AI for Managers and Leaders Masterclass

About this masterclass

What this session covers

AI is no longer simply a productivity tool for drafting emails or summarizing documents. It is changing how organizations plan work, develop talent, allocate resources, make decisions, and deliver results.

This masterclass is practical and business-focused rather than technical. Over 2.5 hours of live virtual instruction you will work through leading the AI-augmented workforce, redesigning work with AI, building effective human–AI teams, and leading AI adoption responsibly — using your own recurring workflows and management decisions as the raw material.

Learning outcomes

You’ll leave able to

• Identify high-value opportunities to use AI across workforce planning, managerial decision-making, and everyday operations.
• Redesign workflows by deciding what to eliminate, simplify, standardize, automate, AI-augment, or keep human-led.
• Determine the appropriate level of human oversight based on risk, accountability, sensitivity, and the consequences of error.
• Design practical workflows, automations, and focused AI agents that improve efficiency, quality, and consistency.
• Lead responsible AI adoption by establishing clear expectations, privacy safeguards, human review, and employee support.

Audience

Who it is for

People who are responsible for teams, processes, business outcomes, or organizational decisions:

• People managers and team leaders
• Directors and department heads
• Executives and business-unit leaders
• Operations, project and product leaders
• HR and talent leaders
• L&D leaders
• Transformation and change leaders

Less suitable for participants seeking advanced technical instruction in machine learning, data science, or AI engineering.

Tools

Tools used

Platform-agnostic — adaptable to your approved AI environment. For hands-on activities, bring a browser-based assistant:

• ChatGPT
• Microsoft Copilot
• Google Gemini
• Claude
• Another approved platform

No automation platform, coding environment, or technical integration is required.

Before you join

Prerequisites

No programming, data-science, or technical AI development experience is required. Participants should:

• Have a basic understanding of generative AI
• Ideally have access to an organization-approved AI account
• Bring a laptop for hands-on activities
• Come prepared with one recurring workflow, team challenge, or management decision to examine
• Use only non-confidential, anonymized, or organization-approved information during activities

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