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Certificates: Certificate "Professional Scrum Master (PSM II) from Scrum.org"
Certificate "Artificial intelligence (AI) for software developers" -
Examination: Practical project work with final presentation
Scrum.org certification PSM II - Professional Scrum Master (in English) -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 5 Weeks
Agile project management with Scrum: Master (PSMII)
Deepening the Scrum framework (approx. 2 days)
Scrum principles, values and rules
Roles and artifacts in the Scrum framework
Scrum events (e.g. sprint goal)
Measurement and metrics in Scrum
Meaning of "Done" for product increments
Servant Leadership (approx. 2 days)
Servant leadership at its best!
Self-organization and personal responsibility
Support for the scrum team, the product owner and the organization
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Complex situations and challenges (approx. 4 days)
Analyzing and resolving team conflicts
Dealing with complexity and removing obstacles (impediments)
Understanding the challenges of middle management
Applying Scrum in complex and real-life situations
Coaching skills and techniques (approx. 3 days)
Methods and tools for effective coaching of teams
Facilitation techniques
Collaboration techniques
Giving constructive feedback
Supporting the development process
Organizational development and change (approx. 4 days)
Effects of Scrum on the organizational structure
Methods for promoting change in the organization
Bringing about change and support in the Scrum team environment
Project work, certification preparation and Scrum.org certification Professional Scrum Master (PSM II) in English (approx. 5 days)
Artificial intelligence (AI) for software developers
Basics of Artificial Intelligence (AI/AI) (approx. 0.5 days)
What is artificial intelligence?
Definition and history of AI
Difference between weak and strong AI
Overview of AI-based applications
DIN/TS 92004:2024
Introduction to Machine Learning (ML) (approx. 0.5 days)
Definition and basic concepts
Supervised vs. unsupervised learning
Examples of ML applications
Data pre-processing and visualization (approx. 1 day)
Data preparation (sources, cleansing and transformation)
Meaning and techniques of feature engineering
Scaling and normalization
Categorical and numerical features
Importance of data visualization
Creating diagrams and plots
Supervised learning (approx. 1 day)
Linear and multiple regression models
Evaluation of regression models
Classification models
Model evaluation and optimization
Unsupervised learning and deep learning (approx. 1 day)
Clustering methods
Dimension reduction
Basic concepts/architectures of deep learning
Neural networks and how they work
Overview of deep learning frameworks
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
After this course, you will have a firm grasp of the Scrum framework and be able to initiate and implement changes in the organization. You will tackle complex situations and challenges with the help of Scrum techniques and be able to conduct coaching sessions with the Scrum team.
You also understand the basics of artificial intelligence and machine learning. You will be able to process data, create and evaluate models and have initial experience with deep learning and unsupervised learning.
Project managers who want to develop their skills and specialists and managers who already have experience in agile project management.
Through this course, you will deepen your knowledge of the Scrum framework and develop advanced coaching and leadership skills. You will master complex situations in projects and develop teams through targeted coaching. This opens up opportunities for you as a Senior Scrum Master, Agile Coach or in management positions. With the official certificate from Scrum.org, you will acquire internationally recognized proof of your qualifications as a Scrum Master.
Additional knowledge of AI applications in development is in high demand across all industries.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).