AWS Certified Machine Learning Specialty 2025 – Hands On!

AWS machine learning certification preparation - learn SageMaker, generative AI, data engineering, modeling & more

Created by: Sundog Education by Frank Kane
Join over 900K students learning ML, AI, AWS, and Data Eng.

Created by: Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
Best Selling Instructor, 10x AWS Certified, Kafka Guru

Created by: Frank Kane
Ex-Amazon Sr. Engineer and Sr. Manager, CEO Sundog Education

Created by: Sundog Education Team
Sundog Education Team

What Will I Learn?

• What to expect on the AWS Certified Machine Learning Specialty exam
• Amazon SageMaker's built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
• Feature engineering techniques, including imputation, outliers, binning, and normalization
• High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
• Data engineering with S3, Glue, Kinesis, and DynamoDB
• Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
• Deep learning and hyperparameter tuning of deep neural networks
• Automatic model tuning and operations with SageMaker
• L1 and L2 regularization
• Applying security best practices to machine learning pipelines

Requirements

• Associate-level knowledge of AWS services such as EC2
• Some existing familiarity with machine learning
• An AWS account is needed to perform the hands-on lab exercises

Target audience

• Individuals performing a development or data science role seeking certification in machine learning and AWS.