Master On-Device ML & AI for Mobile Apps — 2025 Edition

🚀 Course Title: On-Device Machine Learning: Train & Deploy Models in Mobile Apps with Tensorflow Lite

🎓 Course Headline: Hands-on course for training ML models and deploying them in Mobile Apps on Android, Flutter, and iOS using Tensorflow Lite!

What You’ll Learn:

📚 Foundations of Machine Learning & Deep Learning

• Explore the types, applications, and impact of machine learning.
• Delve into deep learning and artificial neural networks to understand their role in making predictions.

🧩 Python Programming & Data Science Libraries

• Master Python, the language for data science, ML, and deep learning.
• Get hands-on with libraries like NumPy, Pandas, and Matplotlib that are essential for data manipulation, analysis, and visualization.

🤖 TensorFlow & TensorFlow Lite for Model Training

• Understand the fundamentals of TensorFlow.
• Learn how to optimize models for mobile devices using TensorFlow Lite.

Model Training & Conversion to TensorFlow Lite:

📈 Linear Regression & Predictive Models

• Start with simple linear regression models, training and evaluating them.
• Apply your skills to real-world projects like predicting fuel efficiency and house prices, and learn to convert these models to TensorFlow Lite.

👀 Image Classification

• Learn two approaches for image classification using TensorFlow: a neural network from scratch and the no-code tool Teachable Machine.
• Convert these models to TensorFlow Lite for mobile deployment.

🎯 Object Detection with Transfer Learning

• Explore object detection and collect and annotate data.
• Use transfer learning to train your object detection model faster and more accurately, before converting it to TensorFlow Lite.

Mobile App Development with ML Models:

🚀 Flutter (Dart)

• Integrate linear regression, image classification, and object detection models into Flutter apps.
• Build intuitive mobile applications for a variety of use cases on Android and iOS devices.

🤝 Native Android (Kotlin)

• Leverage Kotlin to build Android applications that integrate ML models with real-time image processing capabilities.

🍎 iOS (Swift)

• Integrate linear regression models into iOS apps using Swift, enabling users to make predictions directly on their devices.

Why Take This Course?

🔥 The Complete ML Workflow:

• Master the end-to-end process of training models in Python and deploying them within mobile applications.
• Whether you're a developer looking to add AI features or a data scientist aiming for mobile application integration, this course is designed to meet your needs.

What You’ll Build:

✅ Linear Regression Apps

• Apps capable of predicting prices and efficiencies based on input data.

👀/📹 Image Classification Apps

• Applications that can classify both images and videos with Tensorflow Lite.

🕵️‍♂️ Object Detection Apps

• Mobile apps that recognize objects in real-time, leveraging the power of on-device ML.

Join us to transform your skills in machine learning and mobile development! 🌟 Enroll now and let's build intelligent mobile apps together with Tensorflow Lite! 🚀

Enroll today and unlock the full potential of machine learning within mobile applications. Whether you're a seasoned developer or just starting out, this course will equip you with the practical skills to deploy AI models directly onto users' devices. With Tensorflow Lite, the possibilities are endless – from predictive analytics to real-time object detection – all within the palm of your hand. 📱✨

Don't miss out on this opportunity to merge two cutting-edge fields: machine learning and mobile app development. Enroll in "On-Device Machine Learning with Tensorflow Lite" now! 🎉