Mohamed Sallam- Posted on
There are 12 AWS certifications offered by Amazon Web Services (AWS) in 2023. These aws certifications path are classified according to the role and experience level. If you are planning to prepare for the AWS certification, then the first and most important step is to understand all the certifications and find out which certifications are most suitable for your career.
AWS Certification Levels are classified into four levels:
- Foundation
- Associate
- Professional
- Specialty
Each of these certification categories, except the Foundational certification, contains different certifications suitable for specific job roles. Let us find out the certifications that you can find in each category.
The foundational AWS certification can gain you entry into the AWS Cloud landscape. The only certification in this category is the AWS Certified Cloud Practitioner certification exam.
In the associate certifications category, you can find three AWS certifications. They are,
- AWS Certified Solutions Architect Associate
- AWS Certified Developer Associate
- AWS Certified SysOps Administrator Associate
The professional certifications essential for your AWS career includes the following,
- AWS Certified Solutions Architect Professional
- AWS Certified DevOps Engineer Professional
The specialty certifications in AWS include the following,
- AWS Certified Data Analytics Specialty
- AWS Certified Database Specialty
- AWS Certified Advanced Networking Specialty
- AWS Certified Machine Learning Specialty
- AWS Certified Security Specialty
- AWS on SAP (New Exam)
At the end of reading this aws certification list blog post, you will be able to choose the AWS certifications pathway 2023 which is suitable for your career. Note that, you need to go through a list of certifications to achieve a desired career goal, doing only one certification would not be sufficient for your career goals.
Role-Based Paths:
This AWS certification path focuses on building up the skills needed to move your career forward. Some AWS experts often refer to the role-based path as the “career path”.
Architecture Roles and Responsibilities:
Solutions Architect:
Design, develop, and manage cloud infrastructure and assets, work with DevOps to migrate applications to the cloud.
Application Architect:
Design significant aspects of application architecture including user interface, middleware, and infrastructure, and ensure enterprise-wide scalable, reliable, and manageable systems.
Development Roles and Responsibilities:
Software Development Engineer:
Develop, construct, and maintain software across platforms and devices.
Operations Roles and Responsibilities:
Systems Administrator:
Install, upgrade, and maintain computer components and software, and integrate automation processes.
Cloud Engineer:
Implement and operate an organization’s networked computing infrastructure and Implement security systems to maintain data safety.
DevOps Roles and Responsibilities:
Test Engineer:
Embed testing and quality best practices for software development from design to release, throughout the product life cycle.
Cloud DevOps Engineer:
Design, deployment, and operations of large-scale global hybrid cloud computing environment, advocating for end-to-end automated CI/CD DevOps pipelines.
DevSecOps Engineer:
Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using CI/CD principles, methodologies, and technologies.
Data Analytics Roles and Responsibilities:
Cloud Data Engineer:
Automate collection and processing of structured/semistructured data and monitor data pipeline performance.
Security Roles and Responsibilities:
Cloud Security Engineer:
Design computer security architecture and develop detailed cyber security designs. Develop, execute, and track performance of security measures to protect information.
Cloud Security Architect:
Design and implement enterprise cloud solutions applying governance to identify, communicate, and minimize business and technical risks.
Networking Roles and Responsibilities:
Network Engineer:
Design and implement computer and information networks, such as local area networks (LAN), wide area networks (WAN), intranets, extranets, etc.
AI/ML Roles and Responsibilities:
Machine Learning Engineer:
Research, build, and design artificial intelligence (AI) systems to automate predictive models, and design machine learning systems, models, and schemes.
Conclusion:
The trend of AWS certifications is not going to out! AWS offers a dynamic cloud platform and brings new services, features, and certifications regularly. So, to validate your AWS cloud knowledge, it becomes important to choose the right AWS certification. Hope this aws article will prove as a complete guide to choose the right AWS certification as per your career.
Written By: Mohamed Sallam
