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MLOps key concepts. Cover Image E-video E-video

MLOps key concepts.

Gift, Noah, (presenter.). Pragmatic AI Solutions (Firm), (publisher.).

Summary: MLOps Key Concepts - An Ongoing Series Select MLOps Key Concepts This video series live coding languages iteratively thus learning the language. Lessons Covered Include: 1.0 MLOps Hierarchy of Needs: DevOps, DataOps, Platform Automation and MLOps Learning Objectives Learn key terminology and concepts in machine learning, data science, data operations and DevOps Understand foundational concepts in MLOps Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.

Record details

  • Physical Description: 1 online resource (1 video file (29 min.)) : sound, color.
    remote
  • Edition: [First edition].
  • Publisher: [Place of publication not identified] : Pragmatic AI Solutions, [2022]

Content descriptions

Participant or Performer Note: Noah Gift, presenter.
Source of Description Note:
Online resource; title from title details screen (O'Reilly, viewed August 23, 2022).
Subject: Machine learning
Machine learning
Genre: Instructional films.
Internet videos.
Nonfiction films.
Instructional films.
Nonfiction films.
Internet videos.

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