AWS Certification Path
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Architecture
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
Software Development Engineer
- Develop, construct, and maintain software across platforms and devices

Operations
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
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

Security
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
Network Engineer
- Design and implement computer and information networks, such as local area networks (LAN), wide area networks (WAN), intranets, extranets, etc.

Data Analytics
Cloud Data Engineer
- Automate collection and processing of structured/semi-structured data and monitor data pipeline performance

AI/ML
Machine Learning Engineer
- Research, build, and design artificial intelligence (AI) systems to automate predictive models, and design machine learning systems, models, and schemes
