Video description
Enterprise MLOps InterviewsLearn Enterprise MLOps from the experts
This video series interviews the experts at MLOps to learn how to use MLOps to build and deploy ML models.
Interviews Include:
- 1.0: Introduction
- 2.0: GPT-3: O'Reilly authors Shubham Saboo and Sandra Kublik:
- I talk with the authors of the new O'Reilly book GPT-3 about a range of topics, including why they wrote the book.
- 3.0: Conversation with Piero Molino and Ludwig/Predibase:
- Detailed conversation about Declarative AutoML with Piero Molino, author of Ludwig and co-founder Predibase.
- 4.0: Asaf Somekh, CEO Iguazio:
- Talk at Duke MIDS MLOps Course: Life of a Model (or the brutal reality of applying ML in enterprises and how to deal with it).
- 5.0: Javier Luraschi and Pedro Luraschi, Co-Founders of Hal9.ai:
- Discuss MLOps with Javascript, including no-code and low-code approaches and Tensorflow.js.
- 6.0: Malcolm Smith Fraser, ML Engineer at DoorDash and graduate student at Duke University MIDS
- Discuss building an MLOps pipeline with AWS components including SQS, Lambda and Batch.
- 7.0: Jon Reifschneider, Head of Artificial Intelligence Product Innovation at Duke University
- Discuss the role of MLOps in the AI industry as well as demonstrate how MLOps can be used to build career mapping tools.
- 8.0: Julien Simon, Hugging Face
- Discuss the use of MLOps via pre-trained models and how to use MLOps to build and deploy models as well as create a career.
- 9.0: Shubham Saboo and Noah Gift on MLOps and GPT-3 do live coding and cover both AWS and OpenAI in codespaces.
- 10.0: Discuss MLOps with long-time Python guru Brian Ray, managing director of Maven Wave, and Atos Company.
- 11.0: Simon Stebelena is the lead MLOps engineer at Transaction Monitoring Netherlands.
Topics Covered Include:Enterprise MLOps
- MLOps
- MLOps on AWS
- MLOps on GCP
- MLOps on Azure
- MLOps and DevOps
- MLOps with Ludwig
- Feature Engineering
- MLOps with Tensorflow.js
- MLOps with Pytorch
- Building career paths with MLOps
- Duke and Coursera
- 10 step to MLOps in the Enterprise
Learning Objectives- Create a Github Repo and launch it in a Codespaces instance
- Create a Jupyter Notebook and save it to a Colab instance
- Ingest Data from a CSV file into a Jupyter Notebook
- Do EDA
- Build and test your data science project with Github Actions and nbval
Additional Popular Resources
Table of Contents
Lesson 1
“Enterprise Mlops Interview Intro”
Lesson 2
“Gpt 3 Book Interview”
Lesson 3
“52 Weeks Cloud Ep 28 Piero Molino Ludwig”
Lesson 4
“Day Life Model Iguazio”
Lesson 5
“Hal9 Javascript Mlops”
Lesson 6
“Real World Mlops With Malcolm Smith Fraser Duke Mids Alumni”
Lesson 7
“Mlops With Head Of Duke Artificial Intelligence Pi Ms Program”
Lesson 8
“Hugging Face Enterprise Mlops Interview”
Lesson 9
“Live Coding Openai With O Reilly Author Shubham Saboo”
Lesson 10
“Enterprise Mlops Interview Brian Ray”
Lesson 11
“Enterprise Mlops Interview Simon Stiebellehner”