Will I earn university credit for completing the Specialization?

This Specialization does not carry university credit. However, upon completing all courses, you will earn a shareable Coursera certificate that you can add to your LinkedIn profile, resume, or CV to demonstrate your skills to employers.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Generative AI for Project Management 专项课程

Generative AI for Project Management 专项课程

Master AI Tools for Modern Project Management.

Learn to apply ChatGPT, Copilot, and other GenAI tools to plan, execute, and deliver projects.

位教师：Anton Voroniuk

顶尖授课教师

包含在中

了解更多

4 门课程系列

深入学习学科知识

来自此计划中课程的 18 条评论

初级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4 门课程系列

深入学习学科知识

来自此计划中课程的 18 条评论

初级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Master the core principles of project management that form the foundation for effective AI-augmented delivery.
Apply prompt engineering techniques to automate project planning, risk analysis, and stakeholder reporting using leading AI tools.
Build a reusable AI prompt library and governance framework to integrate generative AI responsibly into your team's project management workflows.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

精进特定领域的专业知识

向大学和行业专家学习热门技能
借助实践项目精通一门科目或一个工具
培养对关键概念的深入理解
通过 SkillsBooster Academy 获得职业证书

专业化 - 4门课程系列

This Specialization equips project managers and aspiring PMs with practical generative AI skills across the full project lifecycle — from foundational project management principles to hands-on use of ChatGPT, Microsoft Copilot, and Google Gemini. You'll learn prompt engineering techniques purpose-built for PM workflows, enabling you to automate documentation, analyze risks, streamline meetings, and communicate with stakeholders more efficiently. By the end, you'll have a reusable AI toolkit you can apply immediately to real projects, along with the judgment to choose the right tool for every situation.

应用的学习项目

Learners complete hands-on projects in each course, applying AI tools to authentic project management scenarios such as building a project plan with ChatGPT, generating status reports and meeting summaries with Microsoft Copilot, and creating a personal prompt library for recurring PM tasks.

Project Management Basics for Beginners

第 1 门课程, 小时

您将学到什么

Learn SMART goals, Work Breakdown Structures, and project planning. Understand Waterfall and Agile methodologies including Scrum and Kanban.
Discover team formation, adapt leadership styles, and resolve conflicts. Learn motivation strategies and stakeholder engagement techniques.
Identify risks, assess impact, and develop mitigation strategies. Master KPIs, track progress with Gantt charts, and manage scope.

Project Management with AI

第 2 门课程, 小时

您将学到什么

Develop hands-on proficiency with ChatGPT, Microsoft Copilot, and Google Gemini for project management tasks.
You'll learn prompt engineering fundamentals, how to structure effective requests, and how to get consistent, high-quality outputs.
Establish governance frameworks and security practices for AI adoption on your team.

您将获得的技能

类别：Prompt Engineering

类别：Prompt Engineering Tools

类别：Team Management

类别：Risk Management

类别：Data Analysis

类别：Decision Making

类别：Generative AI

类别：AI Security

类别：Project Management

类别：Stakeholder Management

类别：Decision Intelligence

类别：Leadership

类别：Google Gemini

类别：Responsible AI

类别：Artificial Intelligence

类别：Microsoft Copilot

类别：Communication

类别：Data Ethics

类别：AI Enablement

类别：ChatGPT

ChatGPT for Project Management

第 3 门课程, 小时

您将学到什么

Master prompt engineering techniques and frameworks to generate reliable, structured, and high-quality outputs for project tasks.
Apply ChatGPT across the entire project lifecycle—from planning and risk analysis to execution, reporting, and stakeholder communication.
Build and use your own AI toolkit (custom GPTs, prompt libraries) while following best practices for quality control, privacy, and ethical AI use.

您将获得的技能

类别：AI Enablement

类别：Data Analysis

类别：Team Management

类别：ChatGPT

类别：Artificial Intelligence

类别：Risk Management

类别：Project Planning

类别：Decision Making

类别：LLM Application

类别：Risking

类别：Stakeholder Communications

类别：Prompt Engineering Tools

类别：Project Closure

类别：Prompt Engineering

类别：Project Documentation

类别：Generative AI Agents

类别：AI Security

类别：Project Management

类别：Responsible AI

类别：Generative AI

Microsoft Copilot for Project Management

第 4 门课程, 小时

您将学到什么

Master Microsoft Copilot to automate project planning, budgeting, and status tracking using advanced prompt engineering frameworks like RACE
Streamline team collaboration by automating meeting agendas, executive briefs, and real-time data analysis in Word and Excel.

您将获得的技能

类别：Microsoft Copilot

类别：Generative AI

类别：Responsible AI

类别：Microsoft Excel

类别：Microsoft Office

类别：Microsoft Word

类别：Time Management

类别：Meeting Facilitation

类别：Workflow Management

类别：Business Communication

类别：Data Analysis

类别：Automation

类别：Financial Management

类别：Project Coordination

类别：Project Management

类别：Prompt Engineering

类别：Project Risk Management

类别：Artificial Intelligence

类别：Prompt Engineering Tools

类别：Budget Management

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

顶尖授课教师

Anton Voroniuk

SkillsBooster Academy

42 门课程15,602 名学生

提供方

SkillsBooster Academy

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

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常见问题

This Specialization takes approximately 23 hours to complete in total.

Recommended Study Schedule:

Full-time learner (20+ hours/week): 1-2 weeks

Part-time learner (5-10 hours/week): 2-4 weeks

Casual learner (2-5 hours/week): 4-12 weeks

No prior AI or machine learning experience is required. A basic familiarity with project management concepts and everyday productivity tools (such as Microsoft Office or Google Workspace) is helpful but not necessary — the first course in this Specialization covers all the project management fundamentals you'll need.

Yes, we recommend following the courses in order. The Specialization is designed to build progressively — starting with project management fundamentals before moving into AI tools and advanced applications. This ensures you have the conceptual foundation to get the most out of each course.

Upon completing the Specialization, you'll be able to confidently use generative AI tools — including ChatGPT, Microsoft Copilot, and Google Gemini — across every phase of the project lifecycle. You'll know how to automate documentation, build project plans, analyze risks, streamline meetings, and communicate with stakeholders more effectively, all while applying responsible AI practices that meet enterprise standards.