| Category | AI Business, AI Professional, All Courses, Available Now, Business Analyst, Business Intelligence Analyst, English, Language, Product Manager, Program Director, Project Management Practitioner, Scrum Master |
|---|---|
| Program Name | AI+ Agile Project Management Fundamentals™ |
| Duration | Instructor-Led:1 day (live or virtual) | Self-Paced:8 hours of content |
| Prerequisites | Basic Understanding of Project Management: Familiarity with project lifecycle and management principles. Introductory Knowledge of Agile: Awareness of agile methodologies like Scrum and Kanban. Familiarity with AI Concepts: Basic knowledge of artificial intelligence and its applications. Problem-Solving Skills: Ability to address challenges in dynamic environments. Team Collaboration Experience: Comfort working in cross-functional, collaborative teams. |
| Exam Format | 50 questions, 70% passing, 90 minutes, online proctored exam |
Learn how to incorporate AI tools into sprint planning, backlog grooming, and resource allocation to improve forecasting accuracy and team productivity.
Gain expertise in automating repetitive project tasks such as status tracking, reporting, and documentation, enabling teams to focus on high-value work.
Understand how AI-powered analytics can help interpret project metrics, predict risks, and support faster, evidence-based decisions throughout the project lifecycle.
Discover how intelligent tools can identify potential bottlenecks, delays, and dependencies early, allowing proactive mitigation and smoother delivery.
Learn to use NLP-based assistants to summarise meeting notes, extract action items, and improve communication across distributed Agile teams.
Master AI techniques to forecast sprint outcomes, measure velocity trends, and continuously optimise team performance.
Lead cross-functional teams using Agile and AI-driven insights to deliver projects faster, improve predictability, and maximise stakeholder value.
Implement Scrum, Kanban, and AI-powered planning tools to streamline workflows, remove bottlenecks, and ensure timely releases.
Use AI analytics to forecast risks, track sprint performance, optimise resource allocation, and support data-driven decision-making.
Guide organisations in adopting Agile frameworks enhanced with AI automation to improve collaboration, adaptability, and business outcomes.
Leverage AI tools to prioritise backlogs, analyse customer behaviour, and align product development with market needs.
Facilitate ceremonies, monitor team velocity with intelligent dashboards, and proactively address impediments using predictive insights.
Yes, you’ll gain hands-on experience with AI-powered project management tools, sprint planning techniques, and Agile workflows, enabling you to apply these skills immediately to real projects and team environments.
This course uniquely blends Agile principles with AI capabilities, teaching you how to automate planning, improve forecasting, optimize resources, and make data-driven decisions for smarter and faster project delivery.
You’ll work on practical projects such as AI-assisted sprint planning, backlog prioritization, risk prediction, workflow automation, and a capstone project simulating an end-to-end Agile project lifecycle.
The course combines core Agile theory with interactive exercises, real-world case studies, hands-on tool usage, and guided simulations, ensuring you actively practice and apply concepts rather than just learning them passively.
You’ll develop in-demand skills in Agile frameworks and AI-driven project management, preparing you for roles such as Scrum Master, Agile Project Manager, Product Owner, or digital transformation lead across industries.
70%
50 multiple-choice/multiple-response questions
