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Saturday, November 23, 2019
AWS Certified Machine Learning-Specialty (ML-S) – Your ticket to new ML career and earnings opportunities
AI and ML Pros, this program covers the
essentials of Machine Learning on AWS and prepares a candidate to sit for the
AWS Machine Learning-Specialty (ML-S) Certification exam. Four main categories
are covered: Data Engineering, EDA (Exploratory Data Analysis), Modeling, and
Operations. The course offers the following tools to help users pass the exam: Each
lesson module includes a five-question multiple-choice quiz in the style of the
AWS ML exam. There are 39 quizzes, with a total of 195 questions. Practice Exam: A multiple-choice practice exam is
included in the style of the AWS ML exam. This exam totals 50 questions and
takes one hour to complete. You Will Learn How to perform data engineering
tasks on AWS* How to use Exploratory Data Analysis (EDA) to solve machine
learning problems on AWS, How to perform
machine learning modeling tasks on the AWS platform, How to operationalize machine learning models and
deploy them to production on the AWS platform, as well as How to think about the AWS Machine Learning-Specialty
(ML-S) Certification exam to optimize for the best outcome. Build high-demand skills
via the following training modules: 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 – AWS SageMaker, and 7) Case Studies including
Sagemaker Features, DeepLense Features, Kinesis Features, AWS Flavored Python and
Cloud9. Career
success awaits you, Lawrence Wilson – Artificial Intelligence Academy
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