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Programming the Internet of Things (IOT)

A comprehensive course on Internet of Things using practical and real-world examples. This course is highly suited for beginners

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 4 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies Pycharm IDE

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • The course focuses on the fundamental concepts of IoT and explains how IoT converges with data science, cloud computing, and other domains. 
  • It covers topics such as the device gateway, device management, the device registry, and shadows. 
  • They will also discuss security features and implications, core and edge computing capabilities and benefits, and the use of HTTP and MQTT as communications protocols. 
  • Lastly, they will discuss the integration of IoT solutions with analytics tools, which will allow you to analyze the IoT data being collected by your fleet of devices.

Course Syllabus

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 01 - Fundamentals of IoT

  • Introduction to IoT
  • Embedded Systems
  • Hardware and Software Components 
  • Networking in IoT

Week 02 - MQTT for IoT

  • Sensing and Actuating
  • MQTT Structure
  • MQTT Publishing, Subscribing, Message Exchange
  • Authentication Mechanisms

Week 03- IoT Platforms

  • Introduction to IoT Hardware Platforms – ESP8266 and Raspberry Pi 
  • Azure IoT  
  • Amazon IoT Core  
  • Comparisons of IoT Cloud platforms

Week 04 - Application Programming Interface

  • What is API?
  • API programming
  • Using Python API
  • API and JSON exercises

Week 05 - Cloud Computing – Part 1

  • Introduction to Cloud Computing
  • Virtualisation
  • Cloud Service Models
  • Cloud Concerns

Week 06 -Cloud Computing – Part 2

  • Cloud Data Management
  • Microservices
  • Edge Computing
  • Lambda Function

Week 07 -AWS – DATABASE

  • AWS Architecture
  • NoSQL Databases work
  • Dynamo DB
  • Dynamo DB Monitoring and Backup

Week 08 - Smart Home Monitoring using AWS

  • Challenge Description
  • System Design
  • Device Commissioning
  • Web App Visualization of Data

Week 09 -Learning for IoT

  • Introduction to Machine Learning
  • Machine learning for IoT
  • Using Python for Machine Learning.
  • Create and Deploy a Machine Learning Model Demo on AWS

Week 10 -Device Simulation using AWS

  • IoT Device Simulation
  • Importance of Digital Twin
  • Architecture Overview
  • Device Simulation Demo

Week 11- Predictive Maintenance using AWS

  • Introduction to Predictive Maintenance
  • Amazon S3
  • Predictive Maintenance with AWS IoT and Machine Learning

Week 12- Visualization using AWS

  • IoT Data Analytics – Sensor Data and Time Series
  • Influx DB Introduction - Database
  • Grafana Introduction – Visualisation
  • Amazon SageMaker

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 4 Projects that are available in this program.

Development a web application using the tools provided by AWS

In this project, it is expected to develop a web application using the tools provided by AWS. You will be using the API-based development approach to build this web app.

Develop a time variant IoT solution using basic AWS IoT components and a time series optimized Influx DB instance to store telemetry data

In this project, it is required to develop a time-variant IoT solution using basic AWS IoT components and a time series optimized Influx DB instance to store telemetry data. It also sets up a time series visualizations tool called Grafana. Both Influx DB and Grafana are open sources.

Develop a chat mechanism using UDP and have a brief understanding of the UDP and ability to implement within the local network

In this project, it is required to develop a chat mechanism using UDP and have a brief understanding of the UDP and the ability to implement it within the local network.

Develop a twitter bot using Python

In this project, the aim is to develop a twitter bot using Python. Tweepy is an open-source Python package that gives you a very convenient way to access the Twitter API with Python. If you weren’t using Tweepy, then you would have to deal with low-level details having to do with HTTP requests, data serialization, authentication, and rate limits. This could be time-consuming and prone to error. Instead, stick to tweepy so that you can focus on the functionality you want to build.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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14 years in the experience range

Instructors with 14 years extensive industry experience.

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Areas of expertise

  • Electric vehicles

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