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BMA: Project, Product & Operations
Foundations of AI Project Management
Curriculum
1 Section
25 Lessons
30 hours
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Unit 1 — Foundations of AI Project Management
25
1.1
Setting Your Expectations for This Book
20 mins
1.2
Understanding the Evolution of Project Management before AI
20 mins
1.3
Defining Success in AI-Driven Projects
20 mins
1.4
Using AI to Transcribe Meeting Minutes
20 mins
1.5
Automating Routine Project Management Tasks
20 mins
1.6
Using AI for Predictive Analytics in Project Management
20 mins
1.7
Integrating AI to Strengthen Team Collaboration
20 mins
1.8
Enhancing Project Timeline Accuracy with AI
20 mins
1.9
Using AI to Predict Project Risks
20 mins
1.10
Helping with Budget Forecasting Using AI
20 mins
1.11
Automating Project Performance Reports with AI
20 mins
1.12
Understanding AI Ethics for Project Managers
20 mins
1.13
Safeguarding Your Data Using AI Tools
20 mins
1.14
Leading AI Adoption and Change Management Efforts
20 mins
1.15
Start Small
20 mins
1.16
Overestimating AI Capabilities
20 mins
1.17
Asana with AI-Powered Workflows
20 mins
1.18
Understanding AI: The Basics
20 mins
1.19
Examining How AI Is Changing the Project Management Landscape
20 mins
1.20
Considering Quantitative Metrics for Measuring AI Benefits
20 mins
1.21
Using Large Language Models (LLMs) to Draft Project Documents
20 mins
1.22
Integrating AI with Your Existing Project Management Tools
20 mins
1.23
Making Informed Decisions with AI-Powered Insights
20 mins
1.24
Clarifying AI’s Role in Team Collaboration
20 mins
1.25
Allocating Resources
20 mins
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