Managing AI projects without understanding AI can create uncertainty, misalignment, and risk.

Today, AI is becoming part of everyday business initiatives, and project managers are increasingly expected to lead AI-driven projects. However, many PMs find themselves managing AI initiatives without fully understanding AI terminology, data dependencies, risks, limitations, or how AI projects differ from traditional software projects. This often leads to unrealistic plans, misaligned stakeholder expectations, communication challenges with AI teams, and unnecessary stress.

The role of a project manager is evolving. AI is entering projects faster than most PMs are prepared for, and managing AI projects using traditional approaches alone is no longer enough. AI literacy is becoming a career skill—not a technical nice-to-have.

This course, AI Literacy for Project Managers, is designed specifically for project managers who are leading—or preparing to lead—AI-driven initiatives. You do not need a technical background or experience as a data scientist. Instead, the course focuses on the practical AI knowledge that project managers need to make informed decisions, collaborate effectively with AI teams, manage uncertainty, and deliver meaningful business outcomes.

Throughout the course, you will learn what makes AI projects unique, how AI systems work at a foundational level, and how AI concepts influence planning, estimation, risk management, quality management, governance, and vendor decisions. You will also explore real-world AI use cases and practical project management scenarios to see how these concepts apply in practice.

By the end of this course, you will be able to confidently plan, lead, and manage AI projects while understanding the opportunities, limitations, and responsibilities that come with AI adoption.

If you want to future-proof your project management career and become a more confident leader in an AI-driven world, this course is a great place to start.