Master Python Full Stack with AI

• Introduction CSS3
• CSS3 Syntax
• CSS3 How To
• CSS3 Colours
• CSS3 Backgrounds
• CSS3 Borders
• CSS Padding
• CSS Height/Width
• CSS3 Text
• CSS3 Fonts
• 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
• CSS3 Images
• CSS Attr Selectors
• CSS Forms
• CSS3 Buttons
• CSS3 Pagination
• CSS3 Box Sizing
• CSS3 Filters
• CSS3 Media Queries
• CSS3 Responsive

Introduction & Setup
What is Bootstrap?
Advantages of Using Bootstrap
Installing Bootstrap (CDN & Local Setup)
Bootstrap File Structure
Layout & Grid System
Container, Container-Fluid
Rows and Columns
Responsive Grid System (xs, sm, md, lg, xl)
Offsets, Nesting Columns
Typography & Content
Headings, Paragraphs, and Text Utilities
Text Alignment and Text Colors
Lists and Code Formatting
Bootstrap Components
Buttons and Button Groups
Alerts and Badges
Cards and Jumbotron
Navigation Bars (Navbar)
Dropdowns and Modals
Pagination and Breadcrumbs
Tooltips and Popovers
Forms & Input Controls
Form Layouts (Horizontal, Vertical, Inline)
Input Fields, Select, Checkboxes, Radio Buttons
Form Validation (Client-side)
Utilities & Helpers
Spacing (Margins & Padding)
Display Utilities
Flex Utilities
Visibility Classes
Colors and Backgrounds
Bootstrap Advanced Features
Responsive Images
Carousels / Sliders
Collapse & Accordion
Scrollspy
Toasts / Notifications
Project Application
Building a Responsive Website using Bootstrap
Creating Navigation Menus and Footer
Integrating Bootstrap Components into Projects

Prerequisites:
HTML and CSS
Basic understanding of OOPS Delivery method:
Instructor lead, hands-on exercises backed with assignments and mini project

• History of JavaScript
• Advantages
• Limitations
• Script Element
• Creating Your First JavaScript Program
• Coding Convention
• Setting Up Development Environment (with VSCode)
• Types and Statements
• Keywords in JavaScript
• Overview of Data Types
• Primitive Data Types
• Non-Primitive Data Types
• Conditional Statements
• I/O in JavaScript
• Loops
• JavaScript Dialog Boxes
• Operators
• Functions
• Arrays and Strings
• Objects in JavaScript
• Event Handling
• Document Object Model (DOM)
• Browser Object Model (BOM)
• Form Handling
• Debugging Techniques

Prerequisites:
OOPS concepts
Knowledge of HTML, CSS and JavaScript Delivery method:
Instructor lead, hands-on exercises backed with assignments and mini project
Introduction to React
History of React
Key Benefits of React
React Development Environment
Creating Your First React Application
React Source Code Structure
JSX:
Introduction to JSX
Coding in JSX
Expressions in JSX
Working with HTML
Conditional Constructs
Components:
Introduction to Components
Why Components?
Writing JSX Code in Components
Adding CSS
Populating Data Dynamically
Passing Data Through “Props”
Multiple Components
State and Event Binding:
Introduction to Events
Event Handlers
Working with State
Data Binding
Controlled and Uncontrolled Components
Rendering Lists and Conditional Contents:
Rendering Lists of Data
Using Stateful List
Keys in Data
Conditional Contents
Adding Dynamic Styles
Debugging Techniques:
Understanding Error Messages
Code Flow and Warnings
Breakpoints
Using React Dev Tools
Class-Based Components
HTTP
Custom React Hooks
Forms
Routing and Navigation
Authentication

Introduction to Languages:
What is a Programming Language?
Low-Level Language
High-Level Language
Compiler
Interpreter
Introduction to Python:
What is Python?
Why Python?
History
Features
Why Python is a General-Purpose Language?
Limitations of Python
Python Implementations
Python Applications
Python Language Fundamentals:
Keywords
Identifiers
Data Types and Variables
Python vs Java
Operators
Input & Output Operators
Print
Input
Command-line Arguments
Control Statements
Conditional Control Statements
If , If-Else ,If-Elif-Else,Nested-If,Loop Control Statements
For
While
Nested Loops
Continue
Pass
Return
Break
Data Structures
Strings
List Collection
Set Collection
Dictionary Collection
Functions
Set Collection
Dictionary Collection
Functions

Python Modules :
Importance of modular programming
What is module
Types of Modules – Pre defined, User defined
Packages:
Organizing python project into packages
Types of packages – pre defined, user defined.
Package v/s Folder
py file
Importing package
OOPs:
Exception Handling & Types of Errors
Regular expressions
File &Directory handling
Multi Threading
Numpy , Pandas , Matplotlib

REST API:
Designing RESTful Web APIs
REST API Overview
What Is REST?
Course Overview
History of Distributed Computing
HTTP in a Nutshell
HTTP in Action
What is REST
An Example of a Well-Designed API
What We’ve Learned
Designing a RESTful API:
Introduction
Designing for REST
Demo: Using URIs
Design Verbs
Demo: Using Verbs
Idempotency in Action
Understanding Idempotency
Designing Results
Demo: Designing Your Results
Formatting Results
Demo: Formatting Results
Hypermedia

• Introduction to Databases and RDBMS
• Introduction to SQL
• Install a Database engine
• SQL Syntax
• SQL Data Types
• SQL Comments
• SQl -Data Definition Language Commands and Operations
• SQl -Data Manipulation language Commands and Operations
• SQL Expressions
• SQl -Data Definition language Commands and Operations
• SQL -Data Manipulation Language Commands and Operations
• SQL -Data Control language Commands
• DCL Operations
• SQL Functions
• Sql Queries and Sub Queries
• Aggregate Functions
• SQL Joins
• SQL Views
• SQL Clauses

• Django Overview
• Creating a Project
• Apps Life Cycle
• Admin Interface
• Creating Views
• URL Mapping
• Template System
• Models
• Form Details
• Testing
• Page Redirection
• Sending Emails
• Deploying Django Framework
• Form Processing
• File Uploading
• Cookie Handling
• Sessions, Caching, and Comments

• Setting up Python Development Environment using VS Code or PyCharm.
• Managing Python packages with pip and creating isolated virtual environments.
• Understanding version control basics with Git and its importance in collaborative development.
• Core Git commands: clone, commit, push, pull, branch, merge, and resolving merge conflicts.
• Using GitHub for repository management, pull requests, issues, and code reviews.
• Collaborative development using GitHub workflows and branching strategies.
• Debugging Python applications using IDEs and browser-based dev tools.
• Applying code linters and formatters like flake8 and black to maintain clean, standardized code.
• Introduction to CI/CD pipelines and automating workflows with GitHub Actions.
• Best practices for commit messages, versioning, and maintaining open-source projects.

• Introduction to Cloud Computing concepts: IaaS, PaaS, SaaS.
• Overview of AWS Services: EC2, S3, RDS, Lambda, IAM, CloudWatch.
• Deploying Python applications on AWS using EC2 and serverless solutions with Lambda.
• Understanding storage options, databases, and serverless architecture.
• Basics of networking, security groups, and IAM roles in AWS.
• Continuous deployment with AWS CodePipeline and CodeDeploy.
• Integrating Python applications with cloud services and APIs.
• Monitoring and scaling applications efficiently using cloud best practices

Introduction to Generative AI
Understand what Generative AI is and how it differs from traditional AI.
Explore applications across text, images, audio, and even code generation.
Overview of popular models: GPT, DALL·E, Stable Diffusion.
Role of AI in creativity, automation, and problem-solving.
Learn about limitations, challenges, and ethical considerations.
Discuss real-world examples of AI tools transforming industries.
Foundations of AI & Machine Learning
Basics of Machine Learning and Deep Learning.
Understanding Neural Networks and their role in AI.
Difference between training and inference in AI models.
Importance of datasets for model performance.
Concepts of overfitting, underfitting, and generalization.
Introduction to AI frameworks: TensorFlow and PyTorch.
Text Generation with AI
Introduction to Language Models (LLMs).
Hands-on with GPT Models using OpenAI API or ChatGPT.
Generate text for content writing, Q&A, summarization.
Basics of prompt engineering for better output.
Overview of fine-tuning models for custom tasks.
Understanding tokenization, context, and sequence generation.
Image Generation with AI
Introduction to GANs and Diffusion Models.
Text-to-Image Generation using DALL·E or Stable Diffusion.
Explore style, color, and theme customization in generated images.
Discuss ethical and copyright concerns in AI-generated media.
Learn to integrate generated images into web or app projects.
Applications in design, marketing, and entertainment.
AI for Coding & Automation
AI-assisted code generation for Python, JavaScript, and more.
Automate repetitive tasks using AI tools.
Hands-on: Build a small AI code assistant.
Integrate AI with Python/JS projects.
Explore real-world examples like automated code reviews and bug fixes.
Learn best practices for safely integrating AI in production workflows.

• Build a small AI-powered tool (Chatbot, Text Summarizer, or Image Generator).
• Apply all concepts from text generation, image generation, and AI coding.
• Hands-on experience deploying AI applications locally or on cloud.
• Review key concepts, troubleshoot issues, and discuss solutions.
• Document project workflow and code.
• Q&A session and discussion on next steps for advanced AI learning.