Code Pilot's AI Accelerators are complete, ready-to-deploy AI solutions that address common business scenarios. These scenarios include product recommendations, personalizing the customer experience, sentiment analysis, and fraud detection.
We build comprehensive, interactive training
Code Pilot supports dozens of components including code editors, CLI's, servers, data science frameworks, and Jupyter notebooks giving each user a dedicated environment, identical to the technologies they use every day.
Users launch live environments on our platform
Give users a simple, easy way to launch environments without the setup hassle. Incorporate hands-on training and tasks for users to code, run, and evaluate quickly and seamlessly.
You monitor the progress and track ROI
Keystroke dynamics, exceptions, syntax errors, successful compilations and code changes, are just some of the data points tracked by our Deep Learning engine and converted into analytics and insights.
Jesse Thompson I Lead Developer at Life by Spot
(401 and counting)
Learn to build and deploy your own AWS Lambda based Serverless API using Python in a VSCode environment.
Learn to train and test your own TensorFlow based neural network using the Fashion MNIST data set and Python in a Jupyter notebook based environment.
Learn to build and publish Docker images using the Docker CLI and Docker files.
Our customers include online education companies, technology companies, and engineering teams who use Code Pilot to help answer questions like, How capable is this developer in coding against our stack? and How well did this developer understand the training at a practical level?
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