Syllabus

 Syllabus:

Module-1:  Introduction of IOT

• Demystifying the IoT Paradigm
• Introduction to IOT
• IOT architecture with real time examples
• Sensing , Actuating, Basics of Networking, Basics of Electronics, Protocols

Module 2 – Introduction to Electronics Devices

          Passive Components:

• Resistors : Types of Resistors, Use cases of Resistors, Resistors Rating, Resistor Handling and Installation
• Capacitors : Types of Capacitors, Use cases of Capacitors, Capacitor Ratings, Capacitor Handling and Installation
• Diodes : Diodes types, Diode Rating, Diode Handling and Installation
• Interface Components : Switches, Plug, Sockets, Panel Control
• Transistors : Transistor Packaging, Transistors Handling and Installation, Use Cases
• Integrated Circuits: Introduction to IC’s, Pin Identification, Numbering Convention, IC handling and installation, Electrostatic Discharge Protection.
• Breadboard: Breadboard connections.

Module 3 – Data Representation

• Electricity , Electric Current, Electric Potential
• Ohm’s law
• DC Power supply, Voltage Transfer
• Signals : Analog and Digital sensors
• Sensors : Analog and Digital sensors
• Analog to Digital Conversion: Introduction, On chip ADC’s, Calculation and conversion as per bit size of ADC.
• Serial Communication
• UART Protocol.

Module 4 – Arduino Boards

• What is Arduino
• Types of Arduino Boards
• Arduino Mega : ATMEGA 2560
• Board Detail
• Installation of Arduino IDE
• Programming structure : Data types, Variables, void setup(), void loop(), Functions
• Arduino Functional Libraries : I/O Functions, Advanced I/O Functions, Character Functions, Maths Functions

Module-5 – Assciated Hardware

• IR Sensor FC-51: Use Case, Pin Diagram, Data sheet description, Integration with Arduino Mega, Obstacle detection application, Proximity sensor.
• Bluetooth Module HC-05: Use Case, Pin Diagram, Data sheet description, Integration with Arduino Mega, Integration with PC, Communication from your Mobile Application to Arduino Mega.
• Wi-Fi Module ESP8266: Use Case, Pin Diagram, Data sheet description, Integration with Arduino Mega, AT Commands.

Module-6– Cloud Services

• Things Speak Cloud, Creating a channel, Real time data storage, Communication via Arduino.
• Creating a simple IOT project using Sensor, Arduino, WiFi Module, Things Speak cloud.

Module 7 – Basic of Python Programming

• Introduction to Python
• Why Python
• Installation of IDLE, PIP Packages, Interpreter.
• Variables, Data types, String functions, Lists, Tuples, Dictionary, Operators and usage, Control structures, Functions
• Python – OOPS Concepts
• Modules : Python I/O, Glob, Python Exception Handling.
• Python CGI Programming
• Why and Where to use Common Gateway interface basics.
• Setting up Python HTTP server
• CGI Header, Environment variables, GET and POST methods, Status code.
• Python Networking
• Sockets, Client Server Applications
• TCP & UDP Communication

Module 8 – Rasberry Pi

• What is Rasberry Pi
• Rasberry Pi -3 Board details : System on Chip, Cortex A-7, Connecting Display and Audio pins, Peripherals, GPIO.
• Instalaltion: Booting Rasberry Pi for first time, Installation setup, Linux, Raspbian, bash basics, Install software, Seting up VNC Server and Client,
• Rpi.GPIO Python library, GPIO Module
• Rasberry Pi Programming : LED Blinking

Module 9 – LAMP

• LAMP : LinuxApacheMySqlPHP
• Rasberry Pi configuration Window, SSH, Apache Installation, MySql installation, FTP installation
• PubNub : Setting up PubNub Python library

Module 10: Micropython

• Ipython, Micropython
• Building and Running Micropython on ESP8266

Module 11: MQTT

• What is Message Queue Telemetry Transport
• Use cases MQTT
• MQTT Publish/Subscribe
• How it works, Terminologies, Security
• MQTT & TLS, Session Resumption, MQTT Message Format,.
• Installing and Testing Mosquitto MQTT broker on PC
• Installing RabbitMQ
• Installing Pika

Module 12: Machine Leaning and Pandas

• Why Machine Learning
• Statistical data Analysis : Supervised learning and Unsupervised Learning
• Over fitting, under fitting and biased variance trade-off.
• Scikit Learn : Benefits of Scikit Learn
• Installation of Scikit Learn, Introduction to Iris Data set
• KNN classification, Step Modelling Pattern.
• What is Pandas?
• Library Highlights
• Data Structures
• Series
• Reading Assignment, Membership, Mathematical Operators, Data Frames
• IO Tools : Text, CSV, HDF5

Module 13- AWS IOT

• AWS IOT
• Introduction to AWS
• Components of AWS : Device Gateway, Message Broker, Rules Engine, Security and Identity Service, Thing Registry, Thing Shadow, Thing Shadows service
• NoSQL Databases
• Use Cases
• Data Modeling