AI in Marketing

Course overview

Objective The training program imparts knowledge and methods for applying Artificial Intelligence (AI) in market analysis and everyday work. The focus is on the practical application of AI tools to increase efficiency and generate actionable recommendations. Content The content is divided into two main areas: Marketing: Market Analysis with AI Basics and benefits of market analysis Components of modern market analysis: data, sources, and AI Marketing-relevant analysis fields Analysis of demand and dynamics: trends, seasonality, and signals Competitive analysis: offers, messages, and channels Understanding target group data, patterns, and access points Differentiation of market segments: attractiveness, potential, and focus Development of personas: goals, barriers, and triggers Outlining the customer journey: phases, touchpoints, and friction points Condensing insights from large data sets into actionable recommendations Preparation and visualization of analysis results Outlook on future trends in market analysis AI in Everyday Work Introduction to AI in everyday work Basics of Artificial Intelligence Technological concepts and application architectures Data as the basis of AI: data quality and management Legal framework and the AI Act Application possibilities of AI in everyday work Overview of AI tools and software solutions Support for project management through AI Change management and organizational change through AI Strategies for implementing AI projects Risks, challenges, and ethical aspects of dealing with AI Future trends and continuous development in the field of AI Learning Objectives Conducting market analyses using AI-supported tools. Identifying trends, competitive activities, and target group patterns. Deriving concrete actionable recommendations for marketing strategies. Applying AI tools to optimize workflows. Understanding the technological and legal foundations of AI. Developing strategies for implementing AI in the workplace. Assessing risks and ethical issues related to AI. Career Prospects The acquired competencies are applicable in various professional fields, particularly in marketing, market research, product management, project management, and IT. Activities include analyzing market data, developing marketing strategies, optimizing workflows through the use of AI, and implementing and managing AI solutions.

Upcoming dates

• 2026-10-11T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Berlin · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-10-11T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Freiburg im Breisgau · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Dortmund · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Eschborn, Taunus · Combined Learning