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Application using Amazon Rekognition
Yara Yasser
Yara Yasser
في اخر الكورس هتقدر تستخدم AWS Rekognition من الWesbite بتاع AWS . خلال المشروع هتقدر تستخدم AWS Rekognition APIs في Python code وهتقدر تعمل مشاريع Computer Vision, من غير ما تدخل في تفاصيل بناء Machine Learning Model,هتقدر كمان تستخدم AWS High Level Services وتخليها تعمل الوظيفة المطلوبة بسرعة ودقة
Read more
في اخر الكورس هتقدر تستخدم AWS Rekognition من الWesbite بتاع AWS . خلال المشروع هتقدر تستخدم AWS Rekognition APIs في Python code وهتقدر تعمل مشاريع Computer Vision, من غير ما تدخل في تفاصيل بناء Machine Learning Model,هتقدر كمان تستخدم AWS High Level Services وتخليها تعمل الوظيفة المطلوبة بسرعة ودقة
Read more
في اخر الكورس هتقدر تستخدم AWS Rekognition من الWesbite بتاع AWS . خلال المشروع هتقدر تستخدم AWS Rekognition APIs في Python code وهتقدر تعمل مشاريع Computer Vision, من غير ما تدخل في تفاصيل بناء Machine Learning Model,هتقدر كمان تستخدم AWS High Level Services وتخليها تعمل الوظيفة المطلوبة بسرعة ودقة
المشروع ده لاي شخص مبتدأ حابب يعمل مشروع او حلول بال Computer Vision باستخدام AWS سواء في دراسته او شغله لتسهيل عملية بناء Machine Learning Model. وده هيفيد بان التركيز الاكبر يكون علي الهدف الاساسي للمشروع مش التركيز علي الComputer Vision, فالنجاح في المشروع هيكون احسن, اسرع, ادق وكمان يضمن استمرارية النتيجة.
بيقدملك حلول لمشاكل كتير تقدر تتحل بال وفي الكورس ده هنبقي علي بداية طريق ال cloud-based
software ده Amazon Rekognition
بيقدملك حلول لمشاكل كتير تقدر تتحل بال وفي الكورس ده هتبقي علي بداية طريق الAutomation وبداية انك تقدر تعمل serverless pipeline تستخدمها في اي مشروع له علاقة بالComputer Vision فتبقي قادر اكتر تركز علي مشروعك واللفكرة الجديدة اللي عندك بدل ما تشغل نفسك في بناء Machine Learning Model جديد وانك تطور فيه كل شوية ودي واحدة من اهم مميزات AWS انها بتوفرلك خدمات مش بتخليك متضطر الي اعادة اختراع العجلة!
Register for this course and see more details by visiting:
OpenCourser.com/course/n0req0/application
What's inside
Syllabus
Project Overview
الكورس هتتعلم تستخدم AWS Rekognition من الWesbite بتاع AWS . و خلال المشروع هتقدر تستخدم AWS Rekognition APIs في Python code وهتقدر تعمل مشاريع Computer Vision, من غير ما تدخل في تفاصيل بناء Machine Learning Model, ,هتقدر كمان تستخدم AWS High Level Services وتخليها تعمل الوظيفة المطلوبة بسرعة ودقة
المشروع ده لاي شخص مبتدأ حابب يعمل مشروع او حلول بال Computer Vision باستخدام AWS سواء في دراسته او شغله لتسهيل عملية بناء Machine Learning Model. وده هيفيد بان التركيز الاكبر يكون علي الهدف الاساسي للمشروع مش التركيز علي الComputer Vision, فالنجاح في المشروع هيكون احسن, اسرع, ادق وكمان يضمن استمرارية النتيجة.
بيقدملك حلول لمشاكل كتير تقدر تتحل بال وفي الكورس ده هنبقي علي بداية طريق ال cloud-based
software ده Amazon Rekognition
بيقدملك حلول لمشاكل كتير تقدر تتحل بال وفي الكورس ده هتبقي علي بداية طريق الAutomation وبداية انك تقدر تعمل serverless pipeline تستخدمها في اي مشروع له علاقة بالComputer Vision فتبقي قادر اكتر تركز علي مشروعك واللفكرة الجديدة اللي عندك بدل ما تشغل نفسك في بناء Machine Learning Model جديد وانك تطور فيه كل شوية ودي واحدة من اهم مميزات AWS انها بتوفرلك خدمات مش بتخليك متضطر الي اعادة اختراع العجلة!
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Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Uses the Amazon Rekognition APIs and High-Level Services for computer vision projects
Provides a starting point for exploring cloud-based software
Offers a simplified learning path for beginners
Teaches AWS Rekognition, a software that is relevant to industry
Requires familiarity with Python coding
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Application using Amazon Rekognition.
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Career center
Learners who complete Application using Amazon Rekognition 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 that can recognize patterns in images and videos. This course helps build a foundation for this role by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to develop computer vision systems that can be used in a variety of applications.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and managing cloud-based solutions. This course helps build a foundation for this role by introducing Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to design and implement cloud-based solutions that incorporate computer vision.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course may be useful for those interested in a career as a Machine Learning Engineer by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to develop machine learning models that incorporate computer vision.
Business Analyst
Business Analyst
Business Analysts help businesses to improve their performance. This course may be useful for those interested in a career as a Business Analyst by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to help businesses improve their performance by using computer vision to analyze data and identify trends.
Data Architect
Data Architect
Data Architects design and implement data management solutions. This course may be useful for those interested in a career as a Data Architect by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to design and implement data management solutions that incorporate computer vision.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for those interested in a career as a Software Engineer by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to develop software applications that incorporate computer vision.
Database Administrator
Database Administrator
Database Administrators design and implement database systems. This course may be useful for those interested in a career as a Database Administrator by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to design and implement database systems that incorporate computer vision.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. This course may be useful for those interested in a career as an Information Security Analyst by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to protect computer systems and networks from unauthorized access by using computer vision to identify and track threats.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course may be useful for those interested in a career as a Product Manager by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to develop and launch new products that incorporate computer vision.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, develop, and maintain robots. This course may be useful for those interested in a career as a Robotics Engineer by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to develop robots that can use computer vision to navigate and interact with the world around them.
Network Engineer
Network Engineer
Network Engineers design and implement computer networks. This course may be useful for those interested in a career as a Network Engineer by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to design and implement computer networks that incorporate computer vision.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. This course may be useful for those interested in a career as a Systems Analyst by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to design and implement computer systems that incorporate computer vision.
Project Manager
Project Manager
Project Managers are responsible for the planning and execution of projects. This course may be useful for those interested in a career as a Project Manager by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to plan and execute projects that incorporate computer vision.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software applications. This course may be useful for those interested in a career as a Quality Assurance Analyst by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to test and evaluate software applications that incorporate computer vision.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course may be useful for those interested in a career as a Data Scientist by providing an introduction to Amazon Rekognition, a cloud-based service that can be used to develop computer vision applications. By learning how to use Amazon Rekognition, learners can gain the skills needed to develop data-driven solutions that incorporate computer vision.
For more career information including salaries, visit:
OpenCourser.com/course/n0req0/application
Reading list
We've selected eight 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
Application using Amazon Rekognition.
Provides a comprehensive overview of deep learning, including the latest developments in computer vision. Covers topics such as convolutional neural networks, recurrent neural networks, and deep reinforcement learning.
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Provides a comprehensive overview of deep learning. Includes topics such as convolutional neural networks, recurrent neural networks, and deep reinforcement learning.
Provides a comprehensive overview of deep learning for computer vision. Includes topics such as convolutional neural networks, recurrent neural networks, and deep reinforcement learning.
Provides a comprehensive overview of computer vision and covers the latest developments in the field. Includes topics such as image processing, feature detection, and object recognition.
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Covers the fundamentals of computer vision and provides a comprehensive overview of the field. Includes topics such as image processing, feature detection, and object recognition.
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Provides a comprehensive overview of artificial intelligence, including topics such as machine learning, natural language processing, and computer vision. Covers the use of Python libraries such as TensorFlow and Keras.
Covers the fundamentals of machine learning and provides a comprehensive overview of the field. Includes topics such as supervised learning, unsupervised learning, and ensemble methods.
Provides a comprehensive overview of machine learning from a probabilistic perspective. Includes topics such as supervised learning, unsupervised learning, and ensemble methods.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n0req0/application
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Effort
1.5 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Yara Yasser
Language
العربية
Good to know
Uses the Amazon Rekognition APIs and High-Level Services for computer vision projects
Provides a starting point for exploring cloud-based software
Offers a simplified learning path for beginners
Teaches AWS Rekognition, a software that is relevant to industry
Requires familiarity with Python coding
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