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AI for Program Managers: Practical Skills and Automation

4.60
4,275 students
37h 1m
Updated Feb 2026

What you'll learn

How to apply modern AI tools to real program management workflows with measurable impact
Building AI assisted program plans, strategies and knowledge bases
Using AI to improve requirements, scope definition and stakeholder alignment
AI driven planning, estimation and risk forecasting
Applying AI for governance, reporting and KPI visibility
Automating routine program management operations with ChatGPT
Integrating AI with Slack, Jira and other delivery tools
Designing and deploying custom AI powered assistants for program teams
Leveraging AI for communication, documentation and decision support
Using OpenAI API for advanced automation and custom solutions
Applying AI to engineering metrics, quality KPIs and performance insights
Creating AI bots for knowledge management and customer support scenarios
Fine tuning and customizing models for program specific tasks
Practical hands on projects connecting ChatGPT, APIs and real program environments

Course Description

Artificial Intelligence is transforming how modern programs are planned, governed, and delivered.
This course shows program managers exactly how to use AI to improve decision making, increase clarity, automate heavy workflows, and drive stronger outcomes across complex initiatives. Instead of abstract theory, you will learn practical, repeatable techniques that integrate AI directly into your daily program management responsibilities.

The course is designed to walk you through every major discipline of program management and demonstrate how AI strengthens planning, communication, governance, reporting, execution, team collaboration, and change management.

What this course delivers

You will develop a complete, end to end understanding of how AI enhances program management through hands on, applied learning.

AI enhanced program planning and execution
You will learn how to:

  • Build program charters, scopes, and work breakdown structures with AI support

  • Accelerate requirements analysis and translate them into actionable plans

  • Use AI to generate estimates, schedules, and risk scenarios

  • Improve planning accuracy by leveraging AI driven insights and data patterns

Stronger stakeholder communication and engagement
You will see how AI helps you:

  • Prepare polished, concise, and audience aligned status reports

  • Generate summaries, decks, meeting briefs, and follow up notes in minutes

  • Create communication plans adapted to different stakeholder needs

  • Improve clarity and consistency across all program communications

Data driven governance, risk and performance management
You will be able to:

  • Use AI to identify risks, predict issues, and surface hidden dependencies

  • Build automated KPI and metric monitoring pipelines

  • Produce governance reports and program dashboards with meaningful insights

  • Strengthen cross team alignment through timely, AI supported visibility

Real operational automation using AI
This course goes beyond prompts. You will learn:

  • How to automate repetitive program operations with Slack, Jira and APIs

  • How AI can generate tickets, documentation and follow ups automatically

  • How to create custom AI assistants to support your team’s daily work

  • How to reduce manual overhead while increasing overall delivery speed

AI that improves team collaboration and knowledge flows
You will practice how to:

  • Build AI driven knowledge bots for quick access to program information

  • Organize program documentation so AI can use it effectively

  • Support engineering teams with AI driven code, quality and metric insights

  • Strengthen collaboration between technical and non technical stakeholders

AI applied to change management
You will understand how to:

  • Run impact assessments using AI to evaluate consequences of change

  • Create targeted communication strategies for upcoming changes

  • Prepare adoption plans and stakeholder readiness assessments

  • Mitigate resistance with AI supported scenario planning and messaging

Ethical and responsible use of AI in program environments
You will learn the essential guidelines for:

  • Managing data privacy, transparency and responsible model usage

  • Avoiding bias and ensuring fairness in AI supported decisions

  • Building trust with stakeholders while introducing AI into workflows

  • Applying ethical principles to reporting, communication and governance

Why this course stands out

This course is designed for real working Program Managers, PMO leads, Project Managers, Product Owners and delivery leaders. It combines real world case studies, hands on exercises, and best practices used across modern organizations adopting AI today.

You will finish the course with:

  • A clear, practical system for integrating AI into all major program activities

  • Ready to use workflows and techniques you can apply immediately

  • A deep understanding of how AI improves planning, communication and delivery

  • Confidence in building AI empowered processes and automations

  • Skills that differentiate you as a modern, AI enabled Program Manager

If you want to lead programs with greater speed, accuracy and strategic clarity using the capabilities of AI, this course gives you everything you need to step into the next generation of program management.

Requirements

  • Basic understanding of project and program management concepts
  • General computer literacy and ability to work with online tools
  • No coding experience required for core modules
  • Optional: familiarity with Jira or Slack if you plan to follow integration sections
  • Optional: basic software or API knowledge for advanced automation modules

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Course Details

  • Level All Levels
  • Lectures 116
  • Duration 37h 1m