Module 7 - ML Ops with H2O.ai


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Model operations is a critical component in creating value from machine learning models. After all, models are just experiments until they are deployed and used in business applications, to generate insights, or to make decisions. In this course, you will see how to use Model Ops to deploy, manage, and govern models in production environments.

Learning Outcomes
  • Describe how operators on the IT team can work together with data scientists to deploy models in production
  • Determine how to monitor models running in production and what to look for
  • Identify when to retrain models and how to put new versions of models into production without interrupting downstream services

Key:

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Session 1(Slides & Replay): Deploying Models with H2O.ai
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our first ML Foundations Course session Module 7.
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Session 1: Deploying Models with H2O.ai Assignment
Select the "Read" button to begin.
Select the "Read" button to begin.
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Quiz 1: Deploying Models with H2O.ai
10 Questions  |  3 attempts  |  8/10 points to pass
10 Questions  |  3 attempts  |  8/10 points to pass
You must register to access.
Session 2 (Slides & Replay): MLOps with H2O.ai
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our second ML Foundations Course session Module 7.
You must register to access.
Session 2: MLOps with H2O.ai Assignment
Select the "Read" button to begin.
Select the "Read" button to begin.
You must register to access.
Quiz 2: MLOps with H2O.ai
10 Questions  |  3 attempts  |  8/10 points to pass
10 Questions  |  3 attempts  |  8/10 points to pass
You must register to access.
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  • rn
    On 12/10/2020 at 7:01 AM (PST), ramkumar nimmakayala wrote:

    could you please let me know what is the last date for completing all the quizzes in order to get a badge?

    Reply
  • RS
    On 12/04/2020 at 9:22 AM (PST), Rino Simeone wrote:

    Task 2: typo:

    "When the model model makes the prediction, it returns the cooling condition and not the original test data."

    Reply
  • FV
    On 11/09/2020 at 11:03 AM (PST), Franklin Velasquez wrote:

    Hi, Session 2 will be posted soon. We apologize for the delay and for any inconvenience 

    Reply
  • RS
    On 12/08/2020 at 10:29 AM (PST), Rino Simeone wrote:

    Hi. Still missing recording for session 2...

    Reply
  • RS
    On 11/07/2020 at 5:04 AM (PST), Rino Simeone wrote:

    Hi: last session (Session 2: MLOps with H2O.ai) still not available as recording + slides...

    Reply
  • RS
    On 11/06/2020 at 8:07 AM (PST), Rino Simeone wrote:

    Since I could only see a very partial and limited part of the session, when the recording will be available ? Thanks.

    Reply
  • TR
    On 11/05/2020 at 7:20 AM (PST), Terrence Rideau wrote:

    Would it be possible to post the meeting id and password for future meeting in this section for future meetings?  I know Zoom changes things, with the way there app works, so I think this would help.

    Reply
  • TR
    On 11/05/2020 at 7:08 AM (PST), Terrence Rideau wrote:

    Hey Reno... I guess its not just me 1f626.png

    Reply
  • RS
    On 11/05/2020 at 7:06 AM (PST), Rino Simeone wrote:

    Can't connect... Keeps going down !

    Reply
  • TR
    On 11/05/2020 at 7:04 AM (PST), Terrence Rideau wrote:

    I am having issues getting in.  Zoom is requesting password

    Reply