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Training for Snowflake Cortex Masterclass Hands-On (Udemy.com)

Deep dive into AI/ML technologies from Snowflake AI Data Cloud, by world-class Snowflake expert

Created by: Cristian Scutaru

Last updated May 2026

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What you will 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

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews479#242 of 462 by number of reviews
  • Length20.6 hourslonger than 80% of them
  • Last updatedMay 2026more recently than 75% of them

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Course Description

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 Cortex

  • Snowflake 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 learn

  • High-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 about

  • I 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 am

  • The 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 certifications

  • AWS Certified in Machine Learning

  • Microsoft Azure Data Scientist Associate

  • Microsoft Azure AI Engineer Associate

  • Microsoft Azure AI Fundamentals

  • TensorFlow Developer Certificate

  • Alteryx Machine Learning Fundamentals Certified

  • Dataiku ML Practitioner Certified

  • Dataiku MLOps Practitioner Certified

  • Neo4j Graph Data Science Certified

  • TigerGraph Graph Algorithms for Machine Learning

This 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!

[Disclaimer: We are not affiliated with or endorsed by Snowflake, Inc.]

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Instructor Details

Cristian Scutaru

Senior Solutions Architect and Data Scientist helping developers and businesses master Snowflake, AI workflows, and modern data systems through practical, enterprise-grade education.

World-class expert in Snowflake AI Data Cloud. Former Snowflake "Data Superhero" and SnowPro Certification SME (Subject Matter Expert). With 10x SnowPro exams, all passed from the first attempt.

Over 40 proctored certification exams passed in the last 3-4 years alone, all from the first attempt. Dozens on certifications in AWS/Azure/GCP, in Data Science and Machine Learning.


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Reviews

4.5

479 ratings on Udemy

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By Sagarmoy Sarkar on 9/13/2026

I really liked how the components are explained step by step for each part. Hands on were a real help along with the code base. End to end explanation of how to create, deploy and maintain ML pipelines in Snowflake was a real bonus. Thankyou!

By Pablo Andrés Duarte Robles on 5/3/2026

10/10, really fun course. I've taken it with the idea of passing the SnowPro Advanced: Data Scientist certification (my employer requires it). My only comment is that I would have loved for it to be up to date with the latest topics, but I understand how quick they quick adding and adding stuff into Snowflake, so keeping it updated is challenging. If like me, you want to pass the certification, I really doubt this will be enough, but I feel like it provided me with a very solid base to focus on the details to pass the exam.

By Richard Steinbiss on 2/9/2026

Thank you Christian, it must have been so much work putting this course together. I just passed the Snowpro Advanced Data Scientist exam, the new version C03 as of January 2026. I can tell that they now finally added model registry, Snowpark ML, and Cortex, and your course prepares well for that. Next I'm doing your course on Snowflake programming to help prepare for the Data Engineer certification. Thank you so much for all the work you put it, it's top quality content, really hard to find for Snowflake.

By Jyothikrupa Viswanadham on 11/17/2025

too much of history

By Kpodar Folly on 10/29/2025

one of the best courses around snowflake ML progressively bring student to a deep understanding of snowpark ML implementation Clear understanding of LLM FUNCTION and ML FUNCTION OR CLASSES Very very goog course , Instructor experience is valuable

By Boris Baliner on 9/3/2025

The content is thorough, but strangely the course locks doesn't allow screenshots. The screen turns black, which is unfortunate since this is how I take notes often.

By Bernard Dadario on 7/7/2025

It's very good. Some things don't work properly, I guess do to the fact that these videos are a few years old. The subject matter is very good and the instructor is very knowledgeable. I would have like to find the instructions of all the packages, etc. I would have needed prior to starting the class.

By P Palaniappan on 4/8/2025

Greately appreciate all the efforts for this course for extensive coverage in Snowflake Cortex ML. I found the Code in Git repo. But if the Python notebook, file or SQL file as a resource file attached along with each module or section will be helpful, where the hands/code on used in the course. The setup instructions(Wrapping up ) was presented at the end of the course. If it was moved to the beginning of the course, that will be helpful to follow the course in parallel with learning process. Otherwise feel some lag in the learning process. The hands on code was not explained properly, explaining about the purpose of code, why these libraries used, explain the code from start to end.

By Christian Durán García on 2/21/2025

Excellent course for learning the basics of Machine Learning in Snowflake, the first iteration of Snowpark for ML, its evolution to SnowparkML, and a quick glance at LLMs in Snowflake. Overall, a great course for data scientists that want to have a look at how ML/AI is applied using Snowflake features. Great course!

By Kevin Seely on 9/10/2024

Excellent foundation for Snowpark, Snowpark ML, ML Functions, Snowflake LLM Functions and also Extensions. This is likely one of the most comprehensive trainings to date on Cortex. The course provides a solid foundation explaining how Snowflake landed on what we have today in Cortex. This course provides a great comparison of ML pipelines inside and outside of Snowflake. Also, a good explanation of ML pipeline features over time within Snowflake. Very thorough hands-on sections and the associated github repo is full of great content, thank you! Nice work, Cristian!

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Overall Score : 90 / 100