👇 CELEBRATE CLOUD SECURITY DAY 👇
00
HOURS
00
MINUTES
00
SECONDS
Machine Learning with BigQuery Exam
BigQuery Machine Learning (BQML) allows organizations to build and apply machine learning models right inside Google’s BigQuery platform. Instead of exporting data into specialized machine learning systems, BigQuery integrates ML capabilities directly, using familiar SQL commands. This saves time, reduces complexity, and makes predictive analytics accessible even for teams without deep coding or data science experience.
Professionals who learn this skill gain the ability to handle large-scale data and unlock its potential with advanced yet easy-to-use cloud-based tools.
This exam is ideal for:
Industry-endorsed certificates to strengthen your career profile.
Start learning immediately with digital materials, no delays.
Practice until you’re fully confident, at no additional charge.
Study anytime, anywhere, on laptop, tablet, or smartphone.
Courses and practice exams developed by qualified professionals.
Support available round the clock whenever you need help.
Easy-to-follow content with practice exams and assessments.
Join a global community of professionals advancing their skills.
It allows building ML models directly inside BigQuery without moving data elsewhere.
No, Machine Learning with BigQuery certification is beginner-friendly and focuses on SQL-based ML.
Basic SQL knowledge is enough; Python is optional for advanced use.
Yes, these models are included in the course.
Yes, it can be integrated with Vertex AI for real-time use cases.
Basic understanding of cloud concepts is helpful but not needed.
Data analysts, engineers, and cloud professionals wanting to integrate ML into their workflows.
Yes, time series forecasting is one of the key topics.
Yes, especially for those who work with data insights and reporting.
Very large-scale datasets stored in Google Cloud’s BigQuery.