AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 4 Machine Learning Implementation and Operations

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Noah Gift

25:45

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01 - Overview-mls-c01-cert-prep-4-machine-learning-implementation-.mp4

00:45

02 - AWS environment logging and monitoring-mls-c01-cert-prep-4-ma.mp4

01:22

03 - Multiple regions, multiple AZs-mls-c01-cert-prep-4-machine-le.mp4

01:31

04 - Reproducible workflows-mls-c01-cert-prep-4-machine-learning-i.mp4

01:40

05 - AWS flavored DevOps-mls-c01-cert-prep-4-machine-learning-impl.mp4

01:35

06 - Provisioning EC2-mls-c01-cert-prep-4-machine-learning-impleme.mp4

01:26

07 - Compute choices-mls-c01-cert-prep-4-machine-learning-implemen.mp4

01:10

08 - Provisioning EBS-mls-c01-cert-prep-4-machine-learning-impleme.mp4

01:20

09 - AWS AI machine learning services-mls-c01-cert-prep-4-machine-.mp4

04:04

10 - Principle of least privilege (PLP)-mls-c01-cert-prep-4-machin.mp4

01:19

11 - Integrated security-mls-c01-cert-prep-4-machine-learning-impl.mp4

02:00

12 - SageMaker workflow-mls-c01-cert-prep-4-machine-learning-imple.mp4

02:51

13 - Predictions with SageMaker Canvas-mls-c01-cert-prep-4-machine.mp4

01:54

14 - Retraining models-mls-c01-cert-prep-4-machine-learning-implem.mp4

01:16

15 - Summary-mls-c01-cert-prep-4-machine-learning-implementation-a.mp4

01:32

Description

Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the machine learning implementation and operations portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. This domain involves building machine learning solutions that are performance, available, scalability, resiliency, and fault tolerant. Noah explains using AWS environment logging and monitoring, building error monitoring, and using multiple regions and multiple AZs. He goes over how to use AMI/golden images and docker containers. Noah covers auto-scaling groups, as well as rightsizing instances, volumes, and provisioned IOPS. Plus, he shows you how to use load balancing and follow AWS best practices.

This course was created by Noah Gift. We are pleased to host this training in our library.

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Machine Learning

Amazon AWS

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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