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AI Literacy for Project Managers

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Plan, Lead, and Deliver AI Projects with Confidence
5
5/5
(1) Ratings
209 students
Created by Anju Aggarwal
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What you'll learn

  • Understand how AI projects differ from traditional projects and what this means for planning, delivery, and expectations.
  • Apply foundational AI concepts to communicate effectively with AI teams and make informed project decisions.
  • Identify and manage key risks, uncertainties, and dependencies in AI projects, including data, models, and third-party components.
  • Use a practical PM playbook to define success criteria, set acceptance thresholds, and manage AI project outcomes with confidence.
This course includes:
1 total hour on-demand video
3 articles
7 downloadable resources
28 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • This course assumes basic project management experience, but no prior knowledge of AI or data science is required.
  • Participants should be familiar with: – Fundamental project management concepts such as scope, timelines, risks, and stakeholders – Working in cross-functional teams – Managing projects in IT, digital, or business environments
  • You do not need: – A technical or programming background – Prior experience working on AI or data science projects – In-depth knowledge of machine learning or analytics

Description

Are you ready to manage AI projects with confidence?

AI is transforming the way organizations build products, deliver services, and make decisions. As a project manager, you may already be expected to lead AI initiatives—even if you don’t come from a technical background.

If you’ve ever wondered:

  • How are AI projects different from traditional software projects?

  • How do I communicate confidently with data scientists and AI teams?

  • How do I estimate timelines when AI outcomes are uncertain?

  • What AI risks should I look for?

  • How do I make informed decisions while ensuring AI is used responsibly?

…then this course is designed for you.

Managing AI projects without understanding AI can create uncertainty, unrealistic expectations, and unnecessary project risk. The good news is that you don’t need to become a data scientist—you need to become AI literate.

Why This Course?

AI literacy is quickly becoming an essential competency for modern project managers.

As AI adoption accelerates across industries, project managers are expected to bridge business goals, technical teams, governance requirements, and stakeholder expectations. Traditional project management skills remain essential—but AI projects introduce new challenges that require a different mindset.

This course helps you develop the practical AI knowledge needed to confidently plan, lead, and deliver AI initiatives.

Unlike technical AI courses, this course is built specifically for project managers. Every concept is explained from a PM’s perspective, focusing on the decisions you make throughout an AI project’s lifecycle.

What You’ll Learn

By the end of this course, you’ll be able to:

  • Understand what makes AI projects fundamentally different from traditional IT projects.

  • Build a solid understanding of the AI concepts every project manager should know—without unnecessary technical complexity.

  • Communicate more effectively with AI teams, business stakeholders, and vendors.

  • Apply AI literacy to planning, estimation, risk management, quality management, governance, and vendor management.

  • Recognize AI-specific risks such as data quality, bias, privacy, explainability, and model uncertainty.

  • Make informed project decisions that support responsible AI adoption.

  • Use practical frameworks, case studies, and a PM playbook that you can immediately apply to real AI projects.

Why Learn from Me?

I have over 25 years of experience leading technology projects across multiple industries and am a certified PMP® and Scrum Master.

Today, I work with AI-powered products and initiatives, helping organizations manage AI projects, governance, operating models, customer success, and strategic delivery. My experience combines traditional project management with the practical realities of delivering AI solutions in today’s business environment.

Everything you’ll learn in this course is designed to be practical, actionable, and directly applicable to the work project managers do every day.

Who Should Take This Course?

This course is ideal for:

  • Project Managers

  • Program Managers

  • Delivery Managers

  • Scrum Masters

  • PMO Professionals

  • Business Analysts

  • Product Managers who collaborate on AI initiatives

  • Professionals preparing to manage their first AI project

No programming or data science background is required.

Start Your AI Literacy Journey

AI projects are no longer a niche area—they’re becoming part of everyday project management.

If you want to future-proof your career, make better project decisions, and confidently lead AI initiatives, I’d be delighted to have you join me in this course.

Let’s build the AI literacy every modern project manager needs.

I created this course from the webinar delivered earlier in the PMI forum.

Few Review comments on the webinar:

“Thanks, Anju, for such a well-organized and insightful session. It truly helped enhance my AI literacy and provided valuable perspectives on the evolving role of Project Managers in driving AI adoption. I appreciate your efforts and the practical knowledge you shared!”

“Thank you. Very comprehensive & enlightening presentation.”

“A lot to learn from this webinar. Thank you.”

Who this course is for:

  • Project managers managing or transitioning into AI-based projects
  • IT and digital project managers working with data, analytics, or AI teams
  • Program and delivery managers overseeing AI initiatives
  • PMs who want to understand AI well enough to plan, manage risks, and align projects with business goals
  • Non-technical PMs seeking clarity and confidence in AI project delivery
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