Python Fullstack With DSA+GEN AI

Programming & Development Basics: Programming intro, SDLC overview, and workflow basics.

VS Code Setup & Interface: Installation, extensions, themes, explorer, and terminal configuration.

Project & File Management: Folder structure, file creation, and professional workspace setup.

Command Line & Git Fundamentals: Terminal commands, navigation, Git basics, and workflow.

Git Commands & GitHub: Init, add, commit, push, pull, clone, branching, and merging.

First Project Execution: Run code, environment setup, and basic testing.

HTML Basics: Inline elements, Block elements, Element attributes

HTML Forms:HTML forms and form elements, Types of inputs, Buttons

HTML Media & Links: Anchor tags, Images, Video

HTML Meta & Utility Tags: Meta tags, Miscellaneous tags (code, table, span, etc.)

CSS Fundamentals: Cascading, CSS selectors

CSS Selectors: Element selectors, Pseudo selectors, Attribute selectors

CSS Colors & Backgrounds: CSS colors, Color picker, Gradients, Background properties

CSS Box Model: Box model, Padding, Margin, Border

CSS Layout & Alignment: CSS alignment, Flexbox, Grid, Positioning

Advanced CSS: CSS transformations, iFrames, Animations, Webkit & keyframes.

Bootstrap (Responsive UI Development)

Bootstrap Basics: Bootstrap introduction, paragraphs, alignments

Typography & Content: Quotes, Lists, Code blocks, Keyboard elements

Contextual Styling: Contextual classes, Labels

Buttons & Forms: Buttons, Links, Submit buttons, Forms

Data Display: Tables, List groups, List group items

Navigation Components: Pagination

UI Feedback Components: Alerts, Panels, Wells, Progress bar

Grid System: Bootstrap grid system and responsive layouts

JavaScript Programming

JavaScript Fundamentals (ES6): Variables, data types, operators, control flow

Functions & OOP: JavaScript functions, Arrow functions, Classes, OOP concepts

DOM Manipulation: DOM access, DOM manipulation

Events: DOM events and event handling

Higher Order Functions: forEach, map, filter, reduce

JavaScript Best Practices: Tips and tricks for clean and efficient JS code

AJAX & API Integration

Client–Server Architecture: Introduction to client-server model

Data Formats: XML and JSON APIs

Fundamentals: Introduction to APIs

API Testing: Testing APIs using Postman

Asynchronous Communication: Async programming concepts

Frontend API Integration: Consuming APIs in frontend applications

React.js Development

React Basics: Creating React app, Folder structure

Components: Understanding components, Functional components, Class components

JSX & Events: JSX syntax, Event handling

Props & State: Working with props, State management

Forms & Inputs: Handling user inputs, Adding forms

Lifecycle & Hooks: Component lifecycle, React Hooks (useState, useEffect)

HTTP Communication: Making HTTP requests using Axios

Routing: Routing in React

Context & State Management: React Context API

Advanced State Management: Redux, Redux middleware (Thunk, Logger)

Third-party Integrations: Using third-party APIs

Front End Development Project

Frontend Capstone Project: End-to-end frontend application using HTML, CSS, JavaScript, React

API Integration Project: Integrating third-party APIs

State Management Implementation: Redux-based state management

Deployment Readiness: Project structure, optimization, best practices

Python Programming Foundations

Python Environment Setup: Installing Python, Setting up VS Code / PyCharm, Virtual environments

Python Program Structure: Python execution model, scripts vs modules

Control Flow Statements: Conditional statements (if, elif, else)

Data Structures – Basics: Lists, Tuples, Sets, Dictionaries

Loops: for loop, while loop
Functions: Function definition, parameters, return values

OOP Fundamentals: Introduction to Classes and Objects in Python

Python Intermediate Programming

OOP Principles: Inheritance, Polymorphism, Encapsulation, Abstraction

Advanced Data Structures: List comprehensions, Dictionary comprehensions

Iterators & Generators: Iteration protocol, generators

Lambda Functions: Functional programming with lambda

Built-in Functional Tools: map, filter, reduce

Advanced Python Concepts

Exception Handling Basics: Introduction to exceptions

Exception Types: Built-in exceptions

Exception Hierarchy: Exception hierarchy in Python

Errors vs Exceptions: Differences between runtime errors and exceptions

Handling Exceptions: try, except, else, finally blocks

Custom Exceptions: Creating and raising user-defined exceptions

File Handling

File Handling Basics: Introduction to file handling

File Operations: Reading and writing files

File Modes: Read, Write, Append

Context Managers: Using with statement

Practical Use Cases: File-based data processing tasks

Databases (MySQL / PostgreSQL)

Database Fundamentals: Introduction to databases

Relational Databases: RDBMS concepts

Database Creation: Creating databases and tables

CRUD Operations: Insert, Select, Update, Delete

Querying Data: WHERE clause, ORDER BY, GROUP BY

Joins: Inner join, Left join, Right join

Advanced Queries: Subqueries and complex joins

Database Connectivity (Python ORM & DB APIs)

APIs Basics: Introduction to APIs

Python DB Connectivity: Using DB-API (psycopg2 / mysql-connector

ORM Introduction: ORM concepts

SQLAlchemy Basics: Models, sessions, queries

Database Operations: CRUD using ORM

Best Practices: Secure and efficient database interaction

Introduction to the Web

Web Fundamentals: Hypertext Transfer Protocol (HTTP)

Web Applications: What are web applications

Client–Server Architecture: Request–response lifecycle

MVC / MVT Architecture: Introduction to Django’s MVT architecture

MVT Components: Model, View, Template responsibilities

Backend Design Patterns

Design Patterns Overview: Introduction and utility of design patterns

Core Backend Patterns: MVC/MVT, Active Record, IOC

Structural Patterns: Singleton, Facade, Adapter

Django Architecture: How Django implements MVT

Project Structure: Understanding Django project & app structure

Django Fundamentals

Django Introduction: What is Django and why it is used

Django Project Setup: Creating a Django project and apps

Django Settings: Understanding settings.py

URL Routing: URL dispatcher and routing

Views: Function-based and class-based views

Templates: Rendering templates and dynamic dat

Django Framework (Core Backend Development)

Django Application Flow: Request -> URL -> View ->Template

Dependency Injection (Conceptual): Loose coupling in Django

Middleware: Introduction to Django middleware

Forms: Django forms and model forms

REST Basics: Building basic APIs using Django views

Object Relational Mapping (Django ORM)

ORM Fundamentals: Introduction to Django ORM

Model Design: Creating models and fields

QuerySets: Filtering, ordering, aggregations

Relationships: One-to-One, One-to-Many, Many-to-Many

Migrations: Creating and applying migrations

User Authentication & Authorization

Authentication Basics: Django authentication system

User Model: Default user model and customization

Login & Registration: Implementing login and register functionality

Authorization: Permissions and access control

Sessions: Session and cookie management

Project – Blogging Application using Spring Boot

Application Design: Designing UML for the application

Authentication Implementation: Login and registration workflows

Blog Management: Create, update, delete blog posts

Entity Relationships: User and post mapping

Frontend Design: Designing the frontend UI

API Integration: Integrating frontend with backend APIs

Arrays

Array Fundamentals: Introduction to arrays, memory layout

Traversal & Operations: Accessing, inserting, deleting elements

Problem-Solving Patterns: Prefix sum, frequency counting

Optimization Techniques: Time & space complexity analysis

Interview Problems: Subarrays, maximum/minimum problems

Bit Manipulation

Bitwise Basics: AND, OR, XOR, NOT

Bit Operations: Left shift, right shift

Problem Patterns: Checking odd/even, counting set bits

Optimization Use Cases: Space and performance optimization

Interview Problems: Single number, power of two

Searching & Sorting

Linear & Binary Search: Search techniques and applications

Sorting Algorithms: Bubble, Selection, Insertion

Efficient Sorting: Merge sort, Quick sort

Comparison Analysis: Stability, in-place vs extra space

Interview Problems: Search space optimization

Recursion & Backtracking

Recursion Basics: Function calls and call stack

Recursive Patterns: Divide and conquer

Backtracking Concepts: Decision trees

Classic Problems: Subsets, permutations, combinations

Optimization: Avoiding redundant calls

Hashing

Hashing Fundamentals: Hash functions and hash tables

Data Structures: HashMap / Dictionary

Collision Handling: Chaining, probing

Problem-Solving Patterns: Frequency maps, lookup optimization

Interview Problems: Two-sum, anagrams

Stacks

Stack Fundamentals: LIFO principle

Stack Operations: Push, pop, peek

Implementation: Stack using arrays and linked lists

Problem Patterns: Expression evaluation, monotonic stack

Interview Problems: Valid parentheses, next greater element

Queues

Queue Fundamentals: FIFO principle

Queue Variants: Circular queue, deque

Implementation: Queue using arrays and linked lists

Problem Patterns: Sliding window

Interview Problems: Queue-based simulations

Linked Lists

Linked List Basics: Singly and doubly linked lists

Operations: Insert, delete, reverse

Pointer Techniques: Slow & fast pointer

Problem Patterns: Cycle detection

Interview Problems: Merge lists, reverse in groups

Trees

Tree Fundamentals: Tree terminology

Binary Trees: Traversals (Inorder, Preorder, Postorder)

Binary Search Trees: BST properties and operations

Tree Algorithms: Height, diameter, lowest common ancestor

Interview Problems: Path-based problems

Heaps

Heap Fundamentals: Min heap and max heap

Heap Operations: Insert, delete, heapify

Priority Queue: Heap-based priority queues

Problem Patterns: Top-K problems

Interview Problems: Kth largest element

Greedy Programming

Greedy Strategy: Making locally optimal choices

Problem Identification: When greedy works

Classic Problems: Activity selection, interval scheduling

Proof Techniques: Greedy correctness

Interview Problems: Job sequencing

Dynamic Programming

DP Fundamentals: Overlapping subproblems

DP Techniques: Memoization, tabulation

1D DP: Fibonacci, climbing stairs

2D DP: Knapsack, LCS

Optimization: Space optimization techniques

Graphs

Graph Fundamentals: Graph representations

Traversals: BFS, DFS

Directed & Undirected Graphs: Cycles, connectivity

Algorithms: Topological sort

Interview Problems: Shortest path basics

Introduction to Generative AI: AI basics, GenAI overview, real-world use cases

AI Tools in Development: GitHub Copilot in VS Code, AI coding assistants, productivity workflows

Prompt Engineering: Prompt structure, instruction tuning, context design, output control

Code Generation & Optimization: Code creation, refactoring, documentation generation, test case creation

AI-Based Debugging & Problem Solving: Error explanation, bug fixing, performance suggestions, logic improvement

Responsible & Practical AI Usage: Limitations, accuracy checking, ethical use, project integration

Quantitative Aptitude Basics:

• Number system
• Percentages
• Ratio & proportion
• Averages

Arithmetic Problem Solving:

• Profit & loss
• Time & work
• Time–speed–distance
• Simple & compound interest

Logical Reasoning:

• Series
• Patterns
• Coding–decoding
• Blood relations
• Directions

Analytical Thinking:

• Puzzles
• Seating arrangements
• Syllogisms
• Data sufficiency

Data Interpretation:

• Tables
• Bar graphs
• Pie charts
• Caselets

Placement Test Strategies:

• Shortcuts
• Time management
• Accuracy improvement
• Mock tests

Self-Awareness & Personal Branding:
Understand your strengths, career goals, and professional mindset while building a
strong foundation for professional growth.

Self-Introduction Mastery:
Develop impactful elevator pitches, structured introductions, & confident personal
storytelling.

Communication & Professional Etiquette:
Improve verbal and non-verbal communication, avoid miscommunication, and
practice proper email and telephonic etiquette.

Public Speaking, Presentation & JAM:
Build stage confidence, design engaging presentations, practice JAM sessions, and
connect effectively with audiences.

Group Discussion Excellence:
Learn GD strategies, idea structuring, teamwork skills, and evaluation techniques used
in placements.

Interview Skills & FAQs:
Prepare for technical and HR interviews, handle common questions, and deliver
confident behavioral responses.

LinkedIn Profile & Resume Building:
Create a strong LinkedIn presence, craft ATS-friendly resumes, and position your
profile for recruiter visibility.

Mock Interviews & Time Management:
Experience technical, HR, and telephonic mock interviews, analyse feedback, and
develop strong time-management habits.