Sascha Dittmann has created a series of videos I’m showing how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure.

In the second video of this 5-part series, you’ll discover how to connect Azure DevOps to your Azure Subscription, as well as create and configure Azure Machine Learning Services from your DevOps pipeline.

If you haven’t yet seen the first video in this series, it’s here on Frank’s World and on YouTube.  

Subscribe for more free data analytics videos: https://www.youtube.com/saschadittmann?sub_confirmation=1And don’t forget to click the bell so you don’t miss anything. Share this video with a YouTuber friend: https://youtu.be/mZUdYu345dg

If you enjoyed this video help others enjoy it by adding captions in your native language:https://www.youtube.com/timedtext_video?v=mZUdYu345dg

Watch my most recent upload: http://bit.ly/2OihAlj

Recommended links to learn more about DevOps for Machine Learning (MLOps):

The GitHub repo with the example code I used: https://github.com/SaschaDittmann/MLOps-Lab

Azure DevOps: https://azure.microsoft.com/en-us/services/devops/

Azure Machine Learning Service: https://azure.microsoft.com/en-us/services/machine-learning-service/

Azure Machine Learning CLI Extension: https://docs.microsoft.com/en-us/azure/machine-learning/service/reference-azure-machine-learning-cli

✅ For business inquiries contact me at [email protected]

✅ Let’s connect:Twitter: https://twitter.com/SaschaDittmannFacebook: https://www.facebook.com/DataDrivenDevInstagram: https://www.instagram.com/saschadittmann/LinkedIn: https://www.linkedin.com/in/saschadittmannGitHub: https://github.com/SaschaDittmann

DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support my channel and allows me to continue making awesome videos like this. Thank you for the support!

#MLOps #DevOpsForMachineLearning #AzureMLIn this series of videos I’m showing how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure.

In the second video of this 5-part series, you’ll discover how to connect Azure DevOps to your Azure Subscription, as well as create and configure Azure Machine Learning Services from your DevOps pipeline.

If you haven’t yet seen the first video in this series, I strongly recommend that you do so:

Subscribe for more free data analytics videos:
https://www.youtube.com/saschadittmann?sub_confirmation=1
And don’t forget to click the bell so you don’t miss anything.

Share this video with a YouTuber friend:

If you enjoyed this video help others enjoy it by adding captions in your native language:
https://www.youtube.com/timedtext_video?v=mZUdYu345dg

Watch my most recent upload: http://bit.ly/2OihAlj

Recommended links to learn more about DevOps for Machine Learning (MLOps):

The GitHub repo with the example code I used:
https://github.com/SaschaDittmann/MLOps-Lab

Azure DevOps:
https://azure.microsoft.com/en-us/services/devops/

Azure Machine Learning Service:
https://azure.microsoft.com/en-us/services/machine-learning-service/

Azure Machine Learning CLI Extension:
https://docs.microsoft.com/en-us/azure/machine-learning/service/reference-azure-machine-learning-cli

✅ For business inquiries contact me at [email protected]

✅ Let’s connect:
Twitter: https://twitter.com/SaschaDittmann
Facebook: https://www.facebook.com/DataDrivenDev
Instagram: https://www.instagram.com/saschadittmann/
LinkedIn: https://www.linkedin.com/in/saschadittmann
GitHub: https://github.com/SaschaDittmann

DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support my channel and allows me to continue making awesome videos like this. Thank you for the support!

#MLOps #DevOpsForMachineLearning #AzureML

Job postings in the AI space have been going up consistently in the last two years, with a 46% hike between 2018-19, and a 51% hike between 2019-20.

The AI & Analytics field was already in growth mode prior to the pandemic and Snowflake’s recent IPO.

If you’re curious about shifting your career in this direction, here’s a great overview of the skills needed for a career in AI.

Reports state that a large number of companies are really keen to pull specialist talents in artificial intelligence and machine learning. This has resulted in a 51% spike in job postings that have been seen during the last year. The times now are quite […]

Sascha Dittmann shows us how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure in this first in a series of videos.

In the first video of this 5-part series, you’ll discover how to create an Azure DevOps project, import sample machine learning code and create a DevOps pipeline to process simple Data Quality Checks.I use services like Azure DevOps and Azure Machine Learning Services for this challenge.

The Visual Studio team has spent quite a bit of time recently improving Git integration in Visual Studio 2019.

PMs Pratik Nadagouda and Taysser Gherfal show the latest updates, including the new Git Repository window and Merge Conflict Resolution improvements, as well as additional ease of use features.

For more information, see the blog post at https://aka.ms/newvsgitblog.

In this video,  Rohit Nayak and Ann Hoffman will cover the Deny Public Network Access setting for SQL Database.

Customers can use this setting to block all public access via firewall rules and exclusively rely on private endpoint connections.

Chapters:
  • [01:03] How to shut down public connectivity to my databases
  • [01:44] Deny public network access demo
  • [04:06] Private endpoint connections demo
Resources:

This video features Scott Hunter who is the PM director for the .NET team.

We chat about the challenges that come with growing your scope, applying the lessons learned in startups and consulting to large corporations, and his early days working on BBS (bulletin board systems) for fun lead to meeting the people he’d need to know to grow his career.

Chapters:

  • 00:39 – Meet Scott Hunter, Director of Program Management for .NET
  • 01:46 – What does a director of program management do day to day?
  • 05:26 – How did Scott managed his transition to director of all of .NET from his previous role?
  • 08:41 – How did Scott get the role? Taking initiative to find the right place.
  • 12:31 – Growing scope and managing perceived identities, from ASP.NET to just .NET
  • 17:31 – Why team cultures differ and don’t align even when they ship in the same product
  • 19:14 – How did Scott learn and build the skills to make these transitions? Practicing integration in early startup days,
  • consulting.
  • 22:47 – Most important lesson from previous managers: Don’t surround yourself with people like yourself and building a team with diverse opinions
  • 25:13 – Deciding between going with a new project or continuing along on a journey not complete.  
  • 28:00 – Accidentally attending Microsoft’s conference and joining Microsoft
  • 31:55 – Moving from dev to PM and learning communication skills
  • 33:45 – Becoming a manager and intentionally stopping himself from coding
  • 37:20 – How did Scott into computers? Typing programs into the Commodore PET he stole from his dad.
  • 38:35 – Scott’s history of working on Wildcat BBS to avoid forklift driving
  • 41:52 – Turbo Pascal and hanging at Anders Hejlsberg’s house and serendipity
  • 43:58 – Failing his first Microsoft interview, knowing what you want.
  • 45:36 – Trust your internal sense of when to act fast