Share this link via
Or copy link
Overview
This course introduces large language models (LLMs) to data professionals, covering model architecture, tokenization, embeddings, fine-tuning, and use cases. Learners explore how LLMs fit into the modern data stack, enable natural language querying, and support data storytelling and summarization. Practical labs involve using APIs to analyze structured and unstructured data. The course also discusses evaluation metrics, performance considerations, and responsible AI usage. By the end, learners can integrate LLMs into data workflows for enhanced analytics and automation.
Syllabus
- Course Overview 1min
- A Brief History of Large Language Models 20mins
- Real-world Large Language Models 16mins
Instructor
Russ Thomas
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.