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Internet of Things

Build Your Own Internet of Things. Learn the creation of Internet of Things products and services

Months Icon 3 Months
38 Modules
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Key Features

OSACAD is committed to bringing you the best learning experience with high-standard features including

Key Features
Real-time Practice Labs

Learning by doing is what we believe. State-of-the-art labs to facilitate competent training.

Key Features
Physical & Virtual Online Classrooms

Providing the flexibility to learn from our classrooms or anywhere you wish considering these turbulent times.

Key Features
24/7 Support On Slack

Technical or Technological, we give you assistance for every challenge you face round-the-clock.

Key Features
Job Interview & Assistance

Guiding in & out, until you get placed in your dream job.

Key Features
Live projects with our industry partners

An inside look & feel at industry environments by handling real-time projects.

Key Features
Internship after course

Opportunity to prove your talent as an intern at our partner firms and rope for permanent jobs.

Why IOT ?

Why Data Science
It Automates Your Style Of Living

IoT gives the best solution for your home with easy control of lights and temperature. It will transform your normal way of living to an automated way of living. Cars with self driving mode, a Multi-Colour bulb are best examples of IoT solutions that Automates your style of living

Why Data Science
Practical Implementation Of Core Technologies

If you have a basic knowledge of technologies like Sensors, Actuators, communication channels, Connectivity protocol Messaging protocol etc then IoT Training will help you to build it practically on your own IoT Hardware Kit. Once you understand how to use this technology then you can easily emerge it out in your near future.

Why Data Science
Good Understanding On Business Strategies

There are so many e-commerce platforms where people do their business on smartphones and PC’s. You need to think from a user point of view to stay one step ahead from competition. IoT provides an aim to understand the business tactics and speed up your knowledge. Someone who wants to start a new business with new techniques shall take this course.

Who is This program for

  • Fresh graduates who wish to make a career in the field of IOT
  • Final year engineering students who are interested in the Internet of Things
  • People who are curious about how the devices are built and interested in understanding the principles of their operation
  • Best suit for people who would like to become professionals such as Cloud Engineer, Embedded Engineer, Network Engineer, UI Engineer
Who is this program


Best-in-class content by leading faculty and industry leaders in the form of videos,
cases and projects, assignments and live sessions.

In this course, we will explore the convergence of multiple disciplines leading to todays’ Smartphones. This course provides a core grounding in how science and technology have developed to enable the Internet of Things – in a way appropriate for any learner.

WEEK 1: Introduction to IOT

  • Welcome to the Internet of Things Specialization!
  • Circuit Switched Networks
  • Birth of the Telephone
  • Control Plane
  • Data Plane
  • Broadcast Innovations
  • Broadcast Industry
  • Content is King
  • Audio and Speech Coding
  • Shannon: Information Theory
  • Transistor
  • C and UNIX
  • Regulated Monopoly
  • Breakup of AT&T
  • Impact on Research
  • History of Bell Systems
  • AT&T System in 1953
  • More optional reading
  • Packet Switched Networks
  • Control Switched and Packet Switched
  • TCP / IP Protocol
  • Open Standards
  • Email
  • Browser
  • Voice over RTP/UDP/IP or VoIP4m
  • Broadcast / Multicast

WEEK 2: Computer Telephony

  • Data Plane
  • Control Plane
  • Introduction to Lesson
  • The Big
  • Power Shift
  • Introduction to Lesson
  • Message Machine
  • Interactive Voice Response
  • Call Centers
  • What happened to the dial tone?
  • The 911 Fiasco
  • Hackers get into your phone
  • Wireless Technologies
  • AT&T almost missed the boat
  • Introduction to Lesson
  • Leveraging Telephony Infrastructure for Mobility
  • Billing and Prepaid
  • Introduction to Lesson
  • Get more spectrum
  • Improving Spectral Efficiency
  • Reduce data rate for each voice call
  • 3G and 4G evolution
  • WiFi , Bluetooth
  • Other low power radios
  • Introduction to Lesson
  • Telephony 1-to-1
  • Broadcast 1-to-N
  • Sensor Networks N-to-1
  • A platform for IoT
  • Further reading on 1G and 2G cellular
  • Features and Apps
  • Solutions Looking for Problems
  • Unintended Consequences
  • Phones get GPS
  • Phones get Cameras, accelerometers, etc
  • Advanced Readings
  • Future Outlook
  • Build your own IoT
  • Specialization in a Nutshell
  • IoT: mHealth
  • IoT: Smart Homes
  • IoT: Automotive
  • Links for mHealth video

In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. We will use the DragonBoard™ 410c single board computer (SBC).

WEEK 1: Introduction and Supplemental Materials

  • Acronyms (DragonBoard™ 410c)
  • Acronyms (General)
  • High and Low level programming
  • Object oriented programming
  • C-programming (Systems/applications)
  • Root/Superuser
  • Levels of Abstraction
  • UNIX
  • MS-DOS
  • DragonBoard™ 410c
  • Introduction to Git
  • Git Setup, Git Commands
  • Introduction to ADB
  • ADB Protocol, Using the ADB Protocol
  • ADB over WIFI
  • Fastboot
  • Booting into Fastboot
  • Fastboot Protocol, Using the Fastboot Protocol
  • ADB Shell Commands
  • Fastboot Commands

WEEK 2: DragonBoard Bringup and Ecosystem

  • Board layout and features
  • The Out of Box Experience
  • Linux Install and walkthrough
  • Resources and walk through
  • Assigned Homework
  • The 96Boards specification
  • History of the DragonBoard 410c
  • SoC Deep Dive
  • Onboard Storage
  • Memory (RAM) and Swap Space
  • Onboard Expansion Connectors
  • Software
  • Assigned Homework
  • 96Boards Ecosystem - Getting started
  • Mezzanine Guidelines
  • Community Mezzanine Initiative
  • Vertical Markets and Path to product
  • Assigned Homework
  • About the Dragonboard™ 410c
  • Important Board Components
  • Technical Specifications
  • Choosing an operating system
  • Purchasing your Dragonboard™ 410c
  • Registering with 96boards
  • Registering with Qualcomm® Developer Network
  • A look back at Lesson
  • Boot Configuration
  • Booting up your Dragonboard™ 410c
  • Android Developer Mode (Android Only)
  • Testing your Dragonboard™ 410c
  • Shutting down your Dragonboard™ 410c
  • Caring for your Dragonboard™ 410c
  • DragonBoard™ 410c

WEEK 3: Mezzanines and Sensors (Canned Demos w/ software)

  • File system and tools
  • IDE and command line walkthrough
  • Assigned Homework
  • Sensors Mezzanine Kit
  • I/O - Input / Output
  • Setting up hardware and your development environment
  • GPIO in the shell
  • ATMEGA Walkthrough
  • Libmraa Walkthrough
  • Libupm Walkthrough
  • Git Walkthrough
  • Editor choices, IDEs and languages
  • Advanced Version Control Commands
  • Contribute and grow
  • Description and Execution
  • Code Walkthrough

WEEK 4: Advanced Projects and Code

  • Open Embedded Overview and Building from Source
  • Debian Overview and Building from Source
  • Android Overview and Building from Source
  • Assigned Homework
  • Description and Execution
  • Code Walkthrough
  • Assigned Homework
  • Description and Execution
  • Code Walkthrough
  • Assigned Homework

In this course, you will learn to interface with the AWS cloud. You will then develop software to send data to and receive data from the cloud. Along the way, you’ll learn how to structure your project with a variety of these different services.

WEEK 1: Cloud 101 for Dragonboard 410c

  • The Cloud
  • AWS Services
  • Systems Architecture
  • Assigned Homework
  • Amazon AWS - Bring Up
  • Assigned Homework
  • MQTT Protocol
  • Assigned Homework
  • Elastic Cloud Compute (with LAMP)
  • REST API & PHP Walkthrough
  • RDS, S3, and Code Commit
  • Assigned Homework
  • Rekognition
  • Polly
  • Lex
  • GPU's for Machine Learning
  • Assigned Homework

WEEK 2: Real projects using AWS Cloud services

  • Description and Execution
  • Code Walkthrough

WEEK 3: Advanced Projects and Code - Deep dive

  • Description and Execution
  • Code Walkthrough

In this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages. You will start by using the Session Initiation Protocol (SIP) for session management. Next, you will learn how voice codecs such as Adaptive Multi Rate (AMR) are used in 3G networks and use them for voice traffic in your app.

WEEK 1: Introduction

  • Acronyms
  • Frequent Terminology
  • Software Stack
  • Internet Protocol
  • Packet-switched Network
  • A look back at Lesson
  • Introduction to Lesson
  • PSTN: The Traditional Phone
  • Linphone Source Code
  • Codec Selection
  • A look back at Lesson

WEEK 2: VOIP in a Nutshell

  • What is VoIP?
  • Flavors of VoIP
  • What is Linphone?
  • Linphone Features
  • Setup
  • Linphone Essentials
  • SIP
  • Protocol Operations
  • Network Elements
  • SIP Messages

WEEK 3: Codecs

  • Why compress data?
  • Why does it work?
  • What to look for?
  • Amplitude - Log Companding (PCM)
  • Time - Adaptive, Delta Quantization (ADPCM)
  • Frequency - ADPCM in multiple subbands (Subband ADPCM)
  • Speech production model
  • Linear Predictive Coding of Speech
  • 2G / 3G Codecs
  • Voice Quality
  • VoIP over Wireless

WEEK 4: Make your own VoIP application

  • SipProfile
  • SipManager
  • Code Walkthrough
  • Deploy and Demo
  • VoIP and the Smart Home
  • VoIP and the Smart Office
  • Mobile VoIP and EoIP

In this course, you will learn the principles of video and audio codecs used for media content in iTunes, Google Play, YouTube, Netflix, etc. You will learn the file formats and codec settings for optimizing quality and media bandwidth and apply them in developing a basic media player application.

WEEK 1: Introduction

  • Multimedia Computing and Classification
  • Multimedia Importance
  • Driving Forces in Multimedia
  • Multimedia Applications
  • Working with Libraries
  • A look back at Lesson
  • Introduction to Lesson
  • Android Multimedia
  • C/C++
  • Python

WEEK 2: Codecs

  • Multimedia Technologies
  • A Generic Model
  • Audio Processing
  • Image Processing
  • Video Processing
  • Quality Evaluation
  • Introduction to Lesson
  • Pixel Camera
  • Fall Risk Assessment
  • An Objective Balance Test

WEEK 3: Computer Vision and our Application

  • What is Computer Vision?
  • Applications of CV
  • SimpleCV vs OpenCV
  • Setting up your environment
  • Basic Application
  • Adding Features
  • Server Setup

In the Capstone project for the Internet of Things specialization, you will design and build your own system that uses at least 2 sensors, at least 1 communication protocol and at least 1 actuator. You will have a chance to revisit and apply what you have learned in our courses to achieve a robust, practical and/or fun-filled project.

WEEK 1: Introduction

  • Specialization Trailer
  • Capstone Slides
  • The BIG picture

WEEK 2: Capstone, Part 1 - Getting ready

  • Introduction to Part 1
  • Approach
  • System Components
  • Reflection
  • Tips and examples
  • 1 practice exercise
  • Reflective quiz

WEEK 3: Capstone, Part 2 - Getting set up

  • Introduction to Part 2
  • What's in the box?
  • Back in the box!
  • Outdoor test of system
  • Wrapping up the capstone
  • Closing in on the final

WEEK 4: Final - The last module

  • Review assignment
  • Submission
Hours of Content
Case Study & Projects
Live Sessions
Coding Assignments
Capstone Projects to Choose From
Tools, Languages & Libraries

Languages and Tools covered

Languages and Tools covered Languages and Tools covered Languages and Tools covered Languages and Tools covered Languages and Tools covered Languages and Tools covered

Hands On Projects

GSM-based Cellular IoT Home Automation

We are going to make an IoT-based cellular device for home automation, which will help you in controlling your home appliances, no matter where you are.

IoT-Based Smart Agriculture System

In this project, we are going to make an IoT-based smart farming system that can monitor soil moisture. Through this device, we will be able to automatically irrigate a piece of land and wirelessly spray fertilizers and pesticides using our phone while we are busy with other work.

Designing IoT Face Recognition AI Robot

In this project, we are going to learn how to design a smart AI robot. This robot recognizes a person’s face, can recognize that person’s voice and thus receive various commands for welcoming guests or for security purposes.

Design Your Own Low-Cost IoT Robot

There are many types of robots, from simple toy cars to advanced industrial robots. The Wi-Fi-controlled IoT robot described here uses NodeMCU and Blynk apps. It can be controlled wirelessly using any Wi-Fi enabled Android smartphone.

IoT-Enabled Air Pollution Meter With Digital Dashboard On Smartphone

Presented here is an IoT enabled air pollution meter to monitor air quality on your smartphone using Blynk application and Arduino board. Blynk is an Internet of Things (IoT) platform to control Arduino, Raspberry Pi and the like over the Internet.

Build An IoT-Based Motion Detector Using Cayenne

Presented here is a motion-sensor-based security system using Cayenne and Arduino Uno. Cayenne is the simplest and easiest platform for the Internet of Things (IoT) systems. It allows you to connect regular boards like Raspberry Pi, Arduino and LoRa


Our training is based on latest cutting-edge infrastructure technology which makes you ready for the industry.Osacad will Present this certificate to students or employee trainees upon successful completion of the course which will encourage and add to trainee’s resume to explore a lot of opportunities beyond position

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Artificial Intelligence which is a global company with headquarters in Chicago, USA. Artificial Intelligence has partnered with GamaSec, a leading Cyber Security product company. Artificial Intelligence is focusing on building Cyber Security awareness and skills in India as it has a good demand in consulting and product support areas. The demand for which is predicted to grow exponentially in the next 3 years. The Artificial Intelligence training programs are conducted by individuals who have in depth domain experience. These training sessions will equip you with the fundamentalknowledge and skills required to be a professional cyber security consultant.

All graduates of commerce, law, science and engineering who want to build a career in cyber security can take this training.

There are a number of courses, which are either 3 months or 6 months long. To become a cyber security consultant we recommend at least 6 to 9 months of training followed by 6 months of actual project work.During project work you will be working under a mentor and experiencing real life customer scenarios.

You can get started by enrolling yourself. The enrollment can be initiated from this website by clicking on "ENROLL NOW". If you are having questions or difficulties regarding this, you can talk to our counselors and they can help you with the same.

Once you enroll with us you will receive access to our Learning Center. All online classrooms, recordings, assignments, etc. can be accessed here.

Get in touch with us

What do you benefit from this programs
  • Describe the DragonBoard™ 410c peripherals, I/O expansion capabilities, Compute capabilities, and Connectivity capabilities.
  • Configure integrated development environment (IDE) for developing software.
  • Create and build projects that interface with sensors and actuators through GPIO and Arduino.

I’m Interested

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