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App Designer lets you create professional apps without having to be a professional software developer. App Designer is a rich development environment that provides layout and code views, a fully integrated version of the MATLAB editor, and a large set of interactive components. You can package an app installer file directly from the App Designer toolstrip, or you can create a standalone desktop or web app. App Designer is the recommended environment for building apps in MATLAB and is the best solution for your prototype building and industrial projects. {Trainer: Gunjan Gupta}

Explore Simulink, an environment for multi-domain simulation and Model-Based Design for dynamic and embedded systems. Through demonstrations, you will see a high-level overview of the major capabilities and how you can use Simulink to design, simulate, implement, and test a variety of time-varying systems, including communications, controls, signal processing, video processing, and image processing. {Trainer: Gunjan Gupta}

Discover how to use computer vision and image processing techniques in MATLAB to solve practical image analysis, automation, and detection problems using real-world examples. Use MATLAB apps to explore your data interactively and automatically generate MATLAB code. This means you don’t have to code from scratch. Explore the latest features in image processing and computer vision such as interactive apps, new image enhancement algorithms, data pre-processing for deep learning, and 3D algorithms. {Trainer: Gunjan Gupta}

MATLAB & Simulink Support Packages for Arduino Hardware enables you to use MATLAB to communicate with an Arduino board and run Simulink models on Arduino board. You can read and write sensor data through the Arduino and immediately see the results in MATLAB without having to compile. The target includes a library of Simulink blocks for configuring and accessing Arduino sensors, actuators and communication interfaces. Additionally, the target enables you to monitor and tune algorithms running on the Arduino board from the same Simulink models from which you developed the algorithms. {Trainer: Gunjan Gupta}

If you want to get a real sense of Machine Learning techniques, this module is for you. This module is also for you if you've spent hours upon hours studying machine learning theory but have never been able to put it into practice or figure out how to use it to address data science challenges. This module takes an efficient approach, and you will start from the beginning. After a few introductory lessons, we'll jump right into coding, and we'll attempt to keep the theory to a bare minimum. All codings will be done in MATLAB, one of the most common programming languages used by top data science research groups worldwide and is one of the most essential programming languages for engineers and science students. {Trainer: Anish Yadav}