Kanban & JavaScript

Course overview

Scrum Kanban & JavaScript combines agile work management with modern web programming: In Scrum Kanban & JavaScript (also known as Scrum with Kanban (PSK 1), AI meets JavaScript), participants learn how reliable flow, clear backlog strategies, and JavaScript plus AI-supported tools can produce effective results. Practical relevance and career perspectives * Concrete application scenarios ** In practice, Scrum Kanban & JavaScript supports teams in building visible work systems, predicting releases as bandwidths, and using JavaScript to implement interactive user interfaces. Delays are addressed with throughput and wait time measurements. ** Areas of application range from agile product development to frontend development and agency projects; relevant roles include Product Owner, Scrum Master, Frontend Developer, Junior Developer, and technical writers. ** The connection to real work contexts is evident in release planning, backlog maintenance, flow optimization, debugging processes, and the use of Artificial Intelligence (AI) for code improvement. Scrum with Kanban * Introduction and goal ** Scrum with Kanban teaches how a Scrum team makes work visible, sets rules for starting, progressing, and completing tasks, and takes responsibility for the flow. Self-management is supported by transparent information. ** Forecasts are generated as bandwidths based on historical data; release plans are adjusted according to observed results. The Product Backlog serves as an ordered representation of the next effective steps, considering benefits, risks, and dependencies. ** Flow optimization uses metrics such as throughput, lead time, and cycle time, identifies queues and bottlenecks, and derives actions such as adjusting batch sizes or smoothing handovers. - Making work visible and limiting WIP - Structuring the Product Backlog by value and completion capability - Creating and validating forecasts as bandwidths - Flow measurements: throughput, processing, and wait times - Measures against bottlenecks: batch sizes, handovers, prioritization ** At the end, participants can set up a work system, formulate forecasts with traceable assumptions, and read flow data to increase deliverability and reliability. Programming concepts in IT - JavaScript and AI * Introduction and goal ** Programming concepts in IT JavaScript and AI convey JavaScript fundamentals combined with AI-supported development practices. Participants learn about variables, data types (String, Number, Boolean), control structures, as well as loops and functions for structuring code. ** Data modeling with arrays and objects, DOM (Document Object Model), and browser interaction are the focus. Debugging methods, VS Code, and meaningful project structuring are practiced; prompt engineering and AI tools assist in writing and testing code. - Variables, data types, and operators - Conditions, loops, and functions - Arrays, objects, and data manipulation - Basics of DOM and interaction with the browser - Use…

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-08T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Virtuelles Klassenzimmer

More courses in this field

• Fundamentals of AI for Full Stack Developers

  Digitale Leute School

• Software Developer: Software Optimization and User Interface

  Syntax GmbH für Aus- und Weiterbildung

• Full-Stack Developer with a Focus on Databases, Python, Big Data, and Modern Web Development (m/f/d)

  Habmann AufstiegsAkademie

• Process Automation Specialist with Additional Qualification in Python, Advanced Course

  brainymotion