Welche Lerninhalte sind zentral im Bereich Ökosystem Unterrichtsmaterial im CAS AIoT?

In the CAS Artificial Intelligence of Things (AIoT) (UAS), the "teaching material ecosystem" refers to a networked, practical learning environment that combines technological, methodological and application-related content. The focus is on the interaction of artificial intelligence and the Internet of Things in real fields of application. The central learning content (teaching material ecosystem) includes

• Fundamentals of AI and IoT: Introduction to artificial intelligence, machine learning, sensor technology and IoT architectures.
• Linking AI and IoT: How intelligent systems learn from data, recognize patterns and make automated decisions.
• Technological platforms and tools: Use of modern frameworks, cloud services and hardware components in AIoT projects.
• Data analysis and edge computing: processing large volumes of data decentrally and in real time.
• Practical application examples: development and implementation of AIoT solutions in areas such as smart industry, smart home and healthcare.
• Security and data protection aspects: Handling sensitive data and securing networked systems.

This content and ecosystem teaching material provide an in-depth insight into the digital ecosystem of networked intelligence. The course is aimed at professionals who want to drive digital innovation and use AIoT technologies strategically and technically.

Note: The specific design of the content (ecosystem of teaching material) may vary depending on the educational institution. For binding information, we recommend contacting the respective school directly. Using our form, the question can simply be forwarded to the desired institution.