About Amazon AWS Certified Machine Learning - Specialty Exam
The Amazon AWS Certified Machine Learning – Specialty certification validates the candidates’ competency in building, training, tuning, and deploying the machine learning (ML) models with the help of AWS Cloud. It is designed for those professionals who are currently performing the data science or development roles. To get this certificate, the applicants are required to complete the Amazon MLS-C01 exam.
Specifically, this certification exam measures the individuals’ skills in selecting and justifying the relevant machine learning approach for a given business problem, defining the proper AWS services to implement ML solutions, as well as designing and implementing cost-optimized, scalable, reliable, and secure machine learning solutions. The target candidates are recommended to possess 1-2 years of practical experience in developing, architecting, or operating ML/deep learning workloads on AWS Cloud. The applicants are also advised to have experience with fundamental hyperparameter optimization as well as ML & deep learning frameworks. Their skills in following model-training, deployment, operational best practices and expressing the intuition behind fundamental machine learning algorithms will be an added advantage.
The Amazon MLS-C01 exam contains 65 questions that are presented in the multiple-response and/or multiple-choice formats. The learners are given 180 minutes to complete the test. To pass this certification exam, the candidates are required to achieve the minimum passing score of 750 points out of 1000. The test may include the unscored questions that are used for statistical purposes only. These items will not affect the overall score of the exam. The MLS-C01 test can be taken as online proctored exam. Alternatively, the applicants have an option to sit it at one of the authorized testing centers. The exam is available in numerous languages, including English, Korean, Japanese, and Simplified Chinese and costs $300. If you want to receive the official practice test, you will be required to pay an additional $40.
The official webpage offers numerous useful resources to study for the Amazon MLS-C01 exam. The candidates are encouraged to start their preparation process with viewing the official study guide that contains the detailed information about the knowledge and skills measured in the test. After that, the learners can move to other training tools. There are several dedicated courses available on the website and these are enumerated below:
- Practical Data Science with Amazon SageMaker (virtual or in-person)
- The Machine Learning Pipeline on AWS (virtual or in-person)
- Process Model: CRISP-DM on the AWS Stack (digital)
- The Elements of Data Science (digital)
- Deep Learning on AWS (virtual or in-person)
Additionally, the potential students can take advantage of the Exam Readiness: AWS Certified Machine Learning – Specialty course, which will help them interpret the exam questions and distribute their study time correctly. This training is available in several formats, including classroom-based training with an AWS-accredited instructor, free digital training, as well as free webinars delivered by an IT specialist and followed by live Q&A.
The learners can supplement their preparation with the whitepapers developed by the AWS team, AWS partners, and independent analysts. They will help them improve their technical understanding of the exam topics. You can also look through the FAQs to get familiar with commonly raised questions and problems. The sample questions are another effective training tool that will help you get an insight into the format of the questions contained in the certification test. Moreover, the individuals are free to use alternative resources on the third-party platforms. They will find numerous books, guides, video tutorials on the Internet. However, you need to choose only reputable sites as they offer the most authentic and reliable study materials.
The syllabus of the Amazon MLS-C01 exam covers 3 domains. Each of these subject areas comprises specific knowledge and skills that the candidates must develop mastery in. The highlights of the topics included in this certification test are outlined below:
Topic 1: Data Engineering
The first section revolves around the applicants’ skills, such as creating data repositories for machine learning; determining and implementing a data-ingestion solution; determining and implementing a data-transformation solution.
Topic 2: Exploratory Data Analysis
Within this subject area, the examinees need to demonstrate that they are capable of sanitizing and preparing data for modeling; executing feature engineering; analyzing and visualizing data for machine learning.
Topic 3: Modeling
Here the students are required to prove their skills in framing business problems as ML problems; choosing the proper model(s) for a certain machine learning problem; training machine learning models; executing hyperparameter optimization; assessing machine learning models.
Topic 4: Machine Learning Implementation & Operations
The last domain of the certification exam measures the competency of the test takers in building machine learning solutions for availability, performance, resiliency, scalability, and fault tolerance; recommending and implementing the relevant machine learning services as well as features for a particular problem; applying the fundamental AWS security practices to machine learning solutions; deploying and operationalizing machine learning solutions.
Career Opportunities and Salary Potential
Machine learning is currently one of the most in-demand skills in the IT market. If you possess a solid ML expertise, then it definitely helps you find a new job or advance your career. The Amazon AWS Certified Machine Learning – Specialty certification is exactly what you need if you want to entry or move further in the machine learning domain. This certificate demonstrates to your potential employer that you possess what it takes to implement, design, deploy, and maintain ML solutions for particular business problems. Some of the job roles that you can consider after getting certified are enumerated below:
- Research Scientist
- Applied Scientist
- Senior Applied Scientist
- Machine Learning Data Engineer
- Computer Vision Engineer
- Software Development Engineer
- Interaction Design Specialist
Another pleasant thing about this certification is that it can help you significantly boost your earning potential. According to Glassdoor, the average salary that the certificate holders can count on is around $142,000 per annum. However, depending on your level of experience in the field, you can earn even more than this figure.