AI Practitioner Training: "AI Strategy and AI Optimization"

Upon completing this course, you will be able to strategically deploy advanced AI technologies in your company and realize sustainable benefits. You will learn to understand and effectively use complex AI models, professionally manage data and ensure quality, and identify and correct bias in models.

In addition, you’ll be well-prepared to scale AI projects, develop governance guidelines, and address ethical challenges. You’ll develop a well-founded strategy for the long-term use of AI and learn how to successfully integrate AI into your company’s culture.

With this course, you'll lay the foundation for making your business future-proof and competitive.

The AI Practitioner Training begins at 9:00 a.m. and ends at 5:00 p.m. There are plenty of breaks (coffee breaks, lunch break) during the AI Practitioner Training.

Welcome and Objectives

• Presentation of the Agenda and Course Objectives
• Clarifying participants' expectations and addressing their specific questions

In-Depth Look: Machine Learning and Deep Learning in Practice

• Advanced Concepts: Reinforcement Learning and Transfer Learning
• Case Studies: Supply Chain Optimization, Predictive Maintenance
• Demo: Training Pipeline for a Machine Learning Model
• Discussion: Potential Applications and Challenges

Data Management and AI Quality Assurance

• Data Preparation: Data Collection, Cleaning, and Annotation
• Addressing Bias in AI Models
• Quality Assurance: Model Validation and Continuous Learning
• Exercise: Identifying and Correcting Bias in Training Data

Generative AI and Its Applications

• Advanced Use of Generative AI: Content Creation, Prototyping
• Case Study: AI-Driven Product Innovation
• Exercise: Creating a Content Prototype Using Generative AI

AI Strategies for Businesses

• Developing a Long-Term AI Strategy
• Exercise: Developing a Strategic AI Plan for a Sample Company
• Discussion: Success Factors and Risks

Scaling AI Projects

• From Pilot Projects to Large-Scale Implementation
• Platforms and tools for scaling (e.g., cloud services)
• Exercise: Creating a Scaling Plan for an AI Project

AI Ethics and Governance

• Development of AI Governance Guidelines
• Ethical Challenges: Transparency, Fairness, Responsibility
• Exercise: Analysis of an Ethical Dilemma in the Use of AI

Integrating AI into Corporate Culture

• Change Management: Training and Engaging Employees
• Communication Strategies for AI Projects
• Exercise: Developing a Communication Plan for an AI Change Project

Case studies and interactive group work

• Analysis of Real-World AI Projects
• Group Project: Solving an AI-Related Problem for a Company

Conclusion, Reflection, and Farewell

• Course Summary
• Feedback Session and Open Questions
• Presentation of Certificates

• Applying advanced AI technologies: You understand concepts such as reinforcement learning and generative AI and can apply them specifically to address business challenges.
• Managing data efficiently: You are proficient in methods for data collection, cleaning, and annotation, as well as for ensuring the quality of AI models.
• Identifying and addressing bias in AI models: You will know how to develop and implement fair and transparent AI solutions.
• Planning and Scaling Strategic AI Projects: You can develop a long-term AI strategy, successfully expand pilot projects, and implement appropriate platforms and tools.
• Addressing ethical and governance issues: You develop governance guidelines, resolve ethical challenges, and promote the responsible use of AI within your organization.
• Integrating AI into corporate culture: You are proficient in change management methods and know how to train and engage employees and communicate the use of AI within your organization.
• Solving Practical Problems with AI: Through interactive case studies and group work, you will develop the ability to tackle real-world challenges using AI-based approaches.
• This course will enable you to implement AI strategically and sustainably within your company to drive innovation and secure a competitive advantage.

• Executives and decision-makers who want to strategically deploy AI in their companies to secure long-term competitive advantages.
• Project leaders and innovation managers who want to plan, implement, and scale AI projects to drive their organization forward.
• IT and data experts who understand advanced technologies such as reinforcement learning and generative AI and want to integrate them into existing systems.
• Change managers and HR professionals who want to guide the integration of AI into the corporate culture and actively involve employees.
• Entrepreneurs and strategy leaders who understand the ethical, technical, and organizational aspects of AI and want to make informed decisions.
• This training is ideal for anyone who wants to deepen their knowledge of AI, experience practical applications, and develop sustainable strategies for using AI.

The Artificial Intelligence (AI) Foundation course is a prerequisite for participating in the training.