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Andy Butland
The Custom Vision Service is a machine learning algorithm, provided as a service, supporting image classification for the subject of your choice. This course will show you how to train a model and to integrate it into a variety of applications.
Read more
The Custom Vision Service is a machine learning algorithm, provided as a service, supporting image classification for the subject of your choice. This course will show you how to train a model and to integrate it into a variety of applications.
Read more
The Custom Vision Service is a machine learning algorithm, provided as a service, supporting image classification for the subject of your choice. This course will show you how to train a model and to integrate it into a variety of applications.
The Microsoft Cognitive Services, hosted in Azure, provides a range of APIs that support developers in integrating artificial intelligence (AI) features within their applications. In this course, Microsoft Azure Cognitive Services: Custom Vision API, you will gain the ability to work with the Custom Vision Service, understand its benefits and limitations, create, train and improve an image classification model, and work with it within a range of applications. First, you will learn about the problem of image classification that the Custom Vision Service is designed to solve, and how you can create a model for image recognition dedicated to your subject of interest. Next, you will discover via the service APIs how you can integrate image prediction and model training functionality into your own web applications. Finally, you will explore how to export the model for use in offline contexts, such as within a desktop application or embedded in a mobile app. When you are finished with this course, you will have the skills and knowledge of working with the Custom Vision Service needed to develop and use your own classification models to provide image recognition.
Register for this course and see more details by visiting:
OpenCourser.com/course/wfg9pd/microsoft
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What's inside
Syllabus
Course Overview
Introducing the Custom Vision Service
Building and Training a Custom Vision Service Model
Working with the Custom Vision Service Prediction API
Read more
Syllabus
Course Overview
Introducing the Custom Vision Service
Building and Training a Custom Vision Service Model
Working with the Custom Vision Service Prediction API
Read more
Working with the Custom Vision Service Training API
Using a Custom Vision Service Model Offline
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a practical approach to training and deploying image classification models using the Custom Vision Service
Step-by-step guidance on building, training, and integrating a model into applications
Covers both API integration and offline model deployment, catering to various use cases
Suitable for beginners with no prior experience in image classification or machine learning
Lacks real-world industry examples or case studies
May require additional resources for understanding underlying machine learning concepts
Save this course
Save Microsoft Azure Cognitive Services: Custom Vision API 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 Microsoft Azure Cognitive Services: Custom Vision API with these
activities:
Review image processing fundamentals
Show steps
Build a strong foundation in image processing concepts to enhance your understanding of the course material.
Browse courses on
Image Processing
Show steps
-
Read introductory articles or tutorials on image processing
-
Revisit basic concepts like image representation, filtering, and transformations
Organize and review course notes and online resources
Show steps
Enhance your understanding and recall by organizing and reviewing the materials covered in class and online.
Show steps
-
Gather notes, handouts, and online materials from the course
-
Organize the materials in a logical manner
Solve coding exercises related to image classification
Show steps
Sharpen your coding skills and solidify your understanding of image classification algorithms through targeted practice.
Browse courses on
Image Classification
Show steps
-
Find coding challenges or practice problems on platforms like LeetCode
-
Solve coding exercises that involve implementing image classification models
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on Custom Vision Service
Show steps
Deepen your understanding of the Custom Vision Service by following guided tutorials and experimenting with different scenarios.
Show steps
-
Find online tutorials or documentation provided by Microsoft
-
Work through the tutorials to create and train image classification models
Attend webinars or online meetups related to AI and image processing
Show steps
Connect with professionals in the field and stay abreast of the latest trends by attending industry events.
Browse courses on
AI
Show steps
-
Identify relevant webinars or online meetups
-
Attend the events and actively participate in discussions
Develop a sample application using Custom Vision Service
Show steps
Apply your knowledge by building a practical application that demonstrates your proficiency in using the Custom Vision Service.
Show steps
-
Choose a specific problem or scenario to address
-
Design and implement the application using the Custom Vision Service APIs
Participate in hackathons or Kaggle competitions related to image classification
Show steps
Challenge yourself and showcase your skills by participating in competitions that focus on image classification tasks.
Browse courses on
Image Classification
Show steps
-
Identify suitable hackathons or Kaggle competitions
-
Form a team or work individually on a project
Review image processing fundamentals
Show steps
Build a strong foundation in image processing concepts to enhance your understanding of the course material.
Browse courses on
Image Processing
Show steps
Show steps
Show steps
- Read introductory articles or tutorials on image processing
- Revisit basic concepts like image representation, filtering, and transformations
Organize and review course notes and online resources
Show steps
Enhance your understanding and recall by organizing and reviewing the materials covered in class and online.
Show steps
Show steps
Show steps
- Gather notes, handouts, and online materials from the course
- Organize the materials in a logical manner
Solve coding exercises related to image classification
Show steps
Sharpen your coding skills and solidify your understanding of image classification algorithms through targeted practice.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Find coding challenges or practice problems on platforms like LeetCode
- Solve coding exercises that involve implementing image classification models
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on Custom Vision Service
Show steps
Deepen your understanding of the Custom Vision Service by following guided tutorials and experimenting with different scenarios.
Show steps
Show steps
Show steps
- Find online tutorials or documentation provided by Microsoft
- Work through the tutorials to create and train image classification models
Attend webinars or online meetups related to AI and image processing
Show steps
Connect with professionals in the field and stay abreast of the latest trends by attending industry events.
Browse courses on
AI
Show steps
Show steps
Show steps
- Identify relevant webinars or online meetups
- Attend the events and actively participate in discussions
Develop a sample application using Custom Vision Service
Show steps
Apply your knowledge by building a practical application that demonstrates your proficiency in using the Custom Vision Service.
Show steps
Show steps
Show steps
- Choose a specific problem or scenario to address
- Design and implement the application using the Custom Vision Service APIs
Participate in hackathons or Kaggle competitions related to image classification
Show steps
Challenge yourself and showcase your skills by participating in competitions that focus on image classification tasks.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Identify suitable hackathons or Kaggle competitions
- Form a team or work individually on a project
Career center
Learners who complete Microsoft Azure Cognitive Services: Custom Vision API will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
In this fast paced and dynamic field, Computer Vision Engineers are in high demand, as there is a need to develop computer vision solutions to address a wide range of problems in various industries.The Microsoft Azure Cognitive Services: Custom Vision API course may be useful, since you will gain the ability to develop and use your own classification models to provide image recognition, which is core to the field. Specifically, this course will show you how to train a model and to integrate it into a variety of applications. This course fits well with this career path and will help you build a solid foundation.
Robotics Engineer
Robotics Engineer
Robotics Engineers are responsible for researching, designing, and building robots. They also work on the development of new technologies for use in robotics. Robotics engineers who want to integrate image processing capabilities into their work may benefit from taking this course. Many modern robots are equipped with computer vision systems to enhance their perception of the environment. This course can play an important role in your efforts to break into this field.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Data Scientists who work with image data or who wish to explore this field will benefit from this course. The Microsoft Azure Cognitive Services: Custom Vision API course will help you develop the skills needed to create, train, and improve image classification models, which is a valuable skill for data scientists.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and implementing machine learning models and algorithms. A foundational knowledge of image processing techniques, including image classification, is necessary for this role. The Microsoft Azure Cognitive Services: Custom Vision API course can benefit Machine Learning Engineers looking to specialize in this area. Through this course, you will learn how to work with the Custom Vision Service and understand its benefits and limitations.
Software Engineer
Software Engineer
Software Engineers apply the principles of computer science and software engineering to the design, development, maintenance, testing, and evaluation of computer software. The course on Microsoft Azure Cognitive Services: Custom Vision API would be particularly helpful for software engineers who want to specialize in developing computer vision applications. You will learn the basics of image classification, as well as how to build and deploy custom vision models.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers combine expertise in computer science, mathematics, and engineering to design, develop, and implement AI systems. An understanding of computer vision is necessary to specialize in this field. The Microsoft Azure Cognitive Services: Custom Vision API course is a great fit for those looking to become AI Engineers with a focus on computer vision. Through this course, you will learn how to build, train, and deploy custom image classification models.
Computer Scientist
Computer Scientist
Computer Scientists conduct research to advance the science and technology of computers and computer systems. Computer Scientists who specialize in artificial intelligence or computer vision would likely find the Microsoft Azure Cognitive Services: Custom Vision API course helpful. The course covers the basics of image classification and how to build and deploy custom vision models.
Data Analyst
Data Analyst
Data Analysts collect, process, and analyze data to find meaningful patterns. Data Analysts who work with image data or who want to gain experience in this field may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will help you develop the skills needed to create, train, and improve image classification models, which is a valuable asset to Data Analysts.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure and systems that store and process data. Data Engineers who want to specialize in working with image data may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will help you develop the skills needed to create, train, and improve image classification models, which is a valuable skill for Data Engineers working with image data.
Web Developer
Web Developer
Web Developers create and maintain websites. Web Developers who want to integrate image classification capabilities into their websites may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will teach you how to use the Custom Vision Service to create, train, and deploy custom image classification models, which you can then integrate into your websites.
Product Manager
Product Manager
Product Managers are responsible for overseeing the development and launch of new products. Product Managers who work on products that incorporate image classification or computer vision may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will help you understand the basics of image classification and how to work with the Custom Vision Service, which can be valuable knowledge for Product Managers working in this field.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. Business Analysts who work with companies that use computer vision or image classification may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will help you understand the basics of image classification and how to work with the Custom Vision Service, which can be valuable knowledge for Business Analysts working in this field.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. Project Managers who work on projects that involve image classification or computer vision may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will help you understand the basics of image classification and how to work with the Custom Vision Service, which can be valuable knowledge for Project Managers working in this field.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. Technical Writers who specialize in writing documentation for computer vision or image classification may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will help you understand the basics of image classification and how to work with the Custom Vision Service, which can be valuable knowledge for Technical Writers in this field.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software and other products to ensure that they meet quality standards. Quality Assurance Analysts who work on products that incorporate image classification or computer vision may benefit from taking the Microsoft Azure Cognitive Services: Custom Vision API course. This course will help you understand the basics of image classification and how to work with the Custom Vision Service, which can be valuable knowledge for Quality Assurance Analysts working in this field.
For more career information including salaries, visit:
OpenCourser.com/course/wfg9pd/microsoft
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
Microsoft Azure Cognitive Services: Custom Vision API.
Save
Provides a comprehensive overview of computer vision algorithms and applications, covering topics such as image formation, feature extraction, object recognition, and image segmentation. It valuable resource for anyone interested in learning about the foundations of computer vision.
Provides a comprehensive overview of computer vision, covering topics such as image formation, feature extraction, object recognition, and image segmentation. It valuable resource for anyone interested in learning about the foundations of computer vision.
Provides a comprehensive overview of deep learning with Python, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning about the latest advances in deep learning.
Save
Provides a comprehensive overview 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 about the latest advances in deep learning.
Provides a comprehensive overview of pattern recognition and machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone interested in learning about the latest advances in machine learning for computer vision.
Provides a comprehensive overview of statistical learning, covering topics such as linear regression, logistic regression, and decision trees. It valuable resource for anyone interested in learning about the latest advances in statistical learning.
Save
Provides a practical introduction to data mining, covering topics such as data preprocessing, feature selection, and model evaluation. It valuable resource for anyone interested in learning about the latest advances in data mining.
Provides a practical introduction to machine learning with R, covering topics such as data preprocessing, feature engineering, and model training. It valuable resource for anyone interested in learning about the latest advances in machine learning.
Provides a practical introduction to machine learning with Python, covering topics such as data preprocessing, feature engineering, and model training. It valuable resource for anyone interested in learning about the latest advances in machine learning.
Provides a practical introduction to machine learning with Python, covering topics such as data preprocessing, feature engineering, and model training. It valuable resource for anyone interested in learning about the latest advances in machine learning.
Provides a practical introduction to machine learning for hackers, covering topics such as data preprocessing, feature engineering, and model training. It valuable resource for anyone interested in learning about the latest advances in machine learning.
Provides a comprehensive overview of artificial intelligence, covering topics such as machine learning, natural language processing, and computer vision. It valuable resource for anyone interested in learning about the latest advances in artificial intelligence.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wfg9pd/microsoft
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Time
92 hours
Level
Introductory
Via
Pluralsight
Instructor
Andy Butland
Language
English
Good to know
Provides a practical approach to training and deploying image classification models using the Custom Vision Service
Step-by-step guidance on building, training, and integrating a model into applications
Covers both API integration and offline model deployment, catering to various use cases
Suitable for beginners with no prior experience in image classification or machine learning
Lacks real-world industry examples or case studies
May require additional resources for understanding underlying machine learning concepts
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