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via Udemy |
Go to Course: https://www.udemy.com/course/snowflake-cortex/
Certainly! Here's a comprehensive review and recommendation for the Snowflake Cortex course on Coursera: --- **Course Review and Recommendation: Mastering Snowflake Cortex for AI & ML** **Overview:** The Snowflake Cortex course on Coursera is an advanced, specialized program designed for professionals with an intermediate level of experience in data science, Snowflake, relational databases, SQL, and Python programming. It is ideal for those who already possess foundational knowledge and are looking to deepen their understanding of Snowflake's latest AI and ML capabilities under the Cortex umbrella. **What You Will Learn:** - A high-level overview of Snowflake Cortex and its role in AI & ML. - In-depth insights into each component of Snowflake Cortex. - How to implement ML experiments previously done manually on Snowflake, now streamlined via Snowpark ML APIs. - End-to-end machine learning workflows on Snowflake, including the use of Model Registry. - Practical application of ML-powered functions for regression and classification. - Integration and comparison of Snowflake's LLM functions with ChatGPT. - Future features like Snowflake Copilot and ongoing development roadmaps. **Who This Course Is For:** This course is geared toward data professionals who already understand basic concepts of data science, machine learning, and Snowflake. It assumes familiarity with programming (Python and SQL) and an understanding of ML fundamentals, making it unsuitable for complete beginners or those new to Snowflake. **Strengths:** - Taught by an industry expert with extensive Snowflake and ML experience, ensuring high-quality, reliable content. - Focuses on the latest developments in Snowflake Cortex, providing cutting-edge knowledge. - Demonstrates real-world applications and side-by-side comparisons of traditional and Cortex-based approaches. - Keeps updating the curriculum to include new features, making it a valuable long-term resource. **Limitations:** - Not suitable for beginners; prior knowledge of Snowflake, SQL, Python, and basic ML is required. - Does not cover the fundamentals of data science or machine learning from scratch. - Limited depth on Snowpark Container Services and other advanced topics not directly related to Cortex. - Focused mainly on Snowflake's EC2/ML ecosystem, so broader data engineering or other analytic topics are outside the scope. **Is It Worth It?** Absolutely, if you meet the prerequisites and want to stay at the forefront of Snowflake's AI and ML platform, this course is highly recommended. The instructor's credentials and experience ensure you receive high-quality educational content that is both practical and insightful. It’s especially beneficial for Data Engineers, Data Scientists, and Analytics Professionals aiming to leverage Snowflake's advanced ML functionalities. **Final Verdict:** Enroll in this course if you are ready to elevate your Snowflake and ML skills to the next level. Be prepared to engage with advanced content and actively apply what you learn in real-world scenarios. Given the rapid evolution of Snowflake Cortex, this course offers excellent value as a continuously updated resource. --- Feel free to ask if you'd like a more personalized recommendation or tips on how to get the most out of this course!
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!