This course will provide you with theoretical and practical knowledge from key business fields. You will apply and deepen your understanding of the technical terms and professional communication skills required in a professional setting through hands-on exercises. You will then learn how to organize and present data relevant to your specific needs, as well as how to apply artificial intelligence in your professional environment.
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Certificates: Goethe-Test PRO" certificate
Data Engineer" certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Goethe-Test PRO -
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: 12 Weeks
Job-related German language support for the commercial and technical sector
Professional Communication in the Workplace (approx. 1 day)
Communication in Typical Professional Situations
Using job-related technical terms in a work context
Understanding job-related texts, work instructions, and company information
Understanding Conversations and Meetings in a Professional Context
Business Correspondence (approx. 2 days)
Layout and Design of Business Letters
Modern salutations and opening lines
Writing Customer-Focused Letters and Emails
AI-powered writing assistance for emails and letters
Reporting in the Workplace
Creating Cover Letters in Accordance with DIN 5008
Artificial Intelligence (AI) in Professional Communication (approx. 1 day)
Overview of AI Tools in the Professional Workplace
Using AI to Support Professional Correspondence
Creating and Optimizing Professional Texts with AI
Opportunities and Limitations of AI in Everyday Work
Professional field of communication management (approx. 3 days)
Communication in the company
Forms of communication in teams
Meetings and presentations
Conflict management
Conducting appraisal interviews
Conducting job interviews
Sales and consultation meetings
Writing offers
Trade fairs and product presentations
Processing complaints
Business Field (approx. 6 days)
Fundamentals of Human Resources, Management, and Labor Law
Fundamentals of Finance and Controlling
Structure and Content of Payroll Processing
Understanding and Interpreting Operational Analyses, Charts, and Statistics
Professional field of marketing (approx. 6 days)
Basics of advertising
Market analysis and market research
Online marketing and e-commerce
Marketing communication
Use of AI in the creation of marketing texts
Business Processes (approx. 7 days)
Restructuring and Process Management
Process Changes Within the Company
Digital Transformation
Energy Management and
Environmental Protection in the Company
Project Management
Occupational field logistics and trade (approx. 8 days)
Production and
Purchasing and procurement
Delivery and transportation
Retail trade
Project work, certification preparation and certification exam "Goethe-Test PRO" (approx. 6 days)
Data Engineer
Fundamentals of Data Engineering and Data Architectures (approx. 2 days)
Tasks and Application Areas in Data Engineering
Fundamentals of Modern Data Architectures and Data Platforms
Fundamentals and Comparison of Cloud-Based Data Architectures
OLTP and OLAP
Processing Structured, Semi-Structured, and Unstructured Data
Requirements Management and Data Modeling (approx. 1 day)
Requirements for Data and Data Sources
Conceptual Data Modeling
Modeling Data Structures and Data Flows
Data Contracts, Data Governance, and Data Lineage
Databases and Data Processing (approx. 1 day)
Database System Architecture
SQL vs. NoSQL vs. NewSQL: A Comparison
Relational Data Modeling
SQL for Querying and Processing Data
Data Warehousing and Modern Data Architectures (approx. 2 days)
Fundamentals and Architecture of Data Warehouse Systems
Dimensional Data Modeling and Schema Design
Facts, Dimensions, and Historical Data Storage
Comparing Data Warehouses, Data Lakes, and Lakehouses
Introduction to dbt
Practical Implementation of Data Models
Data Integration and Data Pipelines (approx. 5 days)
Data Integration and Data Provisioning
ETL and ELT Processes
Design and Orchestration of Data Pipelines
Data Cleaning, Validation, and Data Quality
Batch and Streaming Processing
Practical Application of Airflow and Spark
Programming and Automated Data Processing (approx. 4 days)
Python Environments and Package Management
Data Processing and Transformation with Python
Automation of data processing workflows
Connecting to Different Data Sources and Interfaces
Development of data engineering workflows
Containerization with Docker
AI-powered support in the development and data processing process
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Changes are possible, the course content is updated regularly.
The course provides you with the necessary know-how for employment as a commercial and technical specialist, including job-related German language training, in order to achieve successful integration into the German labor market.
In addition, you have knowledge of data modeling, integration, preparation, and automated processing, and you can design and implement modern data processes.
The course is aimed at people with a degree in computer science, business informatics, mathematics or a comparable qualification.
The course is also aimed at international professionals with a business or technical background who wish to improve their technical and job-related communication skills in order to enter the German job market.
Data engineers develop and maintain data structures and processes that integrate and process data from various sources and make it available for analysis and other applications. As data-driven business processes become increasingly important, these skills are in demand across all industries.
In addition, the course provides you with job-specific German language training so you can draft business correspondence in accordance with current guidelines and communicate confidently with both internal and external stakeholders. With the “ alfatraining ” certificate, you can demonstrate the professional skills you’ve acquired, making it easier for you to enter the workforce and advance in your career.
Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
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).