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Computer Vision Fundamentals with Google Cloud

Master computer vision techniques from basic image classification to advanced CNN models using Google Cloud's machine learning tools.

Master computer vision techniques from basic image classification to advanced CNN models using Google Cloud's machine learning tools.

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 Advanced Machine Learning on Google Cloud 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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Computer Vision Fundamentals with Google Cloud

This course includes

18 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand key computer vision concepts and applications

  • Implement various ML models for image classification

  • Optimize models using augmentation and transfer learning

  • Work with Vertex AI for computer vision tasks

  • Develop custom CNN architectures

Skills you'll gain

Computer Vision
TensorFlow
CNN
Deep Learning
AutoML Vision
Transfer Learning
Image Classification
Data Augmentation
Neural Networks
Model Optimization

This course includes:

3 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 7 modules in this course

This comprehensive course covers computer vision fundamentals and implementation using Google Cloud tools. Students learn various approaches from pre-built ML models through AutoML Vision to custom CNN implementations. The curriculum includes hands-on practice with linear models, DNNs, and CNNs while addressing practical challenges like data scarcity and model optimization. Topics include data augmentation, transfer learning, and real-world computer vision applications.

Introduction

Module 1 · 14 Minutes to complete

Introduction to Computer Vision and Pre-built ML Models for Image Classification

Module 2 · 3 Hours to complete

Vertex AI and AutoML Vision on Vertex AI

Module 3 · 2 Hours to complete

Custom Training with Linear, Neural Network and Deep Neural Network models

Module 4 · 6 Hours to complete

Convolutional Neural Networks

Module 5 · 2 Hours to complete

Dealing with Image Data

Module 6 · 3 Hours to complete

Summary

Module 7 · 4 Minutes to complete

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.

Computer Vision Fundamentals with Google Cloud

This course includes

18 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

538 ratings

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.