AWS: Machine Learning Pipeline & Data Science with SageMaker + Exam Voucher

The AWS Certified Machine Learning – Specialty Course from Cloud Institute is intended for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud. In addition to helping you earn the AWS Certified Machine Learning – Specialty certification, this course will validate expertise in building, training, tuning, and deploying machine learning (ML) models on AWS. 
 

Audience: 

This course is intended for people who have: 

• At least two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud 
• Ability to express the intuition behind basic ML algorithms 
• Experience performing basic hyperparameter optimization 
• Experience with ML and deep learning frameworks 
• Ability to follow model-training, deployment, and operational best practices 

Prerequisites: 

There are no prerequisites required by AWS, but it is recommended that you hold the AWS Certified Cloud Practitioner or a current associate-level certification: AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate, or AWS Certified SysOps Administrator - Associate.