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所在平台: Udemy |
课程主页: https://www.udemy.com/course/snowflake-cortex/
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课程名称：Snowflake Cortex 大师班实践课程 课程概述： 此课程适合具备中级水平的学习者，不适合刚开始接触Snowflake、数据科学、关系数据库、SQL或Python编程的初学者。课程涉及了一些较高级的概念，且未在此处详细解释。请在购买前检查课程的最低要求以及“课程不包括的内容”部分。 Snowflake Cortex简介： Snowflake在过去两年中积极进入人工智能（AI）和机器学习（ML）领域。课程讲师自2021年起被选为"Snowflake数据超级英雄"，并在过去两年中通过了多项数据科学和机器学习的认证考试。2023年中旬，Snowflake推出了Snowpark ML，以及一些内置的机器学习功能，涉及回归与分类。2024年1月，Snowpark ML的新模型注册功能实现了平台内的端到端机器学习。 课程内容： - 理解Snowflake Cortex AI与ML平台的高层次概念。 - 详细了解Snowflake Cortex的各个领域。 - 探讨在Cortex推出前，如何在Snowflake中进行机器学习实验。 - 学习如何利用Snowpark ML APIs进行机器学习实验。 - 介绍如何通过Snowpark ML及其模型注册实现端到端机器学习。 - 掌握Snowflake Cortex中新的回归和分类机器学习类和函数的使用。 - 学习如何调用Snowflake Cortex中的新LLM功能，并与ChatGPT进行比较。 - 了解Snowflake Copilot及未来在Cortex中的其他新功能。 - 了解Snowflake对Cortex及AI/ML领域的未来规划和发展路线图。 课程不包括的内容： - 本课程不会从基础讲解数据科学和机器学习，学员需具备ML、DL、LLM等基本知识。 - 不涵盖Snowflake的其他领域，学员应对Snowflake及数据仓库有基本了解。 - 不教授Python或SQL编程，要求学员具备相关基础知识。本文会涉及一些简单的Streamlit应用，但力求简单易懂。 - 不会涵盖数据科学在Snowflake中的所有内容，讲师会展示一些“传统方式”的实验，如使用scikit-learn或与ChatGPT的集成，但主要聚焦于Snowflake Cortex。 - 关于Snowpark容器服务的新功能，将在课程中简单提及，未来可能推出更高阶的课程。 讲师介绍： 讲师是唯一一位来自加拿大的Snowflake数据超级英雄，于2021年被选中，拥有多个SnowPro认证，且精通Snowflake技术，先后为多个Snowflake合作伙伴公司工作，并且以独立顾问身份服务众多客户。 总结： 此课程全面覆盖了新发布的Snowflake Cortex，讲师计划定期更新内容。赶快报名吧，随时随地永久享有课程内容！
IMPORTANT: This course requires an INTERMEDIATE level and it may NOT be for you if you just recently started with Snowflake and/or Data Science, relational databases, with SQL and/or Python programming. It occasionally deals with advanced notions that are not explained here. Check the minimum Requirements for this course, and the "What this course is NOT about" section below, before buying this course!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!
