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.
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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