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Launching into Machine Learning

Master machine learning fundamentals using Google Cloud Platform tools and services for model development and deployment.

Master machine learning fundamentals using Google Cloud Platform tools and services for model development and deployment.

This course is part of multiple programs including Machine Learning on Google Cloud Specialization and Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate. You can audit this 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.

4.6

(4,283 ratings)

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Launching into Machine Learning

This course includes

14 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

4,191

What you'll learn

  • Master exploratory data analysis techniques

  • Build and train AutoML models using Vertex AI

  • Optimize machine learning models using performance metrics

  • Develop scalable training and evaluation datasets

  • Implement BigQuery ML solutions

  • Understand model generalization principles

Skills you'll gain

Machine Learning
TensorFlow
BigQuery ML
Data Analysis
AutoML
Model Optimization
Data Cleansing
Vertex AI
Performance Metrics
Exploratory Data Analysis

This course includes:

3 Hours PreRecorded video

6 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 8 modules in this course

This comprehensive course introduces fundamental machine learning concepts and their implementation on Google Cloud Platform. Students learn about data quality improvement, exploratory data analysis, and model development using Vertex AI AutoML and BigQuery ML. The curriculum covers optimization techniques, generalization principles, and practical aspects of machine learning model development and deployment.

Introduction

Module 1 · 0 Minutes to complete

Get to Know Your Data: Improve Data through Exploratory Data Analysis

Module 2 · 3 Hours to complete

Machine Learning in Practice

Module 3 · 3 Hours to complete

Training AutoML Models Using Vertex AI

Module 4 · 57 Minutes to complete

BigQuery Machine Learning: Develop ML Models Where Your Data Lives

Module 5 · 1 Hours to complete

Optimization

Module 6 · 1 Hours to complete

Generalization and Sampling

Module 7 · 47 Minutes to complete

Summary

Module 8 · 2 Hours to complete

Fee Structure

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

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.

Launching into Machine Learning

This course includes

14 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

4,191

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.