Amazon AWS Certified Machine Learning - Specialty
- Exam: AWS Certified Machine Learning - Specialty (AWS Certified Machine Learning - Specialty (MLS-C01))
- Certification: AWS Certified Machine Learning - Specialty
- Certification Provider: Amazon
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If you are eager to know how to support various machine learning solutions and become a developer or a specialist within the data science scope, then you should opt for a popular certificate offered by Amazon, which is the AWS Certified Machine Learning – Specialty certification that can be earned by nailing MLS-C01 test.
Who Is AWS Certified Machine Learning – Specialty Certification Intended for?
As already stated, this certificate is designed for those candidates who are in positions related to data science or development. It is also for those individuals who can choose the best machine learning solutions for various business problems, select the right features of AWS that will facilitate the incorporation of machine learning solutions, and deploy machine learning resolutions that are safe, expandable, dependable, and cost-effective. Candidates who have substantial experience with deep learning frameworks & machine learning and are skilled in carrying out hyperparameter optimizations are also encouraged to get this certification. This certification is also aimed at talented IT workers who simply wish to have an industry-recognized certificate as validation of their skills in handling cloud technologies. Employees looking to build credibility and receive recognition from their company as a specialist skillful in leading cloud-related initiatives will also benefit by obtaining an AWS certification like this. In addition, people who wish to make their resumes stand out, and those interested in obtaining a high-value digital badge for social media can also capitalize on this certification.
Prerequisites for This Certificate
There are numerous prerequisites required for the AWS Certified Machine Learning – Specialty. For instance, the examinee must have 1-2 years of practical experience planning, creating, running, and managing deep learning workloads & machine learning on the AWS Cloud. The candidate must also be competent in model-training standards and creating & operating guidelines. Furthermore, candidates should have the acumen to elaborate on the reasons behind certain choices made in the machine learning algorithm. In addition to all the above, Amazon suggests that candidates use relevant AWS resources & training courses to help them fully prepare before attempting the final exam known as MLS-C01. Upon the successful completion of the AWS MLS-C01, the candidate will be awarded the AWS Certified Machine Learning - Specialty qualification. This AWS certificate will be valid for 3 years and can be renewed after the expiration date.
What Is AWS Machine Learning MLS-C01 Certification Exam?
Test MLS-C01 assesses a candidate’s ability to design, teach, refine, and implement machine learning models with the help of Amazon Web Service Cloud. It also checks whether a candidate can create, incorporate, and monitor various machine learning solutions. Overall, MLS-C01 is a 3-hour exam consisting of multiple-choice & multiple-response questions, and the student will have to score 750 points in order to pass it. The registration fee for such a test is USD 300 and the exam can be taken at local testing centers or online in English, Japanese, Simplified Chinese, and Japanese.
What Topics Are Tested in Exam MLS-C01?
The technical areas addressed by this test include the following:
- How to Engineer Data — for this first domain, students must show that they can make stores of data to be used for machine learning. They must also show that they can put remedies for data-ingestion into action and figure out the different ways in which data can be transformed.
- Exploring & Evaluating Data — the next topic checks whether candidates have the competency to sort & refine data for modeling purposes, engineer different elements for the chosen model, break down the data used by machine learning, and think of new data that could be inputted for machine learning purposes.
- Shaping Data— for this category, examinees must prove that they can aptly identify the business issues that are caused by issues in machine learning, decide which models are appropriate for the machine learning disturbances presented to them, and finally, train & improve all the models used in the process of machine learning. Candidates must also know the numerous pros & cons of various ML frameworks and be able to carry out hyperparameter optimizations by themselves.
- Incorporation and Uses of Machine Learning — for this final domain, candidates must demonstrate that they can develop ML remedies that increase durability, performance, fault tolerance, expandability, and availability. Students should also be able to suggest the right features & facilities of ML that can be deployed in order to eradicate the problems presented to them. Furthermore, applicants will be expected to incorporate AWS security methods with several ML solutions. They will also be expected to implement & run a range of ML resolutions.
What Career Opportunities Are Available for Certified Specialists?
Candidates who hold this AWS certificate can opt for career paths such as:
- AWS Data Scientist;
- Data Science Manager;
- Data Science Director;
- Machine Learning Engineer;
- Senior Machine Learning Engineer;
- Senior Data Analyst;
- Data Engineer;
- Business Insight & Analytics Manager;
- Director of Analytics;
- Senior Financial Analyst;
- Senior Software Engineer.
Moreover, each of these job roles comes with massive pay. According to Payscale their data on the aforementioned positions, the average annual income of an AWS Data Scientist is $96k while the salary of a Data Science Manager is around $137k per annum, and for a Data Science Director, the amount increases to almost $157k. The yearly earnings of a Machine Learning Engineer can be as high as $112k, and for a Senior Machine Learning Engineer yearly earnings can reach as much as $155k. The yearly income for a Senior Data Analyst is anywhere between $81k-$82k while for a Data Engineer the salary is about $92k. The average yearly salary of a Business Insight & Analytics Manager is around $99k, whereas a Director of Analytics can easily make around $128k per annum. The income per year of a Senior Financial Analyst can reach peaks of $102k. Finally, a Senior Software Engineer can make as much as $118k annually. If you were still wondering whether or not you should get the AWS Certified Machine Learning - Specialty certificate, then these abundant career choices and high salaries will definitely convince you to do so.
Once you’ve gained this AWS validation, you may specialize in other specialty fields offered by Amazon. Thus, you may pursue the AWS Certified Advanced Networking - Specialty or the AWS Alexa Skill Builder - Specialty qualifications.
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