Git Product home page Git Product logo

mslearn-dp100's Introduction

Azure Machine Learning Lab Exercises

This repository contains the hands-on lab exercises for Microsoft course DP-100 Designing and Implementing a Data Science Solution on Azure and the equivalent self-paced modules on Microsoft Learn. The labs are designed to accompany the learning materials and enable you to practice using the technologies described them.

You can view the instructions for the lab exercises at https://aka.ms/mslearn-dp100.

What are we doing?

  • To support this course, we will need to make frequent updates to the course content to keep it current with the Azure services used in the course. We are publishing the lab instructions and lab files on GitHub to keep the content current with changes in the Azure platform.

  • We hope that this brings a sense of collaboration to the labs like we've never had before - when Azure changes and you find it first during a live delivery, go ahead and submit a pull-request to update the lab content. Help your fellow MCTs.

How should I use these files relative to the released MOC files?

  • The instructor guide and PowerPoints are still going to be your primary source for teaching the course content.

  • These files on GitHub are designed to be used in the course labs.

  • It will be recommended that for every delivery, trainers check GitHub for any changes that may have been made to support the latest Azure services.

What about changes to the student handbook?

  • We will review the student handbook on a quarterly basis and update through the normal MOC release channels as needed.

How do I contribute?

  • Any MCT can submit a pull request to the code or content in the GitHub repo, Microsoft and the course author will triage and include content and lab code changes as needed.

  • If you have suggestions or spot any errors, please report them as issues.

Notes

Classroom Materials

The labs are provided in this GitHub repo rather than in the student materials in order to (a.) share them with other learning modalities, and (b.) ensure that the latest version of the lab files is always used in classroom deliveries. This approach reflects the nature of an always-changing cloud-based interface and platform.

Anyone can access the files in this repo, but Microsoft Learning support is limited to MCTs teaching this course only.

mslearn-dp100's People

Contributors

graememalcolm avatar hales1991 avatar ammarasmro avatar grantcarthew avatar mikkeyboi avatar chaosex avatar azadehkhojandi avatar mtowse avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.