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Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
This lab will show you how to deploy a set of Cloud Functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.
Register for this course and see more details by visiting:
OpenCourser.com/course/uvl2no/scanning
What's inside
Syllabus
Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Offers hands on labs and interactive materials for deeper understanding
Develops skills highly relevant to industry, specifically using Cloud Vision API and Cloud Video Intelligence
Taught by Google Cloud Training, recognized for their expertise in cloud computing
Course content tailored for learners with experience in content processing and cloud computing
Prerequisites required for optimal learning
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Activities
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Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs.
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Career center
Learners who complete Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for building and deploying machine learning models that can analyze and make predictions based on large datasets. This course provides a solid foundation in using Cloud Video Intelligence API to perform video analysis tasks such as object tracking, activity recognition, and sentiment analysis. These skills are essential for developing machine learning models that can understand and interpret visual information.
Software Engineer
Software Engineer
This course provides a solid foundation for Software Engineers who want to develop applications that can analyze and process user-generated content. It covers the use of Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for tasks such as image recognition, object detection, and video analysis. These skills are increasingly important as organizations look to build applications that can interact with the real world.
Computer Vision Engineer
Computer Vision Engineer
This course is an excellent starting point for aspiring Computer Vision Engineers. It provides a comprehensive introduction to using Cloud Vision API to perform tasks such as image recognition, object detection, and facial analysis. These skills are in high demand as organizations increasingly rely on computer vision technology for applications such as security, healthcare, and manufacturing.
Data Scientist
Data Scientist
Data Scientists are highly skilled professionals who use their expertise in statistics, machine learning, and data analysis to solve real-world problems. This course provides a practical introduction to using Cloud Vision API and Cloud Video Intelligence API to perform image and video analysis tasks. These skills are increasingly important for Data Scientists as they enable them to extract insights from unstructured data sources.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts help organizations make informed decisions by analyzing data and identifying trends. This course provides a valuable introduction to using Cloud Vision API and Cloud Video Intelligence API to perform image and video analysis. These skills are essential for Business Intelligence Analysts as they enable them to extract insights from unstructured data sources, such as customer feedback, social media posts, and surveillance footage.
Data Analyst
Data Analyst
As a Data Analyst, you will help solve complex problems by extracting, cleaning, and analyzing large amounts of user-generated data. The hands-on labs in this course provide you with the skills to use Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API to perform tasks such as object detection, image classification, and even sentiment analysis on streaming video. These skills are highly sought by employers, as they empower you to make better decisions by uncovering trends and insights from unstructured data.
Web Developer
Web Developer
This course can be particularly useful for Web Developers who are looking to add image and video analysis capabilities to their web applications. It covers the use of Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for tasks such as image recognition, object detection, and video analysis. These skills are increasingly important as web applications become more sophisticated and interactive.
Mobile Developer
Mobile Developer
Mobile Developers who want to develop mobile applications that can analyze and process user-generated content will find this course valuable. It covers the use of Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for tasks such as image recognition, object detection, and video analysis. These skills are increasingly important as mobile applications become more sophisticated and interactive.
Product Manager
Product Manager
Product Managers who are responsible for developing and managing products that incorporate image and video analysis capabilities will find this course useful. It provides a comprehensive overview of using Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for these tasks. This knowledge will help them make informed decisions about the features and functionality of their products.
User Experience (UX) Designer
User Experience (UX) Designer
This course may be useful for UX Designers who want to learn more about how image and video analysis can be used to improve the user experience. It covers the use of Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for tasks such as image recognition, object detection, and video analysis. These skills can help UX Designers create more intuitive and engaging user interfaces.
Videographer
Videographer
This course may be useful for Videographers who want to learn more about how video analysis can be used to improve their videography skills. It covers the use of Cloud Video Intelligence API for tasks such as object tracking, activity recognition, and sentiment analysis. These skills can help Videographers create more engaging and informative videos.
Photographer
Photographer
This course may be useful for Photographers who want to learn more about how image analysis can be used to improve their photography skills. It covers the use of Cloud Vision API for tasks such as image recognition, object detection, and facial analysis. These skills can help Photographers take better photos and edit them more effectively.
Social Media Manager
Social Media Manager
This course may be useful for Social Media Managers who want to learn more about how image and video analysis can be used to manage their social media accounts more effectively. It covers the use of Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for tasks such as image recognition, object detection, and video analysis. These skills can help Social Media Managers track key metrics such as engagement, reach, and sentiment.
Content Creator
Content Creator
This course may be useful for Content Creators who want to learn more about how image and video analysis can be used to create more engaging content. It covers the use of Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for tasks such as image recognition, object detection, and video analysis. These skills can help Content Creators make their content more visually appealing and informative.
Marketing Analyst
Marketing Analyst
This course may be helpful for Marketing Analysts who want to learn more about how image and video analysis can be used to measure the effectiveness of marketing campaigns. It covers the use of Cloud Functions, Cloud Vision API, and Cloud Video Intelligence API for tasks such as image recognition, object detection, and video analysis. These skills can help Marketing Analysts track key metrics such as brand awareness, customer engagement, and conversion rates.
For more career information including salaries, visit:
OpenCourser.com/course/uvl2no/scanning
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs.
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Provides a comprehensive overview of deep learning. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive overview of machine learning for computer vision. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive overview of probabilistic graphical models. It covers a wide range of topics, including Bayesian networks, Markov random fields, and factor graphs.
Provides a comprehensive overview of pattern classification. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Save
Provides a comprehensive overview of computer vision algorithms and their applications. It covers a wide range of topics, including image formation, feature detection, object recognition, and image segmentation.
Provides a comprehensive overview of computer vision models, learning, and inference. It covers a wide range of topics, including image processing, feature extraction, object detection, and image segmentation.
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive overview of Bayesian reasoning and machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a practical introduction to deep learning for coders. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a practical introduction to deep learning for computer vision. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a hands-on introduction to image processing with Python. It covers a wide range of topics, including image enhancement, feature extraction, and object detection.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/uvl2no/scanning
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Offers hands on labs and interactive materials for deeper understanding
Develops skills highly relevant to industry, specifically using Cloud Vision API and Cloud Video Intelligence
Taught by Google Cloud Training, recognized for their expertise in cloud computing
Course content tailored for learners with experience in content processing and cloud computing
Prerequisites required for optimal learning
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