Who are these lessons for: Any gradute/ any professional from any stream can join these sessions. These sessions are designed for all aspiring people seeking opportunity to join IT industry as Full Stack Developer.
No need for previous programming knowledge (if you know programming , you will find the lessons easier), even if you don't know basic programming, the sessions will cover all the fundamentals.

Full Stack Web development (React-Python Flask-MongoDB)

90 Sessions (1 Hour Each)

Module 1: Web Fundamentals (20 Sessions)

Mini Project: Responsive Portfolio Website

1. Web Development Overview: Client–Server, Modern Tools

2. HTML Basics – Structure, Tags, Attributes

3. Semantic HTML, Forms, Accessibility Standards

4. CSS Basics – Selectors, Specificity, Colors, Fonts

5. Box Model – Padding, Borders, Margins

6. Flexbox Layouts – Industry Patterns

7. CSS Grid Layouts – Responsive Web Design

8. Media Queries & Fluid Units (rem/vw)

9. JavaScript Basics – Variables, Data Types, Operators

10. Control Flow – Conditionals & Loops

11. Functions & Scope – Arrow Functions, Hoisting

12. Arrays & Objects – Iteration, map/filter/reduce

13. DOM Selection & Manipulation – Events, Updates

14. Event Handling – Delegation, Form Validation

15. ES Modules – Import/Export, Modern Tooling

16. Async JavaScript – Promises, Fetch API

17. Async/Await & Error Handling

18. Browser APIs – LocalStorage, SessionStorage

19. Mini Project Build – Responsive Portfolio Website

20. Frontend Quality – Clean Code, SEO, Accessibility

Module 2: React.js (12 Sessions)

Mini Project: Task Manager / ToDo App

21. React Basics – Components, JSX, Props

22. State Management – useState, Events

23. Lists, Keys & Conditional Rendering

24. Forms – Controlled & Uncontrolled Inputs

25. Side Effects – useEffect, Data Fetching

26. Routing – React Router v6

27. Context API – Global State Management

28. Advanced Hooks – useReducer, useRef

29. API Integration – Axios, Error Handling

30. Performance – React.memo, Lazy Loading, Suspense

31. Mini Project Build – Task Manager / ToDo App

32. Industry Practices – Folder Structure, Clean Components, Testing

Module 3: Git & Version Control (2 Sessions)

Practice Project: Push React App to GitHub

33. Git Basics – Init, Add, Commit, Branching, Merging

34. GitHub Workflow – Pull Requests, Issues, Protected Branches

Module 4: Python Fundamentals (21 Sessions)

Mini Project: CLI Calculator / Text Analyzer

35. Python Setup – Interpreter, IDE, Virtual Envs

36. Variables & Data Types – Input/Output

37. Operators – Arithmetic, Logical, Comparison

38. Conditionals – if/else, Pattern Matching (match)

39. Loops – for, while, Iterations

40. Functions – Parameters, Return Values, Scope

41. Lists & List Comprehensions

42. Tuples, Sets, Dictionaries – Use Cases

43. Strings – Methods, Formatting, f-Strings

44. File Handling – Open, Read, Write, Context Managers

45. Exceptions – try/except, Custom Errors, Logging

46. Modules & Packages – Import, pip, Virtual Envs

47. OOP – Classes, Objects, Methods

48. Inheritance, Polymorphism, Encapsulation

49. Iterators, Generators, itertools

50. JSON & Serialization – Parse, Dump

51. HTTP with requests Library

52. Unit Testing with pytest – Fixtures, Coverage

53. Type Hints, mypy, Black & Ruff for Clean Code

54. Mini Project Build – CLI Calculator / Text Analyzer

55. Python for Data Science – pandas, matplotlib, numpy (tiny demo)

Module 5: Flask REST API Development (12 Sessions)

Mini Project: Notes API with MongoDB

56. Flask Setup – App Factory, Blueprints, Config

57. Routing, Query Params, JSON Responses

58. REST Design – Resources, Status Codes, Pagination

59. CRUD Endpoints – GET, POST, PUT, DELETE

60. Request Validation – Pydantic/Marshmallow

61. Authentication with JWT – Secure APIs

62. Middleware, Logging & Request IDs

63. Error Handling & Security Headers

64. MongoDB I – Connecting Flask with MongoDB Atlas (PyMongo)

65. MongoDB II – CRUD Operations, Indexing, Aggregations

66. Mini Project Build – Notes API with MongoDB

67. Industry Best Practices – Versioning, Scalability

Module 6: API Testing with Postman (2 Sessions)

Practice Project: Testing Notes API

68. Postman Basics – Collections, Requests, Environments

69. Advanced Postman – JWT Testing, Automated Tests with Newman

Module 7: Full-Stack Capstone Project (20 Sessions)

Capstone Project: Job Portal (React + Flask + MongoDB)

70. Project Kickoff – Requirements, Wireframes, API Spec

71. Repo Setup – Branch Strategy, Commit Conventions

72. React App Setup – Vite, Router, Layouts

73. Flask API Setup – Blueprints, Config

74. MongoDB Schema Design – Users, Jobs, Applications

75. Authentication – JWT in Backend

76. Auth UI – Login, Register, Protected Routes

77. CRUD UI – Job Posting, Editing, Applications

78. CRUD API – Job Postings with MongoDB

79. API Integration – React Query / Axios Interceptors

80. File Uploads – User Resumes / Company Logos

81. Search, Pagination & Filters – Job Listings

82. Role-Based Access Control – Admin/Employer/Applicant

83. Error Logging – Server Logs + Client Error Boundaries

84. E2E Testing – Cypress/Postman Collection Run

85. CI/CD – GitHub Actions (Lint, Test, Build, Deploy)

86. Deploy Backend – Flask + MongoDB Atlas (Render/Heroku)

87. Deploy Frontend – React (Vercel/Netlify)

88. Securing Deployment – HTTPS, CORS, Env Vars

89. Performance Tuning – Mongo Indexing, React Optimizations

90. Capstone Showcase – Demo Job Portal & Advanced Interview Prep

What Will You Learn

By the end of this program, students will learn:

• Frontend Development:

  • Build responsive websites with HTML5, CSS3, Flexbox, Grid.

  • Write modern JavaScript (ES6+), including async/await, modules, fetch API.

  • Develop production-ready React apps using hooks, context API, and router.

• Version Control & Collaboration:

  • Use Git for branching, merging, commits.

  • Collaborate with GitHub using PRs and industry-standard workflows.

• Backend Development with Python:

  • Write clean Python programs with OOP and data structures.

  • Use Python for small data analysis tasks (pandas, matplotlib, numpy).

  • Apply unit testing, type hints, and linting for maintainable code.

• REST APIs with Flask & MongoDB:

  • Build secure REST APIs using Flask, JWT authentication, and Blueprints.

  • Integrate MongoDB with Flask, use indexes, and optimize queries.

  • Apply best practices for API versioning, error handling, and scalability.

• API Testing:

  • Test endpoints using Postman collections, environments, and scripts.

  • Automate tests with Newman for CI/CD pipelines.

• Full-Stack Project Delivery:

  • Design and implement a Job Portal with user roles (Admin, Employer, Applicant).

  • Build React frontend with authentication, forms, and dashboards.

  • Develop Flask backend with MongoDB integration for job postings and applications.

  • Connect frontend and backend, handle authentication flows, and manage state.

  • Deploy applications to cloud platforms (Vercel/Netlify for frontend, Render/Heroku for backend, MongoDB Atlas for DB).

  • Secure deployments with HTTPS, CORS, environment variables.

• Industry Readiness:

  • Practice CI/CD pipelines with GitHub Actions.

  • Optimize performance for both frontend and backend.

  • Gain experience with real-world debugging, logging, and monitoring tools.

  • Prepare for technical interviews with system design Q&A, covering React, Flask, MongoDB, and deployment strategies.