Webinar I Workshop II Webinar II Workshop I

Building Recommendation system using Azure Machine Learning

Azure DevOps Solution with Python Application

Deploy Machine learning models in Azure Functions with Python and TensorFlow

Developing Cloud Native Application with Python

Recording Available Recording Available Recording Available Recording Available
       

Workshop I
Developing Cloud Native Application with Python

27th June 2020 | 9:00am to 5:00pm
Speaker
: Sonu Sathyadas

Recording Available

Description:

This session is about the cloud native applications using Python. A cloud native application is leveraging the features and services of the cloud. Application will be highly available and scalable. It uses the cloud services for database storage, caching and deployment. Application can take the benefits of cloud features such as staged deployment and continues deployment. This session helps you to understand how to deploy a cloud native python application in the Azure cloud environment and take benefits of the Azure services.

Agenda

  • Python Web Application Overview

  • Connecting to cloud databases (CosmosDB/SQLServer)

  • Deploying to AppServices

  • Staged deployment using Slots

  • Enabling continues deployment

  • Scaling python application

  • Monitoring application

  • Securing application

 

Workshop II
Azure DevOps Solution with Python Application

20th June 2020 | 9:00am to 5:00pm
Speaker
: Sonu Sathyadas

Recording Available

Description:

This session is exploring the feature of Azure DevOps for a Python application. Azure DevOps is a cloud based DevOps platform for monitoring and managing the application lifecyle efficiently. This session helps you to understand the various components of Azure DevOps platform such as Boards, Repositories and Pipelines. This session covers how the Source Code Management (SCM) feature can be enabled for the Python application and how to automate the build process of the Python application. Also, it covers the automated deployment of Python application into the Azure PaaS services.

Agenda

  • Introduction to Git

  • Source Code Management using Git

  • Overview of Azure DevOps

  • Azure Boards

  • Azure Repositories

  • Automated Build using build pipelines

  • Continues Deployment using release pipelines

                            

Webinar I
Building Recommendation system using Azure Machine Learning

11th June 2020 | 2:30pm to 4:30pm
Speaker
: Chandrashekhar B

Recording Available

Description:

Build a Recommender system trained with a custom Algorithm for Recommenders (SAR) for the sample dataset on Azure Machine Learning service. Use the power of the cloud to manage data, switch to powerful GPU machines, and monitor runs while training a model.

Agenda

  • Connect to an Azure Machine Learning service workspace

  • Access Sample data from a datastore

  • Connect to CPU and GPU machines from Azure Machine Learning Compute

  • Create a training script using the recommender repo's util functions for SAR and add logging information

  • Submit the training job to AzureML, and monitor the run with a Jupyter widget

  • Test an existing model with new user data

  • Deploy the model to a web service using Azure Container Instance

Webinar II
Deploy Machine learning models in Azure Functions with Python and TensorFlow

25th June 2020 | 10:00am to 1:00pm
Speaker
: Nabajyoti Boruah

Recording Available

Description:

In this session, participant will learn how to use Python, TensorFlow, and Azure Functions with a machine learning model to classify an image based on its contents.

Agenda

  • Initialize a local environment for developing Azure Functions in Python

  • Import a custom TensorFlow machine learning model into a function app

  • Build a serverless HTTP API for classifying an image

  • Consume the API from a web app

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