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AI certification
Certified AI Advisor
As a “Certified AI Advisor”, you combine in-depth knowledge of AI with practical consultancy skills and provide strategic support to companies during the introduction and implementation of AI, acting as a key link between technology and practice.
Registration
- German
- face-to-face
- 9 , 360 €
- Next start: 24.09.2026
- 8 Präsenztage & 4 Onlinesessions
- Campus Rheingau
How to turn AI into a key success factor:
The certificate programme is specifically aimed at consultants – whether working in-house at companies or from consultancy firms – who wish to provide support and advice on the introduction, evaluation and implementation of solutions utilising artificial intelligence.
In addition to providing a comprehensive grounding in the applications, potential and strategies of AI, the programme teaches classic consultancy skills that are essential for successful client support. These include skills in the areas of needs analysis, concept development, presentation techniques, negotiation and facilitation, as well as dealing with resistance and change processes.
Concept in Detail
Participants will gain a sound insight into the technical fundamentals of artificial intelligence, as well as an in-depth understanding of key concepts such as machine learning, data processing and algorithms. The focus is not on purely technical training, but on building up a level of knowledge that enables qualified and targeted communication with subject matter experts and forms the basis for well-informed advisory decisions.
In addition, the ethical, legal and organisational frameworks governing the use of AI are examined in detail. Particular attention is paid to the implementation of the requirements of the European AI Act, the opportunities and challenges of regulated AI applications, and their impact on business processes. Participants are thus optimally prepared to support responsible, compliant and strategically sound AI projects in a variety of organisational contexts.
The options that follow
With the “Certified AI Advisor (EBS)” qualification, you will open up excellent career prospects in an increasingly data- and technology-driven economy. As a sought-after expert, you will provide professional support to companies in the planning and implementation of AI projects, contribute in-depth specialist and methodological knowledge, and shape the strategic use of artificial intelligence across a wide range of industries.
Who should take part?
- Managers and decision-makers at various levels within organisations who are seeking strategic direction or are responsible for consultancy processes.
- Consultants from internal departments and external consultancy firms who wish to further develop their methodological skills and impact.
- Individuals interested in a career in management consultancy who have previously worked in business, industry or public administration, perhaps with a view to applying their experience in a consultancy role in future or to reorienting their career.
Learning from the best
Prof. Dr. Tobias Gutmann
Prof. Dr Tobias Gutmann is a tenured Associate Professor of Technology and Innovation Management at EBS Business School, where he is co-director of the Institute for Technology, Innovation & Customer Centricity (TICC) and heads the Siemens Product Innovation Lab. His research focuses on innovation management in technology-driven transformations and lies at the intersection of entrepreneurship, strategic innovation and technology management.
With over ten years’ industry experience, he has supported executives at multinational companies and start-ups in designing and implementing innovation strategies that deliver long-term business impact. His professional career has included roles in business development, corporate strategy, innovation management and corporate venturing.
Univ.-Prof. Dr. Julia Krönung
Professor Julia Krönung has been Professor of Business Administration – specialising in the design of socio-technical information systems – at the FernUniversität in Hagen since August 2023, where she heads the BiGsI Chair. Her research focuses on the design of socio-technical and AI-based information systems, including digital inclusion, ethics in systems development and user behaviour in the field of e-government.
Dr.-Ing. Robert Jenke
Dr. Robert Jenke, Dr.-Ing., is Managing Director of Jenke Institut GmbH, a boutique consultancy specialising in digital process design and the strategic use of artificial intelligence in businesses. He was awarded his doctorate in 2015 from the Technical University of Munich and has since gained wide-ranging experience in consultancy projects, as a professor of business informatics and as an expert for the European Commission.
Marius Wussmann
Marius Wussmann is a partner and co-founder of Blackmint, a multi-award-winning management consultancy. As Senior Transformation and Delivery Lead, he successfully bridges the gap between AI innovation and the real world of business. With over 15 years’ experience in digital transformation and strategy consulting, including a role as a manager at Accenture Strategy & Consulting, he possesses in-depth expertise in the telecommunications, financial services, media and technology sectors. He supports companies from the conception to the implementation of scalable AI solutions, such as the roll-out of LLM-based agent-assist systems and NLP models in customer service.
Recognised by the Financial Times
The Financial Times has ranked the leading providers of executive education for 2026. EBS Universität's Executive School achieved an outstanding position nationally among open programmes. Among the criteria in which the Executive School particularly excelled were graduate satisfaction, programme design and faculty. The Financial Times Ranking confirms the excellence of the Executive School's programmes and underlines our commitment to enabling successful careers through further education.
Your roadmap to AI excellence: building expertise across nine modules
The curriculum of the certificate programme is both practical and strategically structured: the nine modules are interlinked, explore key topics in depth step by step, and systematically introduce you to the role of AI as a driver of business transformation. The programme focuses on both the technical and data-driven fundamentals and on strategic and organisational perspectives.
Next start date: 24 September 2026
A detailed list of dates will follow.
Module 01: Introduction to Digital Transformation and the Role of AI
Digital Transformation
What is digital transformation?
- Transformation at the intersection of ‘People & Organisation’, ‘Technology’, ‘Business Management’ and ‘Operations & Processes’
- Digital transformation and its impact on business models, processes and customer interactions
- Changes to value chains driven by digital technologies
- Overview of technological trends
AI and its role in digital transformation
- The significance of AI in digital transformation
- Definition and scope
The role of data
- Fundamentals of big data, data quality and data ethics
- Data quality, structure and transformation
Module 02: Introduction to the Fundamentals of Machine Learning
Fundamental concepts:
- Algorithms and models: supervised/unsupervised learning, neural networks, NLP, computer vision
- Generative AI and large language models (LLMs), how large language models work and their areas of application
- Natural language processing and typical use cases
- Image processing and typical use cases
- Trends and developments
Machine learning:
- Classification models
- Supervised and unsupervised learning
- Deep learning, neural networks and training processes
- Reinforcement learning
- AI tools and platforms
Module 03: IT Architectures, Infrastructure and Data in the Context of AI
Fundamentals:
- Introduction to IT Architectures
- IT Infrastructure Fundamentals
- Cloud Computing
- Enterprise Architecture Management in Practice
Building AI Solutions:
- Overview of available AI platforms, SaaS providers and alternative solutions
- Open-source & self-hosted alternatives
- Decision-making: Decision models & methods for ‘make or buy’
Module 04: Data Science for AI Consultants
- Fundamentals of Data Science
- Data Architecture and Preparation
- Exploratory Data Analysis (EDA)
- Data Warehouses, Data Lakes and Lakehouses
- Data Pipelines and Storage Options
- Data Governance & Compliance
Module 05: Ethical, legal and social aspects
- Standards and Regulations
- Bias, Fairness and Transparency
- Documenting Data and Models
- Responsibility and Liability in Automated Decision-Making
- Change Management: Promoting Acceptance and Trust in AI
Module 06: Areas of AI application in businesses
- Practical applications of AI in businesses
- Process design and management
- Use-case analysis methodology
- Examples from an industry perspective
- Examples from a business perspective
Approaches for:
- Marketing & Sales: Customer segmentation, chatbots, forecasting
- Production & Logistics: Predictive maintenance, optimisation
- Human Resources: Recruitment procedures, automated selection processes
- Administration & Controlling: Automated reporting, process analysis
Module 07: Strategy Development and Potential Analysis
- Prerequisites for developing AI solutions and long-term AI transformation
- Structured development of AI implementation strategies
- Innovation management and business design
- Business Model Canvas & AI Canvas
- Scenario planning and roadmap development
- Integration into existing business processes
- Identification of potential applications within the organisation
- Cost-benefit analysis and case for value
- Maturity models and quick checks for AI readiness
Module 08: Consultation and Negotiation Techniques
- Stages of a consultancy process
- Questioning techniques, active listening and conversation management
- Facilitation techniques for workshops and decision-making sessions
- Visualisation and presentation of complex content
- Managing conversations when faced with resistance
- Coaching approaches to supporting decision-making
- Stakeholder analysis and interest management
- Techniques for successful negotiation in innovation projects
Module 09: Project Management and Agile Methods
- Fundamentals of traditional and agile project management
- The use of Scrum, Kanban and Design Thinking
- Roles in AI projects
- Dealing with uncertainty and iterative processes
- Innovation methods
- Change management in small and large projects
Relevant for you
Relevant for you
I will be happy to help you
Dr. André Hollstein
Head of EBS Executive School