Artificial Intelligence: AI Consultant - AI Officer and AI Manager

Course overview

In this course, you will learn how to implement AI safely, legally, and strategically within a company. From professional prompting to data protection, governance, and risk management, as well as project and change management, you will build practical know-how. Additionally, you will engage with compliance and AI compliance, the EU AI Act, and ISO/IEC 42001. As an AI Manager, you will also deepen your understanding of the strategic use, organizational development, and sustainable integration of AI. Practical projects will complete your qualification. Artificial Intelligence: AI Officer with TÜV Rheinland certified qualification Artificial Intelligence: Role of AI Officers in the compliance context Introduction to professional communication with Artificial Intelligence: Basics, strategies, and types of prompting, key components for effective prompting, building an internal prompt library Artificial Intelligence - Legal Basics: Relevant laws and regulations (e.g., GDPR, AI Act, product liability, copyright) Deepening: EU AI Act Artificial Intelligence - Management Systems and Standards: Overview of ISO/IEC 42001, importance of AI management systems (AIMS), integration into existing management systems (e.g., ISO 9001, ISO 27001), compliance strategies, governance frameworks Artificial Intelligence - Risk Management, Data Protection, and Ethics: Types of risks (bias, errors, ethical risks), strategic risk assessment, risk matrix, excursion: risks of AI agents, action planning, data protection and data security in AI systems, data ethics and transparency requirements Quality Assurance in AI Projects: Quality assurance and acceptance processes, stakeholder analysis, communication strategies, training concepts for employees Artificial Intelligence - Data Management: Basics of data quality, principles of data integrity, building data management structures Artificial Intelligence - Change Management: Dealing with resistance in AI implementations, training concepts for employees, developing a change management plan, excursion: strategic AI roadmap Project work, certification preparation, and certification exam "AI Officer with TÜV Rheinland certified qualification" Artificial Intelligence: AI Manager with TÜV Rheinland certified qualification Artificial Intelligence: Basics of operational AI projects (ISO 42001) Artificial Intelligence: Data management and tool usage: Prompting, MLOps concepts, automation possibilities Artificial Intelligence: Model training, validation, and deployment: Black-box, white-box, unit tests, monitoring, iterative optimization, AI agents Artificial Intelligence: Risk management and quality assurance: Bias metrics, fairness tests, model error analysis, KPIs, ISO 42001 Artificial Intelligence: Operational project management and agile methods: Scrum, Kanban, iterative deployment cycles, resource and budget planning, team and stakeholder communication, continuous improvement Artificial Intelligence: Organizational development, gove…

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Aachen · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Albstadt, Württemberg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Aschaffenburg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Karlsruhe, Baden · Combined Learning