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.
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
- Introduction to Ethics and Law in Artificial Intelligence
- Overview of the EU AI Act
- Transparency and Explainability of AI Systems
- Data Protection and Data Security in Artificial Intelligence
- Algorithmic Fairness and Freedom from Discrimination
- Ethical Principles in Artificial Intelligence
- Governance and Compliance in AI
- International Perspectives and Comparisons
Learning Objectives
- Understanding the ethical and legal implications of AI.
- Familiarity with the EU AI Act and its requirements.
- Ability to assess transparency and explainability in AI systems.
- Knowledge of data protection and security measures in AI.
- Skills in identifying and mitigating algorithmic bias.
- Application of ethical principles in AI development and deployment.
- Understanding AI governance and compliance frameworks.
- Analysis of international AI regulations and ethical standards.
Marketing: Social Media with AI
Content
- Social Media in the Age of AI: Introduction and Relevance
- Understanding and Utilizing Platforms: Instagram, TikTok, LinkedIn, and more
- Trend Radar & Social Listening: Identifying Signals and Deriving Trends
- Topics and Timing: From Signals to Structure
- Content Formats for Social Media: Variations, Adaptation, and Tools
- Social Storytelling: Posts as Series and Narratives
- Publishing and Automation: Timing, Testing, and Workflows
- Engagement and Community: Understanding and Fostering Interactions
- Reach and Growth: Organic vs. Paid Synergy
- Paid Social & AI: Targeting, Creatives, and Budgets
- Measuring and Optimizing Performance: KPIs, Dashboards, and Experiments
- The Future of Social Media & AI: Platforms, Creators, and Algorithms
Learning Objectives
- Understanding the role of AI in modern social media marketing.
- Proficiency in using various social media platforms effectively.
- Ability to identify trends and insights through social listening.
- Skills in developing and structuring social media content.
- Creation of diverse and engaging content formats.
- Application of storytelling techniques in social media.
- Implementation of efficient publishing and automation strategies.
- Strategies for building and managing online communities.
- Optimization of organic and paid social media campaigns.
- Proficiency in AI-driven targeting and creative optimization for paid social.
- Ability to measure and analyze social media performance.
- Understanding future developments in social media and AI.
Career Prospects
The competencies acquired in these courses are applicable in professional fields related to artificial intelligence, ethics, law, marketing, and social media management. Typical roles include AI ethics consultants, legal advisors for AI, social media strategists, AI marketing specialists, and community managers. The training equips individuals for positions involving the responsible development, implementation, and management of AI technologies and their application in marketing and communication.