Approximately 5 hours across 2 modules, on a flexible self-paced schedule. Module 1 covers GenAI foundations and lifecycle use cases in about 2 hours; Module 2 covers predictive delivery and portfolio management in about 3 hours. The course includes 20 video lessons, two graded assignments, hands-on peer-reviewed exercises, and discussion prompts.

No. Prompt engineering is written instruction, not programming. If you can write a clear brief for a team member, you already have the underlying skill. The course explains how LLMs and natural language processing work at a conceptual level so you understand why some prompts fail and others succeed, but you will not write code or configure models.

Basic project management knowledge, familiarity with using AI tools for project management such as ChatGPT, and working comfort with Office tools. The course is pitched at intermediate level, so it assumes existing delivery experience rather than teaching project management from scratch.

Prompt engineering is the practice of structuring instructions so an AI tool returns output you can actually use. In a project context, that means supplying the right inputs including methodology, stakeholder audience, tone, format, and constraints so a generated status report meets your governance standards instead of reading as generic filler. The course AI for project managers covers prompting fundamentals and chain-of-thought techniques for complex project analysis.

That depends on your organization's policy and the specific tool's data handling terms, and you should confirm both before uploading anything. Enterprise and business tiers typically offer stronger data protections than consumer plans, but terms differ by vendor and change over time. The course includes discussion of managing risks in AI-assisted project workflows. Your internal policy takes precedence over anything taught here.

No. These platforms hold your schedule, dependencies, and system of record. AI features built into them add automation on top of that data, while general-purpose assistants work alongside your platform, handling drafting and analysis on inputs you supply. This course teaches the assistant layer, which fits whatever scheduling tool you already use.

Yes. The course provides a shareable certificate you can add to your LinkedIn profile on completion. Assessment is through two graded assignments plus peer-reviewed hands-on exercises, including a course-end project where you build an AI-enabled project delivery plan.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.