Kanban & Python + HTML, CSS

Course overview

This training combines Scrum principles with Kanban practices, as well as practical Python programming and modern frontend development for immediate professional application. Scrum Kanban & Python, HTML, CSS Agile work, reliable delivery capability, and technical implementation Overview and Objectives: Participants will learn how to combine Scrum values and Kanban techniques to make work visible, limited, and manageable. Additionally, web development (HTML5, CSS3, SASS, Bootstrap) and Python-based programming, including AI support, will be taught. The focus is on measurable increases in team delivery capability, reliable forecasts, and concrete implementation skills in product projects. Methodical Progression and Didactic Structure: Starting with the fundamentals of Scrum, roles, and events, participants will deepen their knowledge of Kanban practices for flow optimization, WIP control, and bottleneck resolution. Building on this, they will develop programming skills in Python (variables, control structures, functions, error handling), learn to apply AI-supported tools and prompt engineering, and finally implement responsive frontend with semantic HTML, CSS layout (Flexbox/Grid), SASS/SCSS, and Bootstrap. Specific Learning Objectives Scrum & Kanban: Design work systems according to Scrum principles, introduce Kanban boards, define WIP limits, measure throughput, processing, and waiting times, formulate forecasts as ranges, structure the product backlog in a value-oriented manner, and adjust release plans to actual capacities; Result: Teams increase reliability, planning security, and team responsibility. Specific Learning Objectives Python & AI: Plan, write, and modularly structure Python programs; use standard libraries (json, datetime, re, math); systematically debug and handle errors; utilize AI tools as assistance in coding and apply prompt engineering for code generation, test automation, and refactoring; Result: automatable scripts, data processing pipelines, and entry-level skills for data science/automation. Specific Learning Objectives Web Development & Frontend: Semantic HTML and SEO basics, CSS cascade, box model, Flexbox and Grid for responsive layouts, mobile-first approach, SASS/SCSS structuring (variables, mixins, partials), and customization of Bootstrap components; Result: finished, maintainable responsive websites and reusable stylesheets for frontend projects. Practical Relevance, Transfer, and Employability: Through realistic exercises, implementation tasks, and project work, participants will set up work systems, create modular Python scripts, integrate AI aids, and realize responsive websites; Fields of application: product development, web agencies, automation, data analyst roles, as well as positions as product owner, scrum master, frontend developer, or AI user. The measure promotes the immediate applicability of Scrum-Kanban practices and technical skills in professional everyday life.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-08-16T22:00:00.000Z · 2026-11-19T23:00:00.000Z · Virtuelles Klassenzimmer