Short theory blocks + hands-on exercises + work on real managerial scenarios + moderated discussions.

Module 1. Introduction to Artificial Intelligence in Leadership Work.
• what AI, Generative AI and Large Language Models (LLMs) are • differences between AI, automation and standard analytics • practical use of AI in managerial and leadership work • opportunities and business value of AI for Team Leaders • limitations of AI: hallucinations, lack of business context, overreliance on AI • “Garbage in – garbage out” principle in managerial decision-making • Responsible AI in leadership work • data privacy, confidentiality and responsible use of AI in organizations

Module 2. Prompt Engineering – effective communication with Copilot.
• how Copilot interprets user instructions • key elements of an effective prompt: context, role, goal, format, tone • prompting strategies used in managerial work: – zero-shot prompting – few-shot prompting – priming
– chain of thought – role playing
• improving AI outputs through iterative prompting • common mistakes in working with AI • practical exercises with leadership-related prompts

Module 3. Communication, Feedback and Team Management with AI.
• using AI to improve managerial communication • preparing feedback messages and difficult conversations • summarizing meetings, discussions and action points • creating clear communication for teams and stakeholders • AI support in stakeholder communication • preparing structured 1:1 meeting summaries • AI-assisted preparation for difficult conversations and conflict situations • improving clarity, tone and structure of managerial communication

Module 4. Data Analysis and Visualization with Copilot (Excel + M365).
• using Copilot in Excel for managerial analysis • asking questions to data in natural language • generating formulas and interpreting results • creating tables, summaries and quick analyses • identifying trends, risks and operational bottlenecks • data visualization and presentation of insights • building simple dashboards and charts • preparing business recommendations based on data

Module 5. AI in Daily Team Leader Operations and Decision-Making.
• using AI to support prioritization and task management • organizing operational work with AI assistance • AI support in documentation and process standardization • preparing operational summaries and decision materials • identifying repetitive tasks suitable for AI support • practical use of AI in cross-functional collaboration • balancing human judgment and AI recommendations

Module 6. Agentic AI – building practical AI assistants for leadership work.
• what Agentic AI means in practice • examples of AI assistants supporting Team Leaders • designing simple AI assistants for operational tasks • defining scope, rules and boundaries for AI assistants • practical workshop: building leadership-oriented AI assistants