LIVE TRAINING

SAVE THE DATE: January 11th, 2021 @12pm EST

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Mohamed Sabri published the book “Data Scientist Pocket Guide” that guides data scientists in their day to day and helps them learn some secrets to become good data scientists.

LIVE TRAINING: Introduction to PYTHON for Programming 

October 12th @12 PM EST

Save 30% : Register Now

Price: $147

Regular price $210, discounted 10%
  • 4 hour immersive session

  • Hands-on training with Q&A

  • Recording available on-demand

  • Certification of Completion

30% Discount Ends in:

Subscribe and get an additional 10% to 35% off ALL live training session
View Plans

Pricing: $147

Regular price $210, discounted 30%
  • 4 hour immersive session

  • Hands-on training with Q&A

  • Recording available on-demand

  • Certification of Completion

30% Discount Ends in:

Subscribe and get an additional 10% to 35% off ALL live training session
View Plans

Meet Your Instructor

Mohamed Sabri

Mohamed fascinated by technology and information. He has a passion for data science (artificial intelligence, predictive analytics, business intelligence, etc.).
Work and team cohesion is the secret to the success of all his professional and personal projects.
He has published the book Data Scientist Pocket Guide” that guides data scientists in their day to day and help them learn some secrets to become good data scientists.

Course Overview

What’s the plan? 

By taking this course, you will discover how to use Kubeflow to create a pipeline that retrains a machine learning model automatically and then redeploy the new model on top of an existing one. This process is a complex case that is common in MLOps. Allowing the company to automate the retraining and redeployment process. This material is based on 100% open-source tools that are most popular today in MLOps. This will help you master a new set of tools that are popularized in the field.

Course Outline

What’s the plan? 

Matt Harrison has been working with Python and data since 2000. He has a computer science degree from Stanford. He has worked at many amazing companies, created cool products, wrote a couple books, and taught thousands Python and Data Science. Currently, he is working as a corporate trainer, author, and consultant through his company Metasnake, which provides consulting and teaches corporations how to be effective with Python and data science.

Course Overview

Python is a powerful tools that XXX

Join the live session with Mohamed Sabri

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Course Outline 

Module 1:
MLOps 101

Module 2:
Kubernetes AND Kubeflow

Module 3:
Presentation of the use case on Reddit

Module 4:
Create the kubernetes cluster

Module 5:
Pre-configuration and installation

  • What is MLOps ?
  • MLOps is not just deployment 
  • MLOps is like DevOps but for ML
  • Presentation of the technologies
  • Use cases
  • The business problem
  • Current situation
  • The architecture
  • Setup your AWS account
  • Create the cluster
  • Install necessary libraries on IDE
  • Connect to AKS cluster

Module 6:
Initialize Kubeflow

Module 7:
Deploy a sample project

Module 8:
Deploy our use case pipeline

  • Deploy kubeflow on AKS
  • Create a configuration file
  • Deploy from UI
  • Explore the notebooks
  • Explore the pipeline 
  • Setup the cluster 
  • Deploy the pipeline
  • Run the pipeline

Key on emojidex Key Details

DATE

TIME:

DURATION:

LEVEL:

JANUARY 11th, 2021

TIME: 12 PM EST, 9 AM PST

4 HOURS

INTERMEDIATE

Prerequisites

Understanding of containerization

Good understanding of Python

Upcoming Live Training

XXth

XXX

XXX.

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