Agile, Scrum and Kanban with AI

• Get to know the best practices of Prompting in ChatGPT, Gemini and Claude
• We will lay out on the shelves: what Agile, Scrum and Kanban are, what is the difference, and why choose each of these approaches
• Let's take a look (briefly, but essentially) at the Agile Manifesto and its principles
• Let's do an overview of the Kanban approach: how it works and why it is chosen by a large number of commands
• Practice creating a Kanban board, defining WIP limits, and managing a team with this approach

• Understand when it is better to work for Kanban and when — for Scrum
• Let's go through the whole Scrum process, key events and see what everything looks like on a real project
• Analyze Scrum artifacts: backlog, increments — and learn how to create them with AI
Talk about definition of done and definition of ready — and why your team needs it
• Practice in conducting daily stands and finding solutions to typical Scrum team problems — with the support of AI

• Understand how to assemble a Scrum team, distribute roles and create a vision for the project
• Do sprint planning and prioritize backlog together with AI
• We will refine the tasks: write user stories, formulate acceptance criteria for our project
• Learn how to conduct Sprint Review and collect feedback from stakeholders using AI
• Let's finish with a retrospective: how to analyze a sprint and improve the process — also with the help of AI