Smart Analytics, Machine Learning, and AI on Google Cloud
This course is part of multiple programs. Learn more.
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.
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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
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
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
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Engineering, Big Data, and Machine Learning on GCP, Preparing for Google Cloud Data Engineer Certification
Payment options
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Instructor
Empowering Businesses with Expert Training from Google Cloud
The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.
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