Smart Technologies: Training, overview of providers, information

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 information can be obtained via the contact form of the respective school - quickly, easily and without obligation.

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.

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.

Continuing education, further training in the field of smart technologies is usually modular and covers various technological focal points. The content may vary slightly depending on the provider and level of training. Common modules include

• Data ManagementTeaches the basics of data collection, storage, processing and protection. The focus is on topics such as data protection, data security and data analysis.
• Internet of Things (IoT): Deals with the networking of devices and systems. It deals with the definition, core components and technologies of the IoT as well as security aspects and integration into existing digital infrastructures.
• Blockchain technologiesGives an introduction to how blockchain works and its areas of application. In addition to the technical basics, security, transparency and specific use cases are also covered.
• Artificial intelligence (AI) and machine learningThis module deals with applications and technologies of artificial intelligence and machine learning. The role of data analysis and practical examples from the corporate world are also highlighted.
• Cloud computing and platforms: Focuses on digital platforms, cloud services and the most important providers on the market. Aspects such as planning, implementation and security requirements of cloud solutions are presented in detail.

These modules provide practical knowledge for technological change and are tailored to the needs of the digital working world.

As each school determines the course content individually, the specific topics may vary slightly. For binding information, we recommend contacting the respective educational institution directly. Questions can be forwarded directly to the desired school via our contact form - simple and uncomplicated.

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.