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 Coordinators; 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.
The following typical tasks from the daily work of Project Coordinators serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Meeting cadences
- Action logs
- Status reports
- Backlog upkeep
- Scheduling
Content
- Introduction to AI in Marketing
- Fundamentals of Data-Driven Decision-Making
- Target Audience Segmentation with AI
- Customer Journey and AI-Supported Approaches
- Overview of AI Tools and Technologies in Marketing
- Content Planning and Personalization through AI
- Social Media Marketing and AI
- Campaign Planning with AI Support
- Performance Marketing and AI Analysis
- Conversion Optimization using Artificial Intelligence
- Ethics, Data Protection, and Legal Aspects in AI Marketing
- Development of an AI-Based Marketing Strategy
- Performance Measurement and KPIs in AI Marketing
- Future Trends and Innovations in AI Marketing
Learning Objectives
- Understand the role and application of AI in marketing.
- Apply principles of data-driven decision-making.
- Implement AI for effective target audience segmentation.
- Utilize AI to optimize customer journeys.
- Identify and evaluate relevant AI tools and technologies.
- Develop AI-driven content strategies.
- Enhance social media marketing efforts with AI.
- Plan and execute AI-supported marketing campaigns.
- Analyze marketing performance using AI.
- Improve conversion rates through AI applications.
- Address ethical, data protection, and legal considerations.
- Formulate and implement AI-based marketing strategies.
- Measure campaign success using appropriate KPIs.
- Recognize and adapt to future trends in AI marketing.
Agile Leadership: Leading in an Agile Work Environment
Content
- The necessity of agile leadership
- Definition and principles of agile leadership
- Leading with metrics
- Liquidity planning for agile leaders
- Agile methods, tools, and instruments
- Risk management in agile contexts
Learning Objectives
- Comprehend the rationale behind agile leadership.
- Define and understand the core concepts of agile leadership.
- Apply metrics to guide agile teams.
- Implement liquidity planning strategies for agile environments.
- Utilize various agile methods and tools.
- Manage risks effectively within agile projects.
Career Prospects
This program is designed for professionals seeking to enhance their marketing strategies with AI and develop their leadership capabilities in agile settings. Potential career paths include roles in marketing management, digital marketing, project management, team leadership, and strategic consulting, particularly within organizations embracing data-driven approaches and agile methodologies.