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Agile and Scrum remain essential frameworks for modern teamwork, but artificial intelligence is reshaping how teams plan, adapt, and deliver. Introduction to AI in Scrum prepares you to apply AI tools directly within Scrum events and artifacts, without breaking the principles of Agile.
Scrum Certification with AI
您将学到什么
Explain how AI augments Scrum events without breaking Agile values. Apply AI to backlog refinement, sprint planning, and retrospectives.
您将获得的技能
- Sprint Retrospectives
- Prompt Engineering
- Agile Project Management
- Agile Methodology
- Sprint Planning
- Agile Software Development
- Generative AI Agents
- AI Product Strategy
- Responsible AI
- Scaled Agile Framework
- Predictive Analytics
- Artificial Intelligence
- Backlogs
- Dependency Analysis
- Generative AI
- Agile Product Development
- Prioritization
- AI Personalization
- Scrum (Software Development)
- Data Ethics
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
This module builds a foundation by revisiting Agile and Scrum principles and mapping AI directly to Scrum events. You will explore how AI can support standups, backlog refinement, and retrospectives, while ensuring that Scrum values and cadence remain the guardrails.
涵盖的内容
9个视频3篇阅读材料2个作业3个插件
This module focuses on sprint planning, backlog prioritization, daily standups, and retrospectives. You will see how AI can estimate effort, rank backlog items, and surface blockers. You will also practice using AI to highlight recurring patterns in retrospectives and keep standups sharp and actionable.
涵盖的内容
7个视频3篇阅读材料2个作业2个插件
This module prepares you to apply AI responsibly in complex environments. You will use AI to forecast delivery risks, surface dependencies, and manage uncertainty. You will also learn how to establish ethical guardrails and personalize AI prompts and automations so that your team adopts AI as a trusted, tailored tool.
涵盖的内容
8个视频4篇阅读材料3个作业2个插件
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