This unit introduces foundational concepts and practical applications of artificial intelligence within project management. Students explore AI capabilities—including LLMs, predictive analytics, transcription, automation, and tool integration—while addressing ethics, data security, change management, and metrics to prepare for deeper skill development in subsequent units.
Learning Objectives
- Analyze the evolution and current landscape of project management with AI and define measurable success criteria for AI-driven projects
- Apply AI tools and techniques to transcribe meetings, automate routine project management tasks, draft standard project documents using LLMs, and integrate AI-enabled workflows with existing PM platforms (e.g., Asana)
- Demonstrate the use of AI-powered predictive analytics to improve timeline accuracy, forecast budgets, identify risks, automate performance reporting, and allocate resources accordingly
- Evaluate ethical, data security, and change-management considerations for AI adoption and select quantitative metrics to measure AI benefits and limitations in project contexts
Curriculum
- 1 Section
- 25 Lessons
- 30 hours
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- Unit 1 — Foundations of AI-Enabled Project Management25
- 1.1Setting Your Expectations for This Book20 mins
- 1.2Understanding the Evolution of Project Management before AI20 mins
- 1.3Defining Success in AI-Driven Projects20 mins
- 1.4Using AI to Transcribe Meeting Minutes20 mins
- 1.5Automating Routine Project Management Tasks20 mins
- 1.6Using AI for Predictive Analytics in Project Management20 mins
- 1.7Integrating AI to Strengthen Team Collaboration20 mins
- 1.8Enhancing Project Timeline Accuracy with AI20 mins
- 1.9Using AI to Predict Project Risks20 mins
- 1.10Helping with Budget Forecasting Using AI20 mins
- 1.11Automating Project Performance Reports with AI20 mins
- 1.12Understanding AI Ethics for Project Managers20 mins
- 1.13Safeguarding Your Data Using AI Tools20 mins
- 1.14Leading AI Adoption and Change Management Efforts20 mins
- 1.15Start Small20 mins
- 1.16Overestimating AI Capabilities20 mins
- 1.17Asana with AI-Powered Workflows20 mins
- 1.18Understanding AI: The Basics20 mins
- 1.19Examining How AI Is Changing the Project Management Landscape20 mins
- 1.20Considering Quantitative Metrics for Measuring AI Benefits20 mins
- 1.21Using Large Language Models (LLMs) to Draft Project Documents20 mins
- 1.22Integrating AI with Your Existing Project Management Tools20 mins
- 1.23Making Informed Decisions with AI-Powered Insights20 mins
- 1.24Clarifying AI’s Role in Team Collaboration20 mins
- 1.25Allocating Resources20 mins
Instructor
Free
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