Amazon AWS Certified Machine Learning - Specialty Bundle

If your goal is to validate your ability to build, deploy, tune, and train machine learning models on AWS, Amazon offers to obtain the AWS Certified Machine Learning – Specialty certificate. Those IT specialists who hold this certification have experience in performing the basic hyperparameter optimization as well as working with ML and deep learning frameworks. They are also able to follow operational, model-training, and deployment best practices.

Usually, the path is taken by those individuals who perform the data science or development role. This means that the potential candidates have the skills in expressing the intuition behind common ML algorithms. It is also recommended that they possess 2 years of hands-on experience in performing the development, architecting, and running processes required for ML in AWS Cloud. You should also be able to express the intuition behind the common ML algorithms.

Exam Overview

Amazon MLS-C01 is a qualification exam of this certification path that you need to clear in order to obtain this specialty-level certificate. You will be given 180 minutes to deal with 65 questions and complete the test. The items are presented in the multiple-choice or multiple-response format, and you should get 750 points while answering them. The exam costs $300 and covers the following topics:

• Data Engineering – This section includes the details of data repositories that should be created for machine learning. It is also important to have the skills in identifying and implementing data transformation and data ingestion solutions. This means that you should also know about the data job styles or types, transformation of data transit, data sources and their identification, as well as data ingestion pipelines;
• Exploratory Data Analysis – To answer the questions from this area, the potential candidates need to have the skills in analyzing and visualizing data for machine learning. Besides that, an individual should be able to perform feature engineering and know how to sanitize and prepare data for modeling. Therefore, it is vital to know how to handle missing data, stop words, corrupt data, and analyze feature engineering concepts;
• Modeling – As for the next exam area, it is about the ML models, which you should be able to evaluate, and the performance of hyperparameter optimization. You have to get the skills in training these models and know which ones to select for a given ML problem. Being familiar with how to frame business problems as the ML ones is also vital for the potential candidates;
• ML Implementation and Operations – If talking about the last domain, it evaluates your skills in deploying and operationalizing machine learning solutions. It is also important to understand how to build these ML solutions for fault tolerance, performance, resiliency, scalability, and availability. Besides that, you need to know about the ML services and features and be able to recommend and implement them for a given problem. Applying the AWS security practices to the ML solutions is what you need to know about as well.

Career Options

Validating your skills with this Amazon certification after dealing with its qualification exam is what will bring you many new opportunities. Thus, you will be able to expect a higher salary or even find a better position for yourself. With this specialty-level certificate, you can become a Principal Solution Architect, a Community Specialist, a Big Data Specialist, a Senior Technical Architect, or a Cloud Security Specialist with an average salary of $142,000.