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Microsoft Azure AI Fundamentals (AI-900)
Computer Vision Workloads on Azure
Clint Bonnett
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
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
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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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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