Building Custom AI Models

This tutorial will guide you through the process of building and deploying custom AI models using CognisentAI's platform. Custom models allow you to tailor our AI capabilities to your specific business needs.

Prerequisites

  • A CognisentAI Enterprise account
  • Basic understanding of machine learning concepts
  • Familiarity with Python programming

Step 1: Prepare Your Data

The first step in building a custom AI model is preparing your data. Ensure your dataset is:

  • Clean and free of errors
  • Properly formatted
  • Representative of the problem you're trying to solve

Step 2: Choose a Model Type

CognisentAI supports various types of models, including:

  • Classification
  • Regression
  • Clustering
  • Time series forecasting

Select the model type that best fits your use case.

Step 3: Configure Your Model

Use our intuitive model configuration interface to set up your custom AI model:

  1. Log in to your CognisentAI account
  2. Navigate to the "Custom Models" section
  3. Click on "Create New Model"
  4. Select your model type and upload your prepared dataset
  5. Configure model parameters and hyperparameters

Step 4: Train Your Model

Once your model is configured, you can start the training process:

  1. Click on "Start Training"
  2. Monitor the training progress in real-time
  3. Review performance metrics as they become available

Step 5: Evaluate and Refine

After training, evaluate your model's performance:

  1. Review the evaluation metrics provided by our platform
  2. Test your model on a holdout dataset
  3. If necessary, adjust your model configuration and retrain

Step 6: Deploy Your Model

Once you're satisfied with your model's performance, you can deploy it:

  1. Go to the "Deployment" section
  2. Choose your deployment options (e.g., API endpoint, batch processing)
  3. Click "Deploy Model"

Step 7: Monitor and Maintain

After deployment, it's important to:

  • Monitor your model's performance in production
  • Retrain your model periodically with new data
  • Stay alert for concept drift or data distribution changes

Detailed Documentation

For a more comprehensive guide on building custom AI models with CognisentAI, please refer to our detailed documentation:

View Detailed Documentation

Need Help?

If you need assistance with building custom AI models, please contact our support team at ai-support@cognisentai.com or refer to our detailed documentation.