[Packtpub]Internet of Things with Python and Raspberry Pi [Video]

What you will learn

Discover characteristics to consider before building an IoT smart device Build a Raspberry Pi-based smart device by connecting different sensors and actuators. Pre-design the project architecture by using IoT communication models Realize the disadvantages of AJAX long polling for real-time applications and the master Internet of Things communication protocols such as MQTT and WebSockets. Build real-time, full-stack web development in Python Flask. Execute a responsive web-based dashboard UI with real-time graphs and control switches using Bootstrap and JavaScript. Understand and implement AES and RSA message encryption, digital signatures, and the TLS/SSL/HTTPS protocol to secure your devices and users connected to the Internet of Things projects. Gain hands-on experience with the best-known cloud provider, AWS, to deploy your IoT Project

About this specialization

Deploying an end-to-end IoT solution requires the development of smart devices, a reliable and real-time communication channel, and a responsive backend server. An efficient ecosystem first requires developing each component and then precise execution in a robust and foolproof way! This course starts you off with IoT project development by combining Python and Raspberry Pi and lays a foundation from which you can develop complex real-world projects. You will learn to build a motion-detecting anti-theft device that sends real-time data to you remotely to signal intruder activity in your house. This course then teaches you to build an IoT server in Python-Flask, allowing your users to log in securely and access their devices. It is based on the publishing and subscribes model, which assures authentic user database. You will learn synchronous and asynchronous encryption techniques and protocols that fortify your IoT system. Finally, you will build an atmosphere monitoring system with the ability of energy saving functionality, using infrared sensors, motion sensors, and ADC. The system will alert and detect ambient atmospheric conditions. By the end of the course, you will have built a secure ecosystem of interconnected devices that will upgrade your skills to build many complex projects using Python and Raspberry Pi in real-world scenarios! All the code and supporting files for this course are available at https://github.com/PacktPublishing/-Internet-of-Things-with-Python-and-Raspberry-Pi Style and Approach This course follows a problem-oriented approach to understand how technologies are used in IoT project development. You will start with an overview of the Internet of Things technologies, communication models, and protocols involved in your projects then move towards practical IoT project development in Python and Raspberry Pi. By the end of the course, you will have built a reliable, secure, hack-proof, and scalable IoT final project based on the designed IoT solution.