OBJECTIVE OF THE COURSE

C is a general-purpose, procedural, imperative computer programming language developed in 1972 by Dennis M. Ritchie at the Bell Telephone Laboratories to develop the UNIX operating system. C is the most widely used computer language. It keeps fluctuating at number one scale of popularity along with Java programming language, which is also equally popular and most widely used among modern software programmers.

This training course is designed for software programmers with a need to understand the C programming language starting from scratch. This course will give you enough understanding on C programming language from where you can take yourself to higher level of expertise.

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF ANY PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 16 hours):
• Overview of C (Facts of about C, why we use C etc.)
• Environment Setup (Online Editors, Offline Editors etc.), Compilation process in C
• Basic Syntax (Token in C, Semicolons, Comments, Identifiers, Keywords, Whitespaces in C)
• Data Types (Integer Types, Floating-type points, The void type)
• Variables (Variable definition, declaration)
• Module 2 (Week 2 - 14 hours):
• Constants Literals (Floating-point Literals, Character Constants, String Literals, Defining Constants – The #define preprocessor, The const Keyword)
• Operators (Arithmetic Operators, Relational Operators, Logical Operators, Bitwise Operators, Assignment Operators, sizeof and ternary)
• Decision Making (if, if…else, if…else if, Nested if, switch, The ?: Operator)
• Loops (while, for, do-while, nested loop, break, continue, goto, the infinite loop)
• Module 3 (Week 3 – 16 hours):
• Functions (Defining, Declaration, Calling, Function Arguments, Call by Value and Reference)
• Scope Rules (Local, Global, Formal Parameters, Initializing Local and Global Variables)
• Arrays (Declaring, Initializing, Accessing elements of an array), Arrays in detail (Multi-dimension, Two-dimension, Initializing two-dimension, accessing two-dimension, passing arrays to the function, return array from a function)
• Module 4 (Week 4 – 14 hours):
• Pointers (what is pointers, how to use pointers, NULL pointers, Pointers in detail (pointer arithmetic, incrementing pointer, decrementing pointer, array of pointers, pointer to pointer)
• Strings, Structures, Unions, typeof, #define
• File Handling in C
• Recursion
• Command Line Arguments

OBJECTIVE OF THE COURSE

Core Java training is a foundational course that imparts the fundamental knowledge of developing code using Java programming language. Object-oriented programming concepts, basic structure to create syntax, control statements, and arrays are discussed. The aspirants take deep dive and learn about the class designing and advanced class features including static methods, final class, abstract classes and interface. Handling file input/output (I/O), creating graphical user interfaces (GUIs), developing multi-threaded applications.

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF ANY PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 16 hours):
• Introduction of Java: What is Java? , How to Get Java , A First Java Program , Compiling and Interpreting Applications, The JDK Directory Structure
• Data types and Variables: Primitive Datatypes, Declarations, Variable Names, Numeric Literals, Character Literals, String, String Literals, Arrays, on-Primitive Datatypes, the Dot Operator
• Operators and Expressions: Expressions, Assignment Operator, Arithmetic Operators, Relational Operators, Logical Operators, Increment and Decrement Operators, Operate-Assign Operators (+=, etc.), The Conditional Operator, Operator Precedence, Implicit Type Conversions
• Control Flow Statements: Statements, Conditional (if) Statements, Adding an else if, Conditional (switch), While and do-while Loops, for Loops, Enhanced for Loop, The continue Statement, The break Statement
• Module 2 (Week 2 - 14 hours):
• Object-Oriented Programming: Introduction to Object-Oriented Programming, Classes and Objects, Fields and methods, Encapsulation, Access control, Inheritance, Polymorphism.
• Objects and Classes: Defining a Class, Creating an Object, Instance Data and Class Data Methods, Constructors, Access Modifiers, Encapsulation
• Using Java Objects: Printing to the Console, printf Format Strings, String Builder and String Buffer, Methods and Messages, toString, Parameter Passing, Comparing and Identifying Objects, Destroying Objects
• Inheritance in Java: Inheritance, Inheritance in Java, Casting Method Overriding, Polymorphism, super, The Object Class
• Module 3 (Week 3 – 16 hours):
• Packages: The import Statement, Static Imports, Casting, CLASSPATH and Import, Defining Packages, Package Scope
• Exception Handling: Exceptions Overview, Catching Exceptions, The finally Block, Exception methods, Declaring Exceptions, Defining and Throwing exceptions, Errors and Runtime Exceptions
• Input/Output Streams: Overview of Streams, Bytes vs. Characters, Converting Byte Streams to Character Streams, File Object, Binary Input and Output, PrintWriter Class, Reading and Writing Objects
• Introduction to Threads: Non-Threaded Applications, Threaded Applications, Creating Threads, Thread States, Runnable Threads, Coordinating Threads, Interrupting Threads, Runnable Interface, ThreadGroups
• Module 4 (Week 4 – 14 hours):
• Interfaces and Abstract Classes: Separating Interface and Implementation, Defining Interfaces, Implementing and Extending Interfaces, Runnable Threads, Abstract Classes
• Applet class, Applet Basics, Applet Life Cycle, Working with Graphics and Color, paint() method, Provide moving effect in Applet by Thread
• Awt: Controls, Label, Button, CheckBox, CheckBoxGroup, Choice, List, TextArea etc. Layout Manager, FlowLayout, BorderLayout, GridLayout and CardLayout

OBJECTIVE OF THE COURSE

Python was introduced by Guido van Rossum during 1985- 1990. Python is an easy to learn, powerful programming language. Python is a general-purpose interpreted, interactive, object- oriented, and high-level programming language with dynamic semantics. Python is one of those rare languages which can claim to be both simple and powerful. The Python source code is available under the GNU General Public License (GPL).

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF ANY PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 16 hours):
• GETTING STARTED: History & need of Python, Application of Python, Advantages of Python, Disadvantages of Python, Installing Python, Program structure, Interactive Shell, Executable or script files., User Interface or IDE
• PYTHON FUNDAMENTALS : Working with Interactive mode, Working with Script mode, Python Character Set, Python Tokens, Keywords, Identifiers, Literals, Operators, Variables and Assignments, Input and Output in Python
• OPERATORS: Arithmetic Operators, Relational Operators, Logical Operators, Membership Operators, Identity Operators, Bitwise Operators, Assignment Operators, Operators Precedence, Evaluating Expression, Type Casting
• Module 2 (Week 2 - 14 hours):
• PROGRAM CONTROL FLOW: Conditional Statements, The if Statement, The if-else Statement, The if-elif Statement, Nested if Statements, Python Indentation, Looping and Iteration, The For Loop, The While Loop, Loop else Statement, Nested Loops, Break and Continue, The Range Function, Introduction to range(), Types of range() function, Use of range() function
• INTRODUCTION TO FUNCTIONS: Built-In Functions, Introduction to Functions, Using a Functions, Python Function Types, Structure of Python Functions, User Defined Functions, Structure of a Python Program w.r.t. UDF, Types of Functions, Invoking UDF, Flow of Execution, Arguments and Parameters, Default Arguments, Named Arguments, Scope of Variables, Lambda function, Recursion Function, Use of recursion function
• Module 3 (Week 3 – 16 hours):
• STRING MANIPULATION: Introduction to Python String, Accessing Individual Elements, String Operators, String Slices, String Functions and Methods
• LIST MANIPULATION: Introduction to Python List, Creating List, Accessing List, Joining List, Replicating List, List Slicing
• TUPLES: Introduction to Tuple, Creating Tuples, Accessing Tuples, Joining Tuples, Replicating Tuples, Tuple Slicing
• DICTIONARIES: Introduction to Dictionary, Accessing values in dictionaries, Working with dictionaries, Properties
• SET AND FROZENSET: Introduction to Set and Frozenset, Creating Set and Frozenset, Accessing and Joining, Replicating and Slicing
• Module 4 (Week 4 – 14 hours):
• MODULES AND PACKAGES: Built-in Modules, Importing Modules in Python Programs, Working with Random Modules E.g. - builtins, os, time, datetime, calendar, sys, etc., U ser Defined Modules, Structure of Python Modules
• FILE OPERATIONS: Text and Bytes files, Opening a file, Reading and Writing Files, Other File tools Command Line Arguments

OBJECTIVE OF THE COURSE

Python was introduced by Guido van Rossum during 1985- 1990. Python is an easy to learn, powerful programming language. Python is a general-purpose interpreted, interactive, object- oriented, and high-level programming language with dynamic semantics. Python is one of those rare languages which can claim to be both simple and powerful. The Python source code is available under the GNU General Public License (GPL).

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF ANY PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 16 hours):
• GETTING STARTED: History & need of Python, Application of Python, Advantages of Python, Disadvantages of Python, Installing Python, Program structure, Interactive Shell, Executable or script files., User Interface or IDE
• PYTHON FUNDAMENTALS : Working with Interactive mode, Working with Script mode, Python Character Set, Python Tokens, Keywords, Identifiers, Literals, Operators, Variables and Assignments, Input and Output in Python
• OPERATORS: Arithmetic Operators, Relational Operators, Logical Operators, Membership Operators, Identity Operators, Bitwise Operators, Assignment Operators, Operators Precedence, Evaluating Expression, Type Casting
• Module 2 (Week 2 - 14 hours):
• PROGRAM CONTROL FLOW: Conditional Statements, The if Statement, The if-else Statement, The if-elif Statement, Nested if Statements, Python Indentation, Looping and Iteration, The For Loop, The While Loop, Loop else Statement, Nested Loops, Break and Continue, The Range Function, Introduction to range(), Types of range() function, Use of range() function
• INTRODUCTION TO FUNCTIONS: Built-In Functions, Introduction to Functions, Using a Functions, Python Function Types, Structure of Python Functions, User Defined Functions, Structure of a Python Program w.r.t. UDF, Types of Functions, Invoking UDF, Flow of Execution, Arguments and Parameters, Default Arguments, Named Arguments, Scope of Variables, Lambda function, Recursion Function, Use of recursion function
• Module 3 (Week 3 – 16 hours):
• STRING MANIPULATION: Introduction to Python String, Accessing Individual Elements, String Operators, String Slices, String Functions and Methods
• LIST MANIPULATION: Introduction to Python List, Creating List, Accessing List, Joining List, Replicating List, List Slicing
• TUPLES: Introduction to Tuple, Creating Tuples, Accessing Tuples, Joining Tuples, Replicating Tuples, Tuple Slicing
• DICTIONARIES: Introduction to Dictionary, Accessing values in dictionaries, Working with dictionaries, Properties
• SET AND FROZENSET: Introduction to Set and Frozenset, Creating Set and Frozenset, Accessing and Joining, Replicating and Slicing
• Module 4 (Week 4 – 14 hours):
• MODULES AND PACKAGES: Built-in Modules, Importing Modules in Python Programs, Working with Random Modules E.g. - builtins, os, time, datetime, calendar, sys, etc., U ser Defined Modules, Structure of Python Modules
• FILE OPERATIONS: Text and Bytes files, Opening a file, Reading and Writing Files, Other File tools Command Line Arguments

OBJECTIVE OF THE COURSE

Java is platform independent language and Object oriented Programming language. Using advanced Java programming language we can learn how to design dynamic web applications using Java Server Pages and Java Servlet and how to connect to data base drivers. Advanced java course consist JDBC, HTML, Servlet, JSP and JSTL. Using JDBC concept you can learn database concepts in depth and perform all CRUD operations easily. Using HTML you can develop static web pages. Using Servlet and JSP you can develop dynamic web pages.).

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : This course is designed to meet the needs of those who want to be professional Java developers. This will also help the audience to get though the Java Certification called Web Component Developer. Students should be familiar with Java programming techniques and should be comfortable with concepts such as Classes, Objects, Inheritance, Interfaces I/O Streams, Threading and Networking. Certificate like Sun Certified Java Programmer will be an added advantage.

• Module 1 (Week 1 – 16 hours):
• Object Oriented Programming Class Fundamentals , Object & Object reference , Object Life time & Garbage Collection, Creating and Operating Objects , Constructor & initialization code block, Access Control, Modifiers, methods Nested , Inner Class &Anonymous Classes ,Abstract Class & Interfaces Defining Methods, Argument Passing Mechanism , Method Overloading, Recursion, Dealing with Static Members, Finalize() Method, Native Method. Use of “this “ reference, Use of Modifiers with Classes & Methods, Design of Accessors and Mutator Methods Cloning Objects, shallow and deep cloning, Generic Class Types. Extending Classes and Inheritance Use and Benefits of Inheritance in OOP, Types of Inheritance in Java, Inheriting Data members and Methods , Role of Constructors in inheritance , Overriding Super Class Methods ,Use of “super” , Polymorphism in inheritance ,Type Compatibility and Conversion Implementing interfaces. Package, Exception Handling, Array and Thread.
• Module 2 (Week 2 - 14 hours):
• GUI Programming Designing Graphical User Interfaces in Java, Components and Containers, Basics of Components, Using Containers, Layout Managers, AWT Components, Adding a Menu to Window, Extending GUI Features Using Swing Components, , Event- Handling Process, Event Handling Mechanism, The Delegation Model of Event Handling, Event Classes, Event Sources, Event Listeners, Adapter Classes as Helper Classes in Event Handling. Database Programming using JDBC Introduction to JDBC,JDBC Drivers & Architecture, CURD operation Using JDBC, Connecting to non-conventional Databases.
• Java Server Technologies Servlet Web Application Basics, Architecture and challenges of Web Application, Introduction to servlet, Servlet life cycle, Developing and Deploying Servlets, Exploring Deployment , Descriptor (web.xml), Handling Request and Response.
• Module 3 (Week 3 – 16 hours):
• Java Server Pages (JSP) In this module we can able to differentiate the model, view, server logic so that lot's of client side code processing is reduced on server which is not done in servlets concept.
• JSP Architecture, JSP Standard / Implicit Objects, Request, Response, Out, config ,Application, Session, Page, Page Context , exception , JSP Page Implementation Class, JSP Basics & Syntax , JSP Directive Tags , Page Directive, Include Directive. Servlet as an improved CGI, Servlet Fundamentals / API , What is a Web-Container, Servlet Life Cycle / Architecture, HTTP GET and POST Request Methods, Processing Html Forms, What is Name-Value pair .
• Module 4 (Week 4 – 14 hours):
• Spring Boot Introduction, Spring Boot Basics, Why Spring Boot, Spring Boot Features, Main Goal of Spring Boot, Creating Project- Spring Initializer, Spring Boot Hello World Application, Spring Boot Annotations, Spring Boot Devtool Dependency- Without Restart application will see changes on browser.

OBJECTIVE OF THE COURSE

To have better understanding the concepts of Data Analytics, Data Mining and Data Visualization. This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. It will aid students to design and develop various machine learning based professional projects covering different aspects of technical, social, environmental and financial aspects of several application domains.

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF PYTHON PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 16 hours):
• Introduction to Machine Learning Technology and its Applications
• Introduction to Python Basics for Machine Learning based Applications
• Creating a Machine Learning Model
• Data Analytics and Data Exploration
• Data Visualization
• Data Preprocessing
• Designing Regression based Machine Learning Models
• Analyzing Regression based Machine Learning Models
• Module 2 (Week 2 - 14 hours):
• Designing Classification based Machine Learning Models
• Analyzing Classification based Machine Learning Models
• Designing Clustering based Machine Learning Models
• Analyzing Clustering based Machine Learning Models
• Exploring Clustering based Machine Learning Models
• Implementing Dimensionality Reduction
• Analyzing several Dimensional Reduction techniques
• Module 3 (Week 3 – 16 hours):
• Introduction to Natural Language Processing (NLP)
• Introduction to Beautiful Soup
• Implementing Text Representation techniques
• Introduction to Sentiment Mining
• Developing Classification based Sentiment Mining Models
• Analyzing Classification based Sentiment Mining Models
• Introduction to Web Scrapping using Beautiful Soup
• Analyzing Web Scrapping Models
• Module 4 (Week 4 – 14 hours):
• Introduction to OpenCV for Image processing-based Applications in Python
• Implementing OpenCV for Classification based models
• Introduction to TensorFlow in Python
• Implementing TensorFlow on various Application Domains
• Projects

OBJECTIVE OF THE COURSE

Laravel is a powerful MVC PHP framework, designed for developers who need a simple and elegant toolkit to create full-featured web applications. Laravel was created by Taylor Otwell. This course will guide the students who want to learn how to develop a website using Laravel. This course is particularly meant for all those developers who have no prior experience of using Laravel.

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF ANY PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 16 hours):
• Introductory Session and Basics of Web Application Development, Basics of HTML, CSS and JavaScript, Introduction to PHP, embedding of PHP into HTML Program, Introduction to SQL, working with MySQL
• Module 2 (Week 2 - 14 hours):
• Object Oriented Programing Concepts with PHP, Introduction and installation of Laravel framework, Application Structure of Laravel: root directory, app directory, Configuration of Laravel: basic configuration, environmental configuration, database configuration, naming the application, Routing: basic routing, routing parameters
• Module 3 (Week 3 – 16 hours):
• Middleware: define middleware, register middleware, middleware parameters, Controllers: basic controllers, controller middleware, constructor injection, method injection. Request: retrieving the request URL, retrieving input. Cookie: creating cookie, retrieving cookie
• Module 4 (Week 4 – 14 hours):
• Response: basic response, attaching headers, attaching cookies, JSON response. Views: understanding views, passing data to views, sharing data to all views, Redirections: redirecting to named routes, redirecting to controller actions, Working with database: connecting to database, insert records, retrieve records, update record, delete record, Forms, Sessions, Validations.

OBJECTIVE OF THE COURSE

Introduction to Python and Django training course starts by teaching students the basics of Python, then moves on to teach students how to develop Web applications using the Django framework. This class covers the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing.

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF ANY PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 16 hours):
• Introduction About Django Django Components
• Installing & Configuring Django Components Django Pre-Requisites Downloading & Installing Django Choosing a Database Creating a New Project
• Generating Simple Django Views About View Functions Using Django's HttpResponse Class Understanding HttpRequest Objects Using QueryDict Objects
• Module 2 (Week 2 - 14 hours):
• Configuring URLconf's About URLconf Regular Expressions Expression Examples Simple URLConf Examples Using Multiple URLConf's Passing URL Arguments
• Django Templates About Templates Template Fundamentals Creating Template Objects Loading Template Files Filling in Template Content (Context Objects) Template Filters Template Tags More on For Loops Template Inheritance Easy Rendering of Templates RequestContext Processors Global Context Processors
• HTML Forms with Forms (formerly newforms) The Forms Module Creating the Form Generating Output From the Form Customizing Field Parameters Processing Form Data
• Module 3 (Week 3 – 16 hours):
• o Database Models with Django About Database Models Configuring Django for Database Access Understanding Django Apps About Django Models Defining Django Models Understanding Model Fields & Options Table Naming Conventions Creating A Django Model Adding the App to Your Project Validating the App Generating & Reviewing the SQL Adding Data to the Model Primary Keys and the Model Simple Data Retrieval Using a Model Understanding QuerySets Applying Filters Specifying Field Lookups Lookup Types Slicing QuerySets Specifying Ordering in QuerySets Common QuerySet Methods Deleting Records Managing Related Records Retrieving Related Records
• o Django ORM ORM Configuration: Mapper Configuration Relationship Configuration Inheritance Mapping Advanced Collection Configuration Configuration Extensions: Declarative Extension Association Proxy Hybrid Attrbutes Mutable Scalars Ordered List ORM Usage: Session Usage and Guidelines Query API reference Relationship Loading Techniques Using Q Objects Creating Forms from Models
• o Using the Django Admin Interface Enabling the Admin Interface Creating an Admin User
• Module 4 (Week 4 – 14 hours):
• Access Control with Sessions and Users Cookies & Django The Django Session Framework Sessions in Views Session Tuning Installing Django User Authentication Using Authentication in Views Login and Logout Building your Own Login/Logout Views Authentication Decorators Adding & Deactivating Users Asynchronous Messaging Managing Permissions
• Generic Views Simple Generic Views Using Generic Redirects Other Generic Views Create/Update/Delete Generic views
• Creating Syndication Feeds About Syndication, AJAX Integration with Django AJAX with Django
• Data Caching for Performance Data Caching Setting up Per-View Caching Site Caching, Preventing Cross Site Request Forgery Cross Site Request Forgery
• Django's Email Functionality Configuring Mail Settings Sending Email Other Email Functions

OBJECTIVE OF THE COURSE

The course will commence with the basics of competitive coding. These are the most important topics of the course and which will become a base for the upcoming topics.

DURATION OF THE COURSE : 60 HOURS (4 WEEKS).

MINIMUM ELIGIBILITY CRITERIA AND PRE-REQUISITE : BASIC KNOWLEDEGE OF ANY PROGRAMMING LANGUAGE

• Module 1 (Week 1 – 12 hours):
• Basics Of Competitive Coding
• Time Complexity
• Space Complexity
• Concept of Recursion
• Types of Recursion
• Recurrence Based Relation Problems
• Choice Diagram based problems
• Live questions on above topics
• Module 2 (Week 2 - 12 hours):
• Introduction of Backtracking
• Recursion vs backtracking
• Grid Based Backtracking Problems
• Live Questions on Backtracking
• Introduction of Divide and Conquer
• Problems on D&C
• Module 3 (Week 3 – 12 hours):
• Introduction of Dynamic Programming
• 1D Array based DP Problems
• Knapsack Pattern Based Problems
• LCS Pattern Based Problems
• DP on Grid
• MCM Based DP Problems
• Live Questions on above topics
• Module 4 (Week 4 – 12 hours):
• Introduction of Sliding Window
• Fixed Size based Sliding Window
• Live questions on the Fixed Size based Sliding Window
• Variable Size based Sliding Window
• Live questions on the Variable Size based Sliding Window
• Introduction of Binary Search Based Problems
• Live questions on the Binary Search Based Problems
• Module 5 (Week 5 – 12 hours):
• Introduction of Greedy Algorithm
• Live questions on the Greedy Algorithms
• Introduction of Tree Data Structure
• Live questions on the Tree Data Structure
• DP on Tree
• Introduction of Graph Data Structure
• Live questions on the Graph Data Structure