Internet Of Things: From Fundamentals To Advanced

Exploring IoT Components, Architectures; Integration with Cloud Services using AWS with Hands-On Projects

What you'll learn

Course is crafted by industry experts with over 25 years of experience and Includes deep industry insights with practical use cases.

You’ll gain multiple skills to become a well-rounded software professional with a deep understanding of technologies, their applications, and interdependencies.

The program imparts practical skills to design, implement, and manage IoT solutions, optimizing operations, enhancing analytics, and driving product innovation

Content includes - Lectures, Demo, Use case, and Code Walkthrough Videos. Content copy, Step by step practice guide & sample code, Quizzes & Assignments

2 guided project and 1 capstone project incuding complete guidance on solution design and approach

Requirements

This is a fast-paced, intensive course covering a wide range of tools and concepts. Participants should have working knowlegde of Python (or another programming language), databases, and cloud platforms like AWS.

All coding exercise will be in Python. AWS will be used as cloud platform fo demo. for practice Learners can use any other programming framework or cloud platform if they wish to.

Hardware is not covered in this course. A software simulator will be used to simulate hardware behavior for demos & assignments. If interested, participants can purchase device hardware available for educational purposes. Guidance will be provided on h/w setup/configuration.

Description

Dive into the dynamic world of the Internet of Things (IoT) with our comprehensive online course, designed for both beginners and professionals eager to expand their knowledge. This course thoroughly explores IoT fundamentals, starting with the essential concepts of IoT architecture and the challenges faced in real-world applications.Learn how IoT devices connect and communicate through various networking protocols, ensuring seamless data exchange. We will delve into cloud and edge computing, emphasizing their critical roles in processing and storing IoT data efficiently. Through hands-on projects, you will gain practical experience using AWS IoT Core and DynamoDB, allowing you to understand how to manage and scale IoT solutions in the cloud.Additionally, the course covers advanced topics such as IoT batch and stream processing with AWS Kinesis and leveraging AWS SageMaker for analytics in IoT. You’ll not only learn the theory but also engage in real-world projects that reinforce your skills and knowledge, preparing you for a successful career in this rapidly evolving field.By the end of this course, you will have a solid foundation in IoT technologies, practical experience in cloud integration, and the ability to tackle complex IoT challenges. Join us and take your first step towards becoming an IoT expert!

Overview

Section 1: IoT Fundamentals, architecture & challenges

Lecture 1 1.1-Ageda-IoT Introduction and Architecture

Lecture 2 1.2-IoT Overview, Applications and Evolution

Lecture 3 1.3-IoT Basic architecture and challnages

Lecture 4 1.4-IoT Cloud and Edge computing

Lecture 5 1.5-IoT Use Case - AI enabled device

Lecture 6 1.6-IoT Case Study 1- Asset Tracking and Management

Lecture 7 1.7-IoT Case Study 2- Singapore smart city

Lecture 8 1.8-Hands on Practice - IoT Communication with MQTT- Part 1

Lecture 9 1.8-Hands on Practice - IoT Communication with MQTT- Part 2

Lecture 10 1.8-Hands on Practice- Communicating with MQTT- Python

Lecture 11 Additional Excercise with Device Hardware (Optional)

Section 2: 2 - IoT Devices, Cloud and Edge Computing

Lecture 12 2.1 IoT Sensors and Actuators

Lecture 13 2.2-IoT Thing-Devices

Lecture 14 2.3-IoT Cloud and Edge

Lecture 15 2.4-Case Study

Lecture 16 2.5-Hands on Practice 1-MQTT-Subscriber-MongoDB

Lecture 17 2.6-Hands on 2-MQTT Advanced Config

Lecture 18 2.7-Hands on 3-mongodb analytics

Section 3: 3 - IoT Networking Protocol and application

Lecture 19 3.1-IoT Networking Requirements

Lecture 20 3.2-IoT Networking Elements

Lecture 21 3.3-IoT Networking Protocol Landscape

Lecture 22 3.4-IoT Networking -MQTT

Lecture 23 3.5 IoT Case Studies

Lecture 24 3.6-Hands on - Demo-node-red-1

Lecture 25 3.6-Hands on - Demo-node-red-2

Lecture 26 3.6-Hands on - Demo-node-red-1

Section 4: 4 - IoT Cloud Processing with AWS IoT Core and Dynamo DB

Lecture 27 4.1 IoT Cloud Processing agenda

Lecture 28 4.2 AWS IoT Core and Dynamo DB

Lecture 29 4.3 IoT Core and Dynamo DB - Hands on practice

Lecture 30 4.4 IoT Cloud Processing Case Study

Section 5: 5 - IoT Cloud Stream Processing with AWS IoT Core - Kinesis -DynamoDB

Lecture 31 5.1 IoT Stream Processing-part 1

Lecture 32 5.1 IoT Stream Processing-part 2

Lecture 33 5.2 IoT Stream Processing-Hands on Practice Demo - part 1

Lecture 34 5.2 IoT Stream Processing-Hands on Practice Demo - part 2

Section 6: 6 - IoT Cloud Batch Processing with AWS agemaker and Spark

Lecture 35 6.1 IoT Batch Processing

Lecture 36 6.2 IoT Batch Processing - Hands on Practice demo

Section 7: 7 - Connecting Dots

Lecture 37 7.1-Connecting Dots

Lecture 38 7.2-Project 1 - Smart Home - Problem statement and solution approach

Lecture 39 Project 1 - Smart Home - Solution Implementaiton and code walkthrough

Lecture 40 7.3-Project 2 - Smart Healthcare- Problem statement and solution approach

Lecture 41 7.3-Project 2 - Smart Healthcare-Solution Implementaiton and code walkthrough

Section 8: Capstone Project

Lecture 42 Final Project

Ideal for engineers, developers, architects, and leaders aiming to boost their IoT knowledge for greater efficiency and innovation.