AI+ Agile Project Management Fundamentals™
Transform Project Delivery with AI+ Agile Project Management Fundamentals
Beginner
Self-Paced
🌐 en
Highlights
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Smart Sprint Planning: Discover how AI-powered insights improve backlog prioritization, sprint forecasting, and resource allocation for predictable delivery.
✓
Adaptive Workflow Optimization: Learn to use AI tools to track progress, identify bottlenecks, and automate routine tasks to keep projects moving smoothly.
✓
Data-Driven Decision Making: Gain the ability to analyze real-time project metrics, risks, and team performance with AI support for faster, smarter decisions.
Level
Beginner
Modules
8
Delivery
SelfPaced
About this course
- Smart Sprint Planning: Discover how AI-powered insights improve backlog prioritization, sprint forecasting, and resource allocation for predictable delivery.
- Adaptive Workflow Optimization: Learn to use AI tools to track progress, identify bottlenecks, and automate routine tasks to keep projects moving smoothly.
- Data-Driven Decision Making: Gain the ability to analyze real-time project metrics, risks, and team performance with AI support for faster, smarter decisions.
- Enhanced Team Collaboration: Master intelligent communication and reporting tools that improve stakeholder alignment, transparency, and cross-functional teamwork.
- Predictive Risk Management: Use AI to anticipate delays, budget overruns, and scope creep, enabling proactive planning and effective mitigation strategies.
This course includes
📊 Beginner level
🌐 en
🎓 Self-Paced
Course curriculum
2 chapters · 0 lessons
<p>1.1 Introduction to AI Concepts for Project Managers 1.2 Synergy Between AI and Agile Methodologies 1.3 Case Study: AI-Enhanced Sprint Planning 1.4 Hands-On Session: AI Tools Walkthrough for Sprint Planning and Backlog Grooming</p>
<p>2.1 Understanding Project Data Types and Sources 2.2 Data-Driven Decision Making in Agile 2.3 Case Study: Data-Led Sprint Retrospectives 2.4 Hands-On Simulation Exercise: AI-Driven Sprint Prediction and Metrics Analysis</p>
AI Tools Used
ChatGPT
Google Gemini
Microsoft Copilot
Trello AI
Jira Free Tier
ClickUp
Notion AI
GitHub Copilot
Google Sheets with AI Add-ons
Power BI
Tableau Public
Python
Pandas
Scikit-learn
TensorFlow
AutoML Tools
Miro AI
Zapier
Slack AI Integrations
Burndown & Sprint Analytics Dashboards
Prerequisites
Basic understanding of project lifecycle and management principles alongside the awareness of agile methodologies like Scrum and Kanban. Introductory knowledge of artificial intelligence and its applications, and ability to address challenges in dynamic environments.
Exam Details
50 questions, 70% passing, 90 minutes, online proctored exam
Mode of Learning
Delivery: SelfPaced