Agile in AI Projects

Why take this course

If you work with AI projects and feel that classic Agile approaches are not always sufficient, then this training is for you. You will learn how to adapt agile methodologies to the specifics of AI, discover unique challenges, and find out how to build and lead AI teams. You will gain practical tools and strategies to effectively manage AI projects and avoid common pitfalls.

What you’ll learn

• You will understand why AI projects require a different approach than traditional software development.
• You will learn about experimentation and an empirical approach as key competencies of AI teams.
• You will learn how to build AI teams according to the Tuckman model, taking into account new roles and responsibilities.
• You will learn to adapt Agile in AI projects, understanding the characteristics of AI teams and the differences in tools and practices.
• You will understand the role of the Scrum Master, Agile Coach, and Manager in AI projects—what works and what to avoid.
• You will master practical tools and how to use them in daily Agile work with AI.
• You will learn about prompt engineering for the Scrum Master, Agile Coach, and Manager.
• You will learn how to continue learning and developing in the field of Agile and AI after the training.
• You will learn the best practices and most common mistakes in AI projects to avoid them.

Who is this course for

This course is intended for AI project leaders and managers, Scrum Masters and Agile Coaches, developers and data analysts, and individuals aspiring to roles in AI project management. It is ideal for anyone who wants to gain a solid foundation in Agile within the context of artificial intelligence.

Topics covered

• Why do AI projects require a different approach than traditional software development?
• Experimentation and an empirical approach—key competencies of AI teams.
• Building AI teams according to the Tuckman model—new roles and responsibilities.
• Adapting Agile in AI projects:
  Characteristics of AI teams.
  Differences in tools and practices.
  The role of the Scrum Master, Agile Coach, and Manager—what works and what to avoid?
• AI in daily Agile work—practical tools and how to use them.
• Prompt engineering for the Scrum Master, Agile Coach, and Manager.
• What’s next after the training? How to continue learning and developing in the field of Agile and AI.
• Best practices and the most common mistakes—what to watch out for and how to avoid problems in AI projects.