A4Q AI Foundation Training and Certification

Upon completion of the A4Q AI Foundation course, you will understand the core fundamentals of artificial intelligence and be able to contextualize key AI technologies, their applications, and their potential within a business setting. You will learn how to effectively use generative AI, prompting, and AI assistance systems, as well as which ethical and regulatory considerations—such as the EU AI Act and the GDPR—must be taken into account when deploying AI.

This will provide you with a solid foundation for better evaluating AI applications, identifying initial use cases, and actively shaping the responsible use of AI within your organization.

The A4Q AI Foundation training session begins at 9:00 a.m. and ends at 5:00 p.m. Ample breaks, including coffee breaks and a lunch break, are scheduled throughout the training.

Welcome and Introduction

• Overview of the Agenda and Learning Objectives
• The Importance of Artificial Intelligence in Businesses
• Discussion of participants' expectations and questions

Introduction to Artificial Intelligence

• Fundamentals, Terminology, and Key AI Technologies
• Machine Learning, Deep Learning, and Generative AI
• Applications such as chatbots, process optimization, and AI-powered assistance systems
• Hands-On Demo: Using Modern AI Tools

AI and the Legal Framework

• Relevant Legal Requirements and Data Protection Requirements
• Basics of the GDPR, Liability, and the Responsible Use of AI
• Ethical Considerations, Transparency, and Risks Associated with the Use of AI
• Exercise: Dealing with Legal and Organizational Challenges

Practical Applications of AI in Business

• Applications for Improving Efficiency and Optimizing Processes
• Examples from Analytics, Customer Service, Marketing, and Operations
• Hands-On Demo: Analysis and Evaluation Using AI Tools
• Exercise: Developing Initial AI Application Scenarios

Prompting and Generative AI in Practice

• The Importance of Prompts in Working with Generative AI
• Fundamentals and Best Practices for Effective Prompts
• Examples of Good and Less Suitable Prompts
• Using Prompts in Real-World Work Situations
• Exercise: Creating, Optimizing, and Reflecting on Your Own Prompts

AI Assistance Systems and Process Integration

• Automating Recurring Tasks
• Use of AI for Protocols, Reports, and Structured Content
• Integration of AI-powered assistance systems into existing processes and workflows
• Discussion: Opportunities, Limitations, and Efficiency Potential in the Company
• Exercise: Using AI Assistance Systems in Everyday Work

AI Roadmap, Change Management, and Implementation

• Developing initial concepts for a company-specific AI roadmap
• Goal Setting, Prioritization, and Evaluation of Potential AI Projects
• Change Management, Communication, and Acceptance within the Company
• Reflection on the Roadmap We Developed
• Identifying specific next steps for your own business context

Conclusion, Reflection, and Farewell

• Summary of the Key Training Topics
• Feedback Session and Open Questions
• Outlook for the Future Use of AI in the Workplace

• Understand the fundamentals of AI: You can explain key terms such as artificial intelligence, machine learning, deep learning, and generative AI, and distinguish between them.
• Identifying AI use cases in the enterprise: You identify suitable areas for applying AI, such as customer service, analytics, marketing, operations, process optimization, and knowledge management.
• Practical Use of AI Tools: You will apply AI-powered tools such as ChatGPT in a targeted manner to structure tasks, create content, analyze information, and streamline work processes.
• Developing Effective Prompts: You formulate clear prompts, refine existing prompts, and evaluate the quality of the results to obtain more reliable answers from AI systems.
• Assessing the Opportunities and Risks of AI: You can realistically assess the potential benefits, limitations, and risks of AI applications and evaluate them in the context of your organization.
• Consider legal and ethical requirements: You will identify relevant aspects related to data protection, the GDPR, liability, transparency, and the responsible use of AI.
• Integrating AI into processes: You will develop initial approaches for meaningfully integrating AI-powered assistance systems and automation into existing workflows.
• Develop an initial AI roadmap: You’ll prioritize potential AI projects, define next steps, and take into account change management, communication, and acceptance within the company.

The training thus provides a concrete foundation for not only understanding artificial intelligence within the company, but also for thoroughly evaluating initial applications and implementing them responsibly.

• Professionals and executives who want to develop a solid foundational understanding of artificial intelligence and better assess AI’s potential for their company.
• Project managers, team leaders, and product owners who want to integrate AI technologies into projects, processes, and workflows and prepare their teams for new ways of working.
• Decision-makers, IT managers, and strategy leaders who want to explore ways to use AI to improve efficiency, automate processes, and drive digital transformation.
• Employees in IT, marketing, sales, customer service, and operations who work with AI tools, generative AI, or AI-powered assistance systems and would like to understand their potential applications.
• Innovation managers, change managers, and business analysts who oversee AI initiatives, evaluate use cases, and actively support the adoption of AI within the company.

This training course is suitable for anyone who wants to understand artificial intelligence in a business context, learn about practical AI applications, and take the first steps toward the responsible use of AI.

No specific prior knowledge is required to participate in the A4Q AI Foundation training. The AI Foundation is also suitable for beginners who want to develop a basic understanding of artificial intelligence, generative AI, and practical AI applications.

For the hands-on exercises, all you need is a laptop or tablet with internet access. During the training, you’ll gain practical experience working with various AI tools and apply what you’ve learned directly to specific use cases in a business context.