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Clint Bonnett
In this course, Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure, you’ll learn to analyze images, detect faces, and more. First, you’ll explore image analysis. Next, you’ll discover how we can use AI to detect and analyze faces. Finally, you’ll learn how to read text from documents and images. When you’re finished with this course, you’ll have the skills and knowledge of computer vision tasks needed for the AI-900 certification.
Register for this course and see more details by visiting:
OpenCourser.com/course/jsbs0j/microsoft
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Explores computer vision tasks that are highly relevant to the AI-900 certification
Taught by Clint Bonnett, who is recognized for their work in computer vision technology
Develops skills and knowledge of computer vision tasks needed for the AI-900 certification
Teaches image analysis, face detection and analysis, and text recognition from documents and images
Examines computer vision, which is standard in the technology industry
Save this course
Save Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure 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 AI Fundamentals (AI-900): Computer Vision Workloads on Azure with these
activities:
Explore the Azure portal for managing Computer Vision resources
Show steps
Familiarize yourself with the Azure portal to navigate and manage Computer Vision resources effectively.
Browse courses on
Azure Portal
Show steps
-
Sign in to the Azure portal
-
Create a new Computer Vision API resource
-
Configure and manage your resource settings
Attend an Azure Meetup to connect with experts and enthusiasts
Show steps
Expand your network and gain insights from industry professionals and fellow learners.
Browse courses on
Computer Vision
Show steps
-
Find an Azure Meetup group in your area
-
Register for the event
-
Attend the meetup and participate in discussions
Walkthrough: Create a Computer Vision API project
Show steps
Review the steps involved in setting up a Computer Vision API project to gain hands-on experience with the platform.
Show steps
-
Set up an Azure subscription and create a project
-
Create a Computer Vision API resource
-
Obtain your API key and endpoint
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice image analysis with Python code
Show steps
Deepen your understanding of image analysis techniques by implementing them in Python code.
Browse courses on
Image Analysis
Show steps
-
Install the necessary Python libraries
-
Load an image into your Python script
-
Perform image analysis using the Computer Vision API
Demo Custom Vision Service
Show steps
Create a demonstration of the Custom Vision Service to reinforce course material.
Show steps
-
Gather images for training and testing.
-
Create a Custom Vision project.
-
Upload images to the project.
-
Train the model.
-
Deploy the model.
Solve leetcode problems related to computer vision
Show steps
Test and refine your problem-solving skills in the context of Computer Vision.
Show steps
-
Choose leetcode problems tagged with computer vision
-
Analyze the problem statement and identify the underlying algorithms
-
Implement the solution in your preferred programming language
-
Submit your solution and review the test results
Create a blog post about your experience with Computer Vision
Show steps
Solidify your knowledge by explaining the concepts and applications of Computer Vision to others.
Browse courses on
Computer Vision
Show steps
-
Choose a specific aspect of Computer Vision to focus on
-
Research and gather information from credible sources
-
Write a draft of your blog post
-
Review and edit your post for clarity and accuracy
-
Publish your blog post and share it with others
Develop a case study on how Computer Vision can solve a real-world problem
Show steps
Apply your knowledge and analytical skills to demonstrate the practical impact of Computer Vision.
Browse courses on
Case study
Show steps
-
Identify a real-world problem that can be addressed with Computer Vision
-
Research and analyze existing solutions
-
Develop a prototype or proof of concept
-
Evaluate the results and make recommendations
Explore the Azure portal for managing Computer Vision resources
Show steps
Familiarize yourself with the Azure portal to navigate and manage Computer Vision resources effectively.
Browse courses on
Azure Portal
Show steps
Show steps
Show steps
- Sign in to the Azure portal
- Create a new Computer Vision API resource
- Configure and manage your resource settings
Attend an Azure Meetup to connect with experts and enthusiasts
Show steps
Expand your network and gain insights from industry professionals and fellow learners.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Find an Azure Meetup group in your area
- Register for the event
- Attend the meetup and participate in discussions
Walkthrough: Create a Computer Vision API project
Show steps
Review the steps involved in setting up a Computer Vision API project to gain hands-on experience with the platform.
Show steps
Show steps
Show steps
- Set up an Azure subscription and create a project
- Create a Computer Vision API resource
- Obtain your API key and endpoint
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice image analysis with Python code
Show steps
Deepen your understanding of image analysis techniques by implementing them in Python code.
Browse courses on
Image Analysis
Show steps
Show steps
Show steps
- Install the necessary Python libraries
- Load an image into your Python script
- Perform image analysis using the Computer Vision API
Demo Custom Vision Service
Show steps
Create a demonstration of the Custom Vision Service to reinforce course material.
Show steps
Show steps
Show steps
- Gather images for training and testing.
- Create a Custom Vision project.
- Upload images to the project.
- Train the model.
- Deploy the model.
Solve leetcode problems related to computer vision
Show steps
Test and refine your problem-solving skills in the context of Computer Vision.
Show steps
Show steps
Show steps
- Choose leetcode problems tagged with computer vision
- Analyze the problem statement and identify the underlying algorithms
- Implement the solution in your preferred programming language
- Submit your solution and review the test results
Create a blog post about your experience with Computer Vision
Show steps
Solidify your knowledge by explaining the concepts and applications of Computer Vision to others.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Choose a specific aspect of Computer Vision to focus on
- Research and gather information from credible sources
- Write a draft of your blog post
- Review and edit your post for clarity and accuracy
- Publish your blog post and share it with others
Develop a case study on how Computer Vision can solve a real-world problem
Show steps
Apply your knowledge and analytical skills to demonstrate the practical impact of Computer Vision.
Browse courses on
Case study
Show steps
Show steps
Show steps
- Identify a real-world problem that can be addressed with Computer Vision
- Research and analyze existing solutions
- Develop a prototype or proof of concept
- Evaluate the results and make recommendations
Career center
Learners who complete Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems. These systems can be used for a variety of tasks, such as image analysis, facial recognition, and medical imaging. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course provides a strong foundation for a career in computer vision engineering. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Data Scientist
Data Scientist
Data Scientists use data to solve problems. They use a variety of techniques, including machine learning, to analyze data and extract insights. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course provides a strong foundation for a career in data science. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning solutions. These solutions can be used for a variety of tasks, such as image recognition, natural language processing, and predictive analytics. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course provides a strong foundation for a career in machine learning engineering. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to create software that meets the needs of their users. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Software Engineers who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market that meet the needs of their customers. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Product Managers who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Business Analyst
Business Analyst
Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. They use a variety of techniques, including data analysis and process mapping, to identify and solve problems. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Business Analysts who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make better decisions. They use a variety of statistical and programming techniques to extract insights from data. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Data Analysts who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries. They use a variety of techniques, including linear programming, simulation, and queuing theory, to optimize processes and improve efficiency. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Operations Research Analysts who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses make better decisions. They use a variety of statistical techniques to extract insights from data. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Statisticians who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and analytical techniques to solve problems in the financial industry. They use a variety of techniques, including statistical modeling, risk analysis, and portfolio optimization, to make investment decisions. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Quantitative Analysts who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Actuary
Actuary
Actuaries use mathematical and analytical techniques to assess risk and uncertainty. They use a variety of techniques, including statistical modeling, risk analysis, and financial forecasting, to make decisions about insurance and other financial products. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Actuaries who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. They use a variety of mathematical and analytical techniques to analyze economic data and make predictions about the economy. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Economists who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Financial Analyst
Financial Analyst
Financial Analysts use mathematical and analytical techniques to analyze financial data and make investment recommendations. They use a variety of techniques, including financial modeling, risk analysis, and portfolio optimization, to make investment decisions. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Financial Analysts who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Market Researcher
Market Researcher
Market Researchers study the market for goods and services. They use a variety of qualitative and quantitative research techniques to collect data about consumer behavior and preferences. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course can be helpful for Market Researchers who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
Salesforce Administrator
Salesforce Administrator
Salesforce Administrators manage and maintain Salesforce software for businesses. They work with users to ensure that the software is configured to meet their needs and that they are able to use it effectively. The Microsoft Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure course may be helpful for Salesforce Administrators who want to learn more about computer vision. The course covers the basics of computer vision, as well as how to use Azure to build and deploy computer vision solutions.
For more career information including salaries, visit:
OpenCourser.com/course/jsbs0j/microsoft
Reading list
We've selected ten 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 AI Fundamentals (AI-900): Computer Vision Workloads on Azure.
Save
Covers the computer vision techniques and algorithms used for object and pattern recognition, with a focus on real-world applications.
Save
A foundational text on deep learning, providing a comprehensive overview of the topic and its applications in computer vision.
Introduces the fundamentals of deep learning and its applications in computer vision, providing a practical guide to building and training deep learning models.
A seminal work on scale-space theory, providing a theoretical framework for understanding image processing and analysis at different scales.
A textbook that covers the core concepts and algorithms in computer vision, providing a comprehensive overview of the field.
Covers the intersection of machine learning and computer vision, providing insights into the use of machine learning techniques for image analysis and recognition.
Provides an in-depth examination of computer vision metrics, helping you evaluate the performance of your computer vision models.
Covers the theoretical foundations of pattern recognition and machine learning, providing a solid understanding of the underlying concepts and algorithms used in computer vision.
Provides a comprehensive overview of statistical learning methods, including those used in computer vision for tasks such as object recognition and image classification.
Covers the fundamental principles and applications of digital image processing, providing a solid foundation for understanding computer vision concepts.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jsbs0j/microsoft
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Time
255 hours
Level
Intermediate
Via
Pluralsight
Instructor
Clint Bonnett
Language
English
Good to know
Explores computer vision tasks that are highly relevant to the AI-900 certification
Taught by Clint Bonnett, who is recognized for their work in computer vision technology
Develops skills and knowledge of computer vision tasks needed for the AI-900 certification
Teaches image analysis, face detection and analysis, and text recognition from documents and images
Examines computer vision, which is standard in the technology industry
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