AI for Project Reporting, Dashboards and Risk
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AI for Project Reporting, Dashboards and Risk
This course is part of Advanced Project Management: Asana, Jira, Confluence, and AI Professional Certificate
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What you'll learn
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.
Skills you'll gain
- Model Evaluation
- Data-Driven Decision-Making
- AI Enablement
- Project Documentation
- Management Reporting
- AI literacy
- Timelines
- Report Writing
- Responsible AI
- Dashboard Creation
- Stakeholder Communications
- Data Presentation
- Data Transformation
- Stakeholder Engagement
- Data Import/Export
- Business Reporting
- Extract, Transform, Load
- Risk Management
Tools you'll learn
Details to know
March 2026
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Coursera
There are 5 modules in this course
This course prepares you to create concise, high-quality reports and dashboards using spreadsheets, visualization tools, and generative AI techniques while preserving human-in-the-loop controls. Instruction covers exporting project data from PM tools, transforming and modeling it in spreadsheets, and designing compact dashboards that highlight portfolio KPIs and overdue items. You will practice prompt design to convert raw PM data into structured draft reports, apply labeling and validation practices for AI outputs, and evaluate predictive models using confusion matrices to compute precision and recall for go/noβgo decisions. Assessments emphasize compact deliverables: a trimmed dashboard, an AI-assisted weekly status (AI draft + human review), prompt list, QA checklist, and a short model-evaluation summary documenting precision/recall and adoption guidance.
"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.
What's included
5 videos3 readings6 assignments
5 videosβ’Total 24 minutes
- From Chaos to Clarity: Simple Project Reporting β’5 minutes
- How to Export Your Trello Boardβ’4 minutes
- From Raw Data to Actionable Insightβ’5 minutes
- How to Highlight Overdue Tasksβ’5 minutes
- The Power of a Clear Status Updateβ’5 minutes
3 readingsβ’Total 15 minutes
- Understanding Trello & The "Boosting Profit" Case Studyβ’5 minutes
- Importing Data & The "Google Sheets Project" Case Studyβ’5 minutes
- Best Practices for Stakeholder Communicationβ’5 minutes
6 assignmentsβ’Total 85 minutes
- Analyzing and Communicating Task Performanceβ’30 minutes
- Hands-On Learning: Interpreting a Project Data Exportβ’10 minutes
- Getting Started and Exporting from Trello: Knowledge Check β’10 minutes
- Hands-On Learning: Create Your Overdue Task Reportβ’15 minutes
- Highlighting Overdue Tasks in Google Sheets: Knowledge Checkβ’10 minutes
- Communicating Status and Final Assessment: Knowledge Checkβ’10 minutes
"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 isnβt 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.
What's included
3 videos2 readings3 assignments
3 videosβ’Total 13 minutes
- From Chaos to Clarity: Categorizing Updatesβ’5 minutes
- From Hours to Seconds: AI as Your Reporting Assistantβ’4 minutes
- From Video to Textβ’4 minutes
2 readingsβ’Total 14 minutes
- The Four Pillars of a Great Status Reportβ’7 minutes
- The Anatomy of an Effective AI Promptβ’7 minutes
3 assignmentsβ’Total 65 minutes
- Create a Project Health Report β’20 minutes
- Hands-On Learning: The Sorting Challengeβ’15 minutes
- Knowledge Checkβ’30 minutes
"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, youβll 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.
What's included
2 videos3 readings6 assignments
2 videosβ’Total 13 minutes
- The Power of a Single Numberβ’7 minutes
- The Cost of a Bad Modelβ’6 minutes
3 readingsβ’Total 12 minutes
- The Confusion Matrix: A Map for Model Performanceβ’4 minutes
- The Formulas for Precision and Recallβ’4 minutes
- A Framework for Decision-Makingβ’4 minutes
6 assignmentsβ’Total 105 minutes
- Submit Your AI Model Evaluation Reportβ’30 minutes
- Confusion Matrixβ’5 minutes
- Sorting AI Model Predictionsβ’30 minutes
- Calculate Model Metricsβ’10 minutes
- Interpreting Precision and Recall Score β’20 minutes
- Write Your Recommendationβ’10 minutes
"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.
What's included
5 videos4 readings4 assignments
5 videosβ’Total 19 minutes
- Welcome: The Opportunity of AI Automationβ’4 minutes
- Introducing Your AI Reporting 'Sous-Chef'β’5 minutes
- The Human Oversight: Accuracy, Clarity, and Hallucinationsβ’3 minutes
- The Dashboard Blueprint: Metrics, Filters, and Flowβ’5 minutes
- Charting for Impact: Selecting the Right Visualizationβ’3 minutes
4 readingsβ’Total 20 minutes
- How IBM's Watson Applied AI to Project Managementβ’5 minutes
- Prompts for Precision: Structuring the Commandβ’5 minutes
- Strategic Value: Dashboards as Decision-Making Toolsβ’5 minutes
- Survey of the Field: Free Tools for Dashboarding and Visualizationβ’5 minutes
4 assignmentsβ’Total 51 minutes
- Strategic Reporting and Dashboard Proposalβ’16 minutes
- Hands-On Learning: The Review: Differentiating AI from Human Contextβ’15 minutes
- AI Reporting Essentials Quizβ’5 minutes
- Hands-On Learning: Building the Integrated Dashboard in Google Sheetsβ’15 minutes
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. Youβll 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.
What's included
2 readings1 assignment
2 readingsβ’Total 10 minutes
- Why This Project Matters: From Data to Decision in Minutesβ’3 minutes
- Your Project Blueprint: Requirements and Evaluationβ’7 minutes
1 assignmentβ’Total 110 minutes
- Project: Export and Highlight Project Tasks Fastβ’110 minutes
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Frequently asked questions
You will work with spreadsheets and dashboard mockups, along with examples that map to common tools like Asana and Jira. Deliverables include a short stakeholder report, a dashboard mockup, and a risk watchlist with mitigation notes.
No. The course focuses on applying AI-assisted tools and prompt/design patterns for reporting and risk detection, as well as verification and audit practices. It does not require building ML models.
Noβlabs include sample prompts and instructor-provided outputs that you can practice with.
More questions
Financial aid available,
ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.
