Monash University
Approximately 8 hours recommended across 3 weeks. 2 months allowed to finish.
AI for Text Analysis teaches you how to use Large Language Models to automate text and data analysis, freeing up time and resources for other important work.
This course does not require any prerequisite knowledge. However, to get the most out of the content and activities, participants should have reading and language proficiency in English. All course content is delivered in English.
The course covers the following topics: - What Large Language Models (LLMs) are and how they operate - Ethical considerations when using LLMs for text analysis - How to select the right model for your text analysis task - Prompt engineering for better communication with an LLM - Controlling an LLM with code to process large quantities of data - Using an LLM to perform higher-order thinking such as Thematic Analysis - Measuring the performance of an LLM on your data - Presenting your work with LLMs to a wider audience
Monash University is a leading global university with a strong reputation for innovation and excellence in education. The course is developed and delivered by the Monash University Data Matters team, who have extensive experience in developing and implementing real-world AI systems.
Outside of the specific use case of text analysis, this course teaches you how to interact effectively with modern AI (Large Language Models). This skill is valuable in an increasingly AI-integrated workplace and transferable across multiple professions and disciplines.