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Smart Analytics, Machine Learning, and AI on Google Cloud
This course is part of multiple programs. Learn more.
Course Cost
Free course
Intermediate
Skill Level
6 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Engineering, Big Data, and Machine Learning on GCP Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
38,472 Enrolled
English
What you'll learn
Differentiate between ML, AI, and deep learning concepts
Utilize pre-built ML APIs to process and analyze unstructured data
Execute BigQuery commands from notebooks for data analysis
Create custom ML models using SQL syntax in BigQuery ML
Build and deploy ML models without coding using Vertex AI AutoML
Implement production ML pipelines on Google Cloud
Apply TensorFlow Hub for model development
Productionalize machine learning solutions in cloud environments
Skills you'll gain
This course includes:
6 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 8 modules in this course
This comprehensive course explores how to incorporate machine learning into data pipelines on Google Cloud to enhance data insight extraction capabilities. It covers various approaches to machine learning implementation, from low-customization solutions using AutoML to more tailored capabilities using Notebooks and BigQuery ML. Students learn to work with unstructured data using pre-built ML APIs, execute BigQuery commands from notebooks, create ML models using SQL syntax, and productionalize machine learning solutions with Vertex AI. The course provides practical hands-on experience through lab exercises that reinforce theoretical concepts, enabling learners to build real-world ML solutions on Google Cloud Platform.
Introduction
Module 1 · 1 Minutes to complete
Introduction to Analytics and AI
Module 2 · 12 Minutes to complete
Prebuilt ML model APIs for Unstructured Data
Module 3 · 1 Hours to complete
Big Data Analytics with Notebooks
Module 4 · 1 Hours to complete
Production ML Pipelines
Module 5 · 1 Hours to complete
Custom Model building with SQL in BigQuery ML
Module 6 · 2 Hours to complete
Custom Model Building with Vertex AI AutoML
Module 7 · 26 Minutes to complete
Summary
Module 8 · 0 Minutes to complete
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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