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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
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What's inside
Syllabus
Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Istio
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides learners with an edge in understanding groundbreaking topics, such as AutoML Vision, in machine learning
Teaches AutoML Vision, a tool highly relevant to the industry for training high-quality image recognition models with limited ML expertise
Develops a hands-on skill in training custom models to recognize different types of clouds using AutoML Vision
Builds a strong foundation for beginners in machine learning, providing learners with a solid understanding of how to leverage AutoML Vision
Offers a self-paced lab environment for learners to gain practical experience, reducing access barriers
Save this course
Save Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh to your list so you can find it easily later:
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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 Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh with these
activities:
Review cloud concepts
Show steps
Review basic cloud computing concepts to ensure a strong foundation for this course.
Browse courses on
Machine Learning
Show steps
-
Read articles or tutorials on cloud computing basics.
-
Create a free account with a cloud provider (e.g., Google Cloud, AWS).
-
Explore the cloud console and familiarize yourself with its features.
Complete the Google Cloud AutoML Vision Quickstart
Show steps
Enhance your practical skills and understanding of AutoML Vision by completing the official Google Cloud Quickstart.
Browse courses on
AutoML Vision
Show steps
-
Follow the steps in the Google Cloud AutoML Vision Quickstart documentation.
-
Train and deploy a basic image recognition model.
Identify potential mentors in the field of AutoML Vision
Show steps
Enrich your learning journey by connecting with experienced professionals in the field of AutoML Vision.
Browse courses on
AutoML Vision
Show steps
-
Attend industry events or conferences related to AutoML Vision.
-
Reach out to professionals on LinkedIn or other networking platforms.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a study group or online forum on AutoML Vision
Show steps
Expand your knowledge and connect with others interested in AutoML Vision by joining a study group or online forum.
Browse courses on
AutoML Vision
Show steps
-
Search for study groups or forums dedicated to AutoML Vision.
-
Actively participate in discussions and share your insights.
Build a simple image recognition model
Show steps
Develop a fundamental understanding of AutoML Vision by building a basic image recognition model.
Browse courses on
AutoML Vision
Show steps
-
Gather a dataset of images representing different types of clouds.
-
Import the dataset into AutoML Vision.
-
Train and evaluate an image recognition model using AutoML Vision.
-
Deploy the model and make predictions.
Curate a collection of resources on AutoML Vision
Show steps
Enhance your understanding and access to information on AutoML Vision by curating a collection of valuable resources.
Browse courses on
AutoML Vision
Show steps
-
Search for articles, tutorials, and other resources on AutoML Vision.
-
Organize and categorize the resources in a logical manner.
-
Share the collection with other learners or interested individuals.
Write a blog post on AutoML Vision
Show steps
Enhance your understanding of AutoML Vision and improve your communication skills by writing a blog post about it.
Browse courses on
AutoML Vision
Show steps
-
Research AutoML Vision and its capabilities.
-
Write a blog post explaining the benefits and use cases of AutoML Vision.
-
Share the blog post on social media or other platforms.
Create a presentation on AutoML Vision for a non-technical audience
Show steps
Deepen your understanding of AutoML Vision and enhance your presentation skills by creating a presentation for a non-technical audience.
Browse courses on
AutoML Vision
Show steps
-
Gather information and prepare the content of the presentation.
-
Design slides using visuals and clear explanations.
-
Practice delivering the presentation.
Participate in an AutoML Vision competition
Show steps
Challenge yourself and test your skills by participating in an AutoML Vision competition.
Browse courses on
AutoML Vision
Show steps
-
Find an appropriate AutoML Vision competition.
-
Gather a team and prepare your submission.
-
Participate in the competition and strive for a top ranking.
Review cloud concepts
Show steps
Review basic cloud computing concepts to ensure a strong foundation for this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Read articles or tutorials on cloud computing basics.
- Create a free account with a cloud provider (e.g., Google Cloud, AWS).
- Explore the cloud console and familiarize yourself with its features.
Complete the Google Cloud AutoML Vision Quickstart
Show steps
Enhance your practical skills and understanding of AutoML Vision by completing the official Google Cloud Quickstart.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Follow the steps in the Google Cloud AutoML Vision Quickstart documentation.
- Train and deploy a basic image recognition model.
Identify potential mentors in the field of AutoML Vision
Show steps
Enrich your learning journey by connecting with experienced professionals in the field of AutoML Vision.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Attend industry events or conferences related to AutoML Vision.
- Reach out to professionals on LinkedIn or other networking platforms.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a study group or online forum on AutoML Vision
Show steps
Expand your knowledge and connect with others interested in AutoML Vision by joining a study group or online forum.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Search for study groups or forums dedicated to AutoML Vision.
- Actively participate in discussions and share your insights.
Build a simple image recognition model
Show steps
Develop a fundamental understanding of AutoML Vision by building a basic image recognition model.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Gather a dataset of images representing different types of clouds.
- Import the dataset into AutoML Vision.
- Train and evaluate an image recognition model using AutoML Vision.
- Deploy the model and make predictions.
Curate a collection of resources on AutoML Vision
Show steps
Enhance your understanding and access to information on AutoML Vision by curating a collection of valuable resources.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Search for articles, tutorials, and other resources on AutoML Vision.
- Organize and categorize the resources in a logical manner.
- Share the collection with other learners or interested individuals.
Write a blog post on AutoML Vision
Show steps
Enhance your understanding of AutoML Vision and improve your communication skills by writing a blog post about it.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Research AutoML Vision and its capabilities.
- Write a blog post explaining the benefits and use cases of AutoML Vision.
- Share the blog post on social media or other platforms.
Create a presentation on AutoML Vision for a non-technical audience
Show steps
Deepen your understanding of AutoML Vision and enhance your presentation skills by creating a presentation for a non-technical audience.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Gather information and prepare the content of the presentation.
- Design slides using visuals and clear explanations.
- Practice delivering the presentation.
Participate in an AutoML Vision competition
Show steps
Challenge yourself and test your skills by participating in an AutoML Vision competition.
Browse courses on
AutoML Vision
Show steps
Show steps
Show steps
- Find an appropriate AutoML Vision competition.
- Gather a team and prepare your submission.
- Participate in the competition and strive for a top ranking.
Career center
Learners who complete Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
Artificial intelligence (AI) engineers are in charge of designing, creating, and deploying AI systems. They work to apply AI to real-world problems, such as developing self-driving cars, improving healthcare diagnostics, and automating customer service. This course can help you build the skills you need to become an AI engineer, including machine learning, cloud computing, and data engineering.
Machine Learning Engineer
Machine Learning Engineer
Machine learning engineers are responsible for developing and deploying machine learning models. They work to apply machine learning to real-world problems, such as developing self-driving cars, improving healthcare diagnostics, and automating customer service. This course can help you build the skills you need to become a machine learning engineer, including machine learning, cloud computing, and data engineering.
Software Engineer
Software Engineer
Software engineers play a vital role in the development and maintenance of software. They design, develop, test, and deploy software systems, and they work to ensure that these systems are reliable, efficient, and secure. This course can help you build the skills you need to become a software engineer, including software design, programming, and testing.
Security Analyst
Security Analyst
Security analysts are responsible for identifying and mitigating security risks. They work to protect organizations from cyberattacks and other security threats. This course can help you build the skills you need to become a security analyst, including security analysis, risk management, and incident response.
Data Analyst
Data Analyst
Data analysts are responsible for collecting, analyzing, and interpreting data. They work to extract insights from data and use these insights to inform decision-making. This course can help you build the skills you need to become a data analyst, including data analysis, statistics, and visualization.
Data Scientist
Data Scientist
Data scientists are responsible for collecting, analyzing, and interpreting data. They work to extract insights from data and use these insights to inform decision-making. This course can help you build the skills you need to become a data scientist, including data analysis, machine learning, and statistics.
Cloud Engineer
Cloud Engineer
Cloud engineers are responsible for designing, building, and managing cloud computing systems. They work to ensure that cloud systems are reliable, efficient, and secure. This course can help you build the skills you need to become a cloud engineer, including cloud computing, networking, and security.
DevOps Engineer
DevOps Engineer
DevOps engineers are responsible for bridging the gap between development and operations. They work to ensure that software is developed and deployed quickly and efficiently. This course can help you build the skills you need to become a DevOps engineer, including software development, operations, and cloud computing.
IT Manager
IT Manager
IT managers are responsible for planning, implementing, and managing IT systems. They work to ensure that IT systems are reliable, efficient, and secure. This course can help you build the skills you need to become an IT manager, including IT management, cloud computing, and security.
Consultant
Consultant
Consultants provide advice and guidance to organizations on a variety of topics. They work to help organizations improve their performance and achieve their goals. This course can help you build the skills you need to become a consultant, including problem-solving, communication, and business analysis.
Business Analyst
Business Analyst
Business analysts are responsible for analyzing business needs and developing solutions to meet those needs. They work to improve business processes and make organizations more efficient. This course can help you build the skills you need to become a business analyst, including business analysis, process improvement, and data analysis.
Product Manager
Product Manager
Product managers are responsible for managing the development and launch of new products. They work to ensure that products meet the needs of customers and are successful in the marketplace. This course can help you build the skills you need to become a product manager, including product development, marketing, and business.
Project Manager
Project Manager
Project managers are responsible for planning, executing, and closing projects. They work to ensure that projects are completed on time, within budget, and to the required quality. This course can help you build the skills you need to become a project manager, including project planning, execution, and closing.
Technical Writer
Technical Writer
Technical writers are responsible for writing and editing technical documentation. They work to create clear and concise documentation that can be easily understood by users. This course can help you build the skills you need to become a technical writer, including writing, editing, and documentation.
Research Scientist
Research Scientist
Research scientists are responsible for conducting research and developing new technologies. They work to push the boundaries of knowledge and develop new solutions to real-world problems. This course can help you build the skills you need to become a research scientist, including research methods, data analysis, and machine learning.
For more career information including salaries, visit:
OpenCourser.com/course/96qzlw/implementing
Reading list
We've selected seven 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
Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh.
Save
Provides a comprehensive overview of DevOps. It covers everything from the basics of DevOps to its advanced practices. It valuable resource for anyone who wants to learn more about DevOps and how to use it to improve the efficiency and reliability of their software delivery process.
Save
Provides a comprehensive overview of Kubernetes. It covers everything from the basics of Kubernetes to its advanced features. It valuable resource for anyone who wants to learn more about Kubernetes and how to use it to manage containerized applications.
Provides a comprehensive overview of the State of DevOps. It covers everything from the basics of DevOps to its advanced practices. It valuable resource for anyone who wants to learn more about DevOps and how to use it to improve the efficiency and reliability of their software delivery process.
Provides a practical guide to implementing canary releases with Kubernetes. It covers everything from setting up the infrastructure to monitoring the results. It valuable resource for anyone who wants to learn more about canary releases and how to use them to improve the reliability of their deployments.
Save
Provides a novel-style introduction to DevOps. It follows the story of a fictional IT team that is struggling to meet the demands of their business. The team learns about DevOps and how to use it to improve their performance. It valuable resource for anyone who wants to learn more about DevOps and how to use it to improve the efficiency and reliability of their software delivery process.
Save
Provides a novel-style introduction to DevOps. It follows the story of a fictional IT team that is struggling to meet the demands of their business. The team learns about DevOps and how to use it to improve their performance. It valuable resource for anyone who wants to learn more about DevOps and how to use it to improve the efficiency and reliability of their software delivery process.
Provides a practical guide to implementing continuous delivery with Kubernetes. It covers everything from setting up the infrastructure to monitoring the results. It valuable resource for anyone who wants to learn more about continuous delivery and how to use it to improve the efficiency and reliability of their software delivery process.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/96qzlw/implementing
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides learners with an edge in understanding groundbreaking topics, such as AutoML Vision, in machine learning
Teaches AutoML Vision, a tool highly relevant to the industry for training high-quality image recognition models with limited ML expertise
Develops a hands-on skill in training custom models to recognize different types of clouds using AutoML Vision
Builds a strong foundation for beginners in machine learning, providing learners with a solid understanding of how to leverage AutoML Vision
Offers a self-paced lab environment for learners to gain practical experience, reducing access barriers
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