As a graduate of an apprenticeship in Smart Technologies, you are a professional in topics such as big data or data management and data processing, the Internet of Things (IoT), artificial intelligence or machine learning and blockchain technologies. All topics that are very topical and in high demand on the job market. With qualified specialist knowledge of the advantages and disadvantages of the individual intelligent technologies, their assessment and the development of solutions, you have good career opportunities.

Finally, the training also offers you the opportunity to expand your social and personal skills and increase your visibility with the partner companies.

Further training in the field of Smart Technologies can be completed as a CAS, i.e. a Certificate of Advanced Studies. It is usually designed to be completed alongside work and has a modular structure. The modules each deal with different key topics. The focus is on imparting practical and theoretical knowledge about the individual technologies. For example, what are the advantages and disadvantages? Or: How can the individual smart technologies be successfully embedded in the respective digital ecosystem in line with requirements?

The knowledge is then usually deepened in practical tasks and group work and the results are presented to the participants.

Training in the field of smart technologies is generally aimed at professionals who are interested in the topic of intelligent technologies and would like to use or develop them in their professional environment or company. It is aimed at Project managers, product managers, software developers and team leaders.

Further training on the subject of smart technologies usually has a modular structure. The modules cover different topics, such as

• DataThe module focuses on the management, security/protection and processing of data.
• Internet of Things: This is all about the IoT, or Internet of Things. The following points are discussed: Definition and meaning of IoT, IoT core components and technologies, IoT security and integration of IoT solutions into digital ecosystems.
• Blockchain technologiesThe module provides a basic introduction to blockchain technologies. In addition, security aspects are discussed and practical use cases are demonstrated.
• Artificial intelligence and machine learningThe module provides you with an overview of the applications and technologies of artificial intelligence. Data analysis is also discussed in this context. Concrete use cases also demonstrate the use of AI and machine learning in the company.
• Cloud & PlatformsHere you will get an overview of the digital platforms, cloud services and technologies and the current provider market. You can also find out more about the requirements, planning and implementation of a platform and cloud service.

The admission criteria may vary depending on the provider. For a CAS at university of applied sciences level, a corresponding previous education or a degree at continuing education and training / tertiary level as well as relevant professional experience are generally required. Depending on the provider of the training in Smart Technologies, admission "sur dossier" is also possible.

It is best to contact the provider of your choice directly.

After training in the field of smart technologies, you will not only know about the most relevant smart technologies, but also have the necessary skills to implement them successfully in practice. To do this, you will know the advantages and disadvantages of the individual smart technologies, be able to assess each case accordingly and develop solutions.

They can therefore not only combine technological expertise and solution competence, but also develop functioning and sustainable business models.