Sprint plans, Release trains, and Migration plans with Prompt

Passt der Kurs zu dir?

1. 1
   Motivation und Lernbereitschaft
2. 2
   Zuverlässigkeit im jeweiligen Arbeitsfeld
3. 3
   Konkrete Zulassung des gewählten Weges prüfen

Das lernst du

1. 1
   Program Objectives
2. 2
   This training program is open to anyone interested in expanding their professional skills. The practical examples and exercises are chosen so they map well to the daily work of IT Project Managers; participation is expressly open to everyone, regardless of current professional role. The course teaches methods, tools, and content that can be applied in many different work contexts.
3. 3
   Practical Application for IT Project Managers
4. 4

   The following typical tasks from the daily work of IT Project Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course

   Sprint plans
   Release trains
   Architecture reviews
   Migration plans
   Program Content
   The program is divided into two core areas: Artificial Intelligence for Project Managers and PRINCE2 Agile Foundation.

5. 5

   AI for Project Managers

   Introduction to Artificial Intelligence (AI) and its fundamental concepts.
   Exploration of AI applications specifically within project management contexts.
   Understanding of Foundation Models and Open-Source AI tools.
   Practical integration of AI into daily project workflows.
   Strategies for implementing AI projects, including ethical considerations, data privacy, and legal frameworks.
   Methods for evaluating AI solutions.
   Development of essential soft skills for AI projects, such as communication, leadership, and change management.
   Specific focus on working with ChatGPT and understanding legal frameworks for AI usage.

6. 6

   PRINCE2 Agile Foundation (Version 2)

   Introduction to PRINCE2 Agile, emphasizing the synthesis of control and agility.
   Understanding of the PRINCE2 Agile Manifesto, mindset, and methods.
   Detailed study of the seven PRINCE2 principles.
   In-depth examination of PRINCE2 practices, including Quality, Plans, Business Case, Organization, Risk, Change, and Progress.
   Comprehensive review of PRINCE2 processes: Directing a Project (DP), Controlling a Stage (CS), Managing Product Delivery (MP), Managing a Stage Boundary (SB), and Closing a Project (CP).
   Focus on agile techniques and practices.
   Guidance on tailoring PRINCE2 for agile environments.
   Understanding the "Fix and Flex" principle for project performance targets.
   Management of stakeholders, roles, and responsibilities within PRINCE2 Agile.
   Practical application of PRINCE2 in project scenarios.
   Preparation for certification through question banks, exercises, and case studies.
   Learning Objectives

7. 7

   Upon completion of this program, participants will be able to

   Apply AI concepts to improve project decision-making and effectiveness.
   Identify and utilize relevant AI tools and Foundation Models in project management.
   Integrate AI into daily project tasks and workflows.
   Understand and navigate the ethical, legal, and data privacy considerations of AI implementation.
   Evaluate the effectiveness of AI solutions in project contexts.
   Apply the principles, practices, and processes of PRINCE2 Agile to manage projects effectively.
   Combine the structure of PRINCE2 with the flexibility of agile methods for hybrid project management.
   Communicate and lead effectively in AI-driven project environments.
   Manage change and stakeholder expectations in projects utilizing AI and agile methodologies.
   Prepare for and achieve PRINCE2 Agile Foundation certification.
   Career Prospects

8. 8

   This program is designed for individuals seeking to advance their careers in project management. Graduates will be well-positioned for roles that require a blend of traditional project management discipline, agile adaptability, and technological foresight. Potential career paths include

   Project Manager
   Agile Project Manager
   IT Project Manager
   AI Project Manager
   Scrum Master
   Product Owner
   Project Coordinator
   Consultant in project management or AI implementation
   The acquired skills are applicable across various industries, particularly in technology, software development, and organizations undergoing digital transformation.

1. 1

   Berlin

   12.10.2026 · Blended Learning · Vollzeit · 1–3 Monate · 1.000–5.000 €

2. 2

   Bremen

   12.10.2026 · Blended Learning · Teilzeit · 3–6 Monate · 1.000–5.000 €

3. 3

   Dortmund

   12.10.2026 · Blended Learning · Vollzeit · 1–3 Monate · 1.000–5.000 €

4. 4

   Dortmund

   12.10.2026 · Blended Learning · Teilzeit · 3–6 Monate · 1.000–5.000 €

Förderwege

Wer deinen Kurs zahlt

Brutto im Monat

Mitte und Viertel bundesweit

3 Schritte vom Kurs in den Beruf

1. 1

   KI auf echte Arbeitsaufgaben anwenden

   Deine Branchenkenntnis bleibt wertvoll, wenn du einen Prozess mit KI unterstützt und das Ergebnis prüfst. Gute Praxis beschreibt Ausgangslage, Daten, menschliche Kontrolle und eine überprüfbare Verbesserung, ohne Automatisierung pauschal zu versprechen. Beispiel: Bearbeite einen kleinen Prozess aus deinem bisherigen Beruf und vergleiche Zeitbedarf und Qualität vorher und nachher.

2. 2

   Fachwissen mit neuen Werkzeugen verbinden

   Branchenkenntnis, Kommunikation und Qualitätskontrolle bleiben wichtig. Gerade im Quereinstieg ergänzt du vorhandene Erfahrung durch ein Projekt mit Quellenprüfung, Versionierung, Freigabe und dokumentierten Grenzen. Beispiel: Ein Bewerbungsbeispiel beschreibt Aufgabe, verwendete Werkzeuge, Prüfung der Ergebnisse und Grenzen des Ansatzes.

3. 3

   Verantwortung schrittweise aufbauen

   Projektkoordination, Schulung und Prozessgestaltung verlangen mehr als Toolbedienung. Achte auf Inhalte zu Use-Case-Auswahl, Datenqualität, Prüfung, Dokumentation und Zusammenarbeit. Vergleiche die Kursaufgaben mit den Zielstellen, die du erreichen möchtest. Beispiel: Vergleiche einen Grundlagenkurs mit einem Projektkurs und entscheide nach deinem aktuellen Kenntnisstand.

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