengthening decision-making, enhancing customer experiences and transforming business operations. However, achieving meaningful results requires leaders to move beyond understanding the technology towards identifying suitable applications, evaluating business value and directing implementation effectively. Participants will examine how generative AI can support strategic priorities, improve organisational performance and create opportunities for innovation while maintaining appropriate governance and human oversight.

The training course provides a structured approach to leading generative AI adoption, from identifying opportunities and assessing organisational readiness to developing business cases, managing implementation and measuring results. Participants will explore the capabilities of large language models, AI assistants, intelligent agents and AI-enabled business workflows from a leadership perspective. Particular attention is given to prioritising AI investments, addressing workforce readiness, establishing accountability and managing implementation risks. The course also examines how leaders can guide cross-functional teams, evaluate technology options and build organisational confidence in AI adoption. By connecting strategic insight with practical execution, participants will develop an actionable approach to implementing generative AI initiatives that deliver measurable business value.

This Generative AI (GenAI) for Leaders: From Insight to Implementation training course will highlight:

  • Understanding generative AI capabilities and strategic business opportunities
  • Identifying and prioritising high-value GenAI applications
  • Evaluating organisational readiness and AI investment decisions
  • Leading GenAI implementation and cross-functional collaboration
  • Managing AI governance, organisational change and adoption risks
  • Measuring business outcomes and scaling successful AI initiatives

What are the Goals?

By the end of this training course, participants will be able to:

  • Evaluate the strategic opportunities and limitations of generative AI.
  • Identify and prioritise GenAI use cases aligned with business objectives.
  • Assess organisational readiness, investment requirements and implementation feasibility.
  • Lead cross-functional teams through AI adoption and implementation.
  • Establish appropriate governance, accountability and performance measures.
  • Develop an actionable roadmap for implementing and scaling GenAI initiatives.

Who is this Training Course for?

This training course is specifically designed for business leaders and senior managers directly responsible for evaluating, approving, sponsoring or implementing generative AI initiatives, including:

  • Managing Directors
  • Chief Operating Officers
  • Business Unit Directors and General Managers
  • Chief Strategy Officers and Strategy Directors
  • Digital Transformation Directors
  • Business Transformation Directors and Managers
  • AI Strategy and Implementation Leaders
  • Business Innovation Directors
  • Senior Operations Managers responsible for GenAI adoption

How will this Training Course be Presented?

This training course combines expert-led presentations, executive discussions, business scenarios and generative AI demonstrations. Participants will examine organisational AI opportunities, investment considerations, implementation challenges and leadership decisions through practical examples. Structured exercises will focus on evaluating GenAI use cases, developing business cases, establishing governance arrangements and preparing implementation roadmaps. The methodology emphasises strategic judgement, practical leadership decisions and measurable organisational outcomes rather than programming or technical AI development.

Organisational Impact

Organisations will benefit from:

  • Stronger leadership understanding of generative AI opportunities
  • Better alignment between AI initiatives and strategic business priorities
  • More informed AI investment and implementation decisions
  • Improved coordination between business and technology functions
  • Greater workforce readiness and accountability for AI adoption
  • Stronger measurement of AI performance and business value

Personal Impact

Participants will develop:

  • Greater confidence in leading generative AI initiatives
  • Improved ability to evaluate AI opportunities and investments
  • Stronger understanding of AI implementation and organisational readiness
  • Better judgement in managing AI risks and governance responsibilities
  • Improved ability to lead teams through AI-enabled change
  • Greater capability in developing practical AI implementation strategies

Daily Agenda

Day 1: Generative AI Insights and Strategic Leadership
  • Understanding generative AI and its business capabilities
  • Large language models, AI assistants and agentic AI
  • Evaluating GenAI opportunities across business functions
  • Assessing GenAI limitations and organisational risks
  • Understanding leadership responsibilities in AI adoption
  • Aligning GenAI opportunities with strategic business priorities
Day 2: Identifying GenAI Opportunities and Business Value

  • Identifying business challenges suitable for GenAI
  • Evaluating AI-enabled productivity and process improvements
  • Prioritising use cases by value, feasibility and risk
  • Assessing data requirements and organisational readiness
  • Developing business cases and investment justifications
  • Establishing expected benefits and success criteria
Day 3: Leading GenAI Implementation and Execution

  • Translating GenAI opportunities into implementation plans
  • Evaluating AI platforms, vendors and delivery approaches
  • Establishing cross-functional implementation teams
  • Defining project ownership, responsibilities and milestones
  • Managing pilots, testing and implementation challenges
  • Integrating GenAI into existing business workflows
Day 4: GenAI Governance, Risk and Organisational Change

  • Establishing AI governance and leadership accountability
  • Managing data protection, confidentiality and cybersecurity risks
  • Evaluating AI accuracy, reliability and human oversight
  • Preparing employees for AI-enabled ways of working
  • Managing organisational resistance and stakeholder expectations
  • Developing responsible AI adoption and communication practices
Day 5: Measuring Success and Scaling GenAI Initiatives

  • Defining performance indicators for GenAI initiatives
  • Measuring productivity, efficiency and business value
  • Evaluating pilot results and implementation effectiveness
  • Scaling successful applications across business functions
  • Establishing continuous monitoring and improvement processes
  • Developing a leadership roadmap for GenAI implementation

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

In Association With

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