This comprehensive training program equips participants with the knowledge and skills to effectively integrate and leverage Artificial Intelligence (AI) within project management and advanced AI development contexts. The program is divided into two core courses: "AI for Project Managers" and "AI Master."
Course 1: AI for Project ManagersProgram 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 Office Clerks (f); 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 Office Clerks (f) serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Email inbox management
- Outlook calendars
- Document templates
- Travel expense reports
- Order workflows
- 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, including communication, leadership, and change management
- Excursions into project management and 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 within project workflows.
- Address ethical, legal, and data protection considerations in AI projects.
- Enhance soft skills crucial for leading and managing AI-driven projects.
Course 2: AI Master
Content
- Introduction to AI Master and Artificial Intelligence
- Fundamentals of classical Machine Learning
- Introduction to Neural Networks and Deep Learning
- Fundamentals and functionality of Generative AI
- Selecting appropriate AI for specific tasks
- Developing comprehensive AI-First strategies
- Planning and implementing AI-supported process optimization
- Cyber Security in the context of AI systems
- Configuration of AI assistants and agent systems
- AI implementation into existing processes
- Strategic AI marketing as an application example
- Practical project: Prototyping an AI system (e.g., an AI marketing system)
- Ethics, law, and responsibility in AI development
- Industry specifics and recommended supplementary knowledge
- Concluding presentation and further perspectives
Learning Objectives
- Comprehend the principles of classical Machine Learning, Neural Networks, and Deep Learning.
- Understand the architecture and application of Generative AI.
- Design and implement AI-First strategies for business processes.
- Integrate AI systems into existing organizational structures.
- Develop prototypes of AI systems.
- Analyze and apply ethical, legal, and security considerations in AI development.
Career Prospects
This training program prepares participants for roles in IT project management, software development, data analysis, AI consulting, and the management and implementation of AI applications. Graduates will be equipped to lead AI initiatives, develop AI-driven solutions, and manage the integration of AI technologies across various business functions.