AWS Certified Machine Learning – Specialty Crash Course

Pearson Live Virtual Training

Pearson Live Virtual Training is offered through participating Pearson VUE® Authorized Test Centers.

Pearson VUE Participating Test Centers

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This live virtual training course covers the essentials of machine learning on AWS and prepares a candidate to sit for and clear the AWS Machine Learning-Specialty (ML-S) certification exam. Instructor Noah Gift covers the four core areas of the certification: Data Engineering, EDA (Exploratory Data Analysis), Machine Learning Modeling, and ML Operations. The final portion of the course covers real-world case studies of Machine Learning problems on AWS.

This Live Virtual Training is for:

● AWS Certified Machine Learning – Specialty certification candidates.
● DevOps engineers who want to understand how to operationalize ML workloads.
● Software engineers who want to master machine learning terminology and practice on AWS.
● Machine learning engineers who want to solidify knowledge on AWS Machine Learning practices.

You will learn:

● How to perform Data Engineering tasks and Machine Learning Modeling tasks on the AWS platform
● How to use Exploratory Data Analysis (EDA) to solve machine learning problems on AWS
● How to operationalize Machine Learning models and deploy them to production on the AWS platform
● How to think about the AWS Machine Learning-Specialty (ML-S) Certification exam to optimize for the best outcome


  • 1-2 years of experience with AWS and 6 months using ML tools.
  • Ideally, candidates would have already passed the AWS Cloud Practitioner certification.

*Note – Live virtual training is a crash course intended to be part of a candidate's larger study & prep plan toward certification.

Course Set-up:

  • For this course, attendees need a free AWS account: https://aws.amazon.com/.
  • Attendees also need a reliable Internet connection and a web browser.

Your Instructor

Noah Gift
Noah Gift

Noah Gift is lecturer and consultant at both UC Davis Graduate School of Management MSBA program and the Graduate Data Science program, MSDS, at Northwestern. He is teaching and designing graduate machine learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities including leading a multi-cloud certification initiative for students. He has published close to 100 technical publications including two books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, a M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo.

This course is not open for enrollment.