Kanban & Python + HTML, CSS & AI

Course overview

This program combines Scrum-based methodologies with Kanban flow control, Python programming, frontend technologies (HTML, CSS, SASS, Bootstrap), and practical AI applications, enabling participants to link agile delivery capabilities, coding, and AI skills and apply them directly in projects. Scrum-oriented practice for product development, Python course, frontend HTML/CSS, and AI fundamentals Structure and Goals: The course progresses from basics to advanced topics: first Agile and Scrum principles, then Kanban flow, basic programming in Python and frontend HTML/CSS, and finally AI fundamentals and integration scenarios. Learning objectives include reliable delivery, flow-optimized planning, automated workflows with Python, and AI-supported text/image processing, as well as the development of functional mini-projects and a final responsive prototype. Applying Scrum with Kanban: You will learn to manage Scrum teams using Kanban principles, make work visible, set WIP limits, and structure the Product Backlog in a value-oriented manner. Metrics such as throughput, lead time, and cycle time will be determined, bottlenecks analyzed, and release planning implemented using bandwidth forecasts from historical data. The result: improved predictability, more stable releases, and pragmatic decisions to limit parallel work. Practically Utilizing AI Fundamentals: Concepts of ML vs. DL, application areas, and critical evaluation will be taught. Participants will learn prompt engineering, the use of chatbots, and text and image AI for automating routine tasks. Data protection, bias, and ethics are integral components; the goal is the secure integration of AI functions into business processes and the ability to assess opportunities and risks. Python and AI-supported Programming: The Python course covers syntax, control structures, functions, and data structures, as well as libraries (e.g., json, datetime, statistics) and best practices for error handling, testing, and debugging. The focus is on automation, data analysis, and the use of AI tools for writing and refactoring code so that Python and AI together produce productive, maintainable solutions. Frontend Development HTML/CSS & Web Development Bootstrap: Focus on semantic HTML5, CSS3, responsive design with Flexbox and Grid, mobile-first strategies, as well as SASS workflow and Bootstrap customization. Accessibility, performance, and clean project structure ensure productive use in frontend projects; the result is a responsive, maintainable prototype as proof of application competence. Transferability and Career Prospects: The combination of Scrum Kanban, Python, and frontend technologies plus AI enables roles as Product Owner, Scrum team member, developer, data analyst, or content manager. Final projects are functional mini-projects and a final prototype that demonstrate direct applicability in product development, release planning, automation, and digital transformation.

Upcoming dates

• 2026-09-13T22:00:00.000Z · 2026-12-31T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-27T22:00:00.000Z · 2027-01-14T23:00:00.000Z · Virtuelles Klassenzimmer