Learn Microsoft Azure Batch

Name: Learn Microsoft Azure Batch
Rating: 3.4 (19 reviews)

Learn End to end Development of Azure Batch Services in the Microsoft Cloud

Created byKeval Adeshara

Last updated 4/2020

English

English [Auto],

What you'll learn

Step by Step guide to Learn Microsoft Azure Batch

Course content

5 sections • 11 lectures • 36m total length

Course Overview1:30
Explore high performance computing in the cloud with Microsoft Azure Batch, and learn to move workloads (simulation, machine learning, or rendering) to the edge.

Introduction3:51
Explore how Azure Batch enables scalable, high-performance computing in the cloud, including setup via the portal, automation with botnet applications, and deploying with docker containers for production-ready HPC workloads.
Azure batch use case2:27
Explore azure batch use cases, including financial simulations, media encoding, and parallel, independent tasks. Apply to brute-force, distributed documents, facial recognition, neural networks, and rendering workloads with dependencies.
Typical Azure Batch System Architecture1:34
Learn how to set up Azure Batch by uploading your app and inputs to storage, creating a job and tasks, then running and monitoring them on compute nodes.

Compute Pool Features4:32
Virtual Machine Images and Sizes4:13
Pool Size and Composition5:14
Learn how to size Azure Batch pools with fixed minimum capacity and auto scaling, including low-priority versus dedicated nodes, to balance cost and job throughput.
Jobs and Tasks3:01
Task features and application Choices3:09
Learn Azure Batch covers three application options for tasks - blob storage references, application packages with versioning, and docker container images - plus task features like retries, timeouts, and dependencies.

Requirements

Recommenced Pre-Requisite = Azure Account

Description

Learn about Azure Batch, a Microsoft cloud computing service for running large-scale parallel and batch compute jobs.

Getting Started, will focus on the use of the Azure Batch service for job processing ,Containers ,Batch Processing .

Build and deploy machine learning models in a simplified way with Azure Machine Learning. Make machine learning more accessible with automated service capabilities.