Introduction to Generative AI with Snowflake

About this course

This course introduces learners to generative AI and how to implement common AI use cases using Snowflake. The course starts with an introduction of important concepts, the setup of the learner environment, and the building of a simple application. It’s followed by learning how to use the Cortex LLM functions to accomplish many common AI tasks, and ends with learning how to fine-tune foundation models to perform specific tasks. This course is for anyone looking to skill up on AI, but is particularly suited for data scientists, ML/AI engineers and data analytics professionals. To be successful in this course, you should have a background in Python, GenAI, and LLMs.

What you will learn

• How to build applications to implement common AI tasks such as summarization, translation, sentiment analysis, and text classification
• How to select a foundation model, including how to decide between the smaller or larger model sizes within a model family
• How to perform prompt engineering and inference programmatically with foundation model families including Llama, Mistral, and Anthropic
• How to fine-tune a foundation model to distill the capability of a larger model into a smaller one, or to train a model to respond in desired style