AI100: AI Officer (DEKRA™ KIB)

Agenda:

1. Introduction to Artificial Intelligence (AI)

• AI fundamentals: What is AI, machine learning, deep learning and their use cases
• Technical aspects: How do AI systems work? Key concepts and technologies such as neural networks, NLP and computer vision
• AI trends and applications: Current and future developments in AI

2. AI opportunities in enterprise

• Strategic AI implementation: How can enterprises strategically introduce and successfully deploy AI?
• Building AI teams and roles: Which team structures are necessary? The role of the AI officer in the enterprise
• Change management and training: How to handle the introduction of new AI technologies and how to train employees?

3. Risk management in AI

• Risk management frameworks for AI: Identification and minimization of risks through AI deployment
• Security and protection aspects of AI systems: IT security and cybersecurity in connection with AI
• Testing and certification of AI systems: Handling audits and certifications of AI products and processes
• Necessity of transparency: How and why AI systems must be made transparent

4. Legal requirements and the EU AI Act

• Overview of the EU AI Act: Requirements, risk classification and obligations for enterprises
• Data protection aspects of AI: General Data Protection Regulation (GDPR) and its relevance for AI
• Beyond GDPR and AI Act: Which regulations should be considered?
• Ethical considerations: Handling ethical issues in AI usage

5. Enterprise AI governance and compliance

• Governance models for AI: How to develop an AI governance structure?
• Responsibility of the AI officer: The core tasks of the AI officer, compliance monitoring and reporting
• External audits and assessments: Collaboration with external auditing bodies, authorities and preparation for audits

6. Practice-oriented case studies and scenarios

• Case study analysis: Examination of real application examples from various industries
• Risk analysis and best practices: Conducting risk analyses for AI projects
• Practical exercises: Development of solutions for typical challenges in AI implementation

Summary of learning outcomes

Exam preparation

Feedback session

Objectives:

• AI competency according to AI Regulation Art. 4
• Develop strategic understanding for AI deployment – comprehensive insights into technologies, trends and deployment potential for targeted AI utilization within own area of responsibility
• Build competency in establishing AI-capable structures – knowledge about team-related, organizational and process prerequisites for successful AI implementation.
• Early identification and management of AI technology risks – delivery of methods for risk identification, assessment and mitigation in project and enterprise context.
• Understand and control security and compliance of AI systems – overview of technical and organizational protection measures as well as legal requirements (EU AI Act, GDPR).
• Establish governance structures for AI deployment – setup of roles, responsibilities and reporting lines for sustainable AI compliance and auditability.
• Ensure practical relevance through case studies and exercises – transfer of learned content to realistic scenarios and challenges from enterprise operations.
• Strengthen interdisciplinary collaboration – promotion of interface competency between IT, legal, compliance, business units and executive management in AI context.

 

Target audience:

• Executives and managers with technical background

• Innovation and technology development managers

• Roles supporting strategic AI implementation in the enterprise

• Project managers in IT and digital transformation

Prerequisites:

• Basic knowledge in computer science

• Advanced knowledge of digital technologies

• Experience with project management and technical solution development

• Understanding of business processes and strategic enterprise management

Description:

In today's digital transformation, Artificial Intelligence (AI) and its strategic implementation play a crucial role for enterprise success. The three-day course AI100 AI Officer (DEKRA™ KIB) targets executives with technical background and provides the necessary knowledge and competencies to act effectively as AI Officer.

Participants learn to plan, implement AI projects and control their impact on business processes. Additionally, ethical, legal and strategic aspects of AI utilization are covered to foster a holistic perspective. Topics such as EU AI Act, AI Security, AI Governance and data protection in AI applications are also addressed, without losing focus on practical implementation and strategic planning.

The course concludes with a DEKRA™ Certification after passing the examination.

The course combines theoretical inputs with hands-on exercises, workshops and case studies. Interactive discussions and experience exchange promote understanding and application of the delivered content in the respective enterprise context. After successful completion of the course, participants receive a certificate that documents their qualification as AI Officer in the enterprise.

This course provides you with all skills to successfully control the strategic introduction of AI in your enterprise and optimally leverage the opportunities of digital transformation.

The course concludes with a DEKRA™ Certification after passing the examination.

Other Info:

The DEKRA™ certification exam is conducted fully online. For participation in the online exam, each participant requires their own notebook. The exam can be taken following the course; the exact exam period will be communicated after schedule confirmation.