Coursera

AI for Project Reporting, Dashboards and Risk

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Coursera

AI for Project Reporting, Dashboards and Risk

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
初级 等级

推荐体验

1 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级

推荐体验

1 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

  • Export project tasks and highlight overdue items using a repeatable workflow.

  • Populate a standard project status report template from structured data.

  • Use AI to draft and edit weekly status reports with human-in-the-loop review.

  • Create an integrated dashboard mockup to monitor key project portfolio metrics.

要了解的详细信息

可分享的证书

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最近已更新!

March 2026

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

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

积累 Data Analysis 领域的专业知识

本课程是 Advanced Project Management: Asana, Jira, Confluence, and AI 专业证书 专项课程的一部分
在注册此课程时,您还会同时注册此专业证书。
  • 向行业专家学习新概念
  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 通过 Coursera 获得可共享的职业证书

该课程共有5个模块

"Export and Highlight Project Tasks Fast" is a beginner-level module that teaches you to streamline project tracking. Instead of compiling manual updates, learn to export tasks from tools like Trello into Google Sheets. Through hands-on tutorials, you will master using conditional formatting to automatically highlight overdue tasks, transforming raw data into a clear, visual report. You will also learn to effectively communicate these findings to stakeholders, fostering trust and accountability. Master this workflow to create automated status reports in minutes, saving you time and making you an invaluable team member.

涵盖的内容

5个视频3篇阅读材料6个作业

"Project Status Reports with AI" equips you with a practical, proven framework and the AI-powered tools to transform how you communicate project status. It's built for professionals who understand that reporting isn’t just about documentation; it's about leadership, influence, and strategic clarity. Through hands-on labs, you will practice creating and refining prompts that let AI do the heavy lifting, while you apply the insight and judgment that only a human can bring.

涵盖的内容

3个视频2篇阅读材料3个作业

"Evaluate AI Risks: Adopt Smart Predictions" is a beginner-level module teaching project managers and business leaders how to make smart decisions about AI. In a world of AI hype, this module teaches you to look past simple accuracy and determine whether a risk prediction model is a valuable asset or a liability. You will learn to apply a professional framework using precision and recall to measure an AI's true performance. Through hands-on activities, you’ll build a confusion matrix, calculate these critical metrics, and translate them into clear business terms, culminating in a data-driven "go/no-go" recommendation for AI adoption.

涵盖的内容

2个视频3篇阅读材料6个作业

"Automate Reports and Dashboards with AI" provides essential skills for using artificial intelligence in project reporting and communication. You will learn to craft precise prompts for AI tools, ensure the accuracy and ethical integrity of AI-generated reports, and design strategic dashboards for informed decision-making. The module emphasizes practical application, teaching you to critically evaluate AI outputs while integrating human oversight to improve reporting quality. By the end, you will be prepared to implement a reporting strategy that combines AI capabilities with human insight, fostering transparency and accountability in project management. Basic computer and project skills are recommended.

涵盖的内容

5个视频4篇阅读材料4个作业

In this project, you will become the indispensable analyst who turns raw data into a decisive intelligence brief in minutes. You will build a one-page dashboard that visually spotlights overdue tasks, providing instant clarity for leadership. You’ll also master a modern AI-assisted workflow, using effective prompts to draft a weekly status summary and a QA checklist to ensure the final, human-reviewed report is insightful and accurate. This project will create a powerful portfolio piece, proving you can turn complex data into an actionable story and help leadership effectively manage risk.

涵盖的内容

2篇阅读材料1个作业

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位教师

Professionals from the Industry
238 门课程 35,970 名学生

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常见问题

¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。