Ai for Project Management | Get More Done with Less Stress Using AI
Shaik Saifulla, AI Prompt Engineer & App Developer
Regardez ce cours et des milliers d'autres
Regardez ce cours et des milliers d'autres
Leçons de ce cours
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1.
Introduction & Overview of Class
3:38
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2.
Basics of Prompt Engineering & Importance
10:36
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3.
Project Roles Allocation using ChatGPT - Part 1
16:24
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4.
Project Roles Allocation using ChatGPT - Part 2
11:16
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5.
Project Roles Allocation using Claude
10:20
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6.
Project Roles Allocation using NotebookLM
16:25
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7.
Project Status Report Generation using ChatGPT
11:55
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8.
Task Management using ChatGPT
8:39
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9.
Meeting Summary using ChatGPT
5:23
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10.
Risk Identification using ChatGPT
6:13
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11.
Communication Draft Generation using ChatGPT
6:06
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12.
Project Planning using ChatGPT
7:35
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13.
Budget Estimation using ChatGPT
7:59
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14.
Timeline Scheduling using ChatGPT
7:56
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15.
Project Performance Monitoring using ChatGPT
9:02
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16.
Project Change Request Analysis using ChatGPT
7:36
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17.
Stakeholder Mapping using ChatGPT
9:01
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18.
Postmortem Report Generation using ChatGPT
8:13
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19.
Project Scope Definition using ChatGPT
4:26
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20.
Dependency Matrix using ChatGPT
9:38
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21.
Final Words
4:07
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À propos de ce cours
Are you a project manager juggling endless meetings, reports, and task updates—only to still feel behind?
Do you wish you had an assistant who never misses a detail, works 24/7, and keeps your project perfectly aligned?
This course is your breakthrough.
"Prompt Engineering for Project Management" isn't just another tech tutorial. It’s a transformational guide that empowers you to leverage AI as your personal project co-pilot—so you can lead smarter, not harder.
Inside, you’ll discover how to craft powerful prompts that help ChatGPT handle your day-to-day project needs: from writing flawless status reports to assigning tasks, mapping dependencies, and even drafting stakeholder communications.
But more importantly, you’ll learn how to reclaim your time, reduce stress, and finally feel in control of your project—no matter how complex it is.
By the end of this course, you’ll:
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Work with more clarity – Say goodbye to scattered notes and hello to focused, actionable AI-generated reports.
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Feel confident and supported – Your AI assistant will be ready to ask the right questions and generate tailored outputs whenever you need them.
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Lead with less burnout – Spend less time drafting emails and documentation, and more time making strategic decisions.
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Impress stakeholders – Deliver updates and plans that are clear, concise, and professionally structured—every time.
Whether you're an experienced project manager or someone eager to step into the world of project leadership, this course will help you transform how you manage projects using the power of AI.
In "Prompt Engineering for Project Management," you'll learn how to turn ChatGPT (or any AI assistant) into your personal project partner. You'll craft smart prompts that help you handle real-world tasks—like creating reports, assigning responsibilities, summarizing meetings, identifying risks, planning timelines, and more.
But this course isn’t just about tasks—it’s about relieving the pressure, boosting your confidence, and helping you step into leadership without burning out.
Projet de cours pratique
Course Project Title:
"Build Your AI Project Management Assistant Using Prompt Engineering"
Project Overview:
In this hands-on project, you'll build your own AI-powered Project Management Assistant using the prompt templates and skills you've learned in the course.
This assistant will help you automate daily PM tasks like writing status reports, assigning tasks, identifying risks, and drafting communications.
By the end of the project, you’ll have a custom set of prompts or system automation prompt ready to use in your work—and the confidence to lead any project with AI by your side.
What You'll Create:
A reusable Prompt Toolkit organized into categories:
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Status Reports
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Task Assignment
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Meeting Summaries
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Risk Identification
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Stakeholder Communication
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Timeline & Budget Planning
This toolkit can be stored in a document, Notion board, Excel sheet, or your preferred project workspace.
Notes attribuées au cours
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