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Guide to AWS Certifications: Choosing the Right Path for Your Role

As cloud computing continues to grow, AWS certification is one of the important step for IT/Non-IT professionals who want to advance their careers. AWS provides a range of certifications designed for various roles.

In this blog, weโ€™ll explore the AWS certification paths for several key positions, helping you decide which certifications to pursue based on your career goals.

  • If you are from Non-IT background, working in sales and marketing then it is always good to Start with AWS Cloud Practitioner Certification. AWS Certified Cloud Practitioner that validates foundational knowledge of AWS Cloud and terminology.

  • If you are from IT background, having 1โ€“3 years of IT/STEM experience. I would suggest to skip AWS Certified Cloud Practitioner and start with Solution Architect Associate or Developer Associate certification. In below diagrams, I have denoted Cloud Practitioner as an optional with dotted border.
    Below I have list down the Role and corresponding certification path.

Also if you would like to understand eco system of AI services in AWS , AWS AI Practitioner is good way to start your AI journey.

Below I have list down the Role and corresponding certification path.

Solutions Architect

As a solutions architect you need to design, develop, and manage cloud infrastructure and resources. Collaborate with DevOps to migrate applications to the cloud.

aws_solution_Architect

Application Architect

As an Application architect, you need to make cloud native application scalable, reliable, and manageable across the entire enterprise.
aws_app_Architect

Cloud Data Engineer

As a Cloud Data Engineer, you need to use Cloud native services to automate the collection and processing of structured and semi-structured data, and monitor the performance of data pipelines.

Cloud_Data_Engineer

Cloud-Native-Software Development Engineer

As a Software Development engineer, you develop, build, and maintain software across various platforms and devices. You need understand about serverless development options, what cloud-native option that can be used effectively for software development, release process.

Development_Engineer

Systems Administrator

As an Systems Admin you install, upgrade, and maintain computer components and software on Cloud VMs, integrate automation processes. Understand what are the various option on cloud to automate the process of patching, making sure systems are compliant.

Systems_Administrator

Cloud DevSecOps Engineer

As a DevOps engineer you need to design, deploy, and operate large-scale global hybrid cloud environments. Advocate for end-to-end automated CI/CD DevOps pipelines.

Cloud_DevSecOps

Cloud engineer

As a Cloud engineer, you need implement and operate an organizationโ€™s networked computing infrastructure. Set up security systems to ensure data safety.

Cloud_Engineer

Cloud Security Architect

Design and implement enterprise cloud solutions. Apply governance to identify, communicate, and minimize business and technical risks. Similar to engineer, you should be aware security services.

Cloud_Security_Architect

Network Engineer

Design and implement computer and information networks, including local area networks (LAN), wide area networks (WAN), intranets, and extranets.

Network_Engineer

MLOps Engineer

Build and maintain AI and ML platforms and infrastructure, ensuring scalability, reliability, and efficiency across diverse environments to support data scientists and engineers. Design, implement, and operationally support AI/ML model activity and deployment pipelines, including continuous integration/continuous deployment (CI/CD) workflows, monitoring, and performance optimization to streamline production-grade machine learning solutions.

MLOps_Engineer

Machine Learning Engineer

As ML engineer, you design machine learning systems, models, and frameworks. Build artificial intelligence (AI) systems to automate predictive models.

Machine_Learning_Engineer

Data scientist

Develop and implement AI/ML models to solve complex business problems. Train and fine-tune models using large datasets to optimize accuracy and efficiency, ensuring alignment with business objectives. Evaluate model performance through rigorous testing and validation, deploying them into production environments

Data_scientist

I hope this blogs guides you deciding which certification path to choose to get desired role.

Top comments (1)

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briansuarezsantiago profile image
Brian

Truly interesting! ๐Ÿ‘๐Ÿป