Winternships 2018

Winter Internships = Winternships! Come have fun for 15 days and learn ton of technologies. From Machine Learning, and Internet of Things (IOT) to Computer Vision and Web Technologies. Everyone has something to learn. Everyone has something to gain. Register for topics of your choice.

* full details are given below click here

First Batch : 26 November to 10 December 2018

Register for IOT (Internet of Things) Register for Computer Vision Register for Web Technologies Register for Machine Learning

Second Batch : 16 December to 30 December 2018

Register for IOT (Internet of Things) Register for Computer Vision Register for Web Technologies Register for Machine Learning

Internet of Things (IOT)




Day-1
Introduction to IOT Technology
Introduction to Arduino Microcontroller Board
Arduino Programming Environment (IDE)
Interfacing LED, Buzzer


Day-2
Sensors, Actuators, Microcontroller and Smart Device
Introduction to Serial Monitor
Interfacing Push button, Proximity, LCD
Day-3 Interfacing LDR, Servo Motor, Temperature, Humidity, Ultrasonic Sensors


Day-4
Bluetooth Technology
App Development for Smartphone
Controlling IOT Bluetooth Enabled Devices through Smartphone


Day-5
Data Storage and Retrieval through SD Card
Time, Date and Calendar Management using RTC module
GPS technology

Day-6
Architecture of NODEMCU (ESP8266)
Data Communication with Cloud using WiFi Technology


Day-7
Architecture of Raspberry Pi Microcontroller Board
Linux commands for Raspberry Pi Board
Raspberry Pi Programming Environment (Python IDLE, LED blink)


Day-8
Interfacing Buzzer, DHT
Interfacing LCD, Proximity, Servo motor
Raspbian OS installation


Day-9
Introduction to ARM based microcontroller
Architecture of STM32
Programming STM32

Day-10
MQTT Protocol
RFID technology
Day-11 IBM Watson IOT Cloud Platform
Day-12 Data communication with Firebase
Day-13 Analysis of Applications of IOT
Day-14 Designing and Developing IOT Projects
Day-15 Projects presentation, Cultural program, Certificates distribution

Machine Learning




Day-1
Solving Real World Problems with Machine Learning
Python Libraries for Machine Learning
Installing scikit-learn
Supervised, Unsupervised and Reinforcement Learning

Day-2
Data Pre-processing
Dealing with Missing Data

Day-3
Partitioning Dataset into Training and Testing Data
Handling Categorial Data


Day-4
Features Engineering
Multidimensional Spaces and Feature Vectors
Data Visualization

Day-5
K-Nearest Neighbors
Classification

Day-6
Predicting with Regression
Logistic Regression

Day-7
Association Rule Mining
Market Basket Analysis

Day-8
Naive Bayes Classifiers
Decision Trees


Day-9
Support Vector Machines
Dimensionality Reduction with PCA
K-Means Clustering




Day-10
Performance Evaluation Metrics
Precision and Recall
Model Evaluation and Improvement
Hyper parameter Tuning
Cross Validation

Day-11
Machine Learning with Raspberry Pi
Introduction Deep Learning and Tensor Flow

Day-12
Introduction to Recommender Systems
Introduction to Sentiment Analysis

Day-13
Introduction to Digits Recognition
Introduction to Face Recognition
Day-14 Applications of Machine Learning
Day-15 Projects presentation, Cultural program, Certificates distribution

Web Technologies


Day-1
HTML
CSS


Day-2
MySQL Server
SQL
XAMP/WAMP/LAMP

Day-3
PHP
JavaScript


Day-4
JSON
Ajax
jQuery

Day-5
Bootstrap
Responsive Web App Development


Day-6
Client-Server Architecture
Client Side and Server Side programming
User Management
Day-7 MVC Methodology Web App Design

Day-8
Dynamic Web Site design
Google Map based App development

Day-9
Installing Local Server on Raspberry Pi
Data Communication with Cloud using HTTP protocol

Day-10
Data Communication with Cloud using MQTT protocol
IOT Cloud Platform Design

Day-11
Introduction to Node Red Technology
Introduction to Web Services and Micro Services

Day-12
Introduction to Laravel and Other Web Frameworks
Introduction to Django Web Framework (Python based)

Day-13
Introduction to Information Architecture
Introduction to SEO
Day-14 Design and Development of a Project
Day-15 Projects presentation, Cultural program, Certificates distribution

Computer Vision




Day-1
Image Basics
Video Basics
Color Models
Python Basics



Day-2
Setting up OpenCV
Creating Histograms
Applying Filters(blurring, sharpening, embossing, erosion, dilation)
Thresholding
Day-3 Transformation of images(translation, rotation, affine transformation)



Day-4
Edge Detection
Corner Detection
Hough Transform to find lines and circles
Contour Detection


Day-5
Object Detection
Object Tracking
Movement Detection

Day-6
Image Segmentation
Shape Detection

Day-7
Counting Vehicles
Counting People

Day-8
Face Detection
Color Detection

Day-9
Recognizing Traffic Signals
Panoramic Views
Day-10 Camera based Video Processing on Raspberry Pi

Day-11
Emotion Recognition
Camera Vision for Robots
Day-12 Introduction to Stereoscopic Vision
Day-13 Introduction to Augmented Reality
Day-14 Introduction to Virtual Reality
Day-15 Introduction to Machine Learning based Computer Vision

Program Details

Internship Domains
  1. IOT Technology
  2. Machine Learning
  3. Computer Vision
  4. Web Technology
Duration 15 Days
Batches 2 batches
Batch-1 26 November to 10 December 2018
Batch-2 16 December to 30 December 2018
Timings 10:00 AM to 5:00 PM
Lunch Break 1:00PM to 2:00 PM
Selection of Domain Students can select any one domain of their choice
Computing Requirements Students should bring their own Laptops
Fees for Internship + Training Program Rs. 3000 per student
Discount for Early Admission Rs. 200 for registration before 15 October 2018
Payment Modes Option A : Paytm to 9730045145
Option B : Net-Banking (Electronic Funds Transfer, NEFT/RTGS/IMPS)
Option C : Deposit Cash/Cheque/DD to Cognifront’s Bank Account.

The Bank account details are as below:
BANK NAME : HDFC BANK
BRANCH : SUYOJITSANKULSHARANPUR ROAD NASHIK MAHARASHTRA
A/C NAME : COGNIFRONT, A/C NUM : 12462020002900, A/C TYPE : CURRENT ACC
IFSC CODE : HDFC0001246
MICR CODE : 422240005
Refund of Fees Fees are NOT refundable
Selection of Candidates Seats are limited. Hence, admissions are given on first come first serve basis
Lodging and Boarding Assistance will be provided in getting Lodging and Boarding facilities near the place of Internship program. However, students will have to pay for their Lodging and Boarding separately. Details will be provided next week
Internship Real Life Applications and Projects will be covered in the Internship Program
Training As the Internship Programs are based on Advanced Technology Domains, Training will be imparted to develop advanced knowledge and skills. Theory as well as Hands on Experience will be provided
Venue Cognifront
C/O,
Loknete Gopinathji Munde Institute of Engineering Education & Research, Dongare Vasatigruha Parisar , Vasantrao Naik Chowk, Canada Corner, Nashik, Maharashtra 422002
Mentors and Trainers
  • Dr. R.S. Tiwari, PhD
  • Mr. Ganesh Gaikwad, BE (E&TC)
  • Ms. Anita Mahale, BE (E&TC)
  • Ms. Manisha Jane, BE (E&TC)
  • Mrs. Sushama Patil, BSc (Computer)
  • Mr. Ankush Agarwal, TE (Computer)
  • Mr. Suchit Tiwari, MS (Software Systems) BE (Computer Engineering)
  • Mrs. Meghana Tiwari, MSc (Computer)
Certification Certificate of Internship will be issued by Cognifront on successful completion of Internship and Training activities
Contact for further details dr.tiwari@cognifront.com
Dr. R.S. Tiwari   9422245764
Mrs. Sushma Patil   9673335309
Coordinators Name of the contact persons will be communicated next week