Computer Vision in Microsoft Azure from Coursera

In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images.

This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the third course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them.

This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.

What's inside

Syllabus

Analyze and Classify Images with the Computer Vision Service

The Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications. In this module, you'll explore some of its capabilities as you learn how to use the Computer Vision service to analyze images.

Detect objects in images with the Custom Vision service

Image classification is a common workload in artificial intelligence (AI) applications. In this module, you will learn how to harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.

Analyze Faces, Text, and Receipts with Azure AI

Face detection, analysis, and recognition is an important capability for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications. Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text. Processing invoices and receipts is a common task in many business scenarios. Increasingly, organizations are turning to artificial intelligence (AI) to automate data extraction from scanned receipts. In this module, you will learn how you can use a mix of these services in Microsoft Azure to solve problems.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Constructs a strong foundation for beginners in computer vision

Provides hands-on experience with Microsoft Azure's Computer Vision service

Prepares learners for the Microsoft Azure AI Fundamentals certification exam (AI-900)

Suitable for individuals with both technical and non-technical backgrounds

Career center

Learners who complete Computer Vision in Microsoft Azure will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers develop and implement computer vision solutions using artificial intelligence (AI) and machine learning (ML) techniques. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of applications, such as image classification, object detection, and facial recognition.

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Data Scientist

Data Scientists use AI and ML to extract insights from data. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of data science projects, such as image classification, object detection, and facial recognition.

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Machine Learning Engineer

Machine Learning Engineers develop and implement ML models. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of ML projects, such as image classification, object detection, and facial recognition.

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Software Engineer

Software Engineers design, develop, and implement software applications. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of software development projects, such as image processing, object detection, and facial recognition.

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Web Developer

Web Developers design and develop websites and web applications. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of web development projects, such as image galleries, object detection, and facial recognition.

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Product Manager

Product Managers are responsible for the development and launch of new products. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of product management tasks, such as product planning, feature development, and marketing.

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Business Analyst

Business Analysts help organizations improve their business processes. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of business analysis tasks, such as process improvement, data analysis, and reporting.

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Marketing Manager

Marketing Managers are responsible for developing and implementing marketing campaigns. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of marketing tasks, such as market research, campaign development, and customer segmentation.

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Sales Manager

Sales Managers are responsible for leading and motivating sales teams. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of sales tasks, such as lead generation, customer relationship management, and sales forecasting.

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Customer Success Manager

Customer Success Managers are responsible for helping customers achieve success with a company's products or services. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of customer success tasks, such as onboarding, training, and support.

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Operations Manager

Operations Managers are responsible for the day-to-day operations of a business. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of operations tasks, such as process improvement, inventory management, and quality control.

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Project Manager

Project Managers are responsible for planning, executing, and closing projects. This course can help you build a foundation in computer vision by teaching you how to use Microsoft Azure's Computer Vision cognitive service. You'll learn how to analyze images, detect objects, and recognize faces. This knowledge can be applied to a variety of project management tasks, such as project planning, risk management, and stakeholder management.

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Financial Analyst

Financial Analysts are responsible for analyzing financial data and providing recommendations to investors. This course may be useful if you are interested in using computer vision to analyze financial data. For example, you could use computer vision to identify trends in stock prices or to detect fraud.

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Human Resources Manager

Human Resources Managers are responsible for managing the human resources of an organization. This course may be useful if you are interested in using computer vision to automate HR processes. For example, you could use computer vision to screen job applications or to conduct employee performance reviews.

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Legal Assistant

Legal Assistants provide administrative and legal support to lawyers. This course may be useful if you are interested in using computer vision to automate legal processes. For example, you could use computer vision to analyze legal documents or to conduct legal research.

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