Product Management Training

Course overview

Training in Product Management Introduction to Product Management Understand the core responsibilities of a product manager Gain practical experience with tools like Confluence and Notion for IT product management workflows Discover the fundamental principles of product development and team collaboration Familiarize yourself with agile documentation practices Strategic Product Thinking Define the product vision and align it with business goals Develop actionable product principles for roadmap development Apply IT product management frameworks to achieve strategic alignment Practice design thinking for innovative product ideas User Research and Discovery Conduct user-centered discoveries for data-driven product design Learn techniques to avoid biases in user research and interviews Analyze user behavior and derive key insights for feature prioritization Utilize research findings to optimize product manager decisions Basics of UX and Product Design Create detailed user profiles, workflows, and journey maps Use user story mapping to outline end-to-end experiences Understand the role of stakeholders in IT product management design Collaborate across teams to ensure experience-driven product development Prototyping and Usability Testing Form and validate hypotheses through rapid prototyping Conduct structured usability tests to evaluate functionality and user acceptance Analyze risks and feasibility during product launch Improve wireframes based on usability insights Planning and Prioritization Develop user stories and define functional/non-functional requirements Use Jira and Confluence to manage development sprints Estimate effort and prioritize features for iterative releases Create roadmaps that support the product manager's lifecycle Agile Product Development Master Scrum and Kanban frameworks for IT product management Compare agile with traditional project approaches Utilize scaling frameworks for large-scale product initiatives Create psychologically safe environments to foster team innovation AI and Data Analysis for Product Managers Identify KPIs and success metrics for product evaluation Apply data analysis to measure outcomes and inform course corrections Utilize generative AI tools in ideation and user engagement Integrate AI-driven insights into product management practices Cross-Functional Collaboration Align with development teams using DoR and DoD Conduct effective developer kickoffs and role-based planning Ensure quality through testing, UAT, and work acceptance Navigate team dynamics to enhance development throughput Leadership and Communication Lead product meetings confidently and clearly Resolve internal conflicts with a solution-oriented mindset Improve reporting using OKRs and agile dashboards Build strong communication as a core competency of the product manager Release and Iteration Implement go-to-market strategies and launch campaigns Manage post-launch phases with a focus on hypercare Continuously improve products through…

Upcoming dates

• 2026-07-28T22:00:00.000Z · 2026-10-25T23:00:00.000Z · Aachen · Combined Learning
• 2026-07-28T22:00:00.000Z · 2026-10-25T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-07-28T22:00:00.000Z · 2026-10-25T23:00:00.000Z · Bonn · Combined Learning
• 2026-07-28T22:00:00.000Z · 2026-10-25T23:00:00.000Z · Dresden · Combined Learning
• 2026-07-28T22:00:00.000Z · 2026-10-25T23:00:00.000Z · Duisburg · Combined Learning