The combination provides in-depth knowledge for activities in the field of data science and links cloud fundamentals with data analysis, artificial intelligence, and programming. Content includes Microsoft Azure, SQL, and Python, as well as practical work on real data science projects.
The focus is on modern technologies and methods for structured data processing and analysis. Suitable for entry-level or professional development in the fields of data, AI, and AI, eligible for funding, and flexible enough to be completed on a part-time basis.
Overview of artificial intelligence in Azure with a focus on machine learning, computer vision, and natural language processing. Teaches how to evaluate and use AI services.
Certification: Microsoft Azure AI Fundamentals
Fundamentals of cloud concepts, key Azure services, and security aspects. The module provides a solid understanding of the structure and possible applications of Microsoft Azure.
Certification: Microsoft Azure Fundamentals
Introduction to data concepts and Azure data services. Covers relational and non-relational data as well as modern data platforms as a basis for data engineering and data science.
Certification: Microsoft Azure Data Fundamentals
Teaching basic and advanced SQL queries. Focus on efficient analysis, processing, and evaluation of data in relational databases.
Certification: New Horizons Certificate of Attendance
Practical implementation of data science solutions in Azure. Topics include model training, deployment, and monitoring in the cloud.
Certification: Microsoft Azure Data Scientist Associate
Focus on Microsoft Fabric and data-driven architectures. Teaches skills in data integration, transformation, and analysis, as well as the development of modern data pipelines.
Certification: Microsoft Fabric Data Engineer Associate
Introduction to programming with Python and its use in data analysis. Covers syntax, data structures, and initial data science applications.
Certifications:
Introduction to Python
Python for Data Science
Start date: Flexible start possible at any time.
Duration: 6.25 months full-time, or part-time with a correspondingly extended duration.
Delivery: Live online lessons with supervised learning phase and structured exam preparation.
Location: Location-independent participation possible – in the training center or from home.
Target group:
Suitable for people interested in data analysis, artificial intelligence, and data-driven applications who want to gain qualifications or further their development in the field of data science and cloud technologies. The course is aimed at career starters, career changers, and professionals from IT, technology, or analytical fields who want to build skills in data & AI.
Prerequisites: Basic computer skills and a general
technical understanding are required. Initial experience with data, spreadsheets, analysis, or programming is helpful but not a prerequisite. Basic English skills are recommended, as some of the learning materials and certification exams are in English.
Funding:
Funding of up to 100% is available through the education voucher from the Employment Agency or Job Center. In addition, funding under the Qualification Opportunities Act can be used for employees and companies.
We are AZAV certified
. As an AZAV-certified educational institution, our continuing education programs are practical, labor market-oriented, and aligned with current requirements in the fields of data science, cloud computing, and AI. The modular structure enables flexible, sustainable qualification for data-driven professions.
Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.
For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.
