AutoML I

AutoML I

Build the foundational skills to construct predictive models to help you solve business problems.

About this Mission

Discover how DataRobot helps you gain important insights about your data to solve key business problems and build the foundational skills to create predictive models that bring value to your organization. This mission guides you through the process of completing AutoML projects and provides an in-depth look at each stage of the Machine Learning Life Cycle.

This mission replaces DataRobot Essentials, which is its equivalent. If you have previously taken DataRobot Essentials, you do not need to take this mission. This mission is equivalent to DataRobot for Data Scientists but designed for non-data scientists. Participants should choose one or the other (not both) depending on their level of expertise.

Mission format and duration: virtual instructor-led, hands-on, 10.5 hours

By the end of this mission, you will be able to:

  • Identify potential applications of AI to solve business problems
  • Define a problem to solve with machine learning
  • Recognize common data prep issues and how datasets are structured
  • Perform exploratory data analysis
  • Determine an appropriate prediction target and remove target leakage
  • Identify automated feature engineering in DataRobot
  • Select features for model building
  • Train and validate classification and regression models with DataRobot
  • Assess model quality based on relevant metrics and evaluation tools
  • Investigate and understand relationships that models have learned
  • Explain reasons for model predictions
  • Select an appropriate model for deployment
  • Generate predictions using a DataRobot model
  • Understand basic options to deploy and document a DataRobot model 

Who should complete this mission?

This mission is intended for people who are new to machine learning, or have done some modeling but only in academic (not professional) settings. This includes:

  • Citizen Data Scientists 
  • Data Scientists with minimal modeling experience
  • Business Analysts
  • Data Analysts
  • Data Engineers
  • Software Engineers

Technical requirements

  • Chrome browser
  • The latest version of Zoom
  • During class, you will connect to the DataRobot classroom account and download files. If your organization uses security protocols that block connecting to the classroom account or downloading files (for example, a firewall or VPN), please connect to the session using a personal computer.

Completion requirements

Upon completing this mission, you will receive a Certificate of Completion. Attendance at all instructor-led sessions and passing the skills assessment are required for mission completion. These sessions must be taken in the order listed. 

Please use this time zone conversion tool to find a session that works best for your schedule and time zone: worldtimebuddy.com

PST/PDT: Americas/Pacific (San Francisco/Seattle) 
EST/EDT: Americas/Eastern (Boston/New York/Washington DC)
GMT/BST: Europe/UK (London) 
SGT: Asia/Singapore (Singapore)
AEST/AEDT: Australia/Eastern (Sydney/Melbourne) 

Important note

To ensure participants are properly configured and enabled across our internal systems, session registration closes 2 business days before the start of the session. Please refer to our Education Services Policies for additional info.

Session A | Project Purpose and Data Exploration (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session A 17
AutoML I: Session A 7
AutoML I: Session A 19
AutoML I: Session A 17
AutoML I: Session A 17
AutoML I: Session A 18
AutoML I: Session A 20
AutoML I: Session A 18
AutoML I: Session A 20
AutoML I: Session A 19
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20

Session B | Feature Engineering and Modeling (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session B 16
AutoML I: Session B 4
AutoML I: Session B 15
AutoML I: Session B 18
AutoML I: Session B 16
AutoML I: Session B 17
AutoML I: Session B 20
AutoML I: Session B 18
AutoML I: Session B 20
AutoML I: Session B 19
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20

Session C | Model Selection and Use (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session C 1
AutoML I: Session C 7
AutoML I: Session C 6
AutoML I: Session C 12
AutoML I: Session C 15
AutoML I: Session C 15
AutoML I: Session C 17
AutoML I: Session C 20
AutoML I: Session C 18
AutoML I: Session C 18
AutoML I: Session C 18
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20

Action Plan3 Sessions

  • Instructor-led Session (Virtual)
  • Session A | Project Purpose and Data Exploration (3.5 hrs)
  • Session B | Feature Engineering and Modeling (3.5 hrs)
  • Session C | Model Selection and Use (3.5 hrs)
  • Complete Your Mission
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets and Course Files

About this Mission

Discover how DataRobot helps you gain important insights about your data to solve key business problems and build the foundational skills to create predictive models that bring value to your organization. This mission guides you through the process of completing AutoML projects and provides an in-depth look at each stage of the Machine Learning Life Cycle.

This mission replaces DataRobot Essentials, which is its equivalent. If you have previously taken DataRobot Essentials, you do not need to take this mission. This mission is equivalent to DataRobot for Data Scientists but designed for non-data scientists. Participants should choose one or the other (not both) depending on their level of expertise.

Mission format and duration: virtual instructor-led, hands-on, 10.5 hours

By the end of this mission, you will be able to:

  • Identify potential applications of AI to solve business problems
  • Define a problem to solve with machine learning
  • Recognize common data prep issues and how datasets are structured
  • Perform exploratory data analysis
  • Determine an appropriate prediction target and remove target leakage
  • Identify automated feature engineering in DataRobot
  • Select features for model building
  • Train and validate classification and regression models with DataRobot
  • Assess model quality based on relevant metrics and evaluation tools
  • Investigate and understand relationships that models have learned
  • Explain reasons for model predictions
  • Select an appropriate model for deployment
  • Generate predictions using a DataRobot model
  • Understand basic options to deploy and document a DataRobot model 

Who should complete this mission?

This mission is intended for people who are new to machine learning, or have done some modeling but only in academic (not professional) settings. This includes:

  • Citizen Data Scientists 
  • Data Scientists with minimal modeling experience
  • Business Analysts
  • Data Analysts
  • Data Engineers
  • Software Engineers

Technical requirements

  • Chrome browser
  • The latest version of Zoom
  • During class, you will connect to the DataRobot classroom account and download files. If your organization uses security protocols that block connecting to the classroom account or downloading files (for example, a firewall or VPN), please connect to the session using a personal computer.

Completion requirements

Upon completing this mission, you will receive a Certificate of Completion. Attendance at all instructor-led sessions and passing the skills assessment are required for mission completion. These sessions must be taken in the order listed. 

Please use this time zone conversion tool to find a session that works best for your schedule and time zone: worldtimebuddy.com

PST/PDT: Americas/Pacific (San Francisco/Seattle) 
EST/EDT: Americas/Eastern (Boston/New York/Washington DC)
GMT/BST: Europe/UK (London) 
SGT: Asia/Singapore (Singapore)
AEST/AEDT: Australia/Eastern (Sydney/Melbourne) 

Important note

To ensure participants are properly configured and enabled across our internal systems, session registration closes 2 business days before the start of the session. Please refer to our Education Services Policies for additional info.

Instructor-led Sessions

Session A | Project Purpose and Data Exploration (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session A 17
AutoML I: Session A 7
AutoML I: Session A 19
AutoML I: Session A 17
AutoML I: Session A 17
AutoML I: Session A 18
AutoML I: Session A 20
AutoML I: Session A 18
AutoML I: Session A 20
AutoML I: Session A 19
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20
AutoML I: Session A 20

Session B | Feature Engineering and Modeling (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session B 16
AutoML I: Session B 4
AutoML I: Session B 15
AutoML I: Session B 18
AutoML I: Session B 16
AutoML I: Session B 17
AutoML I: Session B 20
AutoML I: Session B 18
AutoML I: Session B 20
AutoML I: Session B 19
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20
AutoML I: Session B 20

Session C | Model Selection and Use (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session C 1
AutoML I: Session C 7
AutoML I: Session C 6
AutoML I: Session C 12
AutoML I: Session C 15
AutoML I: Session C 15
AutoML I: Session C 17
AutoML I: Session C 20
AutoML I: Session C 18
AutoML I: Session C 18
AutoML I: Session C 18
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20
AutoML I: Session C 20

Action Plan3 Sessions

  • Instructor-led Session (Virtual)
  • Session A | Project Purpose and Data Exploration (3.5 hrs)
  • Session B | Feature Engineering and Modeling (3.5 hrs)
  • Session C | Model Selection and Use (3.5 hrs)
  • Complete Your Mission
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets and Course Files