Google BigQuery for Data and ML Engineers
Skills:
ML Pipelines80%
Learn how to use Google BigQuery to enhance your data engineering and machine learning skills in this practical, instructor-led course. Taught by experienced cloud architect and author Dan Sullivan, you’ll work with BigQuery’s serverless architecture, advanced SQL, and data warehousing features to efficiently manage and analyze large datasets.
This course is suitable for both beginners and those with experience. You’ll get hands-on practice with data ingestion, transformation, and building reliable data pipelines. The curriculum covers how to create, evaluate, and deploy machine learning models within BigQuery, as well as recent generative AI applications.
Through real-world projects and clear instruction, you’ll build the skills needed to use BigQuery in your day-to-day work. Whether you’re new to the field or looking to expand your knowledge, this course offers practical tools and techniques for data engineering and machine learning.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ML Pipelines
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
ACID vs BASE Transactions
Dev.to · 丁久
Chapter 1. The Big Three of Circuits — R, L, C
Medium · Programming
Angular Interviews Questions Morgan Stanley Questions for 5+ Years Experience
Medium · Programming
I Used to Think System Design Diagrams Had to Look Cool. I Was Wrong
Dev.to · Flik – Software Critical Dev
🎓
Tutor Explanation
DeepCamp AI