Description
AWS Certified Machine Learning Specialty 2026 – Hands On! is a practical, project-driven training program designed to prepare learners for one of Amazon’s most challenging certifications. You’ll explore real AWS machine learning workflows using services like SageMaker, Glue, Kinesis, and DynamoDB. The course covers essential ML fundamentals, engineering techniques, algorithm selection, and high-level AWS AI services. Taught by industry expert Frank Kane, this program helps learners gain the confidence and applied skills needed to pass the AWS MLS-C01 exam.
What You’ll Learn
- Key topics and common exam subjects for the AWS Machine Learning Specialty
- Working with Amazon SageMaker: built-in algorithms (XGBoost, BlazingText, object detection)
- Feature engineering: imputation, outlier handling, binning, scaling, normalization
- High-level AWS AI/ML services (Comprehend, Translate, Rekognition, and more)
- Data engineering with S3, Glue, Kinesis, DynamoDB
- End-to-end ML workflows on AWS
- Practical hands-on lab exercises
Who This Course Is For
- Intermediate AWS users preparing for the MLS-C01 exam
- ML practitioners wanting real AWS project experience
- Data engineers and cloud engineers expanding into ML
- Professionals aiming to validate machine learning skills with AWS certification
Course Specifications
Publisher: Udemy
Teachers: Sundog Education (Frank Kane), Stéphane Maarek, Sundog Education Team
Language: English
Level: Intermediate
Lectures: 168
Duration: 14 hours and 58 minutes
Prerequisites
- Associate-level AWS knowledge (EC2, S3, IAM, etc.)
- Basic understanding of machine learning concepts
- AWS account for hands-on labs
File Size: 2.99 GB