Overview
Unlock the potential of Snowflake with our comprehensive course designed for developers, data scientists, and data engineers. This course introduces you to Snowflake as a powerful platform for building applications, creating data pipelines, and developing AI models and workflows. You'll start with no prior knowledge of Snowflake and advance to mastering user-defined functions, utilizing Snowflake Cortex LLM functions, editing a Streamlit app, and more.
The course is divided into three parts for structured learning:
- Part 1: Learn to use Snowflake’s core objects, including virtual warehouses, stages, and databases.
- Part 2: Discover advanced features such as time travel, cloning, user-defined functions, and stored procedures.
- Part 3: Dive into Snowflake’s capabilities for data engineering, generative AI, machine learning, and app development.
By the end of the course, you'll be well-equipped to start building your projects with Snowflake and continue your learning journey. Note that this course serves as a prerequisite for upcoming Snowflake courses on data engineering, AI, and application development.
University:
Provider: Coursera
Categories: Machine Learning Courses, Generative AI Courses, Data Warehousing Courses, SQL Courses, Snowflake Courses, Streamlit Courses, Data Engineering Courses.
Syllabus
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