Worlds Trainer Certification
The Worlds Trainer certification is designed to develop the skills necessary to effectively annotate multimedia and train AI models in the Worlds platform.
About this Certification
To successfully achieve the Worlds Trainer Certification, participants must successfully complete the entire training curriculum, submit a guided implementation of the Worlds training and annotation work, and pass the knowledge-based exam with a score of 80% or higher.
Prerequisites
Our clients have varying experience levels, but we generally recommend some experience or awareness of the following topic areas:
- CAD Software
- Computer Vision
- IoT Sensors
- Data Analysis
- IT Administration
In addition, you must have successfully completed the Worlds Builder Certification.
What You Will Learn
Participants in the Worlds Trainer certification path will be immersed in the end-to-end process of labeling, annotating, evaluating, and predicting detections using the Worlds AI.
Who This Certification Is For:
This training helps clients quickly learn the fundamentals of training the AI in the Worlds platform making it ideal for -
- New Users of the Worlds Platform
- Worlds Partners
- Administrators of Worlds
The Trainer Certification includes the following modules:
This curriculum plan has been tailored for Worlds users focused on annotating footage, training the model, and running predictions.
Overview of the AI Training Process
This module provides an overview of the workflow and required components to train the AI within Worlds.
Creating Labels
This module provides and overview of Labels in the World platform, use-cases to consider when creating labels, and walks through the process of creating a new label.
Creating Detectors
This module walks through the process of setting up your first detector and some of the configuration options.
Navigating the Training Interface
This module outlines the key areas of the Trainer Interface and how these functions fit into the training workflow.
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Annotating Ground Truth
This module walks participants through the process of annotating footage and provides a guided application of the workflow using sample camera footage.
Running a Training Job
This module details the process of running a training job and viewing the results within the Detectors interface.
Running Predictions
This module details the process of running a prediction job and evaluating the results within the Training interface.
Frequently Asked Questions:
Yes, the Trainer Certification contains a two-part assessment of skills and knowledge. All training participants will need to successfully pass at Knowledge-Based exam with a score of 80% or higher to achieve certification.
In addition, participants must also complete the training of a detector and annotation of footage within Worlds based on the provided activities and scenarios in the training. This will be reviewed and approved by an internal expert prior to issuing a certification.
Our clients have varying experience levels, but we generally recommend some experience or awareness of the following topic areas:
- CAD Software
- Computer Vision
- IoT Sensors
- Data Analysis
- IT Administration
In addition, you must have successfully completed the Worlds Builder Certification.
Yes, access to the Worlds platform is critical for this training program.
If you are a current client, you will be provided access to a unique training environment so as not to impact your current Sites.
If you are not yet a client, you will be granted access to a training sandbox that must be used to complete the certification.
Due to the rapid evolution of the industry and the product, certifications last for 1-year in our current curriculum. (365 days from certification issue.)
Training and certification options for individuals and teams.
This program also includes:
- Platform Training Environment
- Certificate of Completion