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Computer Vision Fundamentals with Google Cloud
This course is part of Advanced Machine Learning on Google Cloud Specialization.
Course Cost
Free course
Advanced
Skill Level
17 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 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.
17,198 Enrolled
English
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
This course includes:
3 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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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
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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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