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Axel Sirota
Few problems are as complex as Face Recognition. Usually, you have no more than a couple of images and do your best. This course will teach you how to leverage Microsoft Azure Face API for face detection and recognition with just a few lines of code
Read more
Few problems are as complex as Face Recognition. Usually, you have no more than a couple of images and do your best. This course will teach you how to leverage Microsoft Azure Face API for face detection and recognition with just a few lines of code
Read more
Few problems are as complex as Face Recognition. Usually, you have no more than a couple of images and do your best. This course will teach you how to leverage Microsoft Azure Face API for face detection and recognition with just a few lines of code
There are few problems as complex as Face Recognition. In this course, Build a Face Recognition Solution with Microsoft Azure Face API, you’ll gain the ability to leverage Microsoft Azure Face API for face detection and recognition with just a few lines of code. First, you’ll explore the Face API and Face Detection. Next, you’ll discover Face Recognition and finding similar faces. Finally, you’ll learn how to apply Face Similarity, Face Verification, Face Identification, and Face Grouping to your use case. When you’re finished with this course, you’ll have the skills and knowledge of Face Detection and Face Recognition in Azure needed to add those functionalities to your applications with a few lines of code.
Register for this course and see more details by visiting:
OpenCourser.com/course/4w7oby/build
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What's inside
Syllabus
Course Overview
Meet the Face API
Detecting Faces and Attributes
Recognizing Faces and Groups
Read more
Syllabus
Course Overview
Meet the Face API
Detecting Faces and Attributes
Recognizing Faces and Groups
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops practical skills for implementing Face Detection and Face Recognition with ease
Teaches learners how to apply Face Detection and Face Recognition techniques to their applications seamlessly
Prioritizes hands-on learning, allowing learners to gain immediate practical experience
Leverages Microsoft Azure Face API, an industry-standard technology, to provide learners with the latest capabilities
Provides a concise approach, focusing on Face Detection and Face Recognition fundamentals, making it suitable for beginners
Taught by Axel Sirota, an experienced instructor, adding credibility to the learning experience
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Save Build a Face Recognition Solution with Microsoft Azure Face API 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 Build a Face Recognition Solution with Microsoft Azure Face API with these
activities:
Review Basic Image Processing Techniques
Show steps
Reviewing basic image processing techniques will help you better understand how the Azure Face API processes images for face detection and recognition.
Browse courses on
Image Processing
Show steps
-
Read articles or watch videos on basic image processing
-
Practice applying image processing techniques to sample images
Follow a Tutorial on Face Recognition with Azure Face API
Show steps
Following a tutorial will provide you with a structured and step-by-step approach to learning face detection and recognition with the Azure Face API.
Show steps
-
Find a tutorial on face recognition with Azure Face API
-
Follow the steps in the tutorial
Join a Study Group or Online Forum
Show steps
Engaging with peers will allow you to share knowledge, ask questions, and enhance your understanding of the course material.
Show steps
-
Join a study group or online forum
-
Participate in discussions and ask questions
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Face Detection and Recognition on Sample Images
Show steps
Practice makes perfect. This will help you develop a better understanding of the concepts and techniques covered in this course.
Browse courses on
Face Detection
Show steps
-
Find a dataset of sample images
-
Use the Microsoft Azure Face API to detect faces in the images
-
Use the Microsoft Azure Face API to recognize faces in the images
Attend a Workshop on Azure Face API
Show steps
Attending a workshop will provide you with an opportunity to learn from experts and interact with other professionals in the field.
Show steps
-
Find a workshop on Azure Face API
-
Attend the workshop
Build a Face Recognition Solution
Show steps
Implementing a face recognition solution will test your understanding of this course by allowing you to apply the skills you've learned to a real-world scenario.
Browse courses on
Face Recognition
Show steps
-
Familiarize yourself with Microsoft Azure Face API
-
Design your face recognition solution
-
Implement your solution using Microsoft Azure Face API
-
Test and evaluate your solution
Create a Blog Post or Article on Face Recognition
Show steps
Creating a blog post or article will help you synthesize your knowledge and understanding of face detection and recognition.
Browse courses on
Face Recognition
Show steps
-
Choose a topic related to face detection or recognition
-
Research the topic and gather information
-
Write your blog post or article
Develop a Face Recognition Application
Show steps
Developing a face recognition application will challenge you to apply your knowledge and skills to a real-world problem.
Browse courses on
Face Recognition
Show steps
-
Define the scope of your project
-
Gather the necessary resources
-
Design and implement your application
-
Test and evaluate your application
Review Basic Image Processing Techniques
Show steps
Reviewing basic image processing techniques will help you better understand how the Azure Face API processes images for face detection and recognition.
Browse courses on
Image Processing
Show steps
Show steps
Show steps
- Read articles or watch videos on basic image processing
- Practice applying image processing techniques to sample images
Follow a Tutorial on Face Recognition with Azure Face API
Show steps
Following a tutorial will provide you with a structured and step-by-step approach to learning face detection and recognition with the Azure Face API.
Show steps
Show steps
Show steps
- Find a tutorial on face recognition with Azure Face API
- Follow the steps in the tutorial
Join a Study Group or Online Forum
Show steps
Engaging with peers will allow you to share knowledge, ask questions, and enhance your understanding of the course material.
Show steps
Show steps
Show steps
- Join a study group or online forum
- Participate in discussions and ask questions
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Face Detection and Recognition on Sample Images
Show steps
Practice makes perfect. This will help you develop a better understanding of the concepts and techniques covered in this course.
Browse courses on
Face Detection
Show steps
Show steps
Show steps
- Find a dataset of sample images
- Use the Microsoft Azure Face API to detect faces in the images
- Use the Microsoft Azure Face API to recognize faces in the images
Attend a Workshop on Azure Face API
Show steps
Attending a workshop will provide you with an opportunity to learn from experts and interact with other professionals in the field.
Show steps
Show steps
Show steps
- Find a workshop on Azure Face API
- Attend the workshop
Build a Face Recognition Solution
Show steps
Implementing a face recognition solution will test your understanding of this course by allowing you to apply the skills you've learned to a real-world scenario.
Browse courses on
Face Recognition
Show steps
Show steps
Show steps
- Familiarize yourself with Microsoft Azure Face API
- Design your face recognition solution
- Implement your solution using Microsoft Azure Face API
- Test and evaluate your solution
Create a Blog Post or Article on Face Recognition
Show steps
Creating a blog post or article will help you synthesize your knowledge and understanding of face detection and recognition.
Browse courses on
Face Recognition
Show steps
Show steps
Show steps
- Choose a topic related to face detection or recognition
- Research the topic and gather information
- Write your blog post or article
Develop a Face Recognition Application
Show steps
Developing a face recognition application will challenge you to apply your knowledge and skills to a real-world problem.
Browse courses on
Face Recognition
Show steps
Show steps
Show steps
- Define the scope of your project
- Gather the necessary resources
- Design and implement your application
- Test and evaluate your application
Career center
Learners who complete Build a Face Recognition Solution with Microsoft Azure Face API will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use mathematical and statistical techniques to extract insights from data. A Data Scientist might leverage the skills learned in this course to build machine learning models that can detect faces in images or videos. They may also use this knowledge to build models that can recognize faces and identify individuals. The Face Verification, Face Identification, and Face Grouping concepts will be particularly useful to those wanting to work as a Data Scientist.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. A Software Engineer might leverage the skills learned in this course to build applications that can perform face detection and recognition. They may also use this knowledge to build applications that can verify a user's identity through facial recognition. The Face Detection, Face Recognition, and Face Verification concepts will be particularly useful to those wanting to work as a Software Engineer.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement solutions that enable computers to interpret and understand images and videos. A Computer Vision Engineer might leverage the skills learned in this course to build applications that can perform face detection and recognition. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Computer Vision Engineer.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models to solve business problems. A Machine Learning Engineer might leverage the skills learned in this course to build machine learning models that are able to accurately detect and recognize faces. They might leverage this knowledge to work on applications in security, retail, and healthcare. The Face Detection, Face Recognition, and Face Verification concepts will be particularly useful to those wanting to work as a Machine Learning Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. An Artificial Intelligence Engineer might leverage the skills learned in this course to build AI systems that can perform face detection and recognition. They may also use this knowledge to build AI systems that can be used for surveillance, security, and marketing. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as an Artificial Intelligence Engineer.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. A Business Intelligence Analyst might leverage the skills learned in this course to build dashboards and visualizations that can help businesses understand their customers better. They may also use this knowledge to build models that can predict customer behavior. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Business Intelligence Analyst.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. A Data Analyst might leverage the skills learned in this course to build dashboards and visualizations that can help businesses understand their customers better. They may also use this knowledge to build models that can predict customer behavior. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Data Analyst.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. A Product Manager might leverage the skills learned in this course to build products that can perform face detection and recognition. They may also use this knowledge to build products that can be used for security, surveillance, and marketing. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Product Manager.
UX Designer
UX Designer
UX Designers are responsible for the user experience of a product. A UX Designer might leverage the skills learned in this course to design interfaces that are easy to use and understand. They may also use this knowledge to design interfaces that are visually appealing and engaging. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a UX Designer.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. A Marketing Manager might leverage the skills learned in this course to create marketing campaigns that are targeted to specific audiences. They may also use this knowledge to track the success of marketing campaigns and make adjustments as needed. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Marketing Manager.
Sales Manager
Sales Manager
Sales Managers are responsible for leading sales teams and achieving sales goals. A Sales Manager might leverage the skills learned in this course to train their team on how to use face detection and recognition technology to identify and track leads. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Sales Manager.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with a company's products and services. A Customer Success Manager might leverage the skills learned in this course to build relationships with customers and help them get the most out of their products and services. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Customer Success Manager.
Technical Support Engineer
Technical Support Engineer
Technical Support Engineers provide technical support to customers. A Technical Support Engineer might leverage the skills learned in this course to help customers troubleshoot problems with their products and services. They may also use this knowledge to provide training on how to use products and services. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Technical Support Engineer.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing software to ensure that it meets quality standards. A Quality Assurance Analyst might leverage the skills learned in this course to test software that uses face detection and recognition technology. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Quality Assurance Analyst.
Security Analyst
Security Analyst
Security Analysts are responsible for protecting an organization's computer systems and networks from security threats. A Security Analyst might leverage the skills learned in this course to use face detection and recognition technology to identify and track potential security threats. The Face Detection, Face Recognition, and Face Grouping concepts will be particularly useful to those wanting to work as a Security Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/4w7oby/build
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
Build a Face Recognition Solution with Microsoft Azure Face API.
Save
This widely-used textbook provides a comprehensive overview of deep learning theory and applications, which is essential for understanding the underlying techniques used in Microsoft Azure Face API.
Save
Provides a comprehensive introduction to computer vision algorithms and techniques, including topics such as image processing, feature extraction, and object recognition, which are foundational concepts for understanding face recognition.
This widely-used textbook provides a broad overview of computer vision, covering topics such as image formation, feature detection, and object recognition, which are essential for understanding the principles behind Microsoft Azure Face API.
Save
Provides a MATLAB-based introduction to face recognition techniques, offering a practical approach to understanding the algorithms used in Microsoft Azure Face API.
Provides a comprehensive introduction to pattern recognition and machine learning algorithms, which are fundamental to understanding the underlying techniques used by Microsoft Azure Face API.
Provides a comprehensive introduction to deep learning for computer vision. It covers the basics of computer vision, deep learning, and convolutional neural networks. The book also provides detailed instructions on how to use the Keras deep learning library to build computer vision applications.
Provides a comprehensive introduction to computer vision with Python. It covers the basics of computer vision, image processing, and object detection. The book also provides detailed instructions on how to use the OpenCV computer vision library to build computer vision applications.
Provides a comprehensive overview of face recognition theory and practice. It covers the basics of face recognition, face detection, and face tracking. The book also provides detailed instructions on how to build a face recognition system using the OpenCV computer vision library.
Provides a comprehensive overview of face recognition. It covers the basics of face recognition, face detection, and face tracking. The book also provides detailed instructions on how to build a face recognition system using the OpenCV computer vision library.
Provides a comprehensive introduction to face recognition with JavaScript. It covers the basics of face recognition, face detection, and face tracking. The book also provides detailed instructions on how to build a face recognition system using the OpenCV computer vision library.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4w7oby/build
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Time
60 hours
Level
Intermediate
Via
Pluralsight
Instructor
Axel Sirota
Language
English
Good to know
Develops practical skills for implementing Face Detection and Face Recognition with ease
Teaches learners how to apply Face Detection and Face Recognition techniques to their applications seamlessly
Prioritizes hands-on learning, allowing learners to gain immediate practical experience
Leverages Microsoft Azure Face API, an industry-standard technology, to provide learners with the latest capabilities
Provides a concise approach, focusing on Face Detection and Face Recognition fundamentals, making it suitable for beginners
Taught by Axel Sirota, an experienced instructor, adding credibility to the learning experience
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