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.
Training Bundle: This course is part of the ultimate training package (video course, practice exams and training notes).
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