Plan your AWS
Certication Journey
TRAINING AND CERTIFICATION
From a non-IT background,
switching to a cloud career?
Start with: AWS Certi
ed
Cloud Practitioner to validate
foundational AWS Cloud
knowledge, then earn AWS
Certied AI Practitioner to
showcase AI knowledge.
Outcome: Sharpens your
competitive edge. Positions you
for in-demand cloud and AI job
roles and to earn additional AWS
Certications.
In sales/marketing or other
business roles?
Start with: AWS Certied
Cloud Practitioner to validate
foundational AWS Cloud
knowledge, then earn AWS
Certied AI Practitioner to
showcase AI knowledge.
Outcome: Sharpens your
competitive edge with in-demand
AI and cloud knowledge and
positions you for career
advancement and higher pay.
Do you have 1-3 years of IT or
STEM background?
Start with: An Associate-level
AWS Certi
cation that aligns
with your role. AWS Certied AI
Practitioner is recommended to
validate conceptual AI knowledge.
Outcome: Boosts your condence
and credibility in contributing
to AI and machine learning
projects. Sets you up for career
advancement, higher pay, and to
earn advanced AWS Certications.
Which AWS Certication should I start with?
AWS Certication Paths
Below are top cloud job roles, role responsibilities, and AWS Certication Paths aligned with those roles. Select
the role(s) you are interested in and get started or continue your AWS Certication journey to achieve your career
goals. Note: You are not required to follow these paths. These are recommended pathways. AWS Certied Cloud
Practitioner is an optional step for candidates with an IT or STEM background. AWS Certied AI Practitioner is
recommended for IT and non-IT professionals looking to leverage AI.
Application Architect
Design signicant aspects of
application architecture including
user interface, middleware,
and infrastructure, and ensure
enterprise-wide scalable, reliable,
and manageable systems.
Dive Deep
Optional for IT/
cloud professionals
Recommended for IT/cloud
professionals to leverage AI
Solutions Architect
Design, develop, and manage
cloud infrastructure and assets,
work with DevOps to migrate
applications to the cloud.
Cloud Data Engineer
Automate collection and
processing of structured/semi-
structured data and monitor data
pipeline performance.
Dive Deep
Machine Learning
Engineer
Optional for IT/
cloud professionals
Recommended for
IT/Cloud professionals
working on AI/ML projects
Software
Development Engineer
Develop, construct, and maintain
software across platforms
and devices.
Optional for IT/
cloud professionals
Recommended for IT/cloud
professionals to leverage AI
Test Engineer
Embed testing and quality best
practices for software development
from design to release, throughout
the product life cycle.
Cloud Engineer
Implement and operate an
organization’s networked computing
infrastructure and Implement security
systems to maintain data safety.
Dive Deep
Optional for IT/
cloud professionals
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.
Dive Deep
Optional for IT/
cloud professionals
Recommended for IT/cloud
professionals to secure
AI/ML systems
Network Engineer
Design and implement computer
and information networks, such
as local area networks (LAN),
wide area networks (WAN),
intranets, extranets, etc.
Dive Deep
Optional for IT/
cloud professionals
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.
Optional Dive Deep
Machine Learning
Engineer
Optional for IT/
cloud professionals
Recommended for
IT/Cloud professionals
working on AI/ML projects
DevSecOps Engineer
Accelerate enterprise cloud
adoption while enabling rapid
and stable delivery of capabilities
using CI/CD principles,
methodologies, and technologies
Optional for IT/
cloud professionals
Dive Deep
Optional for IT/
cloud professionals
Recommended for IT/cloud
professionals to secure
AI/ML systems
Here’s what AWS Certication holders have to say:
“Certications add credibility and demonstrate my commitment to learning and
implementing best practices in real-life projects. The AWS Certied Solutions Architect –
Professional and AWS Certied DevOps Engineer – Professional certications gave me the
best ratio of time and eort to value and have done the most for my reputation.”
—Igor Soroka, freelance cloud software consultant
“Now I have a much better understanding of the AWS ecosystems, what services exist,
and what use cases t each service. I started with the AWS Certied Solutions Architect
– Associate and I now hold 10 AWS Certication(s). What I learned really changed my
perspective of what’s possible in the cloud and transformed the way I work and how
quickly I can get things done.”
—Rola Dali, Senior Lead, Data Science
Ready to get started? Select the exam(s) aligned
with your career goals and follow the steps below to
approach exam day with condence!
Step 1
Get to know the
exam with exam-style
questions
Step 2
Refresh your AWS
Knowledge and skills with
AWS Skill Builder
Step 3
Review and practice for
your exam in
AWS Skill Builder
Step 4
Assess your exam
readiness. Approach
exam day with confidence
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2024, Amazon Web Services, Inc. or its a iliates. All rights reserved.
New to IT and Cloud Line-of-Business Roles IT Professionals
Roles and responsibilities AWS Certification Paths
Architecture
Data Analytics
Development
Systems Administrator
Install, upgrade, and maintain
computer components and
software, and integrate
automation processes.
Dive Deep
Optional for IT/
cloud professionals
Operations
DevOps
Security
Prompt Engineer
Design, test, and rene text
prompts to optimize the
performance of
AI language models.
Networking
AI/ML
Dive Deep
Optional for IT/
cloud professionals
Recommended for IT/cloud
professionals to leverage AI
Machine Learning
Engineer
Optional for IT/
cloud professionals
Dive Deep
Machine Learning
Engineer
Optional for IT/
cloud professionals
Recommended for
IT/Cloud professionals
working on AI/ML projects
Machine Learning
Engineer
Research, build, and design
articial intelligence (AI) systems
to automate predictive models,
and design machine learning
systems, models, and schemes.
Machine Learning
Engineer
Dive Deep
Optional for IT/
cloud professionals
Optional for
AI/ML professionals
Machine Learning Ops
Engineer
Build and maintain AI and ML
platforms and infrastructure.
Design, implement, and
operationally support AI/ML
model activity and deployment
infrastructure.
Optional for IT/
cloud professionals
Optional for
AI/ML professionals
Machine Learning
Engineer
Data scientist
Develop and implement AI/
ML models to solve business
problems. Train and ne tune
models and evaluate their
performance.
Machine Learning
Engineer
Optional for IT/
cloud professionals
Optional for
AI/ML professionals