Understanding Agile and Scrum

SKU: NTV-QAUAS

183.570 kr.

In today’s fast-paced, technology-driven world, agility is essential for success. This course provides a practical introduction to Agile principles and the Scrum framework, equipping participants with the mindset and tools to thrive in complex, rapidly changing environments. Through interactive exercises, real-world examples, and expert facilitation, learners will discover how Agile transforms organisations, accelerates delivery, and fosters innovation.

Forkröfur

No prior Agile experience required (ideal for beginners and those seeking a refresher).

Target Audience

This course is designed for: Project Managers, Product Owners, Scrum Masters, Developers, Designers, Business Analysts, and leaders driving Agile transformation.

This course is suitable for anyone with no prior knowledge of Agile that is considering, evaluating or involved in a move towards working in (or with) a Scrum team.

Nemandi mun læra eftirfarandi

By the end of this course, learners will be able to:

  • Explain Agile principles, values, and the Agile Manifesto
  • Describe the Scrum framework, including accountabilities, events, and artefacts
  • Apply empirical process control (transparency, inspection, adaptation)
  • Understand and manage Product Backlogs, define Sprint Goals, and deliver usable increments
  • Use estimation techniques such as story points and T-shirt sizing
  • Foster collaboration and continuous improvement within teams.

Samantekt

  • Introduction to Agile: Why Agile matters, Agile vs. Waterfall, Agile Manifesto
  • Agile Frameworks: Scrum, Kanban, Lean, XP, SAFe;
  • Scrum Framework: Accountabilities, Events, Artefacts
  • Empiricism in Practice
  • Scrum Values
  • Product Backlog & User Stories
  • Estimation Techniques
  • Hands-on Exercises
  • Business Agility & Cultural Shift

Exams and Assessments

No formal exam.

Hands-On Learning

  • Practical exercises to reinforce concepts
  • Real-world scenarios for backlog creation, user story writing, and estimation.