AWS IoT and Raspberry Pi for Smart IoT Solutions

Free Download AWS IoT and Raspberry Pi for Smart IoT Solutions
Published 11/2024
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 61 Lectures ( 5h 44m ) | Size: 2.31 GB

Unlock the full potential of IoT with AWS and Raspberry Pi-build smart, connected systems from scratch!
What you’ll learn
Introduction to IoT and AWS IoT Services: Understand the fundamentals of IoT, AWS IoT Core, and the key components needed to build connected solutions.
Setting Up IoT Infrastructure: Learn how to create and configure AWS IoT accounts, connect devices securely using protocols like MQTT and HTTP.
Programming with MQTT: Master MQTT protocol for real-time data transmission, write Python programs for IoT applications, and enable seamless communication.
Hands-on Raspberry Pi Projects: Get hands-on experience with Raspberry Pi, learning to set up, program, and control IoT hardware like LEDs, sensors, and more.
Cloud Integration with AWS IoT: Discover how to integrate Raspberry Pi with AWS IoT services, set up IoT ‘Things’, manage certificates.
Building Smart IoT Solutions: Gain practical experience by creating a real-world Smart Parking System using Raspberry Pi, AWS IoT, and sensor technologies.
Data Insights and Batch Processing: Explore techniques for analyzing IoT data, batch processing for large-scale IoT deployments, and visualizing real-time data.
Advanced IoT Programming: Dive deeper into IoT programming by implementing advanced Python scripts for sensor data handling, device management.
Requirements
Basic Understanding of Networking: Knowledge of networking concepts such as IP addresses, protocols (HTTP, TCP/IP, MQTT), and secure communication (TLS/SSL) will be helpful, but not essential.
Basic Programming Knowledge: A foundational understanding of programming concepts, preferably in Python, will be beneficial for programming Raspberry Pi and IoT devices.
Familiarity with Cloud Computing Concepts: Basic knowledge of cloud computing principles, especially cloud services such as AWS, will assist students in understanding AWS IoT Core and related cloud components.
Hardware (Raspberry Pi): Students will need access to a Raspberry Pi (preferably Raspberry Pi 3 or later), including accessories such as power supply, SD card, display, and internet connectivity.
AWS Account: An active AWS account is required to access AWS IoT services. AWS offers a free tier, but students may need to provide billing information for certain services beyond the free usage.
Description
In a world where everything is becoming connected, the Internet of Things (IoT) is driving innovation across industries. This comprehensive course, Mastering AWS IoT and Raspberry Pi for Smart IoT Solutions, is designed to help you become proficient in building and managing IoT systems using AWS IoT services and Raspberry Pi. You’ll learn how to connect, manage, and analyze your IoT devices, enabling you to create smart solutions for real-world applications like industrial automation and smart parking systems. Whether you’re a developer, engineer, or tech enthusiast, this hands-on course will equip you with the skills to excel in the IoT landscape.Section-wise Writeup:Section 1: IntroductionThis section provides an overview of the course, starting with an introduction to AWS IoT. You’ll understand the basics of how AWS IoT enables secure, scalable, and cost-effective solutions for IoT applications. The lecture lays the groundwork for the exciting journey into IoT integration and automation.Section 2: Getting Started with AWS IoTDive into the fundamentals of Industrial IoT, exploring key concepts like design tenets, communication protocols (TCP, UDP), and security standards (TLS, SSL). You’ll also learn about Quality of Service (QoS) levels for IoT data transmission. By the end of this section, you’ll set up your AWS account and create your first AWS IoT account, ready to implement IoT rule actions.Section 3: MQTT Introduction and ProgrammingIn this section, you’ll explore the widely-used MQTT protocol, focusing on its comparison with HTTP for IoT applications. You’ll learn to set up MQTT in Python, using the Paho MQTT library. The lectures guide you through hands-on programming to enable seamless communication between mobile devices and PCs, making you proficient in real-time data transfer.Section 4: Raspberry Pi Programming EssentialsRaspberry Pi is a cornerstone of IoT projects. This section introduces you to Raspberry Pi programming, starting from installation to hardware connections. You’ll work with GPIO pins to control LEDs, create basic circuits, and even turn your smartphone into a controller for IoT devices, using simple Python scripts to blink LEDs remotely.Section 5: Raspberry Pi for IoT PublishingLearn to transform your Raspberry Pi into an IoT data ✅Publisher. You’ll install the Mosquitto MQTT broker, configure your Raspberry Pi as a broker, and write sensor programs to collect data. This section focuses on practical implementation, where you’ll execute sensor programs and visualize data outputs on your mobile devices.Section 6: Integrating Raspberry Pi with AWS IoTThis section is all about connecting your Raspberry Pi projects to the AWS IoT cloud. You’ll go step-by-step through the process of setting up AWS IoT ‘Things’, creating certificates, and attaching policies. The integration lectures include Python programming for AWS IoT, enabling secure communication between your Raspberry Pi and the cloud for real-time IoT applications.Section 7: Smart Parking System Project – Concept and DesignStep into the world of smart city solutions with a hands-on Smart Parking System project. You’ll explore the project concept, design tenets, and Raspberry Pi communication protocols. By leveraging proximity sensors, you’ll build a system that detects vehicle presence and communicates data to AWS IoT for monitoring and automation.Section 8: Smart Parking System Project – Implementation and ExecutionThe final section focuses on executing your Smart Parking System project. You’ll set up AWS IoT rules, program local alarms, and develop a complete IoT solution that notifies users of parking availability. The hands-on exercises will solidify your understanding of integrating hardware, software, and cloud services to build scalable IoT systems.Course Conclusion:By the end of this course, you’ll have gained a deep understanding of AWS IoT and Raspberry Pi, empowering you to build, connect, and manage IoT systems effectively. Whether you aim to innovate in smart cities, industrial IoT, or home automation, this course provides you with the practical skills and confidence to excel in the IoT domain. Get ready to transform your IoT ideas into reality with AWS IoT and Raspberry Pi!
Who this course is for
Aspiring IoT Developers: Individuals who want to build practical skills in creating and deploying IoT solutions using AWS IoT Core and Raspberry Pi. Whether you’re just getting started or have some experience, this course will guide you through the essentials of IoT device programming and cloud integration.
Software Engineers and Developers: Software professionals looking to expand their skill set into the world of IoT and cloud computing. If you’re already comfortable with programming and want to work with connected devices and cloud services, this course will help you transition into IoT development.
Cloud Enthusiasts: Individuals who want to learn how to utilize AWS IoT services to create cloud-based IoT solutions. Whether you’re a developer, architect, or cloud enthusiast, this course offers hands-on experience with AWS tools used for IoT management.
Students and Recent Graduates: Students in computer science, electronics, or related fields who are eager to learn how to integrate hardware and cloud services to develop real-world IoT solutions. This course offers practical experience that can be a valuable addition to your academic knowledge.
Tech Enthusiasts and Hobbyists: People passionate about technology and IoT who want to work on practical projects like smart devices, automation systems, and connected solutions. If you enjoy building and experimenting with hardware and software, this course will equip you with the tools to bring your ideas to life.
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