Intro to Snowflake for Devs, Data Scientists, Data Engineers
Master Snowflake's platform for building data applications, pipelines, and AI models. Learn core features and practical implementations.
Master Snowflake's platform for building data applications, pipelines, and AI models. Learn core features and practical implementations.
This comprehensive course introduces learners to Snowflake's powerful platform capabilities for building applications, data pipelines, and AI models. Starting from basic concepts, the course progresses through core objects like virtual warehouses and databases to advanced features including time travel and user-defined functions. Students learn practical implementations through hands-on assignments, exploring data engineering, generative AI, machine learning, and app development. The curriculum emphasizes both theoretical understanding and practical application, making it ideal for developers, data scientists, and engineers looking to leverage Snowflake's capabilities.
4.7
(31 ratings)
5,482 already enrolled
Instructors:
English
English (Original), العربية (آلي), Deutsch (Auto), 6 more
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What you'll learn
Create and manage Snowflake core objects including warehouses and databases
Implement advanced features like time travel and data cloning
Develop user-defined functions and stored procedures
Work with Snowpark DataFrames and machine learning models
Understand data engineering and AI capabilities
Build and deploy Streamlit applications
Skills you'll gain
This course includes:
298 Minutes PreRecorded video
27 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This course provides a comprehensive introduction to Snowflake's platform capabilities across three main modules. Students learn about core objects and architecture, explore feature implementations, and discover practical applications in data engineering, AI/ML, and app development. The curriculum combines theoretical concepts with hands-on practice, preparing learners for real-world data platform usage.
Snowflake's Core Objects and Architecture
Module 1 · 3 Hours to complete
Snowflake Feature Overview
Module 2 · 3 Hours to complete
Overview of Builder Workloads: Data Engineering, AI / ML, Apps
Module 3 · 3 Hours to complete
Fee Structure
Instructor
Leading Provider of Cloud Data Platform Education
Snowflake Northstar serves as the educational division of Snowflake, offering comprehensive training programs in cloud data platform technologies and modern data engineering. Their course portfolio includes two flagship programs: "Intro to Snowflake for Devs, Data Scientists, Data Engineers" (beginner level) and "Introduction to Modern Data Engineering with Snowflake" (intermediate level). The introductory course has attracted over 5,775 learners and focuses on fundamental concepts including virtual warehouses, databases, schemas, and Snowpark DataFrames. The Modern Data Engineering course, with 1,726 enrollments, covers advanced topics in building continuous data pipelines and large-scale data transformation. Both courses feature hands-on assignments, practical exercises, and real-world applications, maintaining high student satisfaction rates with instructor ratings of 4.9/5. Their curriculum emphasizes practical skills development through interactive labs, covering topics from basic SQL queries to advanced data engineering concepts, making complex cloud computing concepts accessible to learners at various skill levels.
Testimonials
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4.7 course rating
31 ratings
Frequently asked questions
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