Do you want to acquire machine learning associate certification for your career growth? Or are you planning to give it an attempt? If yes, then here is the new and amazing ML certification which will be launched soon by Amazon on their official website. The credential that will be more beneficial for the Machine Learners Engineer position is named as AWS Machine Learning Engineer Associate exam.
This exam will help you to have a practical understanding of new tactics and concepts of ML engineering processes. So, if you are interested in enrolling in the AWS Machine Learning Engineer Associate exam, then you should know about how much money you will have to spend, what would be the benefits, and what are expected salary opportunities.
In this blog, we are going to explain the detailed exam structure of the AWS Machine Learning Engineer Associate and what it will be worth in the IT industry in the upcoming days. So without delaying too much, let’s start our blog:
What is AWS Machine Learning Engineer Associate Certification?
The AWS Machine Learning Engineer Associate Certification is one of the best upcoming ones which is especially designed by AWS to upgrade practical knowledge and expertise among professionals. These professionals will increase technical mastering proficiency regarding overall machine learning operations to direct all production processes.
Exam Outline
Below are some of the details regarding the AWS Machine Learning Engineer Associate exam:
Exam Name | AWS Machine Learning Engineer Associate Certification |
Exam Code | MLA-C01 |
Category | Associate |
Total no of Questions | 85 Questions |
Time Duration | 170 Minutes |
Test Provider | AWS |
Testing Options | Online Protected or Pearson VUE Testing Center |
Languages | English or Japanese |
Launch Date | 13th August 2024 |
Read more: Best Way to Ace AWS Certified Solutions Architect – Associate Exam In First Attempt
Domain Syllabus
Following are the topics that a professional will learn while opting for particular exam:
Domain Structure of AWS Certified Machine Learning Engineer – Associate | |||||
Data preparation for ML models | Model performance and metrics | ||||
Feature engineering | Model training | Security | |||
Model integration and deployment | Performance and cost optimization |
Target Audience
A professional should have one year of prior experience and demonstrate mastery proficiencies from different sectors, including backend software development, DevOps, MLOps, and data engineering positions, and data scientists.
Requirement for the exam
A professional should have one year of experience in leveraging Amazon SageMaker and AWS Services for Machine Learning engineering processes. And who want to pursue their successful career and direct all ML engineering operations.
Discover More: AWS Certifications Roadmaps
Price incurred for getting registered with AWS Certified Machine Learning Engineer Certification
The total amount of almost $75(USD) or ¥10,000(Japanese Yen) a professional will invest in taking this AWS Certified Machine Learning Engineer Exam to have a successful career.
Locations | Cost Incurred |
United Kingdom | £58.85 |
China | ¥545.34 |
Germany | €69.49 |
Russia | ₽598.19 |
Korea | ₩103590.38 |
France | €69.49 |
Australia | $111.70 |
Canada | $102.22 |
Turkey | ₺2442.70 |
India | ₹6263.74 |
Malaysia | RM351.75 |
Learn more about: AWS AI Practitioner Cost and Jobs
Future Benefits of Acquiring AWS Certified Machine Learning Engineer Credential
Just like other real suppliers in the IT Industry, AWS always cares about their professionals, so that’s why they come up with a diverse range of new certifications. This will help them to chase new career advancement in the career while delivering exceptional services in the field. When a professional completes this certification, they can take the advanced certifications that will help them in chasing growth in the field while demonstrating mastering proficiencies expertise.
Moreover, if you want to survive in this competitive environment, you need to get familiar with new techniques and tactics. So when a practitioner decides to opt for this particular exam, they will gain some practical benefits while stepping into the IT industry.
- Advanced Career Growth
The demand for machine learning is always high in the market. The experts want to learn advanced tools and techniques of ML which will help you to simplify overall production processes. To gain a successful career, a practitioner can opt for AWS Certified Machine Learning Engineer certification. This will increase the chance of career development as most of the recruiters want to hire the most talented candidates who can perform their duties effectively. When you ace the exam, you get a chance to showcase your mastering proficiency in how one can use advanced ML models for data preparation and efficient production processing.
- Increase the Chances of Professional Credibility in the IT Industry
The AWS Certified Machine Learning Engineer Certification will assist professionals in demonstrating expert-level technical skills regarding the machine learning industry. In the market, recruiting management and customers always value those professionals who want to design and integrate advanced models to ensure smooth data development.
- Delivered Tailored Solutions and Services
When a professional passes the AWS Certified Machine Learning Engineer Certification, he will become able to facilitate customized solutions according to requirements and problems that arise in the market. Different career backgrounds professionals who have simple foundational knowledge can explore advanced career opportunities in the industry. The practical examples in the certification can increase your critical analysis thinking to implement the optimum strategies for solving the associated issues.
- Secured Testing Offers
Amazon offers multiple certifications to professionals to attain career development in the market. The AWS Certified Machine Learning Engineer Credential will be conducted in two ways, you can either take them online through the portal or go personally to the exam center. This choice is up to the decision of the practitioner who wants to excel in the market.
- Encourages to perform challenging technical projects
Most of the companies in this era want to hire the most talented professionals who can complete their most challenging and risky projects on time. These demanding projects demand technical expertise and advanced knowledge about machine learning. It will help them use new techniques, tactics, and technologies to excel in the field.
Explore More: Worth and benefits of AWS Machine Learning Certification
Job Opportunities of AWS Certified Machine Learning Engineer Certification
Following are the job prospects for AWS Certified Machine Learning Engineer Certification:
Job Opportunities | Salary Expectation per year |
Developers | $100,300 |
Data Scientists | $165,100 |
Data Analysts | $68,500 |
Machine Learning Consultant | $125,629 |
Data Visualization Specialist | $81,000 |
Learn more: AWS Certification Jobs
Salary Prospects of AWS Certified Machine Learning Engineer-Associate Exam
The demand for AWS Certified Machine Learning Engineer Certifier is increasing in the market. Once a professional completes his associate certification in machine learning, their worth in the market also accelerates in the market. The salary expectation in the market ranges from $100K to $190K. When you have the certification, you can discuss the salary packages with the recruiting department.
Location | Annual Estimated Salary |
USA | $139,700 |
United Kingdom | £109,230 |
China | ¥1,015,160 |
Russia | ₽12,318,680 |
India | ₹11665450 |
Read more: AWS Cloud Solution Architect Salary in 2025
Verdict: Is Getting an AWS Certified Machine Learning Engineer Credential worth it?
We have shared all the important information regarding the new associate certification of AWS named AWS Certified Machine Learning Engineer – Associate. This blog contains proper guidance regarding the overall exam outline, different parameters to invest in the certification, and what are the possible outcomes that will help professionals make registration decisions. This will help them grow in a machine learning career.