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AI Implementation for People Managers
Role Play
Rating: 4.4 out of 5(29 ratings)
4,618 students

AI Implementation for People Managers

Lead AI adoption through workflow improvement, change management and team upskilling to improve workplace productivity
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Map a team workflow and select one AI opportunity using value, feasibility and risk criteria.
  • Build an AI pilot plan with clear scope, owners, baseline measures and stop conditions.
  • Explain an AI pilot to your team and record concerns, commitments and unanswered questions.
  • Create a team playbook covering practice, support, approved use and human review.
  • Compare pilot productivity, quality and team feedback to recommend expansion, revision or stopping.
  • Identify AI-suitable workflow steps while retaining accountable human judgment for decisions.
  • Organize role-based upskilling around the tasks and review responsibilities of a specific pilot.
  • Apply people management foundations to team development, motivation and accountability during change.

Course content

9 sections • 12 lectures • 7h 51m total length
  • AI Workflow Mapping: Choose a Team Opportunity53:49
    • Map inputs, steps, handoffs and output in one team workflow.
    • Identify AI assistance that produces a reviewable result.
    • Compare value, feasibility, risk and dependencies.
    • Complete the AI Workflow Opportunity Map.

Requirements

  • Basic experience leading a team or supporting managers through workplace changes.
  • Familiarity with an AI assistant; advanced technical skills are not required.
  • A team workflow to examine, or willingness to use the supplied synthetic practice scenario.
  • A web browser for completing the interactive HTML planning tools.
  • For a live pilot, company-approved AI access and permission to use the selected inputs; planning exercises require no paid AI subscription.

Description

This course contains the use of artificial intelligence

AI adoption needs a clear purpose, a bounded experiment and a team that can question the result. An impressive draft is only useful when the complete workflow improves.

Pressure to introduce AI can arrive before anyone has defined the problem it should solve. Individual experiments spread, review responsibilities remain unclear, and the time spent checking or correcting output disappears from productivity claims. Meanwhile, employees may face uncertainty about their roles, their expertise and the extra effort expected of them.

A structured implementation makes the change visible and manageable. The pilot has a defined purpose, an accountable owner and an agreed point for review. Team members understand where AI fits, what remains their responsibility and how to raise a concern. Progress is judged through the quality of the work and its effect on people, alongside the time involved.

Mike is the #1 HR instructor on Udemy, with more than 2,000,000 students on the platform. His professional background includes 20 years in HR. He holds PHRi, SHRM-CP and HCI sHRBP certifications. This course brings a people management perspective to the practical decisions involved in changing how a team works.

The course begins with five new implementation lessons. The first examines a workflow before selecting an AI opportunity. The second turns that opportunity into a pilot plan, including ownership, baseline measures and conditions for stopping. The third focuses on the conversation with the team: the purpose of the experiment, legitimate concerns and questions that need a confirmed answer.

The fourth brings practice, support and operating boundaries together before live use. The fifth reviews the complete workflow, including checking and correction, and considers quality, adoption and the impact on people before a decision about expansion. A synthetic request-summary scenario connects the planning tools without requiring confidential workplace information.

The original six people management videos follow the new core. They provide supporting context on the manager's role, team building, development, motivation, performance and compensation. These retained lessons cover general management practices; the AI implementation material is concentrated at the beginning.

What's included:

  • Five AI implementation video lessons and five practical planning tools.
  • Six retained people management video lessons, existing quizzes and a development role-play.
  • Practical assignments using a permitted team workflow or a synthetic scenario.
  • Lifetime access to course materials with an individual Udemy purchase; organizational access follows the applicable plan.
  • Active instructor support through course Q&A.
  • A Udemy Certificate of Completion.

Unstructured experimentation can keep consuming attention while leaving its value uncertain. Give the next experiment a clear purpose and a review point before it becomes routine. Enroll now and start your first lesson today.

Who this course is for:

  • People managers and team leaders responsible for introducing AI into their team's daily work.
  • Functional managers who need to turn scattered AI experiments into a clear, manageable pilot.
  • First-time managers facing team concerns about AI, changing roles and additional workload.
  • HR business partners and HR managers helping line managers lead AI adoption.
  • Change and learning partners supporting workflow-specific practice, review and team readiness.