Internet Of Things: From Fundamentals To Advanced

Internet Of Things: From Fundamentals To Advanced
Published 11/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

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.

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

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.

Description

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 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

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

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.