AWS Machine Learning

AWS Machine Learning

The AWS Machine Learning certification helps organizations find and nurture people with important skills for using cloud technology. Getting certified in AWS Certified Machine Learning - Specialty shows that you're skilled in creating, training, adjusting, and launching machine learning models on AWS. This certification exam is for people who work in artificial intelligence (AI) or data science. It proves you can plan, create, deploy, improve, train, adjust, and manage machine learning solutions for different business needs using AWS. This exam also validates the candidate's skills in the:

• Choosing the best machine learning method for a specific business issue.
• Picking the right AWS services for setting up machine learning solutions.
• Creating and setting up machine learning solutions that are big, cost-effective, reliable, and safe.

Who should take this exam?

The AWS Certified Machine Learning - Specialty certification is for people who work in development or data science roles and have over a year of experience developing, designing, or managing machine learning and deep learning tasks on the AWS Cloud. Before you take this exam, it's best if you:

• Have at least two years of practical experience working on machine learning or deep learning tasks on the AWS Cloud.
• Can explain the basic ideas behind machine learning algorithms.
• Experience in basic hyperparameter optimization.
• Are familiar with machine learning and deep learning frameworks.
• Can follow the best practices for training, launching, and managing models.

AWS Machine Learning Exam Topics

The AWS Machine Learning exam covers the following topics - 

• Domain 1: Understand Data Engineering (20%)
• Domain 2: Learn Exploratory Data Analysis (24%)
• Domain 3: Understand Modeling (36%)
• Domain 4: Explore Machine Learning Implementation and Operations (20%)