Artificial Intelligence Learning Series - Generative AI, Large Language Models, and Predictive Analytics

This 1-hour program consisted of 3 micro-learning courses, covering the following learning objectives: (1) applications of generative artificial intelligence, (2) introducing large language models, and (3) applying generative AI in predictive analytics.

Learning objectives

Unit 1: Applications of generative artificial intelligence

• Understand the foundation of generative AI
• Generative AI models: GANs, VAEs, and autoregressive models
• Text and natural language generation
• Image and video generation
• Audio and music generation
• Ethical considerations of generative AI

Unit 2: Introducing large language models

• Introducing language models
• Different language models
• Natural Language Processing (NLP)
• Details of large language models
• ChatGPT
• Ethics and resposnbiel use of large language models

Unit 3: Applying generative AI in predictive analytics

• Introduction to Generative AI
• Predictive analytics fundamentals
• Applications of Generative AI in predictive analytics
• Ethical considerations and challenges