Machine Learning use in Flutter - The 2025 Flutter ML Guide

It seems like you've outlined a comprehensive curriculum for learning how to integrate machine learning and computer vision capabilities into Google Flutter (Dart) applications. Your plan covers a wide range of topics, from using Firebase ML Kit to training custom models using Tensorflow Lite and other platforms. Here's a summary of the course structure you've described:

1. Firebase ML Kit in Flutter:

   • Face Detection, Object Detection, Pose Detection, Smart Reply, Text Translation, Language Identification, Digital Ink Recognition, Entity Extraction with both static images and live camera footage.

2. Tensorflow Lite in Flutter:

   • Image Classification (using ImageNet and EfficientNet models), Object Detection (using MobileNet and EfficientNet models) with images and camera footage.

3. Training Your Own Models:

   • Collecting and arranging datasets, retraining existing models using Transfer Learning, and integrating those trained models into Flutter applications. An example use case is training models to recognize different fruits.

By the end of this course, students will have built over 20 Machine Learning and computer vision-based Flutter applications and gained valuable knowledge in integrating these advanced features into their apps. The course promises to provide comprehensive video content, source codes for all projects, and is designed for beginner to experienced Flutter (Dart) developers.

The key benefits of taking this course are:

• Mastery of using Firebase ML Kit and Tensorflow Lite in Flutter applications.
• Ability to train custom models for image classification and object detection tasks.
• A portfolio of 20+ Machine Learning-based Flutter apps to showcase skills to potential employers.
• Access to high-quality video content and the assurance of a 30-day money-back guarantee from Udemy.

This course is ideal for:

• Beginner Flutter (Dart) developers looking to expand their skills with machine learning.
• Intermediate Flutter developers aiming to incorporate ML features into their apps.
• Experienced Flutter developers seeking to enhance their applications with advanced ML capabilities.
• Anyone who has previously completed a basic Flutter app development course and wishes to explore the integration of ML and computer vision.

The comprehensive nature of this curriculum promises to be a valuable resource for anyone looking to advance their skills in building intelligent and responsive mobile applications with Google Flutter (Dart).