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 Social Media 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 Social Media Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Reels scripts
- Community replies
- Hashtag strategies
- Storyboards
- Influencer briefings
Content
- Introduction to Artificial Intelligence (AI)
- AI applications in project management
- Foundation Models and Open Source AI Tools
- AI in daily project work
- Implementation of AI projects
- Ethics, data protection, and legal frameworks for AI
- Evaluation of AI solutions
- Soft skills for AI projects: Communication and Leadership
- Soft skills for AI projects: Change Management
- Final assignment and resource collection
- Excursion: Project Management
- Additional topic: Working with ChatGPT
- Legal frameworks for AI usage
Learning Objectives
- Understand fundamental AI concepts and their relevance to project management.
- Identify and apply AI tools and techniques to enhance project decision-making.
- Develop strategies for implementing AI solutions within project environments.
- Recognize and address ethical, data protection, and legal aspects of AI.
- Enhance soft skills crucial for leading AI-driven projects.
Course 2: AI and Automation
Content
- Introduction to AI and Automation
- History and development of AI
- The automation project
- Basic concepts and key technologies
- Make.com Foundations
- Automation Basics: Data Management
- Documenting workflows, troubleshooting, and automating reports
- Excursion: Data as the foundation of AI systems
- Practical implementation of AI solutions
- Excursion: Large Language Models (LLMs)
- AI in process automation
- Case studies and best practices
- Final thesis
- Future trends and innovations in AI and Automation
Learning Objectives
- Grasp the principles of AI and automation and their interrelation.
- Identify opportunities for automation within business processes.
- Gain practical experience with automation tools and platforms.
- Understand the role of data in AI and automation systems.
- Analyze case studies and apply best practices for AI-driven automation.
Career Prospects
The competencies acquired in this program are applicable in various professional roles, including project management, IT consulting, process optimization, and roles focused on the implementation and management of AI and automation solutions. Participants will be prepared for tasks involving the strategic integration of AI into project lifecycles and operational workflows.