Full Stack Developer Course

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Overview Full Stack Developer Training Course in Bangalore

Build End-to-End Web Applications with Our Industry-Focused Full Stack Developer Course

At Fast Learning Technologies, we offer a comprehensive Full Stack Developer Training Course designed for aspiring developers who want to master both front-end and back-end development. Whether you’re a beginner or someone looking to upskill, our course equips you with the latest tools and technologies to become job-ready in today’s competitive tech world.

Course Highlights

  • Front-End Technologies: HTML5, CSS3, JavaScript, Bootstrap, React.js / Angular

  • Back-End Technologies: Node.js / Java / Python, Express.js / Spring Boot / Django

  • Databases: MySQL, MongoDB, PostgreSQL

  • Project Work: Real-time Capstone Projects & Portfolio Building

  • Placement Assistance: Resume Prep, Mock Interviews, Interview Scheduling

 

Objective of the Full Stack Developer Training Course in Nagavara

The primary objective of the Full Stack Developer Training Course at Fast Learning Technologies, Nagavara, is to equip learners with complete end-to-end web development skills, enabling them to design, develop, and deploy dynamic, scalable, and responsive web applications.

Key Goals:

  • Master both Front-End and Back-End Technologies
    Learn to build visually appealing user interfaces and connect them with powerful server-side logic.

  • Develop Real-World Projects
    Gain practical experience by working on live projects that reflect current industry standards.

  • Build Job-Ready Skills
    Prepare for roles like Full Stack Developer, Web Developer, or Software Engineer with in-demand tools and frameworks.

  • Ensure Career Readiness
    Benefit from resume building, mock interviews, and placement assistance to confidently enter the job market.

  • Foster Independent Problem-Solving
    Learn debugging, testing, and deployment practices to work independently on complex projects.

Why Choose Fast Learning Technologies?

Expert Trainers

Learn from industry-certified professionals with hands-on experience who bring real-world knowledge to every class.

Live Projects

Every course includes live project work based on real-world scenarios, giving you hands-on experience with tools and technologies used in the industry.

Placement Support​

We provide dedicated placement support, helping you connect with top companies and secure job opportunities after completion.

Certifications

Get a professional certificate upon course completion to boost your resume and job prospects.

Affordable Fees

We offer competitive pricing without compromising on quality, making top-tier education accessible to everyone.

Hands-on Training

Our courses emphasize practical, project-based learning, ensuring you gain the skills needed to excel in real-world scenarios.

Prerequisites to Learn the Full Stack Developer Course in Bangalore

At Fast Learning Technologies, Nagavara, our Full Stack Developer Training Course is designed to be beginner-friendly. However, having the following foundational knowledge can help you get the most out of the program

Recommended Prerequisites:

 

  1. Basic Computer Skills

    • Comfortable using a computer, internet, and basic file handling.

  2. Understanding of Programming Fundamentals (optional but helpful)

    • Basic knowledge of any programming language like C, C++, or Python.

  3. Logical Thinking & Problem Solving

    • Ability to approach problems logically and think analytically.

  4. Familiarity with Web Browsers & Websites

    • Knowing how websites function from a user perspective is beneficial.

No Prior Coding Experience? No Problem!

We start from scratch and guide you through both front-end and back-end development with hands-on support.

Whether you’re a student, graduate, or working professional looking to switch careers, this course is structured to suit all levels.

Syllabus - Full Stack Development

Module 1: Introduction to Full Stack Development
  • What is Full Stack Development?
  • Frontend vs Backend Development
  • Web Development Architecture
  • Career Scope & Opportunities.
Module 2: Frontend Development

Syllabus for Front End 

HTML5 

Introduction   

  •   What Is HTML 
  •   Why and Where to use HTML 
  •   Examples 

Basic Tags, Styles and Attributes   

  •   Headings 
  •   Elements 
  •   Paragraph H
  •   Fonts 
  •   Formatting 
  •   Tables 
  •   Lists 
  •   Classes 
  •   ID 
  •   File Paths 
  •   Head 
  •   Layout 
  •   Links and URL encoder 
  •   Images 
  •   Doctypes 

Form, HTML JavaScript and Validation 

  •   Basic Form and examples 
  •   Form Elements 
  •   Iframes

Input Types and attributes

  • JavaScript
  • Validate Form fields
  • Responsive

HTML5

  • Introduction
  • What is the difference between HTML4 and HTML5
  • Advantages and Browser Support
  • HTML5 DOCTYPE
  • Page encoding
  • HTML5 Mark-up
  • Developer tools

HTML Graphics and Media

  • Canvas and SVG
  • Audio and video tags
  • Media Tags
  • Object
  • Plug-ins

APIs

  • Geolocation
  • Drag and drop
  • Web storage

CSS3

Introduction

  • What is CSS
  • Types of CSS
  • Advantages of CSS
  • Example

Styling

  • Colors, Backgrounds, Borders and Margins
  • Text, Fonts, Icons
  • Position, overflow and Float
  • Alignment
  • Padding
  • Pseudo class and element
  • Form styling
  • Page Styling
  • Styling Tables, Links and Lists

Effects

  • Gradients
  • Animation
  • 2d and 3d Transforms
  • Flex box
  • Grid

JavaScript

Introduction

  • How Our Code Is Executed: JavaScript Parsers and Engines
  • Variables and Data Types
  • Variable mutation and Type Coercion
  • Boolean Logic

String Built-in Methods

  • CharAt()
  • CharCode(){Unicode}
  • Concat()
  • Repeat()
  • Includes()
  • Match()
  • Replace()
  • Search()

JS Arrays & Operations

  • Shift & Unshift
  • Push
  • Pop
  • Splice
  • Slice
  • Concat
  • Array methods
  • Array sort
  • Array iteration

JS Statements & Error handling

  • If/else Statements
  • Loops and iteration
  • Exception handling(try, catch, finally, throw)

JS Objects & its properties

  • Objects introduction
  • Objects and properties
  • Objects and methods

JS Operators

  • Basic operators introduction
  • Ternary operators

JS Functions

  • Function definition and parameters
  • Function invocation
  • Function call and apply
  • Function closures

Events in Javascript

  • Onclick
  • Onchange
  • Onmouseover
  • Onmouseout
  • Onkeydown
  • Onload
  • Event Listener (one time)
  • Add Event Listener (multiples)

JavaScript ‘this’ keyword & Hoisting

  • Execution Contexts and the Execution Stack
  • Execution Contexts in Detail: Creation and Execution Phases and Hoisting
  • Hoisting in Practice
  • Scoping and the Scope Chain
  • The ‘this’ Keyword
  • The ‘this’ Keyword in Practice

JS HTML DOM

  • Intro
  • Methods
  • Document object
  • Elements

JS Browser BOM

  • Screen
  • Location
  • History
  • Navigator
  • Popup Alert
  • Timing
  • Cookies
  • Events

Json

  • Introduction Json
  • What is Json
  • Json vs XML
  • JSON Example
  • JSON object
  • JSON Array


JS AJAX

  • Ajax introduction
  • Ajax XMLHttp
  • Request & Response
  • Ajax XML file
  • Ajax application and example

REACT JS

Introduction To React & JSX

  • Origins of React
  • js Syntax

React Components

  • Overview of JSX and why you should use it
  • Getting hold of everything you need to start coding
  • React component Properties
  • Setting Properties
  • Component Lifecycle
  • Updating Components
  • Writing your first React.js component
  • Mounting Components

JSX

  • Expressions & Attributes
  • JSX Basics
  • Namespaced Components
  • Rendering HTML
  • Rendering React Components

Flux

  • Views & Controller-Views
  • Flux is not MVC!
  • Data Flow
  • Action, Dispatcher, Store & View
  • Flux Application Architecture
  • Structure

Event Handling In React

  • Key Events
  • Event Pooling
  • js Event Handlers
  • Synthetic Event

Creating A Dynamic UI In React

  • Event Delegation
  • Keeping components stateless
  • React Stateful Components
  • Auto binding

Integration With Other Libraries

  • Gulp & Browserify
  • React with jQuery
  • React & AJAX

React Server Integration & Deployment

  • Httpster
  • Npm
Module 3: Backend Development

Syllabus for Back End
Python

An Introduction to Python

  • What can Python do?
  • Why Python?
  • Good to know
  • Python Syntax compared to other programming languages
  • Python Install

Beginning Python Basics

  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Operators in python

Python Program Flow

  • Indentation
  • The while loop
  • The for loop
  • The range statement
  • Break &Continue
  • Assert
  • Examples for looping

Functions& Modules

  • Create your own functions
  • Functions Parameters
  • Variable Arguments
  • Scope of a Function
  • Function Documentation
  • Lambda Functions& map
  • n Exercise with functions
  • Create a Module
  • Standard Modules

Exceptions Handling

  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception

File Handling

  • File handling Modes
  • Reading Files
  • Writing& Appending to Files
  • Handling File Exceptions
  • The with statement

Classes In Python

  • New Style Classes
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Exception Classes & Custom Exceptions

Generators and iterators 

  • Iterators
  • Generators
  • The Functions any and all
  • With Statement
  • Data Compression

Data Structures

  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts

Collections

  • namedtuple()
  • deque
  • ChainMap
  • Counter
  • OrderedDict
  • default dict
  • UserDict
  • UserList
  • user string

ADVANCE PYTHON

Writing GUIs in Python (Tkinter)

  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Check buttons

Python SQL Database Access

  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK operation
  • handling Errors

Network Programming

  • Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program

Date and Time

  • sleep
  • Program execution time
  • more methods on date/time
  • Few more topics in-detailed
  • Filter
  • Map
  • Reduce
  • Decorators
  • Frozen set
  • Collections
  • Regular expression
  • Split
  • Working with special characters, date, emails
  • Quantifiers
  • Match and find all
  • character sequence and substitute
Module 4: Database

Syllabus of  Database

Oracle SQL

Introduction to Oracle Database

  • List the features of Oracle Database 11g
  • Discuss the basic design, theoretical, and physical aspects of a relational
    database
  • Categorize the different types of SQL statements
  • Describe the data set used by the course
  • Log on to the database using SQL Developer environment
  • Save queries to files and use script files in SQL Developer

Retrieve Data using the SQL SELECT Statement

  • List the capabilities of SQL SELECT statements
  • Select All Columns
  • Select Specific Columns
  • Generate a report of data from the output of a basic SELECT statement
  • Use Column Heading Defaults
  • Use Arithmetic Operators
  • Understand Operator Precedence
  • Learn the DESCRIBE command to display the table structure

Learn to Restrict and Sort Data

  • Write queries that contain a WHERE clause to limit the output retrieved
  • List the comparison operators and logical operators that are used in a WHERE clause
  • Describe the rules of precedence for comparison and logical operators
  • Use character string literals in the WHERE clause
  • Write queries that contain an ORDER BY clause to sort the output of a SELECT statement
  • Sort output in descending and ascending order

Usage of Single-Row Functions to Customize Output

  • Manipulate strings with character function in the SELECT and WHERE clauses
  • Manipulate numbers with the ROUND, TRUNC, and MOD functions
  • Perform arithmetic with date data
  • Manipulate dates with the DATE functions

Invoke Conversion Functions and Conditional Expressions

  • Describe implicit and explicit data type conversion
  • Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
  • Nest multiple functions
  • Apply the NVL, NULLIF, and COALESCE functions to data

Aggregate Data Using the Group Functions

  • Use conditional IF THEN ELSE logic in a SELECT statement
  • Use the aggregation functions in SELECT statements to produce meaningful reports
  • Divide the data in groups by using the GROUP BY clause
  • Exclude groups of date by using the HAVING clause

Display Data From Multiple Tables Using Joins

  • Write SELECT statements to access data from more than one table
  • View data that generally does not meet a join condition by using outer joins
  • Join a table by using a self join

Use Sub-queries to Solve Queries

  • Describe the types of problem that sub-queries can solve
  • Define sub-queries
  • List the types of sub-queries
  • Write single-row and multiple-row sub-queries

The SET Operators

  • Describe the SET operators
  • Use a SET operator to combine multiple queries into a single query
  • Control the order of rows returned

Data Manipulation Statements

  • Describe each DML statement
  • Insert rows into a table
  • Change rows in a table by the UPDATE statement
  • Delete rows from a table with the DELETE statement
  • Save and discard changes with the COMMIT and ROLLBACK statements
  • Explain read consistency

Use of DDL Statements to Create and Manage Tables

  • Categorize the main database objects
  • Review the table structure
  • List the data types available for columns
  • Create a simple table
  • Decipher how constraints can be created at table creation
  • Describe how schema objects work

Other Schema Objects

  • Create a simple and complex view
  • Retrieve data from views
  • Create, maintain, and use sequences
  • Create and maintain indexes
  • Create private and public synonyms

Control User Access

  • Differentiate system privileges from object privileges
  • Create Users
  • Grant System Privileges
  • Create and Grant Privileges to a Role
  • Change Your Password
  • Grant Object Privileges
  • How to pass on privileges?
  • Revoke Object Privileges

Management of Schema Objects

  • Add, Modify and Drop a Column
  • Add, Drop and Defer a Constraint
  • How to enable and disable a Constraint?
  • Create and Remove Indexes
  • Create a Function-Based Index
  • Perform Flashback Operations
  • Query External Tables

Manage Objects with Data Dictionary Views

  • Explain the data dictionary
  • Use the Dictionary Views
  • Create an External Table by Using ORACLE_LOADER and by Using
  • ORACLE_DATAPUMP
  • USER_OBJECTS and ALL_OBJECTS Views
  • Table and Column Information
  • Query the dictionary views for constraint information
  • Query the dictionary views for view, sequence, index and synonym
  • information
  • Add a comment to a table
  • Query the dictionary views for comment information

Manipulate Large Data Sets

  • Use Subqueries to Manipulate Data
  • Retrieve Data Using a Subquery as Source
  • Insert Using a Subquery as a Target
  • Usage of the WITH CHECK OPTION Keyword on DML Statements
  • List the types of Multitable INSERT Statements
  • Use Multitable INSERT Statements
  • Merge rows in a table
  • Track Changes in Data over a period of time

Data Management in Different Time Zones

  • CURRENT_DATE, CURRENT_TIMESTAMP, and LOCALTIMESTAMP
  • DBTIMEZONE and SESSIONTIMEZONE
  • Difference between DATE and TIMESTAMP
  • INTERVAL Data Types
  • Use EXTRACT, TZ_OFFSET and FROM_TZ
  • Invoke TO_TIMESTAMP,TO_YMINTERVAL and TO_DSINTERVAL

Retrieve Data Using Sub-queries

  • Multiple-Column Subqueries
  • Pairwise and Nonpairwise Comparison
  • Scalar Subquery Expressions
  • Solve problems with Correlated Subqueries
  • Update and Delete Rows Using Correlated Subqueries
  • The EXISTS and NOT EXISTS operators
  • Invoke the WITH clause
  • The Recursive WITH clause

Regular Expression Support

  • Use the Regular Expressions Functions and Conditions in SQL
  • Use Meta Characters with Regular Expressions
  • Perform a Basic Search using the REGEXP_LIKE function
  • Find patterns using the REGEXP_INSTR function
  • Extract Substrings using the REGEXP_SUBSTR function
  • Replace Patterns Using the REGEXP_REPLACE function
  • Usage of Sub-Expressions with Regular Expression Support
Module 5: API Development & Integration
  • REST API vs GraphQL
  • Building APIs with Express & Django
  • API Authentication (JWT, OAuth)
  • API Rate Limiting & Security
  • WebSockets for Real-Time Applications.
Module 6: Version Control & Collaboration
  • Git & GitHub Basics
  • Branching, Merging & Pull Requests
  • Working with Open-Source Projects
  • GitHub Actions for CI/CD
Final Projects
  • Two – Hands-on Industry Projects
  • Resume & LinkedIn Optimization
  • Deploying & Hosting Projects
  • Mock Interviews & Placement Assistance

Want to Book Your Seat?

Batch Timing

Weekdays Batch ( Monday-Friday )

1 – 1.5 hr  :  7 AM to 9 PM ( in-between any Timings )

Weekend Batch ( Sat & Sun )

2 – 3 hr  :  8 AM to 8 PM ( in-between any Timings )

Certification

All major global multinational corporations accept our certification. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees, by earning this certification, which is provided at the conclusion of the course.
You can increase the importance of your profile during interviews and gain access to a wide range of professional opportunities by combining this certificate with your CV.
The certification is only given upon the successful completion of our training and project-based projects with a practical component.

Students Review

Fast Learning Technologies offers the best Data Analytics training in Bangalore. I enrolled in their program to enhance my skills in this field, and I was able to learn everything in depth. I would like to thank the entire team at Fast Learning Technologies for their support. I highly recommend this training to my friends. Thank you.
Surya
My Honest Review. Joined Fast Learning Technologies with Zero Knowledge on SQL but after completing the course i can confidently say that I gained lot of knowledge on SQL. Trainers here are best in the industry. I will never have a second thought to refer any of my friends to this institute. Keep doing good
Saravana Natraj
This is a very good institute with excellent facilities, and I am confident that everyone will find a job after completing their training. The practical classes are beneficial, and the instructor covered all the material with impressive presentation skills. I highly recommend this institute, especially for those not in the IT field.
Lalith Kumar

Frequently Asked Questions

Who are the Trainers?
Fast Learning Technologies instructors are all industry practitioners with at least 9-12 years of relevant IT experience. They are subject matter experts, who have been trained by Fast Learning Technologies to deliver an extraordinary learning experience.
What if I miss one (or) more class?
Not to worry. Fast Learning Technologies ensure that no single lecture topic is missed. With all such options, we will reschedule the classes at your convenience within the course duration. If necessary, you can attend that topic with any other batch.
Is this course available Online or offline?
All courses are available in both Online and offline mode
How much is the fee for course?

It is mentioned on the course pages. Discount prices are only available for a limited time

How long is the duration of the course?
  • Course duration for Training courses are 30 – 45 Hrs.
  • Course duration for Master courses are 90 – 135 Hrs
For any queries?
For any queries please contact us +91 9663550666
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