TensorFlow Lite Training

Catalogue index: IFS/5

  • In stock
  • Delivery: free
  • Dedicated training:
  • Producer:
  • Training level:
    • Średniozaawansowany
  • Type of training:
    • stacjonarnie; online
PLN993.33 net / particip. PLN14,899.95  net for 1 workshop PLN1,221.80 gross incl. 23% VAT / particip.

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Features

Features
Certification:
  • TAK
Dedicated training:
Number of training hours:
  • 16
Producer:
Training language:
  • polski
Training level:
  • Średniozaawansowany
Type of training:
  • stacjonarnie; online

Description

Company Description

Infoshare is the largest tech community in CEE and the organizer of the leading tech conference in Gdańsk. It connects startups, investors, corporations, and innovation enthusiasts. It promotes entrepreneurship, knowledge sharing, and networking. Through events, competitions, and programs, it supports the development of the tech ecosystem in Poland and the region.

Training Description

The TensorFlow Lite training is an intensive two-day course focused on the practical application of TensorFlow Lite for deploying AI models on mobile and embedded devices. The training program is designed so that 80% of the time is dedicated to practical workshops and 20% to theory. Participants will learn how to optimize ML models, deploy them on mobile devices, and monitor their performance in real-world applications.

Who the Training is For
  • Mobile application developers who want to integrate AI models into their applications
  • Data scientists and ML engineers looking to deploy and optimize models on mobile devices
  • IT specialists who want to use TensorFlow Lite to deploy AI models in resource-constrained environments
  • Those who know the basics of programming in Python
  • and have knowledge of machine learning.
  • Experienced developers creating mobile applications for Android or iOS
Goals
Benefits
  • How to configure and manage TensorFlow Lite for deploying ML models on mobile devices
  • How to convert and optimize TensorFlow models to TensorFlow Lite format
  • How to deploy and monitor TensorFlow Lite models on Android and iOS
  • How to integrate TensorFlow Lite with mobile applications and cloud services
Training Program

  1. Day 1: Introduction to TensorFlow Lite and Model Optimization

    • Basics of TensorFlow Lite

    • Introduction to TensorFlow Lite and its architecture

    • Installation and configuration of TensorFlow Lite on various platforms

    • Preparing and optimizing models

    • Converting TensorFlow models to TensorFlow Lite format

    • Optimizing models using quantization, pruning, and other techniques

    • Workshop: Conversion and optimization of a model

    • Practical exercises on conversion and optimization of a model using a real ML model

    • Analysis of optimization results

    • Introduction to implementation on mobile devices

    • Introduction to TensorFlow Lite libraries for Android and iOS

    • Integrating TensorFlow Lite with mobile applications

  2. Day 2: Advanced Techniques and Practical Applications

    • Implementing models on mobile devices

    • Practical aspects of deploying TensorFlow Lite models on Android and iOS

    • Handling inputs and outputs of models in mobile applications

    • Monitoring and debugging TensorFlow Lite models

    • Techniques for monitoring model performance on mobile devices

    • Debugging and optimizing deployed models

    • Workshop: Deploying and testing a model

    • Practical exercises on deploying a model on a mobile device

    • Testing a model in a real mobile application

    • Integration with tools and cloud services

    • Integrating TensorFlow Lite with Google Cloud AI services

    • Using CI/CD tools to automate model deployments

 
Duration

16 h/2 days

Price Includes

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