LIVE TRAINING: October 21st: Getting Started with Practical MLOps


Details
This is a PAID event.
Registration is required: https://aiplus.training/live/getting-started-with-practical-mlops-live-training/
Level BEGINNER
Instructor's bio: Noah Gift, MLOps Expert | Solopreneur | Author | Duke & Northwestern & UC Davis Adjunct Professor | CTO | Pragmatic AI Labs
Author of Practical MLOps, Pragmatic AI, and Python for DevOps. 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.
Abstract:
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This training takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models. Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This training gives you a head start.
Course Outline
- Getting Started with MLOps
- Building containerized MLOps command-line tool
- Build Containerized ML Web Microservice Applications
- Continuous Delivery Containerized App
Which knowledge and skills you should have?
Basic Python, Linux and Cloud knowledge
What is included in your ticket?
- Access to the live training and a QA session with the Instructor
- Access to the on-demand recording
- Certificate of completion
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LIVE TRAINING: October 21st: Getting Started with Practical MLOps