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 Bid 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 Bid Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Configuration logic
- Pricing libraries
- Margin calculations
- Quote schemas
- Bid reviews
This training program equips participants with the knowledge and skills to integrate Artificial Intelligence (AI) into project management practices and to navigate the complex landscape of AI compliance and governance. The program is divided into two core courses, "AI for Project Managers" and "AI Management: Compliance and Governance," offering a comprehensive understanding of both practical application and regulatory adherence.
Course 1: AI for Project ManagersThis course focuses on leveraging Artificial Intelligence to enhance project decision-making, making it more precise and effective.
- Content*
- Introduction to Artificial Intelligence (AI)
- AI applications within project management
- Foundation Models and Open-Source AI Tools
- AI in daily project operations
- 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 the fundamentals of Artificial Intelligence.
- Identify and apply AI tools and techniques relevant to project management.
- Develop strategies for implementing AI in project workflows.
- Recognize ethical considerations and legal requirements associated with AI.
- Enhance communication, leadership, and change management skills for AI-driven projects.
Course 2: AI Management: Compliance and Governance
This course aims to transform leadership understanding by enabling participants to strategically utilize regulatory AI standards as opportunities and effectively manage potential risks.
- Content*
- Introduction to AI Management: Compliance and Governance
- Fundamental understanding of AI governance and compliance
- Guiding principles for responsible AI deployment
- Regulatory requirements and standards in the AI context
- Risk analysis and management for AI systems
- Establishing a compliance management system for AI
- Governance structures for secure AI operation
- Data management and data security in AI environments
- Technical compliance controls for AI applications
- Management of suppliers and external partners in the AI context
- Automation and lifecycle management of AI systems
- Audits and internal controls for AI systems
- Qualification and competence building for responsible AI use
- Crisis management and emergency planning for AI incidents
- Sustainability and ecological responsibility in the AI domain
- Trends and future perspectives in AI compliance
- Excursion: Context Engineering - Context as a key factor for AI compliance
- Anchoring AI compliance in corporate strategy
- Lessons learned and practical implementation
- Learning Objectives*
- Grasp the principles of AI governance and compliance.
- Analyze and interpret regulatory requirements for AI.
- Develop and implement AI risk management strategies.
- Establish robust AI compliance management systems and governance structures.
- Understand data management and security best practices for AI.
- Prepare for AI-related incidents through crisis management planning.
- Integrate AI compliance into the overall corporate strategy.
Career Prospects
This training program is designed for professionals in roles such as project managers, IT managers, compliance officers, legal advisors, and leadership positions involved in the adoption and management of AI technologies. Graduates will be equipped to manage AI projects effectively, ensure regulatory compliance, and mitigate risks associated with AI implementation within organizations. Potential career paths include AI Project Lead, AI Compliance Manager, AI Governance Specialist, and roles in IT strategy and digital transformation.