Bachelor Professional in Künstlicher Intelligenz und Maschinellem Lernen

Preparation courses for the examination take place at educational institutions of Chambers of Industry and Commerce (IHK) and other educational centers. For online learning units, the learning location is at home.

Occupation type: Advanced training occupation (Bachelor Professional). Type of advanced training: Advanced training examination according to the regulations of the Chambers of Industry and Commerce (IHK). Participation in preparation courses is not required. Advanced training duration: Varies depending on the educational offer – 15-31 months (part-time). Tasks and activities: Bachelor Professionals in Artificial Intelligence and Machine Learning specifically use AI and ML technologies to practically optimize data-driven processes in companies. They analyze and structure data, develop concrete applications from it, and technically integrate these into existing systems. They also ensure that the applications function reliably during ongoing operations. They design solution-oriented processes for digital transformation, are responsible for individual project modules, and coordinate interdisciplinary agile teams. They provide economically meaningful, directly usable AI solutions and further develop applications to increase efficiency.

Varies depending on the educational offer: Part-time: approx. 15-31 months.

Course fees apply for attending preparation courses, and examination fees for the examination itself. Further costs may arise, e.g., for work materials, travel to the training center, or for external accommodation. Funding opportunities: Preparation courses for the advanced training examination can be financially supported according to the Advanced Training Promotion Act (Aufstiegsfortbildungsförderungsgesetz). Further information: Aufstiegs-BAföG - Advancement with Funding. Promotion of particularly talented young professionals: Stiftung Begabtenförderung berufliche Bildung (SBB) - Advanced Training Scholarship.

Implementation and application possibilities of data-based AI models. Basic concepts of AI and Machine Learning. Opportunities and challenges of AI. Data handling. Data analysis and Machine Learning. Programming fundamentals for Machine Learning (e.g., Python). Designing (change) processes and leading projects. Process management. Project management methods. Innovation management. Digital transformation management. Legal foundations. Types of company law and contract types. Data protection and data security issues. Types of taxes and calculations. Copyright and patent law. EU directives on AI applications. Types of employment relationships. Works constitution law. Weighing and assessing economic aspects. Assessment methods. Economic aspects. Employee leadership and personnel management. Personnel selection and personnel deployment planning processes. Agile employee/team leadership methods. Consideration of labor law provisions. Participation rights of works constitutional bodies. Future.

In-depth knowledge in the following areas are good prerequisites for successfully passing the advanced training examination: Planning/Organization: e.g., to plan and manage projects and introduce new procedures. Informatics: e.g., to evaluate AI models and develop data-based solutions. Economics and Law: e.g., to apply data protection regulations and legal provisions for data handling. German/English: e.g., to present project results or create reports.

This advanced training consists of theoretical and practical lessons. Depending on the education provider, the instruction time is generally part-time, on weekends or in the evenings. For digital learning formats (e.g., virtual classroom), learning primarily takes place via electronic learning platforms and systems, mostly from home within a class setting.

Participation in preparatory courses is not remunerated.

The following advanced training alternatives are available for the profession of Bachelor Professional in Künstlicher Intelligenz und Maschinellem Lernen: In the field of Artificial Intelligence, State-Certified Technician / State-Certified Technician specializing in Artificial Intelligence or Bachelor Professional in Technik, KI-Manager/KI-Managerin (AI Manager). Commonality: Shaping transformation processes with the help of artificial intelligence. In the field of IT Coordination, Bachelor Professional in IT. Commonality: Coordinating IT projects and analyzing requirements. In the field of Networking, Data and Information Security, Bachelor Professional in Betriebsinformatik. Commonality: Managing and digitally networking company processes and data. In the field of Hardware and Software Development, State-Certified Technician / State-Certified Technician specializing in Informatics (focus on AI and Robotics) or Bachelor Professional in Technik. Commonality: Developing and implementing AI-based systems to solve specific technical or operational tasks.

In 2020, the novellization of the Berufsbildungsgesetz (BBiG) and the Handwerksordnung (HWO) introduced advanced training qualifications such as 'Geprüfte/r Berufsspezialist/in', 'Bachelor Professional', and 'Master Professional'. This aims to emphasize the equivalence of vocational and academic education. The use of these professional titles depends on the enactment of corresponding new advanced training regulations. In 2022, the IHK Region Stuttgart published special legal provisions for the examination to become a Bachelor Professional in Künstlicher Intelligenz und Maschinellem Lernen. In 2024, the Berufsbildungsvalidierungs- und -digitalisierungsgesetz came into force, introducing adjustments to the BBiG and HWO. These include a process for determining and certifying individual professional competence (professional validation) against the standard of a recognized apprenticeship, independent of a formal vocational training qualification.

Typically, individuals who have successfully passed another examination before a public or state-recognized educational institution or a state examination committee that meets the same requirements can be exempted from individual examination components.

Degree Title: Bachelor Professional in Künstlicher Intelligenz und Maschinellem Lernen (IHK)

The Bachelor Professional in Artificial Intelligence and Machine Learning is a professional advanced training. The examination is regulated by the legal provisions of the respective Chamber of Industry and Commerce (IHK). Admission requirements, duration, and degree titles may vary depending on the responsible chamber. It is not necessary to attend a course to be admitted to the examination.

After completing their advanced training, Bachelor Professionals in Artificial Intelligence and Machine Learning primarily work in the IT sector. They can also be employed in companies across various economic sectors or in research and development departments. They can maintain, update, and expand their expertise through adaptive further training. The range of topics extends from project management to IT security. With their advanced training qualification, Bachelor Professionals in Artificial Intelligence and Machine Learning can gain access to university studies (Studium) even without a general higher education entrance qualification, and for example, acquire a Bachelor's degree in Artificial Intelligence. Starting one's own business is also possible, for instance, with a consulting company for digital transformation.

For the examination, the responsible Chambers of Industry and Commerce (IHK) issue examination regulations. An example of such a regulation is the 'Special Legal Provisions for the Advanced Training Examination to become a Bachelor Professional in Artificial Intelligence and Machine Learning (IHK Region Stuttgart)' from November 16, 2022 (IHK Region Stuttgart). An overview of the responsible Chambers of Industry and Commerce can be found in the regulations of the competent bodies for professional advanced training for the Bachelor Professional in Artificial Intelligence and Machine Learning (IHK).

The prerequisite for admission to the advanced training examination is usually: a final examination in a recognized vocational training (Ausbildung) occupation of at least 3 years in a commercial-technical or commercial field; or a qualification in a 2-year recognized vocational training occupation in a commercial-technical or commercial field and at least 1 year of relevant professional experience; or at least 90 credit points in a university study (Studium) program and at least 6 months of professional experience; or at least 4 years of relevant professional experience; or the qualification as a Certified Professional Specialist for Artificial Intelligence and Machine Learning. A validation procedure allows for the proof of professional knowledge and skills if a corresponding educational qualification is missing.