Learning path to become AWS Cloud Engineer DEV Community

AWS Academy provides higher education institutions with a free, ready-to-teach cloud computing curriculum that prepares students to pursue industry-recognized certifications and in-demand cloud jobs. Our curriculum helps educators stay at the forefront of AWS Cloud innovation so that they can equip students with the skills they need to get hired in one of the fastest-growing industries. AWS Certification validates cloud expertise to help professionals highlight in-demand skills and organizations build effective, innovative teams for cloud initiatives using AWS.

This article explores cloud computing fundamentals, cloud characteristics, service models, and the importance of cloud computing for today’s businesses. As an AWS Solutions Architect, you can work in-house, as a consultant, full-time, or as a contractor. Depending on your interests and career goals, there are opportunities to specialize in security, compliance, data management, and machine learning. This skill is all about understanding the basics of cloud computing.

What Are the Career Paths of a Cloud Computing Engineer?

Containerization means abstracting applications from one another in the cloud and it makes the applications very easy to deploy on the cloud. Therefore learning Docker or Kubernetes will give me a good push toward being a good cloud engineer. Working knowledge about how the internet works and networking is extremely crucial to cloud roles since it is based on provisioning centralized computing resources over the cloud.

  • Cloud computing is reaching new heights each day without giving any indications of its downfall.
  • Cloud engineers have a median base salary of $96,449, according to data from Glassdoor.
  • However, here’s an approximate salary range to give you an idea of what to expect.
  • They are also experts on how to migrate on-premises workloads to the cloud.
  • Cloud engineering encompasses devising, managing and maintaining resources of computer infrastructure.
  • Predictive auto-scaling
    involves using machine learning and previous data to anticipate how many instances will be required to handle the workload at any given time.

AWS engineers work with large amounts of data, so it’s important to understand how networks and security systems function. AWS uses virtual private clouds (VPCs) to create isolated sections of the internet where their clients’ data can be stored. This requires a lot of networking knowledge to set up properly. If your school doesn’t have such a program, consider taking courses in networking, security, databases and software development to prepare for this role. You may also want to take elective courses in subjects like artificial intelligence, machine learning and big data analytics to be better prepared for the future.

Enhancing AWS Lambda with Dynamic Code Loading from S3

You can join online communities, such as LinkedIn groups, and attend industry events and conferences to meet other professionals. Additionally, consider joining the AWS Partner Network or becoming an AWS Certified Instructor to connect with other professionals in the field. Dynamic auto-scaling, on the other hand, spins up instances on the fly based aws cloud engineer on target metrics decided by the cloud engineer. Some common metrics are CPU usage, requests per minute on the program, or container resource usage. Most high level dynamic auto-scaling implementations utilize all of these metrics to ensure a sufficient number of instances. Now we know the basic steps you’ll need to take to become a cloud engineer.

  • Additionally, consider participating in hackathons, coding challenges, and other events that allow you to work on real-world AWS projects.
  • Your approach directly depends on whether you will become a successful AWS cloud engineer or not.
  • Cloud engineer was one of the highest-paying tech jobs of 2018.