AI Leadership for Executives

Description

This program empowers senior leaders to understand, adopt, and drive the responsible and strategic use of Artificial Intelligence across their organizations. Through a blend of conceptual grounding, hands-on exercises, and leadership reflection, participants learn how to transform AI from a technical tool into a catalyst for innovation, productivity, and business value. The course bridges theory and practice — from mastering effective prompting and data-driven decision-making to cultivating a culture of ethical, cross-functional AI adoption.

Indicative Duration: 6 training hours
*Duration is adjusted based on the final scope and the target audience.

Scope

1. Inspirational Speech
  •  Reimagining Leadership in the AI Era: The role of leaders in cultivating an AI Transformation culture
  • The Strategic Need for AI
  • The Vision: AI Leadership
2. AI Foundations
  •  Application of AI in the Industry
  • Fundamental Concepts (AI, ML, DL, LLMs, GenAI, Agentic AI)
  • Terms and Limitations (Prompts, Tokens, Hallucinations, Bias)
3. Techniques for
effective prompting
  • Fundamentals of Prompt Engineering & Common Pitfalls to avoid
  • Prompt engineering framework T.R.A.C.I. (Task, Role, Audience, Create, Intent)
  • Advanced Prompting Techniques for Complex Requests: (Zero-shot, Few-shot, Chain-of-thought, Context building)
4. Insight Extraction
and Narrative
Creation in Word
  • Prompting for Text Creation with AI with a hands-on Case Study:
    • Automatic document summarization
    • Extracting specific insights
    • From analysis to an official Board briefing note
    • Adjusting text tone
    • Drafting CEO’s speech based on key takeaways
5. Data-Driven
Decisions with AI
Analysis in Excel
  • Prompting for Data Analysis with AI with a hands-on Case Study:
    • KPIs Analysis, revenue, EBITDA Insights
    • Trend & outlier detection
    • KPI comparison
    • Generating charts
    • Modeling budget scenarios for next fiscal year
6. Turning Insights
into Presentations & Actions
  • Prompting for Presentations & Actions with AI with a hands-on Case Study:
    • Creating an executive presentation (PowerPoint)
    • Automatically integrating charts and visuals (PowerPoint)
    • Board email with presentation & agenda (Outlook)
    • CEO internal video update (Teams)
7. Organizing &
Delegating Work
with AI
  • Prompting for Organization and Processes with AI with a hands-on Case Study:
    • Turning free text into a standardized workflow
    • Generating a Work Breakdown Structure
    • Assign Responsibilities through RACI matrix
    • Design a project timeline and key milestones
8. Accelerating Project
& Service Delivery
with AI
  • Accelerating Time-to-Value: reduce time from initial concept to market launch
  • Enhancing Technical Delivery: accelerate new code development and secure integration with critical systems
  • The Role of Leadership: Drive cross-functional collaboration through AI to accelerate execution and deliver faster business impact
  • Demo Case Study Scenario
9. AI Assistants & AI Agents
  • AI Assistants & Agents: Empowering Decision Support and Authorized Action
  • What are AI Assistants? What are AI Agents?
  • Assistant & Agent – Scenario: B2B Sales
  • Business Applications
  • Why act now
  • Risk & Governance Requirements
  • AI Agent Design Demo
    • Create & Configure: Define the Agent’s role, knowledge, and capabilities
    • Test & Refine: Adjust responses and functionality
    • Publish & Share: Deploy the Agent for organizational use
10. Responsible and
Ethical AI Usage
  • Regulatory Framework and Compliance Rules (EU AI Act, Risk Pyramid, Human Oversight, Transparency, Data Quality/Storage/Access)
  • Ethical Guidelines & Best Practices (Privacy by Design, ICARE – Integrity, Compliance, Accountability, Responsibility & Ethics)
  • Demo Case Study Scenario
    • Determine system risk
    • Define governance rules (Fairness, Accountability, Transparency)
11. Strategy & Vision
  •  The Role of the Organization’s Leaders as AI Ambassadors
  • Responsible Adoption and Utilization of AI
  • Assessing Opportunities & Risks in AI Use
  • Closure: AI Transformation begins with AI Leadership

Learning Objectives

Upon completion of the course participants will be able to:

  1. Lead the organizational shift toward AI transformation by defining principles, empowering teams, and fostering a culture of responsible experimentation.
  2. Interpret core AI and Generative AI concepts, understanding their impact on business strategy and operations.
  3. Apply advanced prompting techniques to generate insights, automate analysis, and communicate strategic decisions effectively.
  4. Integrate AI tools (Copilot, Excel, Word, PowerPoint, Outlook, Teams) to enhance productivity, coordination, and execution speed.
  5. Recognize and address ethical, governance, and compliance challenges related to AI use (EU AI Act, data privacy, bias, transparency).

Target Audience

  • Roles: Senior Leaders, Directors, and Heads of Departments responsible for strategy, operations, or transformation initiatives.
  • Seniority: Executive and Senior Management Level professionals seeking to leverage AI strategically to drive organizational growth and innovation.

Prerequisite Knowledge

  • Requires strong understanding of business management, leadership and digital transformation concepts
  • No prior technical knowledge in Generative AI and AI systems is required.

Delivery Method

Sessions can be delivered via the following formats:

  • Live Online – Interactive virtual sessions via video conferencing
  • On-Site – At your organization’s premises
  • In-Person – At Code.Hub’s training center
  • Hybrid – A combination of online and in-person sessions

 

The training methodology combines presentations, live demonstrations, hands-on exercises and interactive discussions to ensure participants actively practice AI in realistic work scenarios.

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Date

On Demand

Organizer

Code.Hub
Email
[email protected]