Course Contents

IoT Application Architecture

• Publish Subscriber Architecture
• Network Topology
• Network Protocols
• Wired communication protocols
• Wireless communication protocols
• Smart Sensor Applications

IoT Design Architecture

• IoT Client Server Architecture
• IoT Device Architecture
• IoT Network Architecture
• Sensors & Actuators

IoT Design Considerations

• Interfacing Peripherals Requirements for making an IoT Device
• IoT Hardware World
• Sensor selection criteria
• Getting started with Hardware Level

Introduction to Microcontroller Boards

• Specifications of ATmega2560
• Getting started with Arduino Mega Board
• Setup Arduino
• LED�s Programming with Arduino Mega Board

IoT Communication Interfaces

• Serial Communication
• Baud Rate
• Interfacing IR Proximity Sensor
• Controlling LED via Serial Communication from PC

IoT Peripheral Interfaces

• Interfacing LM35 Temperature Sensor with Arduino Mega
• Interfacing Pushbutton switch with Arduino Mega
• Introduction to PWM
• Intensity controlling of LED using PWM

Introduction to Physical Layer Protocols in IoT

Getting started with HC05 Bluetooth Module

Interfacing HC05 with Arduino

Controlling LED from Android

Voice Control for LED

Working on Raspberry Pi

• Installing MQTT Broker on Raspberry pi
• Testing Publish & Subscribe methods
• Introduction to WebSocket�s

MQTT Broker Programming

• Programming Arduino+ESP8266 to connect to MQTT Broker
• I2C & SPI Protocols Programming web sockets
• Transport Layer Protocols in IoT

IoT Server Client

• TCP V/s UDP
• Making TCP Server & Client
• Making UDP server & Client
• HTTP v/s CoAP Programming for CoAP

Cloud Computing & IoT

• Data Analytics
• AWS IoT Cloud
• Device Registration
• Device shadow
• Rule Action
• Interfacing Raspberry Pi with AWS IOT
• Generating Email, SMS Triggers
• Storing data on Dynamo DB

Application Use cases of Iot

• Getting started with Pub Nub IOT Revisited
• Iot Revisited
• Best Hardware Platforms for IOT � Arduino/RPi/Intel Galileo/Edison/Beagle bone Black
• Best Programming Languages for IoT
• Companies and products in IoT Industry in India

IoT OSI Model

• IoT Physical Layer Protocols
• IoT Network Layer Protocols
• IoT Transport Layer Protocols
• IoT Application Layer Protocols
• IoT Sensors
• IoT Actuators

Internal Live Project & Certification

• Final Assessment

Prerequisite

To start with IoT, we recommend interested candidates to understand basics of embedded systems and some logical knowledge of programming languages. Prior knowledge of IDE/development environment will be beneficial

How We Coach

Acceleratron researched that advanced courses are majorly available in urban cities, which are unavailable for rural candidates. If any candidate wants to take these courses, then they must stay temporarily in cities. Also, they send a lot of time, energy & money during their daily convenience.

To overcome all these situations, we deliver our course through virtual classes. During our interactive sessions, we engage our students with discussions & hands-on. Acceleratron learning process is divided into two parts, viz. knowledge gathering and skill development. Teachers & coaches deliver knowledge within the virtual interactive class. During these classes, students are provided with assignments which are time-bound activities.

Our Sessions

Our sessions are 2 hours long. The entire course takes approximately 36 Hrs. Every week two classes are organized, which include technical and practical class. These classes are scheduled on Monday & Friday. Mostly these sessions are arranged in the late evening to avoid any schedule conflicts with professionals and students. Candidates should also be available for the group activities like project discussion, project status meeting. On regular intervals (biweekly/monthly), we take feedback from our students to maximize the effectiveness of our learning process.

Journey with Acceleratron

Journey with Acceleratron starts from enrolment of a candidate through online enrolment form. During enrolment, each candidate pays enrolment fees*. Once enrolled, candidates will go through an intake discussion. We capture a few details about the candidate during this discussion.

We capture a few details about the candidate during this discussion. We start with our course delivery. At this point, candidates don't pay us any tuition fees*. After the first week, if the candidate is unhappy, we don't charge any tuition fees*

* The fees structure varies with the country from which the candidate is joining. Please contact Acceleratron help desk or your referee to get more insight on our fees structure. else he pays the first instalment of the tuition fees*. After the completion of the first month (started from the first class of the curriculum), If the candidate wants to continue with our course, then he pays the final instalment. We tailored our course in slots so that the candidates can always have an option to withdraw, without any financial loss.

Learning Outcomes & Exit Profiles

After the completion of this course, candidates would be able to

• In-depth understanding of IoT system, architectures, components, and supporting technologies
• Architecting end-to-end IoT systems
• Understanding business needs and translating requirements into supporting architecture and models
• Analyzing existing business processes to understand and build a technical strategy to develop need-aligned technical solutions
• Translation of customer requirements into technical specifications and developing proof of concepts and prototypes
• Expert-level knowledge of core concepts, background technologies, and sub-domains of IoT
• Knowledge and skills of sensors, microcontrollers, Single Board Computers (SBCs) - Raspberry Pi as a prototyping platform, and communication interfaces (WiFi/Bluetooth) to design and build IoT devices
• Knowledge and skills to design and build a network based on client-server and publish-subscribe to connect, collect data, monitor, and manage assets
• Knowledge and skill to write device, gateway, and server-side scripts and apps to aggregate and analyze sensor data
• End-to-End IoT solution development and deployment on a cloud platform