Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure

Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom, Campus Based/Physical Classroom	Video and Text Based

Course Overview

The candidates who are interested in exploring the area related to the field of the internet of things should definitely take this Post Graduate Programme in the Internet of Things training. The course offered here by the BITS Pilani is a 100 percent online learning programme. Participants who are interested to pursue this course should spend at least 11 months completing the Post Graduate Programme on the Internet of the Things certification syllabus. Experienced faculty in the field will train the students on how they can deal with the situations and problems at the work front professionally. Learners will be able to learn through a 6-week capstone project where they can learn from the practical exposure provided by the faculty.

The enrolled candidates will be able to gain hands-on experience at the campus by pursuing the Post Graduate Programme in the Internet of Things programme. Campus immersion modules will help the candidates to learn and interact with their colleagues as well as with their faculty. Participants who will be able to complete this course successfully will become a vital part of BITS Pilani alumni. Faculty may teach the students the course of the course through interactive learning such as live lectures, discussions, and projects.

The Highlights

Online programme
Duration of this course 11 months
Weekly investment of 8-10 hours required
Certification available
EMI option available with 0 percent interest
Practical exposure through remote labs
6-week capstone project
2 campus immersion modules of 2 days each
Alumni status of BITS Pilani

Programme Offerings

Live Lectures
discussions
Projects
Modules
assignments

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	BITS Pilani

The Post Graduate Programme in Internet of Things fees is Rs.2,45,000.
Payable fees include GST.
Candidates need to pay a block amount of Rs.25,000.

Post Graduate Programme in Internet of Things fees details

Fee Category	Amount in INR
Block amount	Rs. 25,000
Registration amount	Rs. 2,20,000

Eligibility Criteria

Education

Candidates who are interested in pursuing this course should hold degrees such as BE/B.Tech, computer science, informatics systems/electronics/electrical/instrumentation for pursuing this Post Graduate Programme in Internet of Things Birla Institute of Technology, Pilani

Certification qualifying details

Candidates who want to achieve the Post Graduate Programme in Internet of Things certification for this course should complete all the modules, projects, and assignments in order to gain certification for this course.

What you will learn

Knowledge of IT industry

After pursuing the Post Graduate Programme in Internet of Things programme candidates will be able to learn about-

Candidates will be able to learn about how to design and implement IoT applications that can manage big data.
Students may acquire knowledge on how to integrate geographically distributed devices with diverse capabilities under the Post Graduate Programme in Internet of Things online course.
Through this curriculum of Post Graduate Programme in Internet of Things certification syllabus, candidates can learn about how to make connections with the cyber world with the physical world of humans, factories and automobiles.
Participants can gain information about accessing, selecting and customizing technologies for IoT applications under this Post Graduate Programme in Internet of Things certification course.
Students are able to use processors and peripherals to design and build IoT hardware.
Aspirants may understand the building blocks of IoT technology.
The enrolled candidates can explore the vast spectrum of IoT applications.
Experienced faculty will teach the candidates tips and tricks required for being successful in the field.
Students are able to learn about the software and hardware components of IoT.
Candidates can design applications for IoT applications as a part of the Post Graduate Programme in Internet of Things certification benefits.

Who it is for

The course is highly recommended for -

Engineers who desire to switch to IoT career opportunities.
Candidates who wish to IT, Logistics, Telecom, Energy and Manufacturing

Admission Details

Candidates will get admission in the Post Graduate Programme in Internet of Things by following these steps-

Step 1: Candidates should click on the link provided below https://bits-pilani-wilp.ac.in/certification-programmes/pgp-internet-of-things-iot.php

Step 2: Students are now required to create their accounts by registering their email ids respectively.

Step 3: The application form has to be filled by the candidates.

Step 4: Candidates will receive the provisional admission letter 2 days after submitting their application forms.

Step 5: After that participants should now submit an application fee, passport size photograph, id proof, and employment proof at the online application centre.

Step 6: Once all the formalities are successfully completed participants will be able to receive the final admission offer letter.

Step 7: Participants now have to submit the first installment and they will receive the student ID as well as the program schedule.

The Syllabus

Healthcare
Transportation and logistics
E-governance
Industry 4.0
Smart agriculture
Home automation
Smart city

Analytics in the cloud
Hands-on exercises
Introduction to IoT analytics on AWS
Complex event processing
Setting up flink in the cloud
Real-time stream analysis
Data analysis using spark and spark ML
Introduction to apache-spark
Setting up Hadoop on AWS
Offline, batch analysis using Hadoop
Introduction to Hadoop
Offline analysis

Guidelines for visuals
Dashboard setup
Connecting streams with dashboard
HTML5 canvas and inline SVG
Overview of D3.js

Predictive models for real-time data
Hands-on exercise using python libraries
Monitoring outlier detection and change detection
Forecasting with models
Models for real-time data
Processing streaming data
Complex event processing with Flink
Introduction of link
Complex event processing
Processing teams with kineses
Introduction to AWS kinesis
Processing streams with storm
Introduction to storms
Windows sampling
Approximate answers
Overview of data processing
Streaming data
Hands-on exercises
Introduction to kafka
Data flow management in the streaming analysis
Real-time streaming architectures
Characteristics

Images, videos, and speech analysis
Introduction to TensorFlow, Keras, OpenCV
Concepts and principles
Time series analysis
Linear models on time series
Stationary, non - stationary models
Windows smoothing
Introduction to orange, visual programming tools for ML
Introduction to python sci-kit library
Techniques for clustering
Techniques for classification and prediction
Techniques for identifying associations and correlations
Introduction to orange, visual programming tool
Introduction to python matplotlib
Sine and Mukti variable analysis
Exploring numeric and categorical data

Dealing with duplicates, null values, data, and time values
Introduction to python pandas library
RFID data cleaning: data redundancy
RFID data cleaning: missed data reading and unmissed dta reading
Characteristics of RFID data
Sensor data cleaning
Regression models
Probabilistic models: an online bayesian approach
Sources of error
Data acquisition and in distributed sensor network
Approaches for data acquisition
Query optimization issues
Query processing in distributed sensor networks
Data models for distributed sensor networks
Characteristics of distributed sensor networks
Python basics

Classes
Data structure: lists, tuples, sets, dictionaries
Strings, functions, lambda functions, modules, packages
Variables, identifiers, operators, expressions, control statements
Process of data analytics
Demonstrations
Overview of AWS services for IoT data
Technologies of data analytics
Role of analytics in IoT
Challenges in managing IoT data
Demonstrations of time series, Dynamo DB
Technologies for the challenges
Challenges in the data processing
Challenges in data storage
Data in IoT
Types of IoT data
Data sources in IoT data
Data life cycle in IoT with examples

Actuators
Actuators - motion control, motor control, relays, solenoid valve, and interface with microcontroller
Advanced sensing technologies
HCI - human-computer interfacing
BCI - brain-computer interface introduction, types, classification, techniques
Multi-sensor fusion
Data compression/decompression
Algorithms and techniques
Raw sensor data processing
Signal conditioning and processing
Sampling, synchronization
Sensors
Case studies for different application domains
Acoustic sensors
Photosensors
Biometric sensors
Motion sensors
Proximity sensors
Sensor categories
Commonly used software development technologies in IoT
Commonly used OS
Commonly used tools
Commonly used software development technologies and languages in IoT
Developing applications on Raspberry Pi
Sensor-based IoT applications development on raspberry pi
Set up raspberry pi
Developing applications on raspberry pi
Server-side application development
Implementing RESTful services [SOAP/CoAOP]
Web server implementation and deployment
Android client development
Device database
Working with SQLite database
Connectivity
Communication over internet
Communication over Bluetooth
Activities and intents
Intents
Activities
UI components
Buttons
Views
Layouts
android application architecture
Introduction to the operating system
Interprocess communication and shared memory
Remote procedure calls
Shared memory
Locks
Task priority and critical ability
Real-time scheduling algorithms
Components of operating systems
I/O communications
Memory model
Process, thread concurrency
IoT software architecture
Modular architecture
Life cycle model
Network security privacy

Security solutions
Security attacks
Issues and challenges
Common network standards
Summary [case studies]
Vehicular networks [CAN, Modbus, Ethernet/industrial protocol, MQTT, TTP/C, flexray]
Industrial networks
Industrial and automotive networks
Other standards
DSRC. WAVE
LORA
NFC
802.15.4 and variants
Bluetooth and variants
802.11 and variants
Network models and architecture
Interfacing to structured networks - broadband, cellular, satellite
VANET
MANET
WSN
Ad Hoc
Introduction to NS2
Communication models
P2P
Publisher subscriber
Client-server
Introduction to networking
Wired and wireless networks
TCP/IP stack
Communication and networking requirements in IoT
Introduction - application 1- fitness tracking system
Network hierarchy
Network requirements
Application overview

Power consumption and management
Low power modes
Dynamic techniques
Static techniques
Power management
Energy consumption analysis
I/O
DMA
Interrupts
Polling
Modes of transfer
I/O devices
ISP/IAP
Storage devices
Ports
Buses
Peripheral blue - USB, SPI, 112C, UART
System bus - AMBA
On-chip buses
Clock, timing, interrupt
Interrupt handlers
Priority logic
Interrupt latency, jitter
Interrupts
Timers
Platform-specific and non - specific
Clocking and clock gating
Memory
Memory protection
Memory management unit
Cache
Cache consistency and coherence models
Cache architectures
Cache hierarchy
IoT platforms
ARM architecture - superscalar
ARM architecture - scale
IoT platforms
Introduction to IoT applications
Microprocessors and microcontrollers for IoT
Parallel architectures [ILP, DLP, TLP]
IoT applications
Smart home exchange
Genetic architecture
Introduction
Smart environments - industrial application [process control] home automation
Challenge in design and environments
Enabling technologies
Overview
Transportation and logistics - applications
Building blocks - OS
Building blocks - cloud and communication
Building blocks - sensors
Building blocks - processor
Genetic fitness tracking system architecture
Key design challenges
Health care example - fitness tracking systems
Challenges in design and development
Enabling technologies
Overview
IoT system design examples
Weather monitoring system - hardware and software design, implementation with demo
Smart lighting system - hardware and software design, implementation with demo
IoT network and cloud services
Introduction to a cloud services model
IoT communication APIs - REST and web socket
Link, networking, transport, and application layer protocol
IoT platforms and end devices
Raspberry communication interfaces
Raspberry PI I/O interfaces
Introduction to OS and programming languages for IoT end devices
Raspberry architecture
Introduction to IoT physical endpoints and platforms
Design methodology and lifecycle
Example of level 6 system - weather monitoring
Design methodology - IoT reference model A
Example level 1 system - smart lighting
Design methodology - IoT reference model A
IoT - introduction
Different levels of IoT applications - level 1 - 6 with examples
IoT enabling technologies - physical emd points, network services, cloud
Introduction to IoT and cyber-physical systems

Instructors

BITS Pilani Frequently Asked Questions (FAQ's)

1: How can I attend lectures for studying this course?

The enrolled candidates who are interested in pursuing this course need to attend the lectures in digital mode only.

2: Is certification available after pursuing this training program?

Candidates need to complete the Post Graduate Programme in Internet of Things certification training including all the modules, assignments, and projects for receiving the certification for this course.

3: Can I be the alumni of BITS Pilani after completing the course curriculum?

Participants after completing this training program on the internet of things can be successful alumni of the BITS Pilani as a part of the Post Graduate Programme in the Internet of Things certification benefits.

4: Do I need to refer to the additional resources for better understanding of the subject?

Learners can refer to the additional resources in case they are interested otherwise all the necessary, as well as the required information, is available in the modules and through the projects.

5: How much time do I need to spend each week for completion of the Post Graduate Program in Internet of Things certification?

Aspirants are requested to invest at least 8 - 10 hours per week for completing the syllabus.

6: What if some doubts arise?

In case candidates face some problems or some doubt arise they can attend the live sessions where the faculty can clear the doubts. Discussion forums are also available which will help the students to clear their doubts.

7: What is a capstone project?

The Post Graduate Programme in Internet of Things certification course provides a 6-week capstone project to create a professional workspace mindset for all the students who are interested in pursuing this course. The enrolled candidates will learn and can achieve the practical exposure required for working in the field.

8: Can I get a refund?

Students can get a refund 14 days after the program starts. Refunded money will be processed within 45 working days.

9: Will I be able to receive job opportunities after completing this training program?

The area of IoT is getting immensely populated. Candidates who are pursuing this field if they are ready to study with full consistency and concentration can pursue this course and will be able to acquire many job opportunities.