AI & Data

Training: TensorFlow Lite

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.

Duration
6h
Ask about the program → See all
Who it's for

Ideal for teams that…

1 Mobile application developers who want to integrate AI models into their apps
2 Data scientists and ML engineers who want to deploy and optimize models on mobile devices
3 IT specialists who want to use TensorFlow Lite for deploying AI models in resource-constrained environments
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

How to configure and manage TensorFlow Lite for deploying ML models on mobile devices

✓

How to convert and optimize TensorFlow models into the 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

Program · 2 modules

What we actually do

M01
Day 1: Introduction to TensorFlow Lite and Model Optimization
  • · Introduction to TensorFlow Lite and its architecture
  • · Installation and configuration of TensorFlow Lite on different platforms
  • · Converting TensorFlow models to TensorFlow Lite format
  • · Optimizing models using quantization, pruning, and other techniques
  • · Practical exercises with conversion and optimization on a real ML model
  • · Analyzing optimization results
  • · Overview of TensorFlow Lite libraries for Android and iOS
  • · Integrating TensorFlow Lite into mobile applications
M02
Day 2: Advanced Techniques and Practical Applications
  • · Practical aspects of deploying TensorFlow Lite models on Android and iOS
  • · Handling model inputs and outputs in mobile apps
  • · Techniques for monitoring model performance on mobile devices
  • · Debugging and optimizing deployed models
  • · Practical exercises with deploying a model on a mobile device
  • · Testing the model in a real mobile application
  • · Integrating TensorFlow Lite with Google Cloud AI services
  • · Using CI/CD tools to automate model deployments
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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