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Official Curriculum Brochure

AI for Managers

Practical AI capability building for managers who need to move beyond experimentation and apply AI to productivity, problem solving, decisions and team workflows.

Level: Practical / AppliedTarget Roles: People Managers, Middle ManagersDelivery Mode: Live Online, In Person, Enterprise Custom

Complete Syllabus

Detailed Module Sequence

Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.

01

AI and the Changing Role of the Manager

Explore how AI is changing management work, team expectations and decision making.

Key Topics & Practice Sessions:
  • AI shift in management work
  • human and AI collaboration
  • changing expectations of managers
  • opportunity and risk
  • management judgment in the AI era
02

AI for Personal Productivity

Apply AI to preparation, communication, information synthesis and everyday management work.

Key Topics & Practice Sessions:
  • meeting preparation
  • communication drafting
  • summarization
  • information synthesis
  • planning
  • preparation workflows
03

AI for Problem Solving and Decision Support

Use AI to explore problems, generate options, challenge assumptions and improve decision preparation.

Key Topics & Practice Sessions:
  • problem framing
  • option generation
  • scenario exploration
  • assumption testing
  • decision preparation
  • critical evaluation
04

Prompt and Context Engineering for Managers

Learn how to provide better instructions, context, constraints and evaluation criteria.

Key Topics & Practice Sessions:
  • task clarity
  • context
  • constraints
  • examples
  • output format
  • evaluation criteria
  • iteration
  • reusable interaction patterns
05

AI for Team Workflows

Identify repetitive work, information bottlenecks and opportunities for AI-enabled workflow improvement.

Key Topics & Practice Sessions:
  • workflow mapping
  • repetitive work
  • information bottlenecks
  • handoffs
  • AI assistance opportunities
  • human-in-the-loop workflows
06

Responsible AI and Human Judgment

Understand privacy, accuracy, hallucination, bias, verification and appropriate human oversight.

Key Topics & Practice Sessions:
  • confidential information
  • verification
  • hallucinations
  • bias
  • judgment
  • accountability
  • appropriate use
07

Leading AI Adoption in Your Team

Help teams experiment responsibly, build confidence and identify useful applications.

Key Topics & Practice Sessions:
  • team experimentation
  • psychological safety for learning
  • responsible boundaries
  • use-case discovery
  • peer learning
  • adoption barriers
  • manager role in AI adoption
08

30-Day AI Action Plan

Create a practical plan for applying AI to individual and team priorities.

Key Topics & Practice Sessions:
  • personal application opportunity
  • team workflow opportunity
  • responsible experiment
  • adoption conversation
  • 30-day action plan
Observable Module Output / Deliverable:
  • Personal application opportunity map
  • Team workflow redesign blueprint
  • Responsible experiment charter
  • Adoption conversation guide
  • 30-day practical action plan

Capability Gains

Observable Post-Program Competencies

understand where AI can support management work
use AI for analysis and problem solving
improve communication and preparation
use AI as a decision-support partner
identify team-level AI use cases
evaluate AI output critically
recognize Responsible AI risks
create a practical team adoption plan

Supported AI Ecosystem & Tools

Enterprise AI Assistants (Microsoft Copilot, ChatGPT Enterprise, Google Gemini for Workspace, Claude Enterprise)Approved Enterprise Knowledge Bases & Internal RAG ToolsEveryday Management Productivity Suites (Microsoft 365, Google Workspace)

Next Steps

Ready to Bring AI for Managers to Your Team?

Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.