What to Learn After AWS

Explore complementary skills and advanced topics to pursue after AWS.

Gain comprehensive knowledge on Amazon Web Services (AWS), the leading Cloud infrastructure service with a 33% market share. Learning AWS opens a myriad of career opportunities in data analysis, machine learning, and cybersecurity, all high-demand fields in today's tech-driven job market.

Key Insights

  • AWS is a versatile cloud computing platform used by individuals, corporations, and public-sector organizations, including NASA and Netflix.
  • Learning AWS provides a strong foundation for careers in data management and data analytics, enabling making informed business decisions based on large data interpretation.
  • Machine learning, a process of producing self-learning computer programs, can significantly benefit from AWS as it provides the computing power necessary for training these programs.
  • Due to the extensive use of AWS by numerous firms, gaining cybersecurity skills can lead to high-paying jobs, ensuring the protection of data from threats.
  • Learning AWS through Noble Desktop guarantees professional training from expert instructors, available both in-person and online.
  • With AWS skills, potential career salaries can range widely, with cybersecurity professionals earning around $103,590 per year, machine learning engineers earning around $112,806 per year, and data analysts earning around $75,253 per year.

AWS is a distributed Cloud computing service that lets users pay a fee to take advantage of Amazon’s hardware and computing resources. This makes it an ideal platform for anyone wanting to work on complicated computer science projects. If you already know how to use AWS, you might consider learning some other advanced computing skills that often utilize AWS applications. Some of these include data analysis projects, machine learning projects, and cybersecurity infrastructure projects. We’ll cover all of these advanced computing processes below so you have a clear understanding of what skill you want to tackle next. 

What is AWS?

Released to the public in 2002, Amazon Web Services is the most commonly used Cloud Computing Platform among individuals, corporations, and public-sector organizations. AWS encompasses a wide range of services. As of 2022, this includes more than two hundred distinct services, including cloud data storage, database management, data analytics, machine learning, and distributed computing services, and the number of services available is only set to continue growing as Amazon expands its computing capabilities. At the time of writing, Amazon Web Services is the leader in Cloud infrastructure services with a 33% market share, more than its two primary competitors (Microsoft Azure and Google Cloud) combined.

Amazon Web Services is an incredibly trusted Cloud computing service and counts among its clients NASA, Netflix, the Department of Defense, and Bloomberg. Amazon Web Services is such a trusted network in terms of reliability and security that the UK’s Ministry of Defense and the MI:5 and MI:6 intelligence agencies have contracted AWS to host classified information. This level of security and coverage means that learning AWS will also be a vital part of a cybersecurity curriculum, as many organizations and institutions use the service to store sensitive data and information. Regardless of what aspect of the world of computer science you work in, it is very likely that you will interact with AWS in a meaningful capacity.

Read more about what AWS is and why you should learn it. 

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What Can You Do with AWS?

Given that AWS is a collection of over two hundred different cloud computing services, there are an almost endless number of different things you can do through AWS. On an enterprise level, AWS allows organizations and businesses to host and store huge amounts of data and utilize Amazon’s various data analysis tools to interpret, catalog, and use that data. AWS also allows groups to take advantage of Amazon’s computer infrastructure to train machine learning programs or assist in web development. AWS is also a common-hosting platform for web applications.

AWS is also used in a wide variety of different contexts outside of the world of business. It is such a versatile service that companies and organizations have found ways to tailor AWS services to their needs. The NFL uses AWS for advanced statistical analysis and data-driven sports science, and MI:6 uses the same platform to store classified information of vital national security interest. The versatility of the services offered by AWS lets the same users building machine learning algorithms host those tools for companies wanting to perform significant data analytics projects. As the AWS cloud computing platform grows, so does the scope of projects it can handle.

Machine Learning

Machine learning refers to the process of producing computer programs that can read and interpret data without requiring a human being to actively input commands. These applications are used in everything from chatbots and auto-complete features to complex recommendation algorithms and AI development projects, such as AI art programs. Since they require a huge amount of computing power and access to incredibly large amounts of data to train the programs, machine learning projects often lean on services like AWS to provide them with the necessary hardware infrastructure. 

Students interested in machine learning career options should consult the machine learning training options offered through Noble Desktop.

Cybersecurity

One of the most important features of AWS is the data storage and server space that it offers to users. This is a way for companies and organizations to store and manage huge amounts of data without paying a premium for maintaining their own server space. This comes with the downside of placing all of your data on the same platform and infrastructure as some of the world's largest corporate and public sector companies. This means that learning AWS users can greatly benefit from learning cybersecurity practices to protect this data from threats. Cyber security is an in-demand career field, so learning it alongside AWS is especially valuable to anyone hoping to work at a large firm.

More information on Noble’s cybersecurity courses can be found on its website.

Data Analytics

One of the most common uses for AWS is to functionally rent out Amazon’s server space for additional data storage. Any company or organization storing this much data will also want to understand better how to use that data. While AWS provides tools to help with this, those tools need to be used judiciously and deliberately to turn that raw data into actionable information. Learning data analytic skills will help users learn how to shift through huge amounts of data to make informed decisions based on the kinds of information that they are collecting. These skills are used in advertising, financial decisions, non-profit advocacy, and political campaigning. No matter what interests you, there is a good chance that data analytics is important to some element of the process.

To learn more about the data analytic training options available to you, please consult Noble’s webpage.

Key Insights

  • Students who have mastered the AWS platform can use that knowledge to help them build their skills in several other in-demand career fields.
  • Students interested in data management and data analytics can learn how to use AWS to interpret large amounts of data to make informed business and administrative decisions.
  • For anyone interested in machine learning, AWS is useful for bypassing the human element of data interpretation to train machines to read and interpret data.
  • AWS is such a massive platform used by so many firms that learning cybersecurity is a great way to find a high-paying job.
  • No matter what skills you plan to learn, Noble Desktop is here to help you with in-person and live online training options.

Learn AWS with Hands-on Training at Noble Desktop

Those interested in learning how to utilize AWS and the various computing processes available through the service may want to receive guidance on using these tools. Anyone looking for this guidance can find it through the professional training services offered by Noble Desktop. These classes are available in-person at Noble’s Manhattan campus or online in private digital classrooms. Regardless of how you take these classes, students will be taught by expert instructors who have years of experience working with AWS. Class sizes, even those online, are kept small so students won’t have to worry about competing with their classmates for their instructor’s attention. Plus, anyone enrolling in a Noble training course can retake the class any time within a calendar year for free. This will ensure that students have even more time to practice their AWS skills.

People who are interested in an overview of the tools offered by Amazon and their basic functions will want to enroll in Noble’s Cloud Computing with AWS course. This class will teach participants how to build enterprise-level cloud computing environments for various professional purposes. Students will learn how to use cloud infrastructure for building networks and databases and receive practical, hands-on training in these skills to be ready to apply their training once they enter the professional world. This is an excellent course for those who want to work with AWS tools but aren’t sure that they want to specialize in a specific aspect of the program suite.

AWS is vital to modern cybersecurity infrastructures because many major institutions and organizations utilize the platform. If you’re interested in entering this important and growing career field, you will want to enroll in Noble’s Cybersecurity Bootcamp. In this immersive, career-focused training program, students will learn how to analyze and engineer cybersecurity systems for Python, Linux, and cloud computing databases like AWS. As more important and sensitive data is stored on cloud systems, businesses will become more invested in their cybersecurity infrastructure. In this class, students will learn techniques for monitoring, analyzing, and planning cybersecurity systems, how to discover weaknesses and potential exploits in a system, and how to recognize attackers and security breaches. This is an ideal course for any student who wants to enter into a new career in the in-demand field of cybersecurity. You may also wish to explore their other options for cybersecurity classes and bootcamps through Noble Desktop.

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