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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.

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What's inside

Syllabus

Awwvision: Cloud Vision API from a Kubernetes Cluster

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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Awwvision: Cloud Vision API from a Kubernetes Cluster with these activities:
Find a Mentor in the Field
Connects you with experienced professionals who can provide guidance and support for your learning journey.
Browse courses on Mentorship
Show steps
  • Attend industry events and meetups.
  • Reach out to professionals on LinkedIn or other networking platforms.
  • Ask your friends and colleagues for referrals.
  • Consider joining online mentorship platforms.
Kubernetes Engine Basics
Brings you up-to-speed with the fundamentals of Kubernetes Engine, giving you a strong foundation for this course.
Browse courses on Kubernetes Engine
Show steps
  • Read the Kubernetes Engine documentation.
  • Create a Kubernetes Engine cluster.
  • Deploy a sample application to the cluster.
Attend Cloud Computing Meetups
Provides opportunities to connect with other professionals in the field and learn about the latest trends.
Browse courses on Networking
Show steps
  • Find meetups in your area or online.
  • Attend meetups regularly.
  • Network with other attendees.
  • Learn about the latest trends in cloud computing.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow the Awwvision Tutorial
Provides a hands-on experience with the core concepts and technologies covered in this course.
Show steps
  • Set up your Google Cloud project.
  • Create a Kubernetes cluster.
  • Deploy the Awwvision application.
Configure the Cloud Vision API
Configuring the Cloud Vision API for use in the app will strengthen your understanding of API integrations.
Browse courses on Cloud Vision API
Show steps
  • Create a Cloud Vision API key
  • Set up the API key in the app's configuration
Deploy the Awwvision App
Deploying the Awwvision app will solidify your knowledge on deploying web applications to the cloud.
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Show steps
  • Follow the instructions in the course materials for deploying the app
Write a Blog Post About Vision API
Helps you solidify your understanding of the Vision API by explaining it to others.
Show steps
  • Choose a topic related to the Vision API.
  • Research the topic and gather information.
  • Write the blog post.
  • Publish the blog post.
Write a Blog Post Explaining the Awwvision App
Writing a blog post about the Awwvision app will help you solidify your understanding of the concepts covered in the course and improve your communication skills.
Show steps
  • Choose a topic for your blog post
  • Write an outline for your blog post
  • Write the content for your blog post
  • Edit and proofread your blog post
  • Publish your blog post
Contribute to the Awwvision Project
Allows you to contribute to the open-source community while deepening your understanding of the course material.
Browse courses on Open Source
Show steps
  • Find an issue or feature that you can contribute to.
  • Fork the repository and create a branch for your changes.
  • Make your changes and test them.
  • Submit a pull request and get your changes merged.
Image Classification Project
Gives you the opportunity to apply your skills and knowledge to a real-world problem.
Browse courses on Image Classification
Show steps
  • Gather a dataset of images.
  • Train a machine learning model to classify the images.
  • Build a web application that uses the model to classify images.
Design a Cloud-Based Image Classification System
Challenges you to apply your knowledge to design a real-world system.
Browse courses on System Design
Show steps
  • Define the requirements for the system.
  • Research and select appropriate cloud services.
  • Design the system architecture.
  • Create a prototype or proof-of-concept.

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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.
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 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.

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