Snowflake Cortex 编程大师班 2024 (英文)

Snowflake Cortex 大师班 2024 动手操作！

发布日期：2024年5月
课程创建者：Cristian Scutaru
视频格式：MP4 | 视频：h264, 1280×720 | 音频：AAC, 44.1 KHz, 2 Ch
类型：电子学习 | 语言：英语 + 字幕 | 时长：195讲（20小时15分钟） | 文件大小：10.8 GB
由世界级 Snowflake 专家、前数据超级英雄和 SnowPro 认证 SME 主讲

你将学到什么：
关于 Snowflake Cortex 的一切，Snowflake 的新 AI 和 ML 平台
如何使用 Snowpark 和 Snowpark ML 实现端到端的 ML 管道
如何使用笔记本和源代码片段在 Snowflake 上开发 ML 实验
如何使用 Snowflake Cortex 的 ML 强化类和函数
如何调用 Snowflake Cortex 的新 LLM 函数
如何在 Snowsight 中使用 Snowflake Copilot 和其他超新的 LLM UI 功能
如何使用 OpenAI REST API 将 Snowflake 与 ChatGPT 集成
如何在内存中的 Pandas 数据框上使用 Snowpark

需求：
对 Snowflake 有基本了解
掌握 SQL 编程的基本知识
掌握 Python 编程的基本知识
对数据科学和机器学习有基本了解
对深度学习和AE变形有基本了解
了解 LLM（如 ChatGPT）及其用例的基本知识
可选：了解 Streamlit
可选：了解时间序列

课程描述：
什么是 Snowflake Cortex？
Snowflake 在过去两年里才深入涉足 AI 和 ML。我知道，因为我从一开始就在这里。2021年1月，我被选为“Snowflake 数据超级英雄”。在过去两年中，我通过了许多 DS 和 ML 认证考试（见下文）。
2023年中期，他们推出了 Snowpark ML。随后推出了一些内置的 ML 强化功能，涉及回归和分类。2024年1月新增的 Snowpark ML 模型注册表现在允许在平台上进行端到端的 ML。
您将看到我将向您展示的并排的数据科学实验“旧方式”，在 Snowflake 上。其中许多与 ChatGPT（我在另一门课程中详细讨论过）集成。现在与新的 LLM 功能进行比较，因为 Snowflake 决定托管他们自己的大型语言模型。
这些（以及其他即将推出的功能）现在都在 Snowflake Cortex 的旗帜下展示。
你将学到什么：
新的 Snowflake Cortex AI & ML 平台的高层图景。
每个 Snowflake Cortex 区域的详细视图。
在 Cortex 之前如何在 Snowflake 上进行 ML 实验。
今天如何使用 Snowflake Cortex 中的 Snowpark ML API 实现 ML 实验。
使用 Snowpark ML 及其模型注册表进行端到端机器学习。
如何在 Snowflake Cortex 中使用新的回归和分类 ML 强化类和函数。
如何调用 Snowflake Cortex 中的新 LLM 函数，并将它们与 ChatGPT 进行比较。
期待 Snowflake Copilot 和 Cortex 中其他即将推出的 Snowflake 功能。
Snowflake 的路线图是什么，以及 Snowflake 对 Snowflake Cortex 或 AI & ML 领域的未来计划是什么。
这门课不是关于什么：
我不会在这里从头教你数据科学和机器学习。预期您对 ML、DL、LLMs 有一些基本知识……
Snowflake Cortex Masterclass 2024 Hands-On!

Published 5/2024
Created by Cristian Scutaru
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 195 Lectures ( 20h 15m ) | Size: 10.8 GB

by World-Class Snowflake Expert, former Data Superhero and SnowPro Certification SME

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!

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