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

Scope

1. Inspirational Speech	The Elephant in the Room: Recognizing and naming the fears Confession: From enthusiasm about AI to ethical concerns Reframing: It’s not a threat — it’s a tool that creates value The Vision: AI Leadership
2. AI Foundations	AI as the Answer to any Industry Landscape AI, LLMs, and Generative AI Core Principles: Prompts, Tokens & Context Windows Capabilities & Cautions The GenAI Toolkit: Copilots, Assistants & Specialized Tools Organizational Impact: Evolving Roles and Emerging Skills
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 Hands-on Case Study Scenario: “Board Strategy Briefing Based on Annual Report Data”
5. Data-Driven Decisions with AI Analysis in Excel	Prompting for Data Analysis with AI Hands-on Case Study Scenario: “Board Strategy Briefing Based on Annual Report Data”
6. Turning Insights into Presentations & Actions	Prompting for Presentations & Actions with AI Hands-on Case Study Scenario: “Board Strategy Briefing Based on Annual Report Data”
7. Organizing & Delegating Work with AI	Prompting for Organization and Processes with AI Hands-on Case Study Scenario: “Action Plan for the launch of a new Product”
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 Demo Case Study Scenario: “Launching a new B2B service” Demo 1 (Speed): Rapidly generate test scripts with AI Demo 2 (Stability): Proactively detect network anomalies to ensure reliability The Role of Leadership: Drive cross-functional collaboration through AI to accelerate execution and deliver faster business impact
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 Design Exercise: “Design Exercise: Create Your Own Agent using Copilot Studio”
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) Case Study Scenario: “AI Supplier Evaluation System”
11. Strategy & Vision	Reflecting on the day 4 Pillars of Effective AI Leadership 3 Immediate Actions Closure: AI Transformation begins with AI Leadership

Learning Objectives

Upon completion of the course participants will be able to:

Lead the organizational shift toward AI transformation by defining principles, empowering teams, and fostering a culture of responsible experimentation.
Interpret core AI and Generative AI concepts, understanding their impact on business strategy and operations.
Apply advanced prompting techniques to generate insights, automate analysis, and communicate strategic decisions effectively.
Integrate AI tools (Copilot, Excel, Word, PowerPoint, Outlook, Teams) to enhance productivity, coordination, and execution speed.
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.

Tags: AI Literacy, Generative & Agentic AI

Date

On Demand

Organizer

Code.Hub

Email

[email protected]