Certified ScrumMaster with AI (CSM)
Training Provider: NTUC LEARNINGHUB PTE. LTD.
Course Reference: TGS-2026065987
S$705
Original: S$2,350
Save S$1,645
About This Course
This three-day course provides an experiential introduction to Agile, Scrum and the Scrum Master role.
The course combines concepts with hands-on activities, simulations, role-plays and practical AI exercises. It also prepares learners to take the Certified ScrumMaster (CSM) exam from Scrum Alliance, which is widely recognized worldwide.
Upon successful completion of the course, learners will also receive the “AI for Scrum Masters” micro-credential from Scrum Alliance.
What You'll Learn
• LO1: Explain Agile values and principles, Scrum theory and the Scrum framework, and describe how Scrum supports empirical product development in complex environments.
• LO2: Describe Scrum Team accountabilities and apply Scrum practices to support self-management, collaboration and team effectiveness.
• LO3: Facilitate Scrum events and apply techniques to support inspection, adaptation, impediment removal and continuous improvement.
• LO4: Coach Product Owners and Scrum Teams to manage, order and refine the Product Backlog and deliver valuable Increments.
• LO5: Apply systems thinking, facilitation and change practices to support Scrum adoption and improvement across teams and organizations.
• LO6: Analyze team and organizational performance using appropriate measures and forecasting approaches, and identify opportunities to improve flow, quality and value delivery.
• LO7: Explain how AI can augment the ScrumMaster role and distinguish what should remain human.
• LO8: Apply AI to support ScrumMaster activities, including information analysis, facilitation, coaching and team improvement.
• LO9: Analyze team and organizational information using AI to identify patterns, distinguish evidence from inference, and design systemic improvement experiments.
• LO10: Evaluate AI use cases and apply responsible AI practices in automation and organizational change, considering bias, privacy, confidentiality, consent, ethics and human oversight.
• LO2: Describe Scrum Team accountabilities and apply Scrum practices to support self-management, collaboration and team effectiveness.
• LO3: Facilitate Scrum events and apply techniques to support inspection, adaptation, impediment removal and continuous improvement.
• LO4: Coach Product Owners and Scrum Teams to manage, order and refine the Product Backlog and deliver valuable Increments.
• LO5: Apply systems thinking, facilitation and change practices to support Scrum adoption and improvement across teams and organizations.
• LO6: Analyze team and organizational performance using appropriate measures and forecasting approaches, and identify opportunities to improve flow, quality and value delivery.
• LO7: Explain how AI can augment the ScrumMaster role and distinguish what should remain human.
• LO8: Apply AI to support ScrumMaster activities, including information analysis, facilitation, coaching and team improvement.
• LO9: Analyze team and organizational information using AI to identify patterns, distinguish evidence from inference, and design systemic improvement experiments.
• LO10: Evaluate AI use cases and apply responsible AI practices in automation and organizational change, considering bias, privacy, confidentiality, consent, ethics and human oversight.
Entry Requirements
1. Read, write, and speak English at WPL Level 5
2. A working background in a technology role (infrastructure, data, security, development, operations, networking or project management)
3. Basic familiarity with Agile & Project Management
Course Details
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