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ValidMind Academy

Gain practical experience and discover what the platform has to offer with our hands-on training courses.

Our program

Learn with confidence
Empower your team with ​ValidMind’s comprehensive training program, designed to accelerate adoption and maximize value.
Learning paths
Each path provides a structured, hands-on approach to mastering key ​ValidMind’s features that you can apply in your work.
Sample training plan

Sample 3-week training plan for enterprise deployment with enhanced support options.

Where do I find … ?
Here’s what we have been asked about ​ValidMind during training sessions.
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By user role

Administrator Fundamentals
Learn how to use ​ValidMind as an administrator to onboard your organization, customize the ValidMind Platform for your institution’s requirements, and use the platform as your centralized hub for risk management oversight.

Developer Fundamentals
Learn how to use ​ValidMind as a developer to generate documentation, automate testing, and track your record’s progress throughout its entire lifecycle.

Validator Fundamentals
Learn how to use ​ValidMind as a validator to generate validation reports, automate testing, and collaborate with your development team.
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By use case

What is ValidMind?
Take a guided tour of ​ValidMind and discover how the platform helps you implement governance and oversight through automated documentation, comprehensive testing, and streamlined workflows.

AI Governance
Learn how to use ​ValidMind for AI governance to establish organizational oversight for AI systems, manage use cases through their lifecycle, and ensure compliance with regulations like the EU AI Act.
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Available videos

(10 videos)

(5 videos)

Learn by doing

Our training environment mimics a production environment and includes comprehensive resources such as notebooks with sample code you can run, sample records (models) registered in the inventory, and draft documentation and validation reports.

Most of our documentation features are available for you to test in the training environment, including automated testing and documentation, preparing validation reports, and large language model (LLM) support.

These features provide a rich context for testing and evaluation, using records and datasets provided by ​ValidMind and hosted in our own environment.

Sample records

Sample mode-type records registered in the inventory include:

  • Housing prices prediction model
  • Credit risk scorecard model
  • Customer churn prediction model
  • Interest rate time series forecasting model
  • Large language model (LLM) demo application

Please note that we make updates to the models and datasets available in the training environment from time to time to provide you with our latest features.

Sample notebooks

Each interactive notebook includes the sample code needed to test and document a model provided in the ValidMind Platform:

Quickstart for documentation

Open notebook in JupyterHub
[Demo] Customer Churn Model

Gets you started with the basic process of documenting records such as models with ​ValidMind, from the library to the platform.

20 min

Quickstart for validation

Open notebook in JupyterHub
[Demo] Customer Churn Model

Gets you started with the basic process of validating records such as models with ​ValidMind, from the library to the platform.

​ValidMind

45 min

​ValidMind for development (4-part series)

Open series in JupyterHub
[Demo] Customer Churn Model

Learn how the end-to-end documentation process works based on common scenarios you encounter in development settings.

60 min

​ValidMind for validation (4-part series)

Open series in JupyterHub
[Demo] Customer Churn Model

Learn how the end-to-end challenge process works based on common scenarios you encounter in validation settings.

​ValidMind

120 min

Document an Excel-based application scorecard model

Open notebook in JupyterHub
[Demo] Credit Risk Model

Guides you through building and documenting an application scorecard model built with Excel using the Lending Club sample dataset from Kaggle.

60 min

Validate an application scorecard model

Open notebook in JupyterHub
[Demo] Credit Risk Model

Guides you through validating an application scorecard model using the Lending Club sample dataset from Kaggle.

​ValidMind

120 min

Document an agentic AI system

Open notebook in JupyterHub
[Demo] LangGraph-based Banking Agent

Guides you through building and documenting an agentic AI system with the ValidMind Library.

​ValidMind

90 min
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