Program Objectives

This training program is open to anyone interested in expanding their professional skills. The practical examples and exercises are chosen so they map well to the daily work of Project Managers; participation is expressly open to everyone, regardless of current professional role. The course teaches methods, tools, and content that can be applied in many different work contexts.

Practical Application for Project Managers

The following typical tasks from the daily work of Project Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:

  • Risk logs
  • Stakeholder roundups
  • Roadmap reviews
  • Lessons-learned
  • Closing reports
Course 1: Marketing: Market Analysis with AI
Content
  • Introduction to market analysis: Fundamentals and benefits.
  • Components of modern market analysis: Data, sources, and AI.
  • Marketing-relevant analysis fields: Overview and classification.
  • Demand and dynamics: Reading trends, seasonality, and signals.
  • Competition: Analyzing offerings, messaging, and channels.
  • Target groups: Understanding data, patterns, and access points.
  • Defining segments: Attractiveness, potential, and focus.
  • Developing personas: Goals, barriers, and triggers.
  • Sketching the customer journey: Phases, touchpoints, and friction points.
  • Consolidating insights: From large datasets to clear recommendations.
  • Reporting and visualization: Preparing and presenting results effectively.
  • Future outlook: Trends and next steps.

Learning Objectives
  • Understand the fundamentals and benefits of market analysis.
  • Identify key data sources and AI tools for market research.
  • Analyze demand, market dynamics, and competitive landscapes.
  • Develop detailed target group profiles and customer personas.
  • Map and analyze customer journeys.
  • Translate data insights into actionable marketing strategies.
  • Effectively present analysis findings.

Career Prospects

The skills acquired in this course are applicable in roles such as market research analysts, marketing managers, data analysts, and strategic planners. Participants will be prepared to contribute to data-driven decision-making processes within marketing departments and agencies.

Course 2: AI in the Everyday Workplace
Content
  • Introduction to AI in the workplace.
  • Fundamentals of Artificial Intelligence.
  • Technological concepts and application architectures.
  • Data as the foundation of AI: Data quality and management.
  • Legal frameworks and the AI Act.
  • Application possibilities of AI in daily work.
  • Overview of AI tools and software solutions.
  • Supporting project management with AI.
  • Change management and organizational transformation through AI.
  • Implementation strategies for AI projects.
  • Risks, challenges, and ethical considerations.
  • Future trends and continuous development in AI.

Learning Objectives
  • Comprehend the foundational principles of Artificial Intelligence.
  • Identify and evaluate various AI tools and their applications.
  • Understand the legal and ethical implications of AI implementation.
  • Apply AI to enhance project management and daily tasks.
  • Contribute to the strategic implementation of AI within an organization.
  • Analyze the impact of AI on organizational change and development.

Career Prospects

This course is relevant for professionals across various industries seeking to integrate AI into their work. Potential roles include AI project managers, business process analysts, IT consultants, and change managers. It prepares individuals to adapt to and drive technological advancements in the workplace.