AWS Certified Machine Learning Specialty Video Course

Format: On-demand video training with guided hands-on exercises.

Length:  12 hours of Instructor-led Video Lessons.

AWS Certification: AWS Certified Machine Learning Specialty (MLS-C01) exam.

Level: Intermediate/Advanced. Solid AWS knowledge recommended (Associate level).

Course Material: All diagrams, code, links, files and slides are available for download (in PDF format).

Instructors: Karim El-Kobrossy (Lead-Instructor) and Neal Davis (Co-Instructor)

Target Audience: Candidates preparing for the AWS Certified Machine Learning Specialty exam who want to deepen their AWS knowledge.

Access: This course is part of the ultimate training package (video course, practice exams and training notes). It can also be accessed via our monthly or annual Membership Subscription.

Click on the image below to find out why students choose Digital Cloud Training to prepare for their AWS exams.

You’ll learn the following skills (grouped by domain):

Domain 1:  Data Engineering

Create data repositories for machine learning

Identify and implement a data ingestion solution

Identify and implement a data transformation solution

Domain 2: Exploratory Data Analysis

Sanitize and prepare data for modeling

Perform feature engineering

Analyze and visualize data for machine learning

Domain 3: Modeling

Frame business problems as machine learning problems

Select the appropriate model(s) for a given machine learning problem

Train machine learning models

Perform hyperparameter optimization

Evaluate machine learning models

Domain 4: Machine Learning Implementation and Operations

Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance

Recommend and implement the appropriate machine learning services and features for a given problem

Apply basic AWS security practices to machine learning solutions

Deploy and operationalize machine learning solutions