Agile in AI Projects

Course objectives

The goal of the training is to familiarize participants with the key differences between using Agile methodologies in traditional software development and artificial intelligence related projects, highlighting the unique challenges and adaptive strategies in the context of AI.

Scope of the training

• Origin and reasons why AI projects should be managed differently than software development projects,
• The role of experiential approach and experimentation in the work of AI teams,
• Building AI Teams according to the Tuckmann’s Model with outlining the new responsibilities present in AI Projects,
• Adapting Agile on the example of AI Projects:
  • Characteristics of teams working with AI
  • Differences in the use of tools and practices
• The role of the Scrum Master/Agile Coach/Manager – how to fill it correctly and what to avoid?
• Demonstration of AI tools can be used in daily work,
• Training on best practices regarding Prompt Engineering in Scrum Master/Agile Coach/Manager’s work,
• Preparation for post-training activities: How to continue learning and developing in the area of Agile and AI,
• Best practices and most common mistakes: learning from experience and avoiding pitfalls in AI projects.

Benefits

Gain an understanding of the unique aspects of applying Agile methodologies to AI projects compared to traditional software development, enabling better understanding and use of these methodologies in specific contexts.

Develop the ability to identify and adapt to challenges specific to AI projects, which will increase efficiency and effectiveness in managing these projects.

Trainees will learn and understand:

• The differences between managing and executing an agile project based on the traditional Software Development Life Cycle (SDLC) and Artificial Intelligence Life Cycle (AILC),
• The mindset in AI projects,
• Characteristics of creating agile teams in AI,
• Best practices for using Scrum and Kanban frameworks adapted to AI specifics,
• Examples of the use of AI tools to support daily work,
• Application and effective use of prompt engineering.

The audience will gain detailed knowledge to:

• Conducting AI projects in an agile manner, especially in the role of Scrum Master/Agile Coach,
• Selection of tools and frameworks suitable for AI teams,
• Applying best practices to support the work of AI teams.

Audience

• AI Project Leaders and Managers: Those looking for effective project management methods.
• Scrum Masters and Agile Coaches: Interested in the specifics of working with AI projects.
• Developers and data analysts in AI projects: Wanting to increase the efficiency of their work by applying agile methodologies.
• Those interested in a career in AI project management: Looking for a solid foundation in agile methodologies.