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.

Traffic lights

Read about what's good

what should give you pause

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

Reviews summary

Practical introduction to azure computer vision

According to students, this course provides an excellent introduction to Microsoft Azure's Computer Vision services, with many finding the labs incredibly helpful and the demos fantastic for solidifying understanding. Learners frequently highlight the clear and concise explanations from the instructor, making complex topics accessible. The course is considered perfectly aligned with the AI-900 curriculum, proving to be an effective stepping stone for certification preparation. While it offers a strong foundational understanding, some advanced learners might find the coverage on certain topics, like Custom Vision, to be a bit superficial or feel that it lacks a deeper dive for experienced users. It's best suited for those new to Azure AI.

Ideal for newcomers, but may be too basic for experienced learners.

"Good for beginners, but experienced users might find it too basic."

"It felt more like a guided tour... not enough for an AI engineer role."

"The course is okay for a very basic intro. I felt it was too surface-level for someone with a bit of programming background."

The instructor's explanations are clear, concise, and easy to follow.

"The instructor's explanations were clear and concise, making complex topics easy to grasp."

"Excellent course, clear and practical. The instructor was engaging..."

"The explanations were mostly clear, and the course is well-structured and easy to follow."

Labs and demos effectively reinforce concepts and provide practical experience.

"The labs were incredibly helpful, allowing me to apply concepts immediately."

"Absolutely loved the hands-on approach! The demos were fantastic and truly cemented my understanding."

"The practical exercises were key to understanding and applying the concepts."

Provides a strong foundational understanding of Azure Computer Vision.

"This course is an excellent introduction to Azure's Computer Vision services."

"I gained a good understanding of Azure's Computer Vision APIs."

"It's perfectly aligned with the AI-900 curriculum, making certification prep much smoother."

Some past issues with lab setup or outdated materials were noted.

"Some of the lab environments were a bit finicky to set up, which wasted some time."

"One minor issue was some outdated screenshots in the older modules, but nothing major."

"I found the course good, though some parts could use an update for current Azure UI."

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 Computer Vision in Microsoft Azure with these activities:

Read "Artificial Intelligence for Dummies"

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This book provides a comprehensive overview of AI, which will help you understand the concepts covered in this course.

View Artificial Intelligence For Dummies (For... on Amazon

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Read the book
Take notes on the key concepts

Review Azure fundamentals

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This activity will help you refresh your knowledge of Azure fundamentals, which will be helpful for understanding the concepts covered in this course.

Browse courses on Azure Fundamentals

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Review the Microsoft Azure documentation on fundamentals
Take a practice quiz on Azure fundamentals

Find a mentor who works in the field of AI

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This activity will help you connect with someone who can provide guidance and support as you learn about AI.

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Identify potential mentors who work in the field of AI
Reach out to your potential mentors and introduce yourself

Six other activities

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Join a study group for this course

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This activity will help you connect with other students in this course and learn from each other.

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Find a study group for this course
Attend study group meetings regularly

Complete coding exercises on Azure

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Engaging in coding exercises will help you solidify your understanding of the concepts covered in the course and enhance your programming skills.

Browse courses on Computer Vision

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Access the Azure Cognitive Services documentation or tutorials.
Review the code samples and explanations.
Write and test your own code using the Computer Vision API.

Complete the Microsoft Azure Computer Vision tutorial

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This activity will help you learn how to use the Computer Vision service to analyze images, which is a key skill for this course.

Browse courses on Computer Vision

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Follow the steps in the Microsoft Azure Computer Vision tutorial
Experiment with the Computer Vision service on your own images

Attend an Azure AI workshop

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This activity will help you learn more about Azure AI and how to use it to solve real-world problems.

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Find an Azure AI workshop to attend
Register for the workshop
Attend the workshop

Complete the Azure AI Fundamentals practice exam

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This activity will help you prepare for the Azure AI Fundamentals certification exam, which is a valuable credential for this course.

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Take the Azure AI Fundamentals practice exam
Review your results and identify areas for improvement

Create a presentation on a Computer Vision project

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This activity will help you demonstrate your understanding of Computer Vision and how it can be used to solve real-world problems.

Browse courses on Computer Vision

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Choose a Computer Vision project to work on
Develop a plan for your project
Create a presentation on your project

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.

See salaries and explore the career path for Computer Vision Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Product Manager

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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