WEBVTT 00:00.120 --> 00:06.400 Hello developers, and welcome to this course on Machine Learning with Android, where we take a deep 00:06.400 --> 00:12.040 dive into building intelligent mobile applications powered by machine learning. 00:12.360 --> 00:16.640 Let's take a quick overview about this course. 00:16.640 --> 00:22.600 We will start by the big picture understanding machine learning fundamentals. 00:22.760 --> 00:31.640 Step into the world of artificial intelligence by uncovering the core principles that power today's 00:31.640 --> 00:33.640 most intelligent systems. 00:33.640 --> 00:37.880 In this part, demystify machine learning. 00:38.000 --> 00:46.440 Explore how computers learn from data, and break down key concepts like supervised and unsupervised 00:46.440 --> 00:49.920 learning, model training and evaluation. 00:49.920 --> 00:58.760 Whether you are new to ML or brushing up on the basics, this section sets the foundation you need before 00:58.800 --> 01:01.960 diving into hands on development. 01:01.960 --> 01:11.510 By the end, you'll have a clear understanding of the ML landscape and how it connects into or to real 01:11.510 --> 01:18.630 world applications, preparing you to move into model building and Android integration. 01:18.750 --> 01:24.470 Then we're going to move to the second module, which is the TensorFlow overview. 01:24.510 --> 01:32.430 We'll introduce TensorFlow, the most widely used framework for building and deploying machine learning 01:32.430 --> 01:33.230 models. 01:33.350 --> 01:42.470 You'll learn why TensorFlow is the go tool for developers, explore its ecosystem and see how it fits 01:42.510 --> 01:47.310 perfectly into Android development with TensorFlow lit. 01:47.350 --> 01:55.790 We'll talk about and we'll walk through its core features, from handling data sets to building and 01:55.790 --> 02:03.150 exporting models, giving you the practical knowledge you need to start integrating ML into your own 02:03.150 --> 02:04.190 applications. 02:04.510 --> 02:12.230 By the end of this section, you'll understand not only what TensorFlow can do, but how it will serve 02:12.430 --> 02:19.870 as the backbone for every ML powered Android application you build in this course. 02:19.910 --> 02:27.510 Next, we're going to move to the third part, which is the models and the training the brain behind 02:27.510 --> 02:29.390 intelligent applications. 02:29.550 --> 02:35.710 Machine learning models are the core intelligence behind every smart application. 02:35.910 --> 02:46.070 In this module, we'll dive into how models are created, trained, and optimized to make accurate predictions. 02:46.270 --> 02:49.270 You'll explore the full training pipeline. 02:49.430 --> 02:50.870 Data preparation. 02:50.910 --> 02:57.390 Choosing the right algorithm, training a model and evaluating its performance. 02:57.550 --> 03:06.710 We'll also cover concepts like overfitting, underfitting, and how to fine tune models for better accuracy. 03:06.790 --> 03:15.140 By the end, you'll not only understand how models thing, but you'll also be ready to build the brains 03:15.140 --> 03:16.100 of your own. 03:16.140 --> 03:21.060 Intelligent Android application moving to the fourth section. 03:21.260 --> 03:25.700 Android integration bringing ML to your applications. 03:25.860 --> 03:30.380 This is where machine learning meets mobile development. 03:30.380 --> 03:39.060 In this module, you'll learn how to integrate trained models and trained models into Android applications 03:39.060 --> 03:44.620 using TensorFlow Lite and Android Support Library and Google Play Services. 03:44.900 --> 03:54.660 We'll walk through converting models for mobile use, running inferences directly on devices and optimizing 03:54.660 --> 03:59.580 performance so your apps stay fast and responsive. 03:59.780 --> 04:08.300 By the end, you'll be able to seamlessly connect ML models with Android features, turning raw intelligence 04:08.300 --> 04:11.780 into practical user experiences. 04:11.780 --> 04:16.340 Moving to the fifth model, which is the real apps. 04:16.380 --> 04:20.100 Now it's time to put everything into practice. 04:20.140 --> 04:29.180 In this module, we'll build real world Android applications that use machine learning to solve practical 04:29.180 --> 04:30.180 problems. 04:30.180 --> 04:33.940 From image recognition to smart predictions. 04:34.220 --> 04:35.820 Object detections. 04:35.860 --> 04:42.060 You'll see how to bring models to life inside fully functional applications. 04:42.220 --> 04:50.620 We'll focus on hands on projects, guiding you step by step through the development process so you can 04:50.620 --> 04:54.860 apply what you've learned in real scenarios. 04:55.020 --> 05:03.180 By the end, you'll have built your own ML powered applications, proving that you can go from theory 05:03.220 --> 05:06.540 to working solutions on Android. 05:06.700 --> 05:13.780 Then we'll go into the move to the complex models, creating custom and simple models. 05:13.780 --> 05:22.770 In this module, we'll go beyond the basics and explore how to work with advanced and custom models. 05:22.770 --> 05:30.130 You'll learn how to design, train, and deploy models tailored to your specific app requirements, 05:30.130 --> 05:38.930 whether that means handling more complex data, improving accuracy, and unlocking new capabilities. 05:39.250 --> 05:46.850 We'll also cover strategies for optimizing large models to run efficiently on mobile devices, ensuring 05:46.850 --> 05:53.090 that even advanced intelligence can fit seamlessly into your Android applications. 05:53.210 --> 06:02.090 By the end, you'll have the skills to move from pre-built models to creating custom model solutions. 06:02.330 --> 06:04.410 This is the main point. 06:04.410 --> 06:10.170 This is the level I going to reach by this course. 06:10.210 --> 06:20.930 Again guys, you'll have the skills to move from using prebuilt models to creating custom your custom 06:20.930 --> 06:26.490 machine learning solutions that truly set your applications apart. 06:26.650 --> 06:34.330 So you're going to create your custom machine learning models and set them and fit them and integrate 06:34.330 --> 06:36.970 them into your Android applications. 06:37.090 --> 06:46.570 Trust me, this is a very interesting and very complex and very complete journey into machine learning 06:46.570 --> 06:53.410 and Android development, designed to take you from fundamentals to building intelligent, real world 06:53.410 --> 06:54.530 applications. 06:54.570 --> 07:01.050 Again, we'll begin with big picture using a then moving to TensorFlow. 07:01.050 --> 07:03.690 And by the way you're going to learn Python. 07:03.810 --> 07:10.930 Also we're going to work with models and training Android integration, building real apps and complex 07:10.930 --> 07:11.650 models. 07:11.850 --> 07:18.730 By the end of this course, you won't just understand machine learning, you'll be able to integrate 07:18.730 --> 07:25.970 it with Android applications to create smarter, more powerful, and customized applications.