Example course
Introduction to Artificial Technology (AI) Technology
This course offers an in-depth examination of Artificial Intelligence (AI) with a focus on its application in the travel and tourism sector. It covers the historical development, current trends, and cultural impact of AI, along with a detailed understanding of machine learning, data management, computing power, and the implications of AI on global connectivity and skills development.
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Modules
23
Lessons
1
Quizzes
Course material
A full outline of what's inside this course.
1
Introduction to AI
5 lessons- Overview and Purpose of AI
- History of AI and Key Milestones
- Core Concepts of AI: Algorithms and Data
- Types and Applications of AI
- Generative AI: Opportunities and Challenges
2
Recent Trends and Ethical Concerns
3 lessons- Recent Developments and Trends in AI
- Cultural Impact and Industry Debates
- Concerns and Ethical Guidelines in AI Usage
3
AI and Data Management
3 lessons- Big Data and Its Characteristics
- Data Management Solutions: Warehouses, Lakes, and Lakehouses
- Applications of AI in Data Systems
4
Computing Power and AI Infrastructure
3 lessons- Role of Computing Power in AI
- Moore's Law and Technological Advancements
- Global Dynamics of Chip Production and AI Infrastructure
5
AI in Travel & Tourism
3 lessons- AI Applications in Travel & Tourism
- Expert Systems and Predictive AI in Tourism
- Generative AI for Content Creation
6
Digital Divide and AI Skills Gap
3 lessons- Global Digital Connectivity and Challenges
- Implications of the Digital Divide
- Strategies to Address AI Skills Gap
7
Key AI Concepts and Terminology
3 lessons- Machine Learning and Deep Learning Techniques
- Understanding Generative AI and Large Language Models
- Ethical Development and Explainable AI