AI and Automation: Master's Course

Course overview

Course Objective The training program provides comprehensive knowledge in the field of Artificial Intelligence (AI) and its application in the automation of work processes. It focuses on understanding and implementing AI technologies to increase efficiency and promote innovations. Content The content is divided into two main courses. Course: AI and Automation* Fundamentals and history of AI and automation Introduction to key technologies and terms of AI Practical application of automation tools, e.g., Make.com Creation and management of automated workflows, including troubleshooting and reporting Importance of data for AI systems Implementation of AI solutions in a business context Deep dive into Large Language Models (LLMs) and their use in process automation Analysis of case studies and best practices Final thesis to apply the acquired knowledge Outlook on future trends in AI and automation Course: AI Master* Deep dive into advanced AI technologies and their application Fundamentals of classical machine learning, neural networks, and deep learning Understanding and application of generative AI Strategies for selecting and implementing suitable AI solutions Development of AI-first strategies and AI-supported process optimization Configuration of AI assistants and agent systems Integration of AI into existing processes Application examples such as strategic AI marketing Cybersecurity in the context of AI systems Ethical, legal, and responsible aspects of AI development Practical project for developing your own AI system Final presentation and discussion of further perspectives Learning Objectives Understanding the technological foundations of AI and automation Ability to design and implement AI-supported automation solutions Knowledge of relevant AI technologies, including generative AI and LLMs Competence in strategic planning and implementation of AI projects Awareness of ethical and security-related aspects in dealing with AI Application of AI for process optimization and development of new use cases Career Prospects The acquired skills are relevant for activities in areas such as IT project management, software development, data analysis, process management, and strategic IT planning. The training qualifies for the design, implementation, and management of AI applications as well as for the development and implementation of AI strategies in companies.

Upcoming dates

• 2026-12-20T23:00:00.000Z · 2027-04-08T22:00:00.000Z · Berlin · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-04-08T22:00:00.000Z · Bremen · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-04-08T22:00:00.000Z · Bielefeld · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-04-08T22:00:00.000Z · Dortmund · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Bremen · Combined Learning