AI managers plan, manage and implement AI projects in a company, implement change management processes and drive digital transformation through the use of artificial intelligence. The course introduces you to the specialist area and teaches you the various AI applications and tools for targeted implementation. You will also become familiar with strategy development, budget and resource planning as well as the continuous monitoring, performance measurement and optimization of such projects. Knowledge of data protection-compliant and ethically correct implementation rounds off the course. In addition, you will acquire important basic knowledge of current data protection law and learn about technical and organizational data protection measures using practical examples.
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Certificates: Certificate "AI Manager with TÜV Rheinland certified qualification"
Certificate "Data protection officer with TÜV Rheinland-certified qualification" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Manager:in mit TÜV Rheinland geprüfter Qualifikation
Datenschutzbeauftragte:r mit TÜV Rheinland geprüfter Qualifikation -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 8 Weeks
Artificial intelligence: AI manager with TÜV Rheinland-certified qualification
Fundamentals of operational AI projects (approx. 5 days)
Introduction to AI, ML, DL, NLP and computer vision (operational focus)
Roles and tasks: Setting up, operating and reviewing the effectiveness of the management system in accordance with ISO 42001
Role delineation and collaboration: AI officer, AI manager and AI auditor
Identification and evaluation of operational use cases in the company
Project initiation: target definition, scope, feasibility analysis
Stakeholder management
Value creation and ROI through AI
Successful AI initiatives in management
Data management and use of tools (approx. 3 days)
Data preparation, quality and integration
Selection and implementation of AI tools and platforms
Practical prompting for text, image and video applications
Building simple data pipelines
Introduction to MLOps concepts
AI automation options in operation
Model training, validation and use (approx. 2 days)
Training and validation of models
Test procedures: Black box, white box, unit tests
Use of models
Monitoring and iterative optimization
Integration of AI agents in projects
Risk management and quality assurance (approx. 2 days)
Technical risk analysis: bias metrics, fairness tests, model error analysis
Quality assurance: KPIs, monitoring, acceptance processes
Management system according to ISO 42001
Security and explainability of AI systems
Operational project management and agile methods (approx. 2 days)
Agile methods: Scrum, Kanban, iterative deployment cycles
Resource and budget planning
Team and stakeholder communication
Ongoing optimization and problem-solving strategies (CIP)
Cooperation with external partners
Organizational development, governance and change management (approx. 3 days)
Analysis of business processes
Maturity level analysis, GAP analysis
Creation of an AI roadmap
AI governance and strategy development
Development of a sustainable organizational structure
Responsibilities
Practical handling of resistance in AI operations
Sustainability and corporate digital responsibility (CDR)
Project work, certification preparation and certification exam "AI Manager with TÜV Rheinland certified qualification" (approx. 3 days)
Data protection officer with TÜV Rheinland-certified qualification
Data protection in the company - basics (approx. 1 day)
History of data protection and objectives
Structure of the European General Data Protection Regulation
The Federal Data Protection Act - subject matter and objectives
GAP analysis between BDSG and GDPR
Material and geographical areas of application
Definitions of terms
Principles (approx. 1 day)
Principles for the processing of personal data
Legitimate interests
Consent
Transparency requirement
Duty to inform
Special categories of personal data
Rights of data subjects (approx. 1 day)
Rights of data subjects
Right to information
Rectification and erasure
Right to object
Right to data portability
Profiling and direct marketing
Right to lodge a complaint
Restrictions
Responsible persons and processors (approx. 2 days)
Risk analysis and TOM
Privacy by design & default
Order processing
Joint controllers
Register of processing activities (VVT)
Security of processing
Entry, access and access controls
Data protection impact assessment (DPIA)
Data protection officer (appointment, position, tasks)
Code of Conduct
Certification: pre-audit, main audit, post-audit
Other bodies with a data protection function (approx. 0.5 days)
The role of the works council (co-determination)
The DPO and the works council
Basics of social data protection
Basics of employee data protection
Personnel file, data access and information rights
Artificial intelligence (AI) and data protection (approx. 0.5 days)
Presentation of specific AI technologies
and possible applications in the professional environment
Risks and opportunities when using AI, especially in connection with pbD
Transfer of personal data (approx. 2 days)
General principles of natural transfers
Data transfers to third countries
Standard contractual clauses
Supervisory authorities
Responsibilities, tasks, powers
Legal remedies, liability and sanctions (approx. 1 day)
Legal remedies
Liability, fines, sanctions
Special processing situations
Final provisions
Federal Data Protection Act (approx. 1 day)
Scope of application, video surveillance of public areas
Exceptions to the rights of data subjects
DPOs of public and non-public bodies
LDAs, fine regulations, sanctions
IT security and data protection (approx. 3 days)
Network components, storage components (RAID)
Basics of access management
IT security basics
IT baseline protection standards
Risk factors
Improvement options
Further areas of responsibility (approx. 3 days)
Development and operation of a data protection management system and SDM
Deletion concept
Backup concept
The legal framework of outsourcing from a data protection perspective
Data protection in the area of marketing and advertising measures
Telecommunications Digital Services Data Protection Act (approx. 1 day)
Structure and contents of the TDDDG
Project work, certification preparation and certification exam "Data Protection Officer with TÜV Rheinland certified qualification" (approx. 3 days)
Changes are possible, the course content is updated regularly.
After the course, you will be able to plan and implement AI-supported transformation projects in line with standards and anchor them sustainably in your company. You will be able to maximize the economic benefits, value creation and ROI of AI initiatives, take risks and compliance requirements into account and establish a sustainable organizational structure, governance and change management strategies for the successful use of AI.
You will also be prepared for the tasks of a data protection officer. You will have the necessary knowledge based on the current EU GDPR for legally compliant handling of personal data, knowledge in the area of data protection organization and IT security.
This course is aimed at specialists, managers and project managers from all areas of the company who are involved in digitally networked, global work structures and want to use AI technologies to make processes and decisions more efficient.
Specialists and managers who want to drive their companies forward in the digital transformation and can use AI as a tool to improve efficiency, decision-making and innovation in companies are in demand in all sectors.
Persons with additional qualifications as data protection officers act as a link between management, the works council, supervisory authorities and employees.
You prove your newly acquired knowledge with a TÜV Rheinland-certified qualification.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).