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Developing Applications with AWS Rekognition

Alan Jones

One of the hot topics in artificial intelligence today is image analysis. This course will help you understand how to leverage the AWS services for image and video processing in your applications.

AWS Rekognition provides powerful services for image and video processing. This course, Developing Applications with AWS Rekognition, will demonstrate how these features can be applied to your applications. First, you will cover topics like biometric access based on facial recognition and detection of unsafe content. Next, you will learn how to implement person tracking in security videos and metadata discovery for social media applications. Finally, you will see how other AWS services, like EC2 and Lambda, can work together with Rekognition to build complete applications. When you're finished with this course, you will be ready to use all of the features of Rekognition for image and video processing.

This course is no longer available. Find something similar by browsing:

AWS Rekognition Image Analysis Video Processing Facial Recognition Biometric Access Person Tracking Metadata Discovery

What's inside

Syllabus

Course Overview

Introduction to Rekognition

Using the Image Features of Rekognition

Using the Video Features of Rekognition

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Develops image and video recognition skills, which are core skills for developing modern software applications

Taught by Alan Jones, who are recognized for their work in image analysis

Explores Rekognition, which is standard in industry for image analysis

Provides hands-on labs and interactive materials for learners to practice their skills

Teaches essential concepts of image analysis, which are highly relevant to machine learning and artificial intelligence

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Reviews summary

Practical aws rekognition application development

According to students, this course provides a solid introduction to AWS Rekognition, particularly highlighting its practical approach to developing applications. Many learners found the hands-on demonstrations and integration with other AWS services like EC2 and Lambda to be a significant strength, making the concepts clear and applicable. However, some feedback indicates that certain content or API calls may be slightly outdated, which can be a minor hurdle. Overall, it's considered a strong starting point for professionals aiming to leverage AWS for image and video analysis.

Ideal for beginners, but experienced users may find it too basic.

"As a beginner, I found this course incredibly helpful, but an intermediate user might want more depth."

"It provides a good overview, but I was hoping for more advanced use cases or optimization techniques."

"I found it assumes some basic familiarity with AWS, which helped me, but could be a hurdle for absolute newcomers."

Offers an accessible and clear introduction to AWS Rekognition.

"The instructor did a great job of explaining complex concepts in an easy-to-understand way for beginners."

"I gained a solid foundation in using AWS Rekognition for common image and video tasks."

"This was perfect for getting started with AI image analysis on AWS without needing prior deep knowledge."

Strong emphasis on building real-world Rekognition applications.

"The hands-on coding and projects are the strongest part of the course for me, helping to solidify my understanding."

"I really appreciated seeing how Rekognition integrates with EC2 and Lambda to build complete solutions."

"This course helped me move beyond just theory to actually implement Rekognition features in my projects."

Some course materials may not reflect the latest AWS Rekognition API.

"I encountered some issues with the code examples as AWS APIs have changed since the course was published."

"A few parts felt a bit outdated, requiring me to look up newer documentation for solutions."

"While the core concepts are sound, I found some specific implementation details could use an update."

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 Developing Applications with AWS Rekognition with these activities:

Review general concepts and techniques in computer vision and image processing

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Enhance your understanding of the fundamental principles underlying image recognition.

Browse courses on Computer Vision

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Review introductory materials on computer vision and image processing concepts, such as image representation, feature extraction, and classification techniques.
Solve practice problems or exercises to reinforce your understanding.

Review course syllabus and material list

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Get organized for your learning journey.

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Access the course syllabus and material list from the online portal.
Read the syllabus carefully and note the required textbooks, software, and other materials.
Gather any necessary physical materials, such as textbooks, from the bookstore or library.
Set up a dedicated study space where you can access the online portal, materials, and software.

Follow online video tutorials on AWS Rekognition basics

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Get comfortable working with AWS Rekognition before diving deep into the course content.

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Search for free online video tutorials on AWS Rekognition.
Identify tutorials covering basic concepts, such as object detection and facial recognition.
Follow along with the tutorials, taking notes and practicing the demonstrated techniques.

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Connect with a mentor in the field of image recognition or cloud computing

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Gain personalized guidance and support from an experienced professional.

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Identify potential mentors through personal connections, professional networking, or online platforms.
Reach out to mentors and introduce yourself, expressing your interest in mentorship.
Schedule a meeting or call to discuss your career goals and areas where you seek guidance.
Establish a regular communication schedule and agenda for mentorship sessions.

Practice using the AWS SDK for Rekognition

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Build your confidence working with the AWS SDK for Rekognition by practicing regularly.

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Install the AWS SDK for Rekognition in your preferred development environment.
Find practice problems or exercises that involve using the AWS SDK for Rekognition.
Solve the practice problems, using the AWS documentation as a reference.

Attend a local meetup or online event focused on AWS and cloud computing

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Connect with industry professionals and learn about the latest trends in image recognition.

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Find local meetups or online events related to AWS and cloud computing.
Register for the event and prepare to actively participate.
Attend the event, engage in discussions, and exchange knowledge with others.

Create a collection of resources on AWS Rekognition and image recognition

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Consolidate and organize your learning resources for easy future reference.

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Gather resources from the course, online tutorials, documentation, and other relevant sources.
Organize the resources into a structured format, such as a shared document, online folder, or wiki.
Include resources covering various aspects of image recognition, such as object detection, facial analysis, and video processing.
Optionally, share the compilation with other learners or the community.

Build a simple image processing application using Rekognition

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Apply your Rekognition skills by creating a practical project.

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Design a simple image processing application that utilizes Rekognition features.
Choose a programming language and development environment for your application.
Implement the application's functionality using the AWS Rekognition SDK.
Test and debug your application to ensure it meets the desired requirements.
Optionally, deploy your application to a cloud platform or share it with others.

Participate in an online coding or hackathon challenge related to image recognition

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Test and showcase your skills while learning from others in the field.

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Find online coding or hackathon challenges related to image recognition.
Register for the challenge and form a team, if necessary.
Work on the challenge, applying your Rekognition knowledge and problem-solving abilities.
Submit your solution and await the results.
Reflect on your experience and identify areas for improvement.

Career center

Learners who complete Developing Applications with AWS Rekognition will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, deploying, and maintaining machine learning models. This course can be useful for Machine Learning Engineers who want to learn how to use AWS Rekognition to build image and video processing applications. It can help them understand the capabilities of this service and how to use it to solve real-world problems.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, test, and maintain software systems. This course can be useful for Software Engineers who want to learn how to use AWS Rekognition to build image and video processing applications. It can help them understand the capabilities of this service and how to use it to solve real-world problems.

See salaries and explore the career path for Software Engineer

Customer Success Manager

Customer Success Managers ensure that customers are satisfied with a company's products and services. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Customer Success Managers understand how to use this technology to improve customer satisfaction.

See salaries and explore the career path for Customer Success Manager

Computer Vision Engineer

Computer Vision Engineers plan and execute projects related to computer-based image analysis and modeling, enhancing the utility of computer vision technology. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Computer Vision Engineers understand how to use this technology to build applications that can analyze images and videos for various purposes.

See salaries and explore the career path for Computer Vision Engineer

Support Engineer

Support Engineers provide technical support to customers. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Support Engineers understand how to use this technology to resolve customer issues.

See salaries and explore the career path for Support Engineer

Business Analyst

Business Analysts analyze business processes and systems to identify opportunities for improvement. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Business Analysts understand how to use this technology to analyze images and videos for various purposes, such as identifying customer trends or improving product design.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers plan and execute the development and marketing of products. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Product Managers understand how to use this technology to develop products that meet the needs of customers.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers plan, execute, and close projects. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Project Managers understand how to use this technology to manage projects related to image and video processing.

See salaries and explore the career path for Project Manager

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Data Scientists understand how to use this technology to build applications that can analyze images and videos for various purposes.

See salaries and explore the career path for Data Scientist

Marketing Manager

Marketing Managers plan and execute marketing campaigns. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Marketing Managers understand how to use this technology to create marketing campaigns that are more effective.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales Managers plan and execute sales strategies. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Sales Managers understand how to use this technology to improve sales performance.

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Computer Scientist

Computer Scientists research, design, develop, and implement computer systems and applications. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Computer Scientists understand how to use this technology to build applications that can analyze images and videos for various purposes.

See salaries and explore the career path for Computer Scientist

Quality Assurance Analyst

Quality Assurance Analysts test and evaluate software products to ensure that they meet quality standards. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Quality Assurance Analysts understand how to use this technology to test and evaluate image and video processing applications.

See salaries and explore the career path for Quality Assurance Analyst

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Data Analysts understand how to use this technology to analyze images and videos for various purposes.

See salaries and explore the career path for Data Analyst

Technical Writer

Technical Writers create documentation for software products. This course may be useful as it provides a foundation in the use of AWS Rekognition for image and video processing. It can help Technical Writers understand how to use this technology to create documentation for image and video processing applications.

See salaries and explore the career path for Technical Writer

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 Developing Applications with AWS Rekognition.

Artificial Intelligence

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This classic textbook on artificial intelligence. It covers a wide range of topics, including machine learning, natural language processing, and computer vision. It great resource for anyone who wants to learn more about the fundamentals of AI.

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Developing Applications with AWS Rekognition

What's inside

Syllabus

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Reviews summary

Practical aws rekognition application development

Activities

Career center

Reading list

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