Applied Generative Artificial intelligence

Expand your knowledge in the exciting and rapidly developing field of artificial intelligence. Our academic-level certificate course will give you unique insights and teach you how to successfully apply the latest developments and technologies. Register now!

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Overview

Location:

Kufstein
Duration:

6 days (within several weeks or 1-week block)
Language:
100% German
Academic Program:

Part-time
Certificate:

Certified Expert in Applied Generative Artificial Intelligence, 8 ECTS credits
Price:
Euro 4.800,-
Start:

ongoing

Course with creditable micro-credentials (MC)

PROFILE OF THE COURSE

Participants will be able to understand and apply the various generative models as well as large language models such as ChatGPT, Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). The latest developments and AI tools are just as much a focus of the course as the ethical issues surrounding the use of AI. A basic module and three different elective modules provide the freedom to specialize in marketing, programming or business processes.

The aim of the course is to provide participants with a comprehensive understanding of generative AI in order to fully exploit the potential of this new technology and develop innovative solutions.

HANDS-ON QUALITY

The balanced combination of practical application and theoretical concepts is a central element of the course. The integrated project work gives participants the opportunity to work on real use cases and use generative AI models in different application contexts.

WHY ARTIFICIAL INTELLIGENCE?

The economy needs rapid access to new knowledge, as generative artificial intelligence is a source of innovation. The ability to generate creative content such as images, text and music opens up a wide range of new possibilities, for example for generating marketing activities or optimizing business processes or automatic code generation in software development.

The growing demand for personalized and unique products will increasingly lead to new, innovative solutions through the use of AI tools. AI tools and methods support the economy in gaining competitive advantages, improving customer experiences and opening up new business areas. At a time when technological progress is setting the tone, this course will empower those who are actively shaping the future of business.

Benefits

Gain in-depth knowledge of the fundamentals of generative AI and its application areas
Deepen your practical skills with AI models and tools, e.g. by training artificial intelligence agents (AI)
Choose from three specializations based on your area of application
Strong practical focus through project work that enhances AI application skills
Apply generative AI directly in content creation, software code generation, or process management

Benefits for your Company

Practical training and innovative course content tailored to the needs of industry and business
Exploit new opportunities for innovation and competitiveness through AI integration
Implement generative AI directly in business processes, marketing, or programming
Achieve greater efficiency and effectiveness through AI-driven solutions
Work with AI based on your own company data

Program

COMPULSORY MODULE 1: BASICS OF GENERATIVE KI (5 ECTS)

Basics of Generative AI

Course participants will be introduced to the world of generative models, which enable computers to generate data that looks similar to human creations. The focus is on teaching concepts, techniques and tools to develop a fundamental understanding of this emerging technology.

- Overview of Generative AI and its application areas
- Introduction to Large Language Models (LLM)
- Introduction to machine learning and neural networks
- Explanation of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
- How GANs work: generator and discriminator
- Application of generative AI models in image and text generation
- Introduction to prompt engineering

Ethics and AI

- Ethical considerations when dealing with generative models
- fake news and its effects

OPTIONAL ELECTIVE MODULES (3 ECTS EACH)

Elective module 1: Generative AI in marketing and communication

Course participants will be introduced to the world of generative models and learn how these innovative technologies can be used to improve marketing strategies and communication approaches.
Generative AI in marketing: exploring the wide range of possible applications including the generation of personalized content e.g. ads, product designs, ...
Text generation and content creation: exploring Generative AI in copywriting, messaging and content marketing to create targeted and engaging content.
Image Generation and Design: Analyzing how Generative AI can be used in image generation and design to create visually appealing materials for marketing campaigns.
Creativity and innovation: exploring how Generative AI can drive creative innovation in marketing by generating new ideas, trends and concepts.

Elective module 2: Generative programming

The course teaches students the art of automated code generation and the use of templates to speed up software development. Course participants are introduced to the world of generative programming, where they learn techniques, tools and best practices to efficiently manage recurring tasks.

Basics of generative programming: concept of code generation and automation. Use of templates to generate code.
Possible applications of generative AI in the software life cycle environment: modeling, implementation, testing.
Tools for generative programming: Presentation of LLM (Large Language Model)-based tool bases for code generation.
Generative design patterns: Identification of recurring patterns in generative programming. Development and application of generative design patterns.
Performance and quality assurance: Effects of generative programming on the performance and quality of the generated code. Methods for evaluating and optimizing generated code.

Elective module 3: Generative AI in the business process

Course participants will learn how generative models can increase efficiency and innovation in companies, from information research to customer interaction.

Business process automation: exploring how generative AI can be used to automate routine tasks and processes in organizations.
Customer interaction and personalization: Use of generative AI to improve customer interaction and personalize offers and services.
Forecasting and analytics: Use of generative AI to predict trends, customer behavior and future market developments.

DATES COMPULSORY MODULE

Dates Basics of Generative AI

Day 1: Friday, 19.09.2025, 09:00 - 17:30
Day 2: Saturday, 20.09.2025, 09:00 - 17:30
Day 3: Friday, 26.09.2025, 09:00 - 17:30

Dates Ethics & AI

Day 4: Saturday, 27.09.2025, 09:00 - 12:15
Day 4: Saturday, 27.09.2025, 13:15 - 16:05
On-site examination: Friday, 17.10.2025 08:00 - 09:00, Paper based

DATES OPTIONAL MODULES

Elective module: Generative Programming

Day 5: Friday, 17.10.2025, 09:00 -18:30
Day 6: Saturday, 18.10.2025, 09:00 -18:30

Elective module: Generative AI in the business process

Day 5: Friday, 17.10.2025, 09:00 - 18:30
Day 6: Saturday, 18.10.2025, 09:00 -18:30

Elective module: Generative AI in Marketing and Communication

Day 5: Friday, 17.10.2025, 09:00 - 18:30
Day 6: Saturday, 18.10.2025, 09:00 -18:30
Project including presentation: December 2025

Target Group

The course is aimed at professionals and individuals with an interest in artificial intelligence, data science, machine learning, creative fields and related areas. Previous knowledge of machine learning is an advantage, but not essential. The certificate course offered is aimed at practitioners. In the modules, the technical and creative knowledge relevant to the application of generative AI models and applications is taught in a practice-oriented manner.

CEO Managing Directors
Marketingexperts
Content Creators
Software-Developer
Chief AI Officer
Software Architects

Prerequisites

At least one year of relevant professional experience in a business or technical environment (e.g. marketing, company management, project management, etc.) or
Completion of a business or technical degree at a university

Certificate

The course concludes with a written final exam and an oral exam in the individual modules. The oral examination relates to an applied project including a presentation of the scientific content developed, which is carried out individually or in a group.