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Full Stack Program

A full stack developer builds and maintains both the front-end and back-end of web applications, ensuring seamless user experiences and robust server-side functionality.

Full Stack Developer Job Oriented and Certification Training Program

Become a Full Stack Developer in just 60 Days by mastering front-end and back-end development tools and technologies through real-world case studies and hands-on projects!

Pathway to Becoming a Full Stack Developer:

  • Foundational Knowledge
    Master HTML, CSS, and JavaScript, along with core programming in Python or JavaScript (Node.js). Strengthen your understanding of data structures, algorithms, and version control with Git/GitHub.
  • Cloud Familiarity
    Choose a primary cloud platform (AWS, Azure, or GCP) and gain hands-on experience deploying full stack applications, configuring storage, databases, and serverless functions.
  • Full Stack Tools & Frameworks
    Learn modern frontend frameworks like React, Angular, or Vue.js, and backend technologies like Node.js with Express or Django. Explore databases such as MongoDB, PostgreSQL, and MySQL. Understand REST APIs, GraphQL, and WebSockets.
  • Projects & Certifications
    Build real-world applications—e.g., eCommerce platforms, authentication systems, real-time chat apps, and dashboards. Consider certifications like AWS Certified Developer, Microsoft AZ-204, or Google Associate Cloud Engineer.
  • Security, DevOps & Monitoring
    Learn web security best practices, implement JWT/OAuth2 authentication, and manage CI/CD pipelines with tools like Docker, GitHub Actions, Jenkins, and Kubernetes. Set up application logging and monitoring with tools like Prometheus, Grafana, and CloudWatch.
  • Continuous Learning
    Stay updated with trends in microservices, headless CMS, AI/ML API integration, serverless architecture, and Jamstack development. Explore emerging technologies like WebAssembly, Edge computing, and Progressive Web Apps (PWAs).

Career Outlook & Growth Potential

  • Job Demand:The demand for Full Stack Developers is rapidly increasing across sectors like e-commerce, healthcare, finance, and SaaS, driven by the need for end-to-end web and mobile application development, cloud-native solutions, and rapid digital transformation.
  • Compensation:Full Stack Developers are among the top earners in tech, often commanding six-figure salaries (USD) depending on experience, region, and tech stack expertise—especially those proficient in cloud deployments, DevOps, and modern frameworks.
  • Future Trends:

    To stay competitive, full stack professionals are expected to adapt to emerging trends such as:

    • Serverless architecture for scalable and cost-efficient apps

    • Microservices and orchestration tools like Kubernetes and Docker

    • AI/ML integration via APIs and SDKs

    • Edge computing and Progressive Web Apps (PWAs) for enhanced performance and offline capabilities

    • Low-code/No-code collaboration and real-time development tools like Liveblocks and WebSockets

Essential Skills & Tools:

These are the core skills and technologies covered in the Full Stack Developer course to ensure you’re equipped for real-world, production-grade web and app development.

DOMAIN

Skills & Technologies

Languages

HTML, CSS, JavaScript (core web languages)
TypeScript (strongly-typed JavaScript for scalable apps)
Python or Node.js for backend development
Optional:Java or Go for high-performance backend services

Cloud Platforms 

AWS, Azure, GCP – focused on app hosting, serverless functions (e.g., Lambda, Azure Functions), managed databases, CI/CD pipelines
Cloud-native services like Firebase, Vercel, Netlify, or Render

Frontend Frameworks

React, Angular, or Vue.js for building dynamic, responsive UIs
Next.js or Nuxt.js for server-side rendering (SSR) and SEO optimization

Backend & APIs

Express.js, Django, or FastAPI to build scalable RESTful APIs and microservices
GraphQL, gRPC, and WebSockets for modern communication patterns

Databases & Storage

Relational : PostgreSQL, MySQL
NoSQL: MongoDB, Redis, Firebase
File/Blob Storage: AWS S3, Google Cloud Storage

DevOps & Orchestration

CI/CD Tools: GitHub Actions, Jenkins, GitLab CI
Containers & Orchestration: Docker, Kubernetes
Infrastructure as Code (IaC): Terraform, Pulumi

Security & Compliance

Authentication & Authorization: OAuth2, JWT, Passport.js
Security Best Practices: HTTPS, CORS, CSRF protection
Role-based Access Control (RBAC), IAM, and secure secrets management (e.g., Vault)

System Design & Architecture

API design, caching strategies, database normalization, scalability principles
Monolith vs. microservices, serverless vs. containerized deployments

Soft Skills

Problem-solving and debugging,System design thinking,Effective team collaboration (Agile/Scrum) , Strong communication and adaptability in dynamic tech environments

Training Pattern Details

Get trained through an industry-aligned Full Stack Developer curriculum, covering essential frontend and backend technologies, cloud deployment, DevOps, and modern application architecture used by top tech companies.

  • Recorded Sessions & Notes:
    Receive class recordings and detailed session notes after every class, so you can review anytime and never miss a concept—perfect for self-paced revision.

  • Hands-on Exercises & Projects:
    Work on real-world coding exercises and full-scale application projects both during sessions and as homework. Build the confidence to develop and deploy complete applications independently.
  • Comprehensive Study Materials:
    Get access to topic-wise notes, e-books, reference guides, and documentation—available in both soft copy and hard copy formats for deep technical understanding and interview preparation.
  • Career Preparation & Support:
    Prepare for job roles with mock interviews, resume workshops, and expert mentorship focused on launching your career as a Full Stack Developer—from junior to senior roles.
  • End-to-End Project Exposure:
    Gain hands-on experience in building production-ready applications, covering everything from UI/UX design and API integration to deployment, CI/CD, cloud hosting, and ongoing maintenance.

Who Should Enroll?

Eligibility/Qualification

  1. Aspiring IT Professionals:

    Whether you have a background in B.E, B.Tech, MCA, MBA, M.Sc, MS, ME, M.Tech, BCA, BSc, BCom, or BA, this program opens the door to a high-demand career in Full Stack Web Development, regardless of your prior specialization.

  2. Current IT Experts:
    Are you a Developer, QA Tester, UI/UX Designer, Support Engineer, or DevOps professional? This course helps you expand your capabilities by mastering end-to-end application development, modern frameworks, and cloud deployment.

  3. Students & Freshers:

    Recent graduates or postgraduates from any discipline are welcome. Whether you’re technical or non-technical, our structured learning path helps you transition into the exciting and fast-growing world of full stack development with confidence.

Become a professional developer with our Full Stack Program. Sign up today and take the first step towards mastering Full Stack.

Core Technologies for Modern Software Development

  • Java : 
    Java is a high-level, object-oriented, and platform-independent programming language developed by Sun Microsystems (now owned by Oracle). It follows the principle of “Write Once, Run Anywhere” because Java programs run on the Java Virtual Machine (JVM), making them portable across operating systems. It is widely used for web applications, mobile apps (especially Android), enterprise systems, and backend development.
  • Python :
    Python is a high-level, interpreted, and general-purpose programming language known for its simplicity and readability. Created by Guido van Rossum, it supports multiple programming paradigms such as object-oriented, functional, and procedural programming. Python is popular in web development, data science, artificial intelligence, machine learning, automation, and scientific computing.
  • .NET :
    .NET (pronounced “dot net”) is a software development framework created by Microsoft that allows developers to build and run applications for Windows, web, cloud, mobile, and IoT. It supports multiple programming languages (like C#, VB.NET, and F#) and provides a runtime environment (CLR – Common Language Runtime) along with a vast class library. Today, .NET Core (open-source, cross-platform) and .NET 6/7/8 are used to create scalable and modern applications.

Full Stack Developer Training Course Outline

Pre Requisite

  • Operating System : Windows & Unix Basics
  • Database : DBMS Concepts, SQL
  • Software Engineering : Basic Concepts

Full Stack (Python)

Module - 01: Core Python
Chapter 01: Introduction to Python
  • What is Python? (Overview, simplicity, versatility)
  • History of Python (Timeline, creator, evolution)
  • Features of Python (Interpreted, dynamic typing, portability)
  • Python Versions (Python 2 vs Python 3)
  • Applications of Python (Web, AI, Data Science, Automation)
Chapter 02: Python Installation & Setup
  • Downloading Python (From official portal)
  • Installing Python (Windows, Mac, Linux)
  • Setting Python Path
  • Working in Interactive Mode (REPL)
  • Executing in Script Mode (.py files)
  • Choosing an Editor (IDLE, VS Code, PyCharm)
Chapter 03: Python Fundamentals
  • Syntax and Execution (How Python runs code)
  • Indentation (Importance in Python)
  • Comments
    • Single-line comments (#)
    • Multi-line comments (”’ ”’ or “”” “””)
  • Keywords (Reserved words)
  • Identifiers (Naming rules)
  • Literals / Constants (Numeric, String, Boolean)
Chapter 04: Variables
  • Declaring and Assigning Variables
  • Multiple Assignment
  • Data Types Overview
  • Type Casting
  • Dynamic Typing
Chapter 05: Operators
  • Arithmetic Operators (+, -, *, /, %, **, //)
  • Relational Operators (>, <, ==, !=, >=, <=)
  • Logical Operators (and, or, not)
  • Assignment Operators (=, +=, -=, etc.)
  • Membership Operators (in, not in)
  • Identity Operators (is, is not)
  • Bitwise Operators (&, |, ^, ~, <<, >>)
  • Operator Precedence
Chapter 06: Input & Output
  • Input Function
  • Output Function (print)
  • Formatted Output (f-strings, format method)
Chapter 07: Conditional Statements
  • if Statement
  • if-else Statement
  • if-elif-else Ladder
  • Nested if Statements
Chapter 08: Loops in Python
  • while Loop
  • for Loop
  • Nested Loops
  • Loop Control Statements
    • break
    • continue
    • pass
  • else with Loops
Chapter 09: Functions
  • Defining Functions (def keyword)
  • Calling Functions
  • Function Arguments
    • Positional Arguments
    • Keyword Arguments
    • Default Arguments
    • Variable-length Arguments (*args, **kwargs)
  • Return Statement
  • Scope of Variables (Local, Global)
  • Lambda Functions
Module - 02: Advanced Python
Chapter 01: Object Oriented Programming System (OOPS)
  • Classes and Objects
  • Attributes and Methods
  • Constructors (__init__)
  • Method Overloading (via default args)
  • Method Overriding (Inheritance)
  • Four Pillars of OOPS
    • Inheritance
    • Polymorphism
    • Encapsulation
    • Abstraction
Chapter 02: Scope
  • Local Scope
  • Global Scope
  • Global and Local Keywords
Chapter 03: Modules and Packages
  • Importing Modules
  • Built-in Modules
  • Creating Custom Modules
  • Using pip to Install Packages
  • Creating and Importing Packages
  • Sub Packages
Chapter 04: Exception Handling
  • What is an Exception?
  • Try-Except Block
  • Multiple Excepts
  • Finally Clause
  • Raising Exceptions
  • Custom Exception Classes
  • Standard Exceptions
Chapter 05: File Handling
  • Reading Files (open(), read())
  • Writing Files (write(), append())
  • Creating and Deleting Files
  • File Modes (r, w, a, x)
  • File Attributes (name, mode, closed)
  • Working with Directories (os Module)
  • Renaming Files
Chapter 06: Decorators
  • Function Decorators
  • Chaining Decorators
  • Use Cases
Chapter 07: Generators
  • yield Keyword
  • Generator Functions
  • Generator Expressions
Chapter 08: Recursion
  • Recursive Functions
  • Base Case and Recursive Case
  • Use Cases
Chapter 09: Regular Expressions
  • What is Regex?
  • match(), search(), findall()
  • Compile Patterns
  • Search and Replace
  • Wildcards and Character Classes
Chapter 10: Date and Time
  • datetime Module
  • Retrieving Current Time
  • Formatting Time
  • Time Arithmetic
  • Calendar Module
Chapter 11: Popular Python Libraries
  • math
  • json
  • datetime
  • os
  • sys
  • re
  • random
  • time
Chapter 12: Database Interaction with Python
  • Creating a Database with SQLite 3
  • Connecting and Disconnecting DB
  • CRUD Operations
  • Creating Database Object
  • Python MySQL Database Access
  • DML and DDL Operations
  • Performing Transactions
  • Handling Database Errors
Chapter 13: Python Testing
  • Introduction to Testing
  • Unit Testing with pytest
  • Integration Testing
  • Test Coverage
  • Measuring coverage with coverage.py
  • Identifying untested code paths
Module - 03: Data Engineer Python
Chapter 01: Pandas
  • Getting Started
    • About Pandas
    • Installing Pandas (pip install pandas)
    • Importing Pandas (import pandas as pd)
    • Series vs Data Frame
  • Creating Data Structures
    • Series from Lists, Dictionaries, NumPy Arrays
    • Data Frame from Dictionaries, Lists of lists, CSV/Excel, NumPy arrays
  • Exploring Data
    • head(), tail(), info(), describe()
    • shape, columns, index, dtypes
    • Accessing rows and columns: df[‘column’], df.column, df.loc[], df.iloc[]
  • Data Selection & Filtering
    • Boolean indexing
    • Conditional filtering
    • isin(), between()
    • Combining conditions with &, |
  • Sorting & Ranking
    • sort_values()
    • sort_index()
    • rank()
  • Handling Missing Data
    • isnull(), notnull()
    • dropna(), fillna()
    • ffill, bfill
  • Data Type Conversion
    • astype()
    • Converting strings to datetime
  • Renaming & Replacing
    • rename()
    • replace()
  • Duplicates
    • duplicated()
    • drop_duplicates()
  • Aggregation & Grouping
    • groupby()
    • Aggregation functions: sum(), mean(), count(), agg()
    • Multi-level grouping
  • Merging & Joining
    • merge() (inner, outer, left, right)
    • join()
    • concat() row-wise/column-wise
    • append() (deprecated)
  • Reshaping Data
    • pivot(), pivot_table()
    • melt()
    • stack(), unstack()
  • Working with Dates
    • pd.to_datetime()
    • Extracting year, month, day
    • Date arithmetic
  • Apply & Map
    • apply() with functions
    • map() for Series
    • applymap() for DataFrame
  • Window Functions
    • rolling()
    • expanding()
    • ewm()
  • String Operations
    • str.lower(), str.upper(), str.strip()
    • str.contains(), str.replace(), str.extract()
  • Categorical Data
    • Converting to category
    • Working with category types
  • Reading Data
    • read_csv(), read_excel(), read_json()
    • Reading from SQL
  • Writing Data
    • to_csv(), to_excel(), to_json()
Chapter 02: NumPy
  • Introduction
    • What is NumPy?
    • Installing NumPy
    • Importing (import numpy as np)
    • Understanding ndarray
  • Creating Arrays
    • np.array() from lists/tuples
    • np.zeros(), np.ones(), np.full()
    • np.arange(), np.linspace()
    • np.eye() identity matrix
  • Array Operations
    • Element-wise (+, -, *, /)
    • Comparison operations
    • Broadcasting basics
    • Vectorized vs loops
  • Mathematical Functions
    • np.sum(), np.mean(), np.std(), np.var()
    • np.min(), np.max(), np.argmin(), np.argmax()
    • np.exp(), np.log(), np.sqrt(), np.power()
  • Indexing, Slicing & Reshaping
    • 1D/2D indexing
    • Slicing arrays
    • Boolean indexing
    • reshape(), ravel(), flatten()
    • transpose()
Chapter 03: Web Scraping
  • Introduction, Use Cases, Legal & Ethical Aspects
  • Tools: Python, Beautiful Soup, Requests
  • Fetching Web Pages (requests)
  • Parsing HTML (BeautifulSoup)
  • Extracting Data: find, find_all, text, attributes
Chapter 04: Matplotlib
  • Introduction
    • What is Matplotlib?
    • Installing & Importing (pyplot)
    • Role of pyplot
  • Basic Plots
    • Line plots (plt.plot())
    • Displaying plots (plt.show())
  • Customization
    • Titles, Labels, Legends
    • Styling (lines, colors, markers)
    • Grid lines
  • Multiple Plots
    • Multiple lines
    • Subplots (plt.subplot())
  • Chart Types
    • Bar (plt.bar(), plt.barh())
    • Histogram (plt.hist())
    • Scatter (plt.scatter())
    • Pie (plt.pie())
  • Saving Figures
    • plt.savefig()
  • Figure & Axes Control
    • plt.figure(), plt.axes()
    • Object-oriented approach (basic)
Module - 04: Framework - DJango
Chapter 01: Introduction to Django
  • What is Django?
  • Features of Django
  • Django vs Flask
  • MVC vs MVT Architecture
  • Real-world Applications of Django
Chapter 02: Environment Setup
  • Installing Django (pip install django)
  • Creating a Django Project (django-admin startproject)
  • Project Structure Overview
  • Running the Development Server
  • Creating Django Apps (python manage.py startapp)
  • Understanding manage.py
Chapter 03: URL Routing
  • urls.py configuration
  • Including app URLs
  • Path converters
Chapter 04: Views
  • Function-based Views
  • Class-based Views
  • Returning HTTP Responses
  • Rendering Templates
Chapter 05: Templates
  • Template Engine Overview
  • Creating HTML Templates
  • Template Inheritance ({% raw %}{% block %}{% endraw %}, {% raw %}{% extends %}{% endraw %})
  • Template Tags and Filters
  • Static Files (CSS, JS, Images)
Chapter 06: Models
  • Creating Models
  • Field Types
  • Model Methods
  • Database Migrations (makemigrations, migrate)
  • Admin Interface (admin.py)
Chapter 07: Django ORM
  • QuerySets and Managers
  • CRUD Operations
  • Filtering and Ordering
  • Aggregation and Annotation
Chapter 08: Django Forms
  • Creating Forms
  • Form Validation
  • Handling POST and GET
  • ModelForm vs Form
Chapter 09: User Authentication
  • Login and Logout
  • User Registration
  • Password Management
  • Permissions and Groups
  • Custom User Models
Chapter 10: Middleware
  • What is Middleware?
  • Built-in Middleware
  • Custom Middleware
Chapter 11: Sessions and Cookies
  • Setting and Retrieving Sessions
  • Cookie Management
Chapter 12: Django Signals
  • Connecting Signals
  • Pre-save and Post-save Hooks
Chapter 13: File Uploads
  • Handling Media Files
  • MEDIA_ROOT and MEDIA_URL
Chapter 14: REST APIs with Django
  • Installing DRF
  • Serializers
  • API Views
  • Routers and ViewSets
  • Authentication in APIs
  • Building a Simple REST API
Chapter 15: Deployment
  • settings.py for Production
  • Static and Media Files
  • Environment Variables
  • Deploying on Heroku

Full Stack Web Developer ( UI )

Chapter - 01: Hyper Text Mark-up Language (HTML5)
  • Introduction HTML
  • HTML Basics
  • HTML Elements
  • HTML5 Semantic
  • HTML Attributes
  • HTML Headings
  • HTML Paragraph
  • HTML styles
  • HTML Formatting
  • HTML Quotations
  • HTML Computer Code
  • HTML Comments & Colours
  • HTML CSS, Links and Images
  • HTML Lists
  • HTML Blocks
  • HTML Classes
  • HTML Layout
  • HTML Responsive
  • HTML iframes
  • HTML JavaScript
  • HTML Head
Chapter - 02: Cascading Style Sheet (CSS)
  • Introduction CSS3
  • CSS3 syntax
  • CSS3 How To
  • CSS3 Colours
  • CSS3 Backgrounds
  • CSS3 Boarders
  • CSS Padding
  • CSS Height/Width
  • CSS3 Gradients
  • CSS3 Shadows
  • CSS3 Text
  • CSS3 Fonts
  • CSS3 2D Transforms
  • CSS3 3D Transforms
  • CSS Links
  • CSS Lists
  • CSS Tables
  • CSS Box Model
  • CSS Outline
  • CSS Display
  • CSS Max-width
  • CSS Position
  • CSS Float
  • CSS Inline-block
  • CSS Align
  • CSS Combinators
  • CSS Pseudo-class
  • CSS Pseudo-element
  • CSS Navigation Bar
  • CSS Dropdowns
  • CSS Tooltips
  • CSS3 Images
  • CSS Attr Selectors
  • CSS Forms
  • CSS Counters
  • CSS3 Animations
  • CSS3 Buttons
  • CSS3 Pagination
  • CSS3 Multiple Columns
  • CSS3 User Interface
  • CSS3 Box Sizing
  • CSS3 Filters
  • CSS3 Media Queries
  • CSS3 Responsive
Chapter - 03: Bootstrap
  • Introduction to Bootstrap
  • Bootstrap Basics
  • Bootstrap Grids
  • Bootstrap Themes
  • Bootstrap CSS
  • Bootstrap JS
Chapter - 04: Java Script
  • Introduction to JavaScript
  • JavaScript Language Basics
  • JavaScript Objects
  • JavaScript Scope
  • JavaScript Events
  • JavaScript Strings
  • JavaScript Numbers
  • JavaScript Math
  • JavaScript Arrays
  • JavaScript Boolean
  • JavaScript Comparisons
  • JavaScript Conditions
  • JavaScript Switch
  • JavaScript Loops
  • JavaScript Type Conversion
  • JavaScript RegExp
Chapter - 05: jQuery
  • Introduction to jQuery
  • jQuery Syntax
  • jQuery Selectors
  • jQuery Events
  • jQuery Effects
  • jQuery HTML
  • jQuery Traversing
  • jQuery AJAX & Misc
Chapter - 06: TypeScript
  • Introduction to TypeScript, a superset of JavaScript that includes static types to improve code maintainability
  • Understand fundamental TypeScript concepts such as interfaces, classes, and types
  • Leveraging TypeScript’s benefits in large-scale Angular applications
  • Exploring Angular’s powerful two-way data binding mechanism
  • Using ngModel to bind data between components and templates
  • Understanding how two-way binding facilitates data synchronization and UI updates
Chapter - 07: React JS
  • Understanding the fundamental principle of React: creating user interfaces with reusable components
  • Creating, composing, and managing components to build complex UIs
  • Data is passed between components using props
  • Managing component lifecycles
  • Understanding the concept of state in React and how it affects UI updates
  • Using the useState hook for local state management
  • Exploring global state management solutions such as Context API and Redux
  • Managing side effects with useEffect
Chapter - 08: Angular JS
  • Introduction to Angular
  • Angular Application Architecture
  • What is NgModule
  • Angular Components
  • Angular Templates
  • Data Binding
  • Types of Data Binding
  • Modules Component Working
  • Directives
  • Structure Directives
  • Template Routing
  • Theme Implementation in Angular Framework
  • Angular Forms
  • Services
  • Inject Services
  • Angular Server Communication With Backend Server
  • Working of Api’s (GET,POST,PUT,DELETE)
Chapter - 09: Node JS
  • Introduction to NodeJS
  • Architecture of NodeJS Application
  • Synchronous and Asynchronous Programming
  • Call back Function in NodeJS
  • Promises in NodeJS
  • MongoDB with NodeJS
  • Design the Schema in NodeJS
  • Design the Rest API’s
  • GET,POST,PUT,DELETE
  • JSON web Token Authentication in NodeJS
  • Create the Auth APP in NodeJS
Chapter - 10: SQL Databases
  • SQL (Relational) vs NoSQL (Non Relational) Databases
  • Introduction to MySQL
  • Working with MongoDB
  • Designing Database schemas and modelling Data Relationships
  • Basic CRUD operations on Databases using SQL queries and MongoDB Commands
  • Creating, Reading, Updating, and Deleting data in both SQL and NoSQL Databases
  • Implementing Data Validation and Error Handling

Full Stack Web Developer ( Dot Net )

Chapter-01: HTML
  • Intro to html building blocks
  • Tags & Attribute
  • Elements
  • Formatting tag
  • List tag
  • Image tag
  • Link tag
  • Form tag
  • Input tag
  • Meta tag
  • Media tag
  • Table tag
Chapter-02: CSS
  • Common CSS Selectors
  • Values, Colours
  • Keyword Colours
  • Rgb
  • Hsl
  • Absolute Length
  • Relative Length
  • Percentages
  • Em
  • Inline Display
Chapter-03: Bootstrap
  • Bootstrap Paginations
  • Dropdown
  • Navigation bar
  • Carousel
  • Filters and grid
Chapter-04: Java Script
  • Java Script Introduction
  • Arrays
  • Variables
  • Type Casting
  • Operators
  • Loops
  • Conditional Statements
  • Functions
  • Classes & Objects
  • Validation with in JS
Chapter-05: JQuery
  • Introduction to JQuery
  • JQuery Syntax
  • JQuery
  • JQuery Events
  • JQuery Effects
  • JQuery HTML
  • JQuery Traversing
  • JQuery AJAX
Chapter-06: C# .Net
  • C# Introduction
  • Variables
  • Data Types
  • Methods
  • Procedure
  • Functions with Parameters
  • Function Usage
  • Type Casting – Boxing and Unboxing
  • OOPS
  • Classes
  • Objects
  • Properties
  • Data Abstraction
  • If Condition and Loop Statement
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Get and Set – Indexes
  • Thread vs Threading
  • Life Cycle of Thread
  • Multithreading benefits
  • Challenges
  • Delegates
Chapter-07: ASP .NET
  • Validation Controls
  • Data Source
  • Grid View
  • Events
  • Themes
  • Master Page Files
  • State Management
  • Server Side
  • Client Side
  • Caching Techniques
  • Web .Config
  • Authentication
  • Authorization
Chapter-08: ADO .NET
  • NET
  • Introduction
  • Framework Data Providers
  • Database Access
  • SQL Server Connection
Chapter-09: MS SQL Server
  • MS SQL Server Introduction
  • Installation
  • Architecture
  • Login Database
  • Stored Procedure
  • Trigger
  • Subquery
  • Joins

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FAQ'S

What if I miss a class?

You can cover from that Class Recording and ask doubt in Live Session.

What if I miss more classes due to some reason?

We will arrange backup classes for you or you can attend our next batch.

How much is the Course fee?

You can contact our team and we will get back to you with the course fee details.

What are the modes of Training?

We offer Online as well as Offline (Limited) with One-to-One or Batch.

What about live Projects?

We provide Live Projects during the Course in a Real Time Scenarios based practical manner.

Will I get a free demo?

Yes, we can schedule 1-2 free demo class.

Will you provide Class Recordings, Materials,Exercises, etc.?

Yes, we provide All Class Recordings, Materials, Notes, Exercises, etc.

Will I get a Course Completion Certificate?

Yes of course, Our Institute is Govt. registered and we give Course Completion Certificate.

What about the Trainer/Instructor?

Our Trainers/Instructors are having more and Well Experience in respective Course & IT Job Fields.

Why learn from Digital Hub Tech?

We provide in Deep Drive Advance Level Training to get multiple Job Offers with High Packages to settle the Long Career.

OUR COURSES

We Offer Various Courses. Here Are the Courses From Digital Hub Tech.

ETL

  • ETL TESTING
  • ETL DEVELOPMENT : IICS
  • ETL DEVELOPMENT : INFORMATICA POWER CENTER

Unix/Linux

  • UNIX SHELL SCRIPT
  • LINUX ADMIN

DevOps

  • AWS
  • AZURE

Database

  • SQL
  • PL/SQL
  • DBA
  • SEO
  • SMM
  • SEM
  • SMA

Cloud Data Engineer

  • AWS
  • GCP
  • AZURE
  • SNOWFLAKE
  • BIG DATA HADOOP
  • SPARK

Automation Testing

  • API
  • RPA
  • TOSCA
  • SELENIUM
  • PERFOMANCE

Full Stack Program

  • UI
  • JAVA
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