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Amazon Kinesis Video Streams - Getting Started

AWS Instructor

With Amazon Kinesis Video Streams, you can build media streaming applications for Internet of Things (IoT) video devices and real-time computer vision machine learning (ML) applications.

In this course, you will learn the benefits and technical concepts of Kinesis Video Streams. If you are new to the service, you will learn how to start using Kinesis Video Streams through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify image extraction through APIs or automated image extraction from metadata tags in ingested video.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops the key concepts of streaming media applications for video devices and machine learning applications

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Reviews summary

Kinesis video streams: solid introduction

According to students, this course provides a largely positive and solid introduction to Amazon Kinesis Video Streams. Learners consistently praise its clear explanations and concise content, making it an excellent starting point for those new to the service. The hands-on labs and practical demonstrations, especially those involving the AWS console, are highlighted as being particularly invaluable and helpful for gaining confidence. However, some reviewers note that while it excels as a 'Getting Started' course, it lacks the depth for more advanced topics or complex professional deployment scenarios. It's also suggested that learners may benefit from some prior AWS knowledge.
Features practical console demonstrations and valuable labs.
"The demonstrations were very helpful, especially for setting up the console."
"The hands-on labs were invaluable, and I successfully streamed video from a device by the end."
"The console walkthroughs are gold. My only minor critique is that more advanced topics could be touched upon..."
Provides a solid foundational understanding of KVS.
"This course is a great starting point for anyone new to KVS..."
"Absolutely excellent for getting started! I had zero prior experience with Kinesis Video Streams..."
"This course is a definite must for anyone looking to understand Amazon Kinesis Video Streams from scratch."
Some prior AWS knowledge is beneficial for learners.
"I did find some sections a bit high-level, and it assumes some basic AWS knowledge."
"The course is okay for a quick overview. It felt a bit too basic for my needs, as I already had some AWS experience."
"I was hoping for more practical examples beyond the console setup, perhaps some code snippets for common SDK integrations."
Delivers a strong basic overview but lacks advanced depth.
"It's a great starting point for anyone new to KVS, though I felt it could benefit from more advanced topics or troubleshooting scenarios..."
"For a 'Getting Started' course, it delivers on its promise. Don't expect deep dives into advanced integrations..."
"The content is generally accurate but lacks the depth for professional deployment scenarios."

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 Amazon Kinesis Video Streams - Getting Started with these activities:
Find a mentor who can guide you in your learning journey with Kinesis Video Streams
A mentor can provide personalized guidance and support to help you achieve your learning goals with Kinesis Video Streams.
Show steps
  • Identify potential mentors who have experience with Kinesis Video Streams
  • Reach out to your potential mentors and introduce yourself
  • Establish a mentoring relationship and set expectations
Review HTTP and REST basics
Review the basics of HTTP and REST to ensure a strong foundation for working with Kinesis Video Streams.
Browse courses on HTTP
Show steps
  • Read articles or blog posts about HTTP and REST
  • Complete online tutorials or exercises on HTTP and REST
  • Set up a simple HTTP server and client to practice making requests and responses
Complete the AWS Kinesis Video Streams Quickstart
Follow the official AWS Kinesis Video Streams Quickstart to gain hands-on experience setting up and using the service.
Show steps
  • Create an AWS account if you don't have one
  • Follow the steps in the Quickstart guide to set up a Kinesis Video Stream
  • Test the stream by sending video data to it
Five other activities
Expand to see all activities and additional details
Show all eight activities
Write a blog post or article about Kinesis Video Streams
Writing about Kinesis Video Streams will help you synthesize your knowledge and share it with others.
Show steps
  • Choose a topic related to Kinesis Video Streams
  • Research the topic and gather information
  • Write a draft of your blog post or article
  • Edit and revise your draft
  • Publish your blog post or article
Mentor other students who are learning about Kinesis Video Streams
Mentoring others will reinforce your understanding of Kinesis Video Streams and allow you to share your knowledge with the community.
Show steps
  • Join an online community or forum related to Kinesis Video Streams
  • Answer questions and provide guidance to other students
  • Organize or participate in study groups
Practice designing and implementing Kinesis Video Streams architectures
Design and implement Kinesis Video Streams architectures to solidify your understanding of the service's capabilities.
Show steps
  • Identify a use case for Kinesis Video Streams
  • Design the architecture for your use case, including the data sources, stream configuration, and consumption mechanisms
  • Implement your architecture using AWS resources and services
  • Test and evaluate your implementation
Participate in an AWS Kinesis Video Streams hackathon
Participating in an AWS Kinesis Video Streams hackathon will challenge you to use the service creatively and solve real-world problems.
Show steps
  • Find an AWS Kinesis Video Streams hackathon to participate in
  • Form a team or work individually
  • Develop a solution to the hackathon challenge using Kinesis Video Streams
  • Submit your solution and present it to the judges
Contribute to the Kinesis Video Streams open-source community
Contribute to the Kinesis Video Streams open-source community to gain a deeper understanding of the service and its internals.
Show steps
  • Find an open-source project related to Kinesis Video Streams
  • Read the project documentation and familiarize yourself with the code
  • Identify an area where you can contribute
  • Make a pull request with your contribution

Career center

Learners who complete Amazon Kinesis Video Streams - Getting Started will develop knowledge and skills that may be useful to these careers:
Video Application Developer
Video Application Developers design, develop, and deploy video-based technologies that serve as the core backbone for web applications and services. The course on Amazon Kinesis Video Streams - Getting Started can help you gain an understanding of the fundamental concepts and use cases involved in building scalable and reliable video streaming applications using Kinesis Video Streams.
See salaries and explore the career path for Video Application Developer
Data Engineer
Data Engineers play a crucial role in managing and analyzing large datasets to uncover patterns and insights. By taking the course on Amazon Kinesis Video Streams - Getting Started, you can gain a foundational understanding of how to handle and process real-time video data streams, which can be extremely valuable in a Data Engineer's daily tasks.
See salaries and explore the career path for Data Engineer
Computer Vision Engineer
Computer Vision Engineers specialize in developing and implementing algorithms and models to allow computers to 'see' and interpret visual data. The course on Amazon Kinesis Video Streams - Getting Started can help build a foundation for understanding how to work with video streams for real-time computer vision applications.
See salaries and explore the career path for Computer Vision Engineer
Multimedia Producer
Multimedia Producers are responsible for creating and producing video, audio, and other multimedia content. By taking the course on Amazon Kinesis Video Streams - Getting Started, you can gain insights into how to manage and stream video content effectively.
See salaries and explore the career path for Multimedia Producer
Cloud Engineer
Cloud Engineers design, implement, and manage cloud computing systems. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding how to leverage cloud services for video streaming applications.
See salaries and explore the career path for Cloud Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models for various applications. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding how to handle and process video data for machine learning applications.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding how to incorporate video streaming capabilities into software applications.
See salaries and explore the career path for Software Engineer
Web Developer
Web Developers design, develop, and maintain websites and web applications. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding how to implement video streaming features into web applications.
See salaries and explore the career path for Web Developer
Data Scientist
Data Scientists analyze and interpret data to extract meaningful insights and patterns. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding how to handle and process video data for data analysis applications.
See salaries and explore the career path for Data Scientist
Product Manager
Product Managers are responsible for defining and managing the development of products. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding the technical aspects of video streaming applications.
See salaries and explore the career path for Product Manager
Business Analyst
Business Analysts assess and improve business processes. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding the business value and applications of video streaming technologies.
See salaries and explore the career path for Business Analyst
Technical Writer
Technical Writers create documentation and other materials to explain technical concepts. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding the technical aspects of video streaming applications.
See salaries and explore the career path for Technical Writer
Quality Assurance Engineer
Quality Assurance Engineers test and evaluate software and systems to ensure they meet quality standards. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding the testing and evaluation of video streaming applications.
See salaries and explore the career path for Quality Assurance Engineer
IT Manager
IT Managers plan and manage the implementation and operation of information technology systems. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding the technical aspects of video streaming applications.
See salaries and explore the career path for IT Manager
Sales Engineer
Sales Engineers provide technical expertise and support to sales teams. The course on Amazon Kinesis Video Streams - Getting Started may be useful in understanding the technical aspects of video streaming applications.
See salaries and explore the career path for Sales Engineer

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 Amazon Kinesis Video Streams - Getting Started.
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It good resource for anyone who wants to learn more about the fundamentals of deep learning.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Secret Colors
Save
Provides a comprehensive overview of data-intensive applications. It covers topics such as data modeling, data storage, and data processing. It good resource for anyone who wants to learn more about the fundamentals of data-intensive applications.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Drawing Codes
Save
Provides a comprehensive overview of machine learning. It covers topics such as supervised learning, unsupervised learning, and deep learning. It good resource for anyone who wants to learn more about the fundamentals of machine learning.
Drawing Codes: Experimental Protocols of...
Hardcover
$$
Cover image
Probability and Statistics for Computer Science
Save
Provides a comprehensive overview of computer vision. It covers topics such as image processing, object recognition, and scene understanding. It good resource for anyone who wants to learn more about the fundamentals of computer vision.
Probability and Statistics for Computer Science
Paperback
$$$
Probability and Statistics for Computer Science
Kindle Edition
$$$
Cover image
Digital Video and HD
Save
Provides a comprehensive overview of video processing. It covers topics such as video capture, video processing, and video transmission. It good resource for anyone who wants to learn more about the fundamentals of video processing.
Digital Video and HD
Paperback
Check
Digital Video and HD
Kindle Edition
Check
Cover image
Seismic Data Interpretation using Digital Image...
Save
Provides a comprehensive overview of image and video processing. It covers topics such as image enhancement, image restoration, and video processing. It good resource for anyone who wants to learn more about the fundamentals of image and video processing.
Seismic Data Interpretation using Digital Image...
Paperback
Check
Seismic Data Interpretation using Digital Image...
Kindle Edition
Check
Cover image
Computer Vision
Save
Provides a comprehensive overview of computer vision. It covers topics such as image processing, object recognition, and scene understanding. It good resource for anyone who wants to learn more about the fundamentals of computer vision.
Computer Vision
Paperback
Check
Computer Vision
Kindle Edition
Check
Cover image
Digital Image Processing, Global Edition
Save
Provides a comprehensive overview of digital image processing. It covers topics such as image enhancement, image restoration, and image segmentation. It good resource for anyone who wants to learn more about the fundamentals of digital image processing.
Digital Image Processing, Global Edition
Paperback
$$$
Cover image
Data Science for Business
Save
Provides a comprehensive overview of data science. It covers topics such as data collection, data analysis, and data visualization. It good resource for anyone who wants to learn more about the fundamentals of data science.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
AWS Certified Solutions Architect Study Guide with...
Save
Comprehensive study guide for the AWS Certified Solutions Architect - Associate exam. It covers all of the topics that are tested on the exam, including Amazon Kinesis Video Streams.
AWS Certified Solutions Architect Study Guide with...
Paperback
Check
AWS Certified Solutions Architect Study Guide with...
Kindle Edition
Check

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Amazon Web Services
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AWS Instructor
Language
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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops the key concepts of streaming media applications for video devices and machine learning applications
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