Full Stack Developer Course
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Full Stack Developer Master Course
Duration: 5 - 6 Months
Mode: Online/Offline
Certification: Industry Recognized
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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:
Basic Computer Skills
Comfortable using a computer, internet, and basic file handling.
Understanding of Programming Fundamentals (optional but helpful)
Basic knowledge of any programming language like C, C++, or Python.
Logical Thinking & Problem Solving
Ability to approach problems logically and think analytically.
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
- What is Full Stack Development?
- Frontend vs Backend Development
- Web Development Architecture
- Career Scope & Opportunities.
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
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
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
- REST API vs GraphQL
- Building APIs with Express & Django
- API Authentication (JWT, OAuth)
- API Rate Limiting & Security
- WebSockets for Real-Time Applications.
- Git & GitHub Basics
- Branching, Merging & Pull Requests
- Working with Open-Source Projects
- GitHub Actions for CI/CD
- Two – Hands-on Industry Projects
- Resume & LinkedIn Optimization
- Deploying & Hosting Projects
- Mock Interviews & Placement Assistance

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It is mentioned on the course pages. Discount prices are only available for a limited time
- Course duration for Training courses are 30 – 45 Hrs.
- Course duration for Master courses are 90 – 135 Hrs