AWS Certified Machine Learning-Specialty Training (ML-S)

ML colleagues, this program includes 7 hours of training that will equip you to pass the AWS Machine Learning-Specialty (ML-S) Certification exam. Data Engineering instruction covers the ingestion, cleaning, and maintenance of data on AWS. Exploratory Data Analysis (EDA) covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services. Machine Learning Modeling addresses feature engineering, performance metrics, overfitting, and algorithm selection. Operations covers deploying models, A/B testing, using AI services versus training your own model, and proper cost utilization. Skill-based modules focus on: 1) AWS Machine Learning-Specialty (ML-S) Certification, 2) Data Engineering for ML on AWS, 3) Exploratory Data Analysis on AWS, 4) Machine Learning Modeling on AWS, 5) Operationalize Machine Learning on AWS, 6) Create a Production Machine Learning Application, and 7) Case Studies on Sagemaker, DeepLense, Kinesis Features, AWS Flavored Python and Cloud9.

Register today at: https://tinyurl.com/ya6ko8sg

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)