Artificial Intelligence (AI) in service trades

Introduction

The course is designed to provide an overview of artificial intelligence (AI) and its application in various service sectors. Throughout the course, we will explore the basic concepts of AI, including its development, key technologies, and methodologies. We will also examine the role of AI in service industries, focusing on its practical applications and impact. Participants will gain an understanding of how AI tools and technologies are being used in fields such as hospitality, retail, healthcare, and customer service. The course will address both the opportunities and challenges presented by AI in these contexts. Additionally, we will discuss the ethical considerations and societal implications of AI integration in service trades.

Target group

All

Prerequisites

None

Duration

16 hours

Evaluation

Final test

Documentation

Course certificate

Learning outcome

Understand the Fundamentals of AI: Students will gain a foundational understanding of artificial intelligence, including its history, key concepts, and various types of AI (such as machine learning, neural networks, and natural language processing). Identify AI Applications in Service Trades: Students will be able to identify and analyze how AI is currently being used in various service trades, including hospitality, retail, healthcare, and customer service, and understand the potential benefits and challenges. Develop Skills in AI Tools and Technologies: Students will acquire practical skills in using AI tools and technologies relevant to service trades. This may include learning about AI-powered chatbots, recommendation systems, predictive analytics, and automation tools. Ethical Considerations and AI: Students will understand the ethical considerations and societal impacts of AI in service trades, including privacy concerns, data security, and the implications of automation on employment. AI Integration Strategies: Students will learn strategies for integrating AI into existing service trade practices, including evaluating business needs, choosing appropriate AI solutions, and understanding the change management process associated with AI adoption. Hands-On AI Project: Through a capstone project or practical assignment, students will apply AI concepts and tools to a real-world problem in the service industry, demonstrating their ability to implement AI solutions effectively. Critical Thinking and Problem-Solving with AI: Students will develop critical thinking skills related to problem-solving using AI. They will learn to assess situations in service trades where AI can provide viable solutions and propose innovative AI-driven strategies. Communication and AI: Students will gain skills in effectively communicating about AI technologies, including explaining AI concepts to non-technical stakeholders in service trades and discussing the potential impact of AI on business operations and customer experiences. These outcomes provide a comprehensive framework that covers both theoretical understanding and practical application, ensuring that students are well-equipped to engage with AI in the context of service trades.