What you'll learn:
Everything about Snowflake Cortex, the new AI & ML platform from Snowflake
How to implement end-to-end ML pipelines using both Snowpark and Snowpark ML
How to develop ML experiments with Snowflake using notebooks and code snippets
How to use the ML-powered classes and functions from Snowflake Cortex
How to call the new LLM functions from Snowflake Cortex
How to use Snowflake Copilot and other super-new LLM UI features in Snowsight
How to integrate Snowflake with ChatGPT using the OpenAI REST API
How to use Snowpark over in-memory Pandas DataFrames
Requirements:
Basic knowledge of Snowflake
Basic knowledge of programming in SQL
Basic knowledge of programming in Python
Basic knowledge of Data Science and Machine Learning
Basic knowledge of Deep Learning and Transformers
Basic knowledge of LLMs (like ChatGPT) and their use cases
Optional knowledge of Streamlit
Optional knowledge of Time Series
Description:
What is Snowflake CortexSnowflake got heavily involved into AI and ML only in the past two years. I know, because I've been around since the beginning. In Jan 2021 I was selected by them as a "Snowflake Data Superhero". And in my last two years alone I passed many DS and ML certification exams (see below).In mid-2023 they came up with Snowpark ML. Then with some built-in ML-powered functions, about regression and classification. The new Model Registry from Snowpark ML - added in Jan 2024 - allows now end-to-end ML on the platform.You'll see side-by-side data science experiments I will present to you "the old way", on Snowflake. Many of them with integrations with ChatGPT (about which I talked in detail in another course of mine). To compare them now with the new LLM functions, as Snowflake decided to host their own Large Language Models.Most of these (and other features yet to come) are now presented under the Snowflake Cortex umbrella.What you will learnHigh-level picture of the new Snowflake Cortex AI & ML platform.Detailed views on each of the Snowflake Cortex areas.How ML experiments were done on Snowflake before Cortex.How ML experiments can be implemented today with the Snowpark ML APIs, part of Snowflake Cortex.End-to-end Machine Learning with Snowpark ML and its Model Registry.How to use the new regression and classification ML-powered classes and functions, in Snowflake Cortex.How to call the new LLM functions from Snowflake Cortex, and compare them with ChatGPT.What to expect from Snowflake Copilot and other incoming Snowflake features in Cortex.What was the roadmap and what are the future plans of Snowflake for Snowflake Cortex or in the AI & ML areas.What this course is NOT aboutI will not teach you data science and machine learning here from ground up. You are expected to have some basic knowledge about ML, DL, LLMs...I will not teach you about many other areas in Snowflake. You are expected to have basic knowledge of Snowflake and data warehouses in general.I will not teach programming in Python or SQL. It's a hands-on course and you are expected to have some basic knowledge in this area. However, I may come-up with some small Streamlit apps, but I'll keep everything simple and easy to understand.This will not cover EVERYTHING you can do as data science in Snowflake. While you will see experiments "the old way" with scikit-learn, or integrations with ChatGPT, these are not part of Cortex! We have to limit mostly to Snowflake Cortex, as that's a huge platform.While Snowpark Container Services are also very new and they also target mostly ML and DL experiments (especially the new containers with GPUs), there will not be enough time to go deeper in detail. And this is also a very specialized and more difficult platform to understand. I may come up later on with a more advanced course on SPCS, but for now this course does not require such an advanced level of preparation.Who I amThe only world-class expert from Canada selected for the Snowflake Data Superhero program in 2021.SnowPro Certification SME (Subject Matter Expert) - many SnowPro exam questions have been created by me.Passed four SnowPro certification exams to date (with no retakes): Core, Architect, Data Engineer, Data Analyst.Specialized in Snowflake for the past few years: I worked for Snowflake Partner companies. I served dozens of clients in this capacity or as an independent consultant. Today I share my knowledge with highly specialize courses on Snowflake.A few of my latest Data Science and Machine Learning certificationsAWS Certified in Machine LearningMicrosoft Azure Data Scientist AssociateMicrosoft Azure AI Engineer AssociateMicrosoft Azure AI FundamentalsTensorFlow Developer CertificateAlteryx Machine Learning Fundamentals CertifiedDataiku ML Practitioner CertifiedDataiku MLOps Practitioner CertifiedNeo4j Graph Data Science CertifiedTigerGraph Graph Algorithms for Machine LearningThis course truly offers a complete coverage of the new Snowflake Cortex, and my intention is to update it frequently. Enroll today, and keep this course forever!
Who this course is for:
Data Scientists who want to learn about all AI & ML opportunities in Snowflake
Data Analysis looking how to use the new ML-based and LLM functions
Data and Software Engineers looking to expand into AI & ML on Snowflake
Project Managers looking for a 360 degree view of the new Snowflake Cortex platform
Data Architects willing to understand fast how Snowflake Cortex is built
Anyone else looking for a high-level (but detailed) picture of Snowflake Cortex
Anyone looking to understand the code and query pushdown model of Snowflake
Anyone looking how to save money on Snowflake using new built-in ML and LLM functions
Anyone looking for other Snowflake features yet to come in the AI & ML area
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