This course provides you with theoretical and practical knowledge from key areas of business. It focuses on the practical application and in-depth study of the technical terminology and professional communication skills required in a professional setting. The course also introduces Apache frameworks, explains the MapReduce philosophy, the most important components, and the use of artificial intelligence (AI).
-
Certificates: Goethe-Test PRO" certificate
Certificate "Big Data Specialist" -
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.)
-
Language of Instruction: German
-
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)
Big Data Specialist
What is Big Data? (approx. 1 day)
Volume, Velocity, Variety, Value, Veracity
Opportunities and risks of large amounts of data
Differentiation: business intelligence, data analytics, data science
Introduction to data mining
Role of AI and data-driven systems in the big data environment
Introduction to big data frameworks (approx. 2 days)
Big data solutions in the cloud (overview of AWS, Azure, GCP)
Data access patterns
Data storage
Introduction to data lakes and data warehouses
Overview of Apache Hadoop and Spark
Distributed data processing with Spark (approx. 3 days)
Basics of distributed systems
Apache Spark (Core and SQL)
Comparison of different approaches to data processing
Processing large amounts of data
Introduction to simple ML workflows with Spark
Data pipelines and data integration (approx. 2 days)
ETL and ELT processes
Batch vs. streaming processing
Basics of data pipelines
Introduction to orchestration (e.g. Airflow overview)
Data quality and preparation
Components (approx. 2 days)
Brief presentation of various tools
Data transfer
Overview of resource management in big data systems
Hadoop ecosystem
Apache Spark deepening
Introduction to streaming technologies
NoSQL and data storage (approx. 2 days)
CAP theorem
ACID and BASE
Types of databases
HBase
Introduction to document-oriented databases
Introduction to storage formats
Overview of data lakehouse approaches
Big Data Visualization (approx. 2 days)
Theories of visualization
Diagram selection
New types of diagrams
Tools for data visualization
Introduction to BI tools (e.g. Power BI, Tableau)
Basics of data-driven decision making
Data governance and data protection (approx. 1 day)
Basics of the GDPR in the data context
Data ethics and responsible handling of data
Data quality and governance concepts
Access controls and security
Fundamentals of responsible AI use
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.
After the course, you will also be able to process large, unstructured amounts of data with the help of tools and cloud technologies. You will have knowledge of current big data frameworks, be able to analyse data, classify AI-supported processes and visualize results in an appealing way.
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.
As companies have to manage and structure ever-increasing volumes of data to evaluate and set objectives for their business processes, data processing skills are in demand in all sectors.
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).