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Video Intelligence
Qwik Start
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab use the Google Cloud Video intelligence app to extract metadata from a sample video file. Watch the short video Google Cloud Video Intelligence - Search every moment of every video in your catalog.
Register for this course and see more details by visiting:
OpenCourser.com/course/5jaoyp/video
What's inside
Syllabus
Video Intelligence: Qwik Start
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to extract metadata from videos, which is useful for video cataloging and analysis
Involves hands-on labs, which provide practical experience with video intelligence tools
Taught by Google Cloud Training, a recognized provider of cloud computing training
Part of a series of Google Cloud Training courses, offering a comprehensive learning path in cloud computing
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Activities
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Video Intelligence: Qwik Start.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Video Intelligence: Qwik Start will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses data to build models and algorithms that can solve business problems. This course may be useful for a Data Scientist who wants to learn how to use video intelligence to extract metadata from videos. This metadata can then be used to train models and algorithms that can more accurately predict outcomes.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models and algorithms. This course may be useful for a Machine Learning Engineer who wants to learn how to use video intelligence to extract metadata from videos. This metadata can then be used to train models and algorithms that can more accurately predict outcomes.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful for a Software Engineer who wants to learn how to use video intelligence to improve the performance and reliability of software systems. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the design and implementation of software systems.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to detect trends and patterns. This course may be useful for a Data Analyst who wants to learn how to use video intelligence to extract metadata from videos. This metadata can then be used to improve the accuracy of data analysis and to identify new insights.
Web Developer
Web Developer
A Web Developer designs, develops, and maintains websites. This course may be useful for a Web Developer who wants to learn how to use video intelligence to improve the performance and reliability of websites. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the design and implementation of websites.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products and features. This course may be useful for a Product Manager who wants to learn how to use video intelligence to improve the user experience of products and features. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the design and functionality of products and features.
Data Engineer
Data Engineer
A Data Engineer designs, develops, and maintains data pipelines. This course may be useful for a Data Engineer who wants to learn how to use video intelligence to improve the performance and reliability of data pipelines. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the design and implementation of data pipelines.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be useful for a Technical Writer who wants to learn how to use video intelligence to improve the quality and effectiveness of technical documentation. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the organization, structure, and style of technical documentation.
UX Designer
UX Designer
A UX Designer is responsible for the design and usability of products and features. This course may be useful for a UX Designer who wants to learn how to use video intelligence to improve the user experience of products and features. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the design and functionality of products and features.
Research Scientist
Research Scientist
A Research Scientist conducts research in various scientific fields. This course may be useful for a Research Scientist who wants to learn how to use video intelligence to improve the accuracy and efficiency of scientific research. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the design and implementation of scientific research.
Data Science Manager
Data Science Manager
A Data Science Manager leads a team of data scientists and engineers to develop and implement data science solutions. This course may be useful for a Data Science Manager who wants to learn how to use video intelligence to improve the accuracy of data analysis and to identify new insights.
Video Producer
Video Producer
A Video Producer is responsible for the production of videos. This course may be useful for a Video Producer who wants to learn how to use video intelligence to improve the quality and effectiveness of videos. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the planning, production, and post-production of videos.
Machine Learning Scientist
Machine Learning Scientist
A Machine Learning Scientist develops and implements new machine learning algorithms and models. This course may be useful for a Machine Learning Scientist who wants to learn how to use video intelligence to improve the accuracy and efficiency of machine learning algorithms and models. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the design and implementation of machine learning algorithms and models.
Video Analyst
Video Analyst
A Video Analyst collects, analyzes, and interprets video data to detect trends and patterns. This course may be useful for a Video Analyst who wants to learn how to use video intelligence to extract metadata from videos. This metadata can then be used to improve the accuracy of video analysis and to identify new insights.
Video Quality Engineer
Video Quality Engineer
A Video Quality Engineer is responsible for the quality of videos. This course may be useful for a Video Quality Engineer who wants to learn how to use video intelligence to improve the quality of videos. This can be done by extracting metadata from videos to identify trends and patterns that can be used to improve the encoding, transmission, and playback of videos.
For more career information including salaries, visit:
OpenCourser.com/course/5jaoyp/video
Reading list
We've selected 13 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
Video Intelligence: Qwik Start.
Provides a practical introduction to deep learning for computer vision. It covers the essential concepts and techniques used in video intelligence, making it a useful resource for both beginners and experienced practitioners.
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Provides a comprehensive overview of machine learning algorithms and techniques used in computer vision. It valuable resource for understanding the theoretical foundations of video intelligence.
Provides a comprehensive overview of pattern recognition and machine learning algorithms. It valuable resource for understanding the theoretical foundations of video intelligence.
Provides a comprehensive overview of computer vision algorithms and applications. It valuable resource for understanding the fundamental concepts and techniques used in video intelligence.
Save
Provides a comprehensive overview of computer vision algorithms and applications. It valuable resource for understanding the fundamental concepts and techniques used in video intelligence.
Provides a comprehensive overview of the field of numerical optimization, covering topics such as unconstrained optimization, constrained optimization, and multiobjective optimization. It valuable resource for anyone interested in learning more about the fundamentals of numerical optimization.
Provides a comprehensive overview of the field of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone interested in learning more about the fundamentals of machine learning from a probabilistic perspective.
Save
Provides a comprehensive overview of the field of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning more about the fundamentals of deep learning.
Provides a comprehensive overview of the field of probabilistic graphical models, covering topics such as Bayesian networks, Markov random fields, and Kalman filters. It valuable resource for anyone interested in learning more about the fundamentals of probabilistic graphical models.
Provides a comprehensive overview of the field of information theory, inference, and learning algorithms, covering topics such as entropy, mutual information, and Bayesian inference. It valuable resource for anyone interested in learning more about the fundamentals of information theory, inference, and learning algorithms.
Provides a comprehensive overview of the field of convex optimization, covering topics such as linear programming, quadratic programming, and conic programming. It valuable resource for anyone interested in learning more about the fundamentals of convex optimization.
Provides a practical introduction to machine learning using the Scikit-Learn, Keras, and TensorFlow libraries. It covers topics such as data preprocessing, model selection, and evaluation. It valuable resource for anyone interested in learning more about machine learning.
Provides a practical introduction to deep learning using the Python programming language. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning more about deep learning using Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5jaoyp/video
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Effort
30 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches how to extract metadata from videos, which is useful for video cataloging and analysis
Involves hands-on labs, which provide practical experience with video intelligence tools
Taught by Google Cloud Training, a recognized provider of cloud computing training
Part of a series of Google Cloud Training courses, offering a comprehensive learning path in cloud computing
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