Introduction to Azure Machine Learning

How to get started with Azure Machine Learning This 1-day...

Join us!

Mimmit koodaa program is aimed at women, and this event is intended for women only. Our goal is to provide a safe and encouraging environment for women in the technology sector and those who want to enter the field. The event offers an opportunity to network, share experiences, and strengthen the community for women.

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If you have any questions, please contact us by email: info@mimmitkoodaa.fi

Mimmit koodaa

Introduction to Azure Machine Learning

Enroll here!

27.11.2021 9:00-16:00
Level: Beginner
Target audience: Vasta-alkaja
Event type: Workshop
Location: F2F session / Possible Teams
Address: Keilalahdentie 2-4 (Microsoft)
Pre-work: Existing Azure account and subscription or ability to create one. Recommend using Azure Free Account and creating the account 1-2 days before the workshop.
Language: English
Number of participants: 25
Bring your laptop: Yes

Enroll here

How to get started with Azure Machine Learning

This 1-day workshop targets to give the attendees basic knowledge about what Machine Learning is and how to get started with it. We will have short theory session about the topic and example use cases, after which we will work hands-on with Azure Machine Learning to train your Machine Learning models with no-code, low-code and code-first (python) approaches.

That’s right, you don’t necessarily need to code a line to train and evaluate a ML model, and to implement inference and scoring for your ML model!

Day’s agenda

  • Introduction to Machine Learning
  • Introduction to Azure Machine Learning
  • Hands-on Labs

Pre-requisites:

  • Own laptop
  • Existing Azure account and subscription or ability to create one (requires credit card or bank card for user verification). We recommend using Azure Free Account (Create Your Azure Free Account Today | Microsoft Azure) and creating the account 1-2 days before the workshop. Note that when creating the account, you will receive $200 (€168.66) credit for 30 days to your account that you want to save for the workshop.

 

Difficulty

Beginner – experience with Azure or other cloud is beneficial but not mandatory.

Language

Materials and sessions are in English.

Location

Keilalahdentie 2-4 (Microsoft) if COVID situation permits a F2F session. If not, we will conduct the workshop through Teams. In case we are able to arrange the workshop on Microsoft premises, Microsoft will provide lunch for attendees. Please, tell your special dietary in registration.

 

NB! The number of participants in the workshop is limited. If you cannot attend the workshop, be sure to consider others and remember to cancel your participation. No show means that you can’t participate in our following workshops for half a year.

Jonna Fred-Jokela

Cloud Solution Architect

Nuoli

Jonna works at Microsoft as Cloud Solution Architect focusing on Azure Data & AI technologies. In her daily work, she helps enterprises to design, implement and operate different kind of data-driven solutions in Azure. Prior to joining Microsoft, Jonna worked as an analytics consultant and developer for several years.

Helen Priisalu

Data Engineering and Machine Learning

Nuoli

Helen works at Microsoft as Sr. Cloud Solution Architect with Azure AI technologies, guiding and educating enterprises about advanced analytics and its possibilities.

Helen by her own words: “I have been working in big data and analytics space all my career, from developer to technical lead, with focus on Machine Learning. On my daily work, I love to be ‘hands-on’ and know my solutions’ building blocks. When I started at university in computer science program, I was one of the two girls out of 170 boys in program. Since then things has changed, I have had more and more talented female colleagues, and now we are hosting ‘Mimmit Koodaa’! I am passionate about Machine Learning, and to make it part of real complex customers solutions, I rejoined the university for academical research while working with customers cases. I spend my free time with children – when my daughter grew up I enjoyed dancing, now when my son grows up I know all about hockey and football!”

“I believe IT is as creative as art”