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AWS Kinesis learning hub

Amazon Web Services (AWS) Kinesis is a cloud-based service that enables users to process and analyze large amounts of streaming data simultaneously. Learning to use AWS Kinesis can help you qualify for various career roles.

Learn more about what AWS Kinesis is, how you can choose a learning path that works best for you, and what career options may be available to professionals with this skill set.

What is AWS Kinesis?

AWS Kinesis is a cloud-based service for collecting, processing, and analyzing large volumes of real-time streaming data from various sources. Analyzing data as it comes in allows businesses to quickly collect and make sense of information from various sources.

This service can help track live events, monitoring systems in real time, building video analytics applications, and processing data from devices that send information frequently.

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Choosing the right AWS Kinesis program for you

Building skills in AWS Kinesis can take place over a variety of different program types. The best program for you will depend on your career goals, availability, budget, and learning preferences.

Here are some of the main ways to approach learning AWS Kinesis:

Courses

Courses can give you basic, foundational information on a topic in a few weeks to a few months. These courses may help jumpstart a new career or help facilitate advancing in your current role.

Certificates

Some programs, such as edX's AWS Solutions Architect course, offer the option to receive a certificate upon completion. Earning a certificate can be a helpful credential to add to your résumé and help you stand out in a crowded job market.

Executive education programs

Executive education programs provide targeted education on valuable topics tailored for managers and business leaders. These programs cover subjects such as data science, data analysis, artificial intelligence (AI) and digital transformation, information technology, and cybersecurity. Most programs can be completed online in six to eight weeks.

Degrees

An undergraduate degree in computer science or data science can provide you with a foundational education for a career working with AWS Kinesis. Many software development and computer science careers may require applicants to hold a bachelor's or master's degree in a related field.

Jobs in AWS Kinesis

Understanding AWS Kinesis can help you land various career roles in information technology. Most jobs requiring proficiency with AWS Kinesis are attainable with a bachelor's degree.

Here are a few positions that having experience with AWS Kinesis may help you qualify for, with each role's required education as well as salary data from the Bureau of Labor Statistics (BLS):

Software development engineer

Software development engineers design computer applications and programs. Using AWS Kinesis, they can perform real-time analytics on data, build applications that react to events as they happen, and trigger actions based on live data streams.

Optional certifications are available that may help you land a software development engineer job, such as AWS Certified Developer-Associate, Microsoft Certified Azure Developer Associate, and Certified Software Engineer (CSE) from the National Society of Professional Engineers (NSPE).

  • Required education: Bachelor's degree in computer and information technology, mathematics, engineering, or a related field; some employers may also require a master's degree
  • Median annual salary (May 2023): $132,270
Data scientist

Data scientists use analytical tools to elicit meaningful insights from data. They may use tools such as AWS Kinesis to collect and process large amounts of real-time, streaming data from various sources. This allows them to perform real-time analysis and find anomalies more quickly.

Although not mandatory, optional certifications for data scientists exist from organizations such as Principal Data Scientist (PDS) from the Data Science Council of America (DASCA), Azure Data Scientist Associate from Microsoft, and Data Scientist Professional Certificate from IBM.

  • Required education: Bachelor's degree in statistics, mathematics, business, computer science, or a related field
  • Median annual salary (May 2023): $108,020
Cloud engineer

A cloud engineer, sometimes referred to as a computer network engineer or a computer network architect according to the BLS, is an information technology professional responsible for designing, implementing, managing, optimizing, and maintaining cloud infrastructure, services, and solutions for organizations. They may utilize cloud platforms such as AWS in their work. Essential skills for a cloud engineer include understanding networking and security, programming skills, knowledge of scripting languages, and proficiency in database management.

Optional certifications, such as the AWS Certified Solutions Architect Associate, are available for those pursuing a career as a cloud engineer.

  • Required education: Bachelor's degree in computer and information technology, engineering, or a related field; some employers may also require a master's degree, while others may accept applicants with no bachelor's degree but extensive experience in the field
  • Median annual salary (May 2023): $129,840

Learn AWS Kinesis online with edX

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    Frequently asked questions

    Why should I learn AWS Kinesis?

    AWS Kinesis is a valuable skill for career roles that involve live analytics, real-time monitoring, and fraud detection across various industries. If these careers appeal to you, gaining proficiency in AWS Kinesis may help make you a more competitive candidate for positions in tech-driven sectors that prioritize timely data insights and decision-making.

    How long does it take to learn AWS Kinesis?

    Mastering AWS Kinesis online can take anywhere from a few weeks to a few months. The time required to become experienced with this service will depend on your existing experience with the AWS ecosystem, writing applications, and streaming concepts.

    How hard is it to learn AWS Kinesis?

    Learning AWS Kinesis should be relatively easy if you have a basic understanding of cloud computing and simple programming concepts.