Microsoft Azure Cognitive Services: Custom Vision API from Pluralsight

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.

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

Traffic lights

Read about what's good

what should give you pause

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

Reviews summary

Practical guide to azure custom vision api

According to learners, this course provides an excellent and practical introduction to the Azure Custom Vision API. Many found the hands-on labs and demonstrations invaluable for understanding how to train and integrate AI models into applications, including web and mobile. The instructor's explanations are consistently praised for clarity and engagement. While it serves as a strong foundation, some students noted the pace can be fast for beginners or those new to Azure. A few also mentioned that Azure portal UI changes can occasionally make following the demos challenging, but this doesn't detract significantly from the core learning experience, which remains highly relevant.

Some learners seek more advanced scenarios or features.

"Could use more advanced scenarios."

"I would love to see an updated version that covers new features or more complex use cases."

"The course provides a good start, but I wished for deeper dives into specific optimization techniques."

Provides a comprehensive foundation for Custom Vision.

"Very comprehensive. Covered the APIs well and showed different application integrations."

"Perfect for getting started with Custom Vision. I learned a lot about training and deploying models."

"This course gave me a solid understanding of the Custom Vision Service's capabilities."

Instructor explains complex topics clearly and engagingly.

"Instructor explained complex topics clearly. His voice and pace are very engaging."

"The explanations were easy to follow and made understanding the service straightforward."

"I appreciated the instructor's ability to simplify difficult concepts."

Offers valuable practical experience with API integration.

"The hands-on labs were invaluable for understanding the API. I immediately applied what I learned to my project."

"I found the practical examples and demos to be extremely helpful in grasping the concepts."

"Learning how to integrate image prediction and training into my own web applications was very beneficial."

Minor difficulties due to evolving Azure portal interface.

"My only minor gripe is sometimes the Azure portal UI changes, making following exactly difficult."

"Some parts felt a little outdated with recent Azure UI changes. Labs were sometimes hard to follow."

"I encountered slight discrepancies between the course demos and the current Azure interface."

Can be fast-paced for those new to Azure concepts.

"A bit fast-paced at times if you're new to Azure, but manageable."

"I felt it moved too quickly. Assumes some prior Azure knowledge."

"I needed to do some extra reading as I was new to Azure services."

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

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Build a strong foundation in image processing concepts to enhance your understanding of the course material.

Browse courses on Image Processing

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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

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Enhance your understanding and recall by organizing and reviewing the materials covered in class and online.

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Gather notes, handouts, and online materials from the course
Organize the materials in a logical manner

Solve coding exercises related to image classification

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Sharpen your coding skills and solidify your understanding of image classification algorithms through targeted practice.

Browse courses on Image Classification

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Find coding challenges or practice problems on platforms like LeetCode
Solve coding exercises that involve implementing image classification models

Four other activities

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Follow tutorials on Custom Vision Service

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Deepen your understanding of the Custom Vision Service by following guided tutorials and experimenting with different scenarios.

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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

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Connect with professionals in the field and stay abreast of the latest trends by attending industry events.

Browse courses on AI

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Identify relevant webinars or online meetups
Attend the events and actively participate in discussions

Develop a sample application using Custom Vision Service

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Apply your knowledge by building a practical application that demonstrates your proficiency in using the Custom Vision Service.

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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

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Challenge yourself and showcase your skills by participating in competitions that focus on image classification tasks.

Browse courses on Image Classification

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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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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