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AI Literacy for Project Managers

Name: AI Literacy for Project Managers
Rating: 5.0 (1 reviews)

Plan, Lead, and Deliver AI Projects with Confidence

New

Created byAnju Aggarwal

Last updated 6/2026

English

English [Auto],

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.

Course content

8 sections • 28 lectures • 1h 9m total length

Course overview4:15
Project Management Support0:09
Course Material - all in one pdf0:01

AI literacy is crucial path for AI adoption3:25
Investing in AI literacy helps project managers plan realistically, manage risks, and align AI outcomes with business goals while reducing bias, privacy lapses, and misuse.
Experienced PMs in AI Projects: Navigating Uncertainty2:26
Managing AI Projects: Same Role, Different Language2:48
AI Literacy: From Uncertainty to Confidence3:05
Develop confident ai leadership by building foundational ai literacy that improves communication with technical teams, enables ethical governance, and supports risk-aware, adaptive management of ai initiatives.
AI Project Readiness Check

Your AI Literacy Journey: From Concepts to Application1:04
What Is Unique About AI Projects?3:37
Explore what makes AI projects unique, including data-centric foundations, data quality, availability, privacy and security, governance, and continuous learning that drives evolving goals and context-sensitive results.
How Are AI Projects Different from Traditional IT Projects?2:55
Where Do PMs Create Impact in AI Projects?3:02

AI Literacy: What PMs Need to Know and Understand0:44
What Is AI Literacy and Why Does It Matter?1:47
Discover how the EU AI Act defines AI literacy, applies risk-based governance with human accountability, and how project managers understand how AI systems work to lead responsible practices.
How Do AI Systems Work?1:38
Explore the ai system life cycle from data collection to prediction and continuous improvement. Learn how data quantity and quality drive training, model creation, and refinement through feedback.
What Are the Core Components of AI Systems?5:28
How Does AI Produce Results?3:33

Managing AI Projects: Core Practice Areas1:26
Adapt traditional planning, risk management, quality, and procurement within PMBOK frameworks to AI projects, where planning is iterative, risk is uncertain, and continuous quality plus vendor management matter.
How Should PMs Plan and Estimate AI Projects?2:23
Plan for learning in AI projects with adaptive planning, establish clear success criteria (accuracy, performance, business outcomes), and break work into phases from proof of concept, MVP, to scale.
How Do PMs Manage Risks and Uncertainty in AI Projects?3:22
How Do PMs Define and Evaluate Success in AI Projects?3:07
How Do PMs Manage AI Ecosystems and Dependencies?2:36
AI Literacy Foundations Check

Applying AI Concepts to Real-World Project Scenarios0:49
What Are Common AI Use Cases PMs Manage?2:18
Explore common AI use cases for project managers, from chatbots and fraud detection to recommendation engines and document processing, and learn how data, uncertainty, and continuous monitoring shape decisions.
Case Study: AI Chatbot in Action1:41
From Challenges to Decisions: Managing an AI Chatbot Project3:34
PM Playbook: Key Questions to Manage AI Projects6:33
Apply a seven-question playbook to manage AI projects, align stakeholders, validate data, set acceptance criteria, enable human-in-the-loop oversight, monitor performance, and manage dependencies for better outcomes.
Applying AI Literacy in Projects

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

AI Literacy for Project Managers

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 4min

Why AI Literacy Matters for Project Managers4 lectures • 12min

Introduction to AI Projects for Project Managers4 lectures • 11min

AI Foundations for Project Managers5 lectures • 13min

Core Practices for Managing AI Projects5 lectures • 13min

Applying AI Concepts: Case Studies for Project Managers5 lectures • 15min

Bringing It All Together: Leading AI Projects with Confidence1 lecture • 2min

Bonus Section1 lecture • 1min

Requirements

Description

Who this course is for: