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Summer Training Program

Summer Training Program, a short term course in technology training, began in 2004 in response to the demand for professionally driven technology program tracks. Held during the summer vacations, the engineering students will get to pursue an Android Development course or Machine Learning, Data Analysis with Python, Big Data in Kolkata. This training program in Kolkata is designed keeping in view the latest industry trends and needs – making it a one-of-its-kind ‘industry readiness’ program.

Summer Training Program encourages engineering students to utilize their summer vacations by learning and developing their IT skills, gearing them for their future IT careers. This summer training for engineers is recognized by WBUT as part of the vocational training mandate.

Program Highlights

  • Training faculty accredited by global IT giants like IBM, CapGemini, CTS, Siemens, TCS, Tech-Mahindra, Wipro, R S Software etc.
  • In-depth theoretical grooming to build up developmental competency
  • The Project Report is recognized by MAKAUT as part of the Vocational Training mandate
  • Participation and project certificate for all successful candidates
  • Projects similar to real-life applications
  • Formal Project Evaluation by Technical panel
  • Pursue a whole gamut of new-gen courses like Android Development, Big Data, Hadoop or Python in Kolkata

Technology Tracks

The key advantage of machine learning is that it enables computers to access hidden insights, finding patterns that can either be used by researchers to find unknown patterns (as might be used for movie recommendation) or by businesses to find insights into customer behaviour or to target potential new consumers. Machine learning not only helps find things that people may not, it also does what people do far more quickly. Machine learning algorithms tend to operate at expedited levels. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Pre-requisites of the course

  • Good knowledge at algorithms development
  • Basic knowledge of statistics and conditional probability
  • Understanding of linear algebra: vector operations, matrix operation

Curriculum

  • Getting started with Python
  • Number Processing with Numpy
  • Database operations with Pandas
  • Data Visualization with Matplotlib and Seaborn
  • Fundamentals of Machine Learning
  • Hello World of Machine Learning :Perceptron algorithm using Numpy
  • Implementing Regression using Scikit-learn Module LinearRegression
  • Classification using scikit-learn : LogisticRegression
  • Feature Selection : importance and implementation using Scikit-learn
  • Non Linear classification using Decision Tree
  • RandomForest and ideas of Bootstraping and Bagging
  • Classification using Baysian Theory and Naïve-Bayes
  • Non Parametric Machine Learning Algorithm : K nearest neighbour(kNN)
  • Unsupervised learning using K-means cluster
  • Project

Data is key to every decision making. Efficient processing of data gives trends , hidden pattern along with many other aspects and all of them have immense importance for a business organization to strategize , positioning etc . Larger the amount of data better the result . Not so long back access to large amount of data was very difficult. But today due our access to the Internet and cheap sensors it is possible to access very high volume of data so large that requires thousands of computer to store and process them . These data are not only very large but also unstructured . These are commonly referred to as BigData. Traditional data processing technologies are incapable of handling such large volume of data. Hadoop is solution to this problem. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless
concurrent tasks or jobs.

Pre-requisites of the course

  • Knowledge of programming using JAVA, SQL

Curriculum

  • Necessary Java Knowledge for Hadoop
  • Introduction to BigData and Hadoop
  • HDFS
  • Introduction to MapReduce
  • Pig
  • Hive
  • NOSQL Database Management using HBASE
  • Project

Spring makes building web applications fast and hassle-free. By removing much of the boilerplate code and configuration associated with web development, you get a modern web programming model that streamlines the development of server-side HTML applications, REST APIs, and bidirectional, event-based systems.

Pre-requisites of the Course

  • Knowledge in JAVA & SQL is essential for the course

Curriculum

  • Introduction to Spring and Spring Boot
  • Setting up Development Enviornment
  • Fundamental of Spring Boot
  • Spring MVC with Spring Boot
  • Spring Data.
  • RESTful API’s with Spring Boot
  • Refractoring REST API’s
  • Building a CRUD Application.
  • Building Web Application with Java Spring Boot.
  • Project.

At the end of this course, participants will be able to develop advanced ASP.NET MVC applications using .NET Framework tools and technologies. The focus will be on coding activities that enhance the performance and scalability of a web application. ASP.NET MVC will be introduced and compared with Web Forms so that participants know when each should/could be used. This course will also prepare the participants for Microsoft certification exam 70-486.

Pre-requisites of the Course

  • Knowledge of programming using C

Curriculum

  • Collections, Generic collections
  • Introduction to ASP.NET
  • ADO.NET and database connection
  • Lambda expression, LINQ concepts
  • LINQ To Objects. Linq To SQL, LINQ to XML
  • CRUD operations using MS SQLServer DB
  • HTML 5
  • CSS3
  • Jquery
  • MVC Architecture
  • Routing in MVC
  • Controller, Action Method/Selectors, ActionVerbs
  • Model Binding and validation
  • Layout view and other views.
  • Filters and action filters
  • Authorization and Authentication in MVC
  • Windows Communication Foundation (WCF) overview
  • JSON v/s XML
  • Web API, Integration with Web Services
  • Entity Framework
  • Project

Data Analytics is important in business to understand problems facing an organisation, and to explore data in meaningful ways. Data in itself is merely facts and figures. Data analysis organises, interprets, structures and presents the data into useful information that provides context for the data. This context can then be used by decision-makers to take action with the aim of enhancing productivity and business gain. Python language provides necessary tools and techniques for the purpose of data analysis.

Pre-requisites of the Course

  • Programming knowledge using C, C ++
  • Knowledge of SQL will be beneficial

Curriculum

  • Python Language Basics
  • Build-in Data Structures, Function
  • Numpy Basics: Array and Vectorized Computation
  • Pandas
  • Data Loading
  • Data Cleaning and Preparation
  • Data Wrangling: Join Combine, Reshape
  • Plotting
  • Data Aggregation and Group Operations
  • Introductory Statistics
  • StatModels : Statistical Model creation
  • Project

A full-stack developer career is worthwhile, given the rise of technology and business reliance on technological advancement.advance. Angular JS is a popular framework for building dynamic web applications. It is often used in conjunction with other technologies to create a full stack development environment. As Full-stack web developers can do all the processes by themselves they are valued well in the companies. Top-tier companies are converted from the traditional method and try to hire full-stack web developers.

Pre-requisites Of the course

  • Proficiency in HTML, CSS, and Java Script

CURRICULUM

  • Fundamental of JSS
  • Introduction to Angular JS
  • Angular JS Building Blocks
  • Single Page Applications
  • Controllers
  • Models
  • Expressions
  • Filters
  • Scopes
  • MVC in Angular JS
  • Modules
  • Routing and Views
  • Data Bindings in Angular JS
  • Services &Factories
  • Forms and Directives
  • Node.js and Express.js
  • MONGO DB and Forming Queries
  • Updates,Deletes and More Complex queries
  • Project

Internet of Things can create a world where in each and every device in your home, workplace and car are connected. “Internet of things” takes the world to the next level by providing advanced interaction between devices, actuation and automation systems and services. It is not a second internet, but is a network of devices that are connected to the internet. It is said to be the evolution of internet architecture. The IoT is expected to offer incredible potential for business opportunities. It creates the potential not just for creating market transformation, but also creates market disruption. Moreover, these devices can be used to collect current and real time information that is more meaningful and actionable to the business.

Curriculum

  • IOT system architecture
  • IOT Phy connectivity
  • Short, Medium, Long range wireless
  • IOT Networking
  • IOT Security
  • Project

A Microsoft azureprogram can enable you to pursue a wide range of career options. You can become a cloud architect, a developer, or a solution architect. In addition, the certification enables you to work in various industries at different locations. Companies in all industries migrate to the cloud because of the benefits they get in storage, computing, and networking. An Azureprofessional can get into different roles in industries like health care, finance, and entertainment.

Pre-requisites Of the course

  • Knowledge of Computing Fundamentals with HTML and Java/Python

CURRICULUM

  • Fundamentals of Cloud Computing
  • Cloud Infrastructure and Cloud Advantage
  • Azure Fundamentals
  • Overview of all Azure Services
  • Azure Storage
  • Storage Account Replication Techniques: LRS, ZRS, GPS & RA-GPS
  • Azure Virtual Network
  • Architectural differences between Azure VPNs like VNET to VNET,point-to-site and site to site.
  • Azure Virtual Machines
  • Understanding Concepts of: Load Balancing, Availability Set and Auto Scaling
  • Azure Web Apps
  • Resource Group and App Service Plans
  • Azure SQL Database
  • Advance Capabilities

Cybersecurity and ethical hacking are crucial for securing online data, user authentication, and privacy protection. Ethical hackers focus on identifying and resolving security vulnerabilities, while cybersecurity experts aim to protect networks and data from unauthorized access. Cybersecurity and ethical hacking are more important than ever because of the rise in online data risks and attacks. Professionals in cyber security and ethical hackers are in high demand.

Pre-requisites Of the course

  • Knowledge of basic programming in C/C++/Java

CURRICULUM

  • Introduction to Cyber Security & Ethical Hacking
  • Cyber Law & Case Studies
  • Information Security & Cryptography
  • Virtualization & Penetration Testing
  • Footprinting & Reconnaissance
  • Security & Hacking using C programming
  • Computer Virus & Malware Threats
  • Setup, Penetration Testing & Reporting of a Web Application
  • Cyber Attacks & Precautions
  • Computer Forensics & Investigative Process
  • How to use the Kali Linux
  • Project

According to StatCounter, market share of Android is 76.61 %. At the same time number of people using smartphone to theirs day to day work is increasing. It is expected to reach 2.7 billion by 2019. These fact underlines the importance of Android App Development as any business organization will try reach customer through Android powered app. This course will take the students through the various intricacies of Android App Development using Studio.

Pre-requisites of the Course

  • Knowledge in JAVA & SQL is essential for the course

Curriculum

  • Revising Java
  • Android Architecture
  • Developing a simple Activity
  • Android Intents
  • Android Menu
  • Activity lifecycle
  • Fragments
  • List View
  • Material Design Controls
  • Thread
  • Service
  • Broadcast Receiver
  • Notification
  • Location  and Google Map
  • Firebase
  • Project

Django is an open-source web framework that encourages rapid development, clean code, and the “Don’t repeat yourself” (DRY) principle. It provides tools and libraries that simplify web development, making it easier for developers to create web applications with less effort. Django is known for its robustness and follows the Model-View-Controller (MVC) architectural pattern, which helps organize code efficiently

Pre-requisites of the Course

  • In-depth understanding of Python is essential (For beginners, it is highly advised to know the basics of Python first before learning Django)
  • Familiarity with HTML, CSS, and basic web development concepts is needed
  • Basic understanding of databases and SQL will be useful

Curriculum

    • Web Development
    • Introduction to Django Web Framework
    • Features of Django
    • Installing Django
    • MVC Model
    • HTTP Concepts
    • Views
    • URL Mapping

The MERN stack is a collection of technologies that help developers build robust and scalable web applications using JavaScript. The acronym “MERN” stands for MongoDB, Express, React, and Node. js, with each component playing a role in the development process.

Pre-requisites of the Course

  • Knowledge of front-end languages like HTML, CSS, and JavaScript
  • Proficiency with front-end tools like Visual Studio Code and Git
  • Understanding the basics of Website Design
  • Understanding how to use React

Curriculum

  • What is Mern Stack
  • Mern Stack Course Plan with Details
  • Module 1: Introduction to Fullstack
  • Module 2: UI Design
  • Module 3: HTML
  • Module 4: CSS
  • Module 5: Frontend Development
  • Module 6: Bootstrap CSS Framework
  • Module 7: Javascript
  • Module 8: DBMS using MongoDB
  • Module 9: NodeJS
  • Module 10 – ExpressJS
  • Module 11 – ReactJS

Embedded systems and VLSI has emerged as a one stop career destination for candidates having interest in electronics and hardware-software. Embedded system courses are offered at various levels, which include certificates, diploma, graduate and post graduate courses. Embedded systems syllabus include topics like computer architecture, complex embedded systems logic and RF circuit design among others.

Pre-requisites of the Course

  • Basic knowledge of digital circuits and electronics
  • Good understanding of programming languages such as C or Verilog
  • Familiarity with computer-aided design (CAD) tools such as computer-aided design software, schematic capture tools, and simulation tools

Curriculum

  • Advanced Digital Design
  • VHDL: Language and Coding for Synthesis Verilog
  • HDL: Language and Coding for Synthesis RTL Verification (System Verilog, UVM)
  • FPGA Design Methodology and Prototyping CMOS Logic and Physical Design
  • Embedded Controller based Product Design Project

Tableau is built on the work of scientific research to make analysis faster, easier, and more intuitive. Analyzing data in a quick, iterative way that provides immediate feedback makes the products engaging, fun, and easy to learn. Learning Tableau does not require prior programming or technical knowledge, making it accessible for individuals seeking to advance their career in data analysis. The learning process for Tableau varies with individuals, typically ranging from two to six months for a working knowledge of the platform.

Pre-requisites of the Course

  • Basic understanding of computers

Curriculum

  • Introduction to Tableau
  • Explore Tableau Desktop
  • Explore Visualization in Tableau
  • Data Transformation in tableau
  • Data Modelling
  • Data Manipulation
  • Advanced Tableau Features
  • Data Level Security in Tableau
  • Tableau Server
  • Best Practices & Mobility in Tableau
  • Python Installation and Configuration
  • Python Integration with Tableau
  • In-class Project – Tableau

In practice, digital marketing typically refers to online marketing campaigns that appear on a computer, phone, tablet, or other device. It can take many forms, including online video, display ads, search engine marketing, paid social ads and social media posts.

Pre-requisites of the Course

  • A Bachelor’s degree in Marketing, Business, or related fields
  • Basic computer skills, internet familiarity, understanding of Marketing concepts
  • Proficiency in English
  • Prior experience in Marketing or Advertising is a plus

Curriculum

  • Contact Management
  • Content Marketing
  • Email Marketing
  • Lead Generation
  • Search Engine Optimization
  • Social Media
  • Inbound Marketing
  • Reporting & Performance

React Native is an open-source UI software framework created by Meta Platforms, Inc. It is used to develop applications for Android, Android TV, iOS, macOS, tvOS, Web, Windows and UWP by enabling developers to use the React framework along with native platform capabilities.

Pre-requisites of the Course

  • Strong understanding of JavaScript
  • Familiarity with the basics of React
  • Knowledge of basic HTML and CSS

Curriculum

  • Introduction to React Native
  • Working with React Native
  • Environment Setup
  • Exploring Components
  • Building Applications
  • Working of Lists and Navigator
  • Font Styling and Detectors
  • Debugging and Developer Tools

Laravel is a free and open-source PHP web framework, created by Taylor Otwell, and intended for the development of web applications following the model–view–controller architectural pattern and based on Symfony.

Pre-requisites of the Course

  • Working knowledge of HTML, Core PHP, and Advanced PHP
  • Understanding of MVC and how it works
  • Understanding of CRUD
  • Understanding the basics of Laravel

Curriculum

  • Setting Up and Installing Laravel
  • Using Laravel with Sublime Text 2
  • Authenticating your Application
  • Storing and Using Data
  • Using Controllers and Routes for URLs and APIs
  • Displaying your Views
  • Creating and Using Composer Packages
  • Using Ajax and JQuery
  • Using Security and Sessions Effective
  • Testing and Debugging Your App
  • Deploying and Integrating Third-party Services into Your Application

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