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Awwvision
Cloud Vision API from a Kubernetes Cluster
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.
Register for this course and see more details by visiting:
OpenCourser.com/course/iqokta/awwvision
What's inside
Syllabus
Awwvision: Cloud Vision API from a Kubernetes Cluster
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Expands on learners existing knowledge in cloud infrastructure and web development
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing
Involves extensive hands-on learning, which aids in improving practical skills
Can serve as a complement to formal education in computer science or related fields
May require learners to have some experience in cloud computing concepts
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Activities
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Awwvision: Cloud Vision API from a Kubernetes Cluster.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Awwvision: Cloud Vision API from a Kubernetes Cluster will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
A Software Engineer develops software applications and systems. This course can help build a foundation for working as a Software Engineer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for designing and implementing software solutions that can extract insights from visual data.
Computer Vision Engineer
Computer Vision Engineer
A Computer Vision Engineer develops and implements computer vision algorithms and systems. This course can help build a foundation for working as a Computer Vision Engineer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for designing and implementing computer vision solutions that can extract insights from visual data.
Data Scientist
Data Scientist
A Data Scientist analyzes data to extract insights and build predictive models. This course can help build a foundation for working as a Data Scientist by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for building models that can extract insights from visual data.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This course can help build a foundation for working as a Machine Learning Engineer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for building and deploying machine learning models that can extract insights from visual data.
DevOps Engineer
DevOps Engineer
A DevOps Engineer automates and streamlines the software development and deployment process. This course can help build a foundation for working as a DevOps Engineer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for automating and streamlining the deployment of software solutions that can extract insights from visual data.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, deploys, and manages cloud computing systems. This course can help build a foundation for working as a Cloud Engineer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for designing and implementing cloud solutions that can extract insights from visual data.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. This course can help build a foundation for working as a Data Analyst by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for identifying trends and patterns in visual data.
Product Manager
Product Manager
A Product Manager develops and manages software products. This course can help build a foundation for working as a Product Manager by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for understanding the technical feasibility and market potential of software products that can extract insights from visual data.
UX Designer
UX Designer
A UX Designer designs the user experience of software products. This course can help build a foundation for working as a UX Designer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for understanding how users interact with visual data and designing user interfaces that are easy to use and understand.
Technical Writer
Technical Writer
A Technical Writer writes technical documentation. This course can help build a foundation for working as a Technical Writer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for writing technical documentation for software solutions that can extract insights from visual data.
Project Manager
Project Manager
A Project Manager plans and executes projects. This course can help build a foundation for working as a Project Manager by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for planning and executing projects that involve the development and deployment of software solutions that can extract insights from visual data.
Business Analyst
Business Analyst
A Business Analyst analyzes business requirements and develops solutions. This course can help build a foundation for working as a Business Analyst by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for understanding the business value of software solutions that can extract insights from visual data.
Sales Engineer
Sales Engineer
A Sales Engineer sells technical products and services. This course can help build a foundation for working as a Sales Engineer by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for understanding the technical capabilities and benefits of software solutions that can extract insights from visual data.
Customer Success Manager
Customer Success Manager
A Customer Success Manager ensures that customers are successful with a company's products and services. This course can help build a foundation for working as a Customer Success Manager by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for understanding the customer's needs and ensuring that they are successful with software solutions that can extract insights from visual data.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns. This course can help build a foundation for working as a Marketing Manager by developing an understanding of how to use Kubernetes and the Cloud Vision API to process and analyze image data. This knowledge is essential for understanding the target market and developing marketing campaigns for software solutions that can extract insights from visual data.
For more career information including salaries, visit:
OpenCourser.com/course/iqokta/awwvision
Reading list
We've selected ten 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
Awwvision: Cloud Vision API from a Kubernetes Cluster.
Save
Provides a comprehensive overview of deep learning.
Provides a comprehensive overview of machine learning from a Bayesian and optimization perspective.
Provides an up-to-date introduction to computer vision and deep learning, using Python and the popular PyTorch framework.
Provides a practical introduction to deep learning using Python and the Keras library.
Provides a practical introduction to machine learning using R.
Provides a comprehensive introduction to reinforcement learning.
Provides a practical introduction to machine learning using Python and Scikit-Learn.
Provides a comprehensive overview of machine learning for predictive data analytics.
Provides a concise introduction to machine learning, covering the most important concepts and algorithms.
Provides a gentle introduction to machine learning for those with no prior experience in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/iqokta/awwvision
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Effort
45 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Expands on learners existing knowledge in cloud infrastructure and web development
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing
Involves extensive hands-on learning, which aids in improving practical skills
Can serve as a complement to formal education in computer science or related fields
May require learners to have some experience in cloud computing concepts
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