Technologies / Artificial Intelligence

Machine Learning with TensorFlow.js - Building Models in the Browser

This training introduces participants to the world of machine learning in web browser environments using TensorFlow.js. The program is designed to show the full potential of ML model implementation in web applications - from the basics of creating and training models, through optimization, to integration with existing applications. During workshops, participants work on practical projects, learning to implement various ML solutions directly in the browser. Sessions combine theory with intensive practical experience, showing how to effectively use browser computational power for ML tasks.

Required Participant Preparation

Before starting the training, participants should have good knowledge of JavaScript and basics of web application development. Basic understanding of machine learning concepts will also be helpful.

Benefits

Creating and deploying ML models in browser environments
They will gain knowledge in implementing various machine learning algorithms, JavaScript performance optimization, and web application integration
Methods for effective browser training, data processing techniques, and best practices in ML application development in web environments

Who is this training for?

This training is dedicated to frontend and full-stack developers who want to extend their web applications with machine learning functionality

It is particularly valuable for JavaScript developers working on intelligent user interfaces, ML specialists interested in browser implementations, web application creators using AI, and programmers wanting to create interactive ML demonstrations

The program is also suitable for teams deploying ML solutions in browser environments

Training program

Library architecture and capabilities
Tensors and operations
Model API and Layers API
Memory management in the browser

ML model implementation
Browser training strategies
Transfer learning
Performance optimization

Working with data in JavaScript
Preprocessing and augmentation
Loading and managing data
Validation and testing

Integration with web applications
Progressive web apps with ML
Model optimization
Implementation best practices

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

Who is the Machine Learning with TensorFlow.js - Building Models in the Browser training for?

This training is dedicated to frontend and full-stack developers who want to extend their web applications with machine learning functionality. Level: intermediate.

How long is the Machine Learning with TensorFlow.js - Building Models in the Browser training?

The training lasts 2 days. It is delivered online or on-site.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.