Full Stack with AI

What is AI?

AI is the ability of machines to perform tasks that require human intelligence, like learning, reasoning, and problem-solving.

How AI works

AI uses data, algorithms, and computing power to make predictions and automate tasks.

AI in everyday life

Virtual assistants (Open AI, Deepseek), recommendation systems (Netflix, YouTube), and chatbots.

Application Overview:

Understanding the significance and types of applications.

Web Application Fundamentals:

Key components and basic concepts of web applications.

Web Technologies:

Essential technologies and frameworks used in web application development.

Software Development Life Cycle (SDLC):

Phases and methodologies for effective software development.

Agile & Scrum:

Principles, frameworks, and best practices for managing projects iteratively.

What is data?

Information collected from different sources (text, images, videos, numbers).

Types of Data:

Structured Data:

Organized in tables (databases, spreadsheets).

Unstructured Data:

Freeform content (videos, images, text, emails).

Semi-structured Data:

A mix of both (JSON, XML).

Data Storage:

Databases (SQL, NoSQL), cloud storage (AWS, Google Drive).

Data Analysis :

Finding useful information in data to help make better decisions.

Data Engineering:

Building systems and processes to collect, store, and process large datasets using tools like Hadoop and Spark.

Processing Power for AI:

AI needs strong computing resources to process large amounts of data.

Key Technologies:

CPU (Central Processing Unit):

General-purpose processor, used for basic AI tasks.

GPU (Graphics Processing Unit):

Specialized for AI training and deep learning.

TPU (Tensor Processing Unit):

Optimized for AI workloads (used by Google).

Edge Computing:

Running AI on devices instead of the cloud (e.g., AI in mobile phones).

Cloud AI Platforms:

Google Cloud AI, AWS AI, Microsoft Azure AI.

1. CRM (Customer Relationship Management)

AI enhances customer interactions, automates responses, and provides predictive analytics for better decision-making.

Example: AI-powered chatbots in Salesforce CRM analyze customer inquiries and provide automated, intelligent responses, improving customer support efficiency.

2. HRMS (Human Resource Management System)

AI automates recruitment, employee engagement, and performance tracking.

Example: SAP SuccessFactors uses AI for resume screening, predicting employee attrition, and providing personalized training recommendations.

3. Education

LMS centralizes learning, automates course management, and tracks progress.

Example: LMS platforms

4. Retail & E-Commerce

AI-driven tools assist in frontend optimization, automated testing, and predictive load balancing.

Example: Meta’s AI-powered React framework optimizes component rendering, enhances performance, and personalizes user interactions based on behavior.

Topics1 : Introduction to HTML

1. Basics of HTML

The evolution and role of HTML in web development.

Understanding HTML syntax and the structure of documents.

2. Core HTML Elements

Detailed look at paragraphs, headings, links, images, and their attributes.

3. Structuring Web Content

Using lists and tables for data presentation.

The significance of semantic HTML for accessibility.

Topics2 : Enhancing Web Pages with Forms and Multimedia

1. Interactive Forms

Crafting forms for data collection with a variety of input types.

Basics of form validation and ensuring accessible form design.

2. Embedding Multimedia

Incorporating audio and video elements.

Embedding external resources with `

Topics3 : Advanced HTML Features

1. Modern HTML Elements

Exploring semantic elements like `

`, `

`, and `

Topics:

1. Foundations of CSS

History and evolution of CSS.

How CSS works with HTML to style webpages.

The role of the CSSOM (CSS Object Model) in web rendering.

Overview of CSS specifications and how to read the CSS documentation.

2. Applying CSS Styles

Comparison of External, Internal, and Inline Styles: Use cases and best practices.

Linking stylesheets and understanding the '' tag.

The importance of CSS placement for performance and maintenance.

3. CSS Syntax

Detailed exploration of properties and values.

Writing well-structured CSS rules.

Understanding the universal selector (*) and its use cases.

Comments in CSS: Syntax and best practices for documentation.

4. Selectors and Combinators

Types of selectors: Class, ID, Attribute, Pseudo-class, and Pseudo-element selectors.

Combinators: Descendant, Child, Adjacent Sibling, and General Sibling.

Practical exercises: Using selectors to style complex layouts.

Topics : Styling and the Box Model

1. Understanding the Box Model

In-depth look at content, padding, border, and margin.

Box-sizing: border-box vs. content-box.

Visualizing the box model with browser developer tools.

2. Typography and Text Styling

Font families, web-safe fonts, and @font-face rule.

Text styling properties: weight, style, spacing, shadow.

Web typography best practices for readability and accessibility.

3. Units, Values, and Colors

Absolute vs. Relative units: When and why to use each.

Color models in CSS: RGB, RGBA, HSL, HSLA, and Hexadecimal.

Implementing custom properties (CSS Variables) for theme management.

4. Specificity, Inheritance, and the Cascade

How CSS determines which rules apply: Specificity hierarchy.

Inheritance and how it affects styling.

The role of the cascade in resolving style conflicts.

Strategies to organize and structure CSS to minimize specificity conflicts.

Topics : Advanced Styling Techniques

1. Visual Effects

Implementing box-shadow and text-shadow for depth and visual interest.

Using border-radius for rounded corners.

Gradient backgrounds: Linear and radial gradients.

2. Background Techniques

Complex background images and patterns.

Controlling background size, position, and repetition.

Multi-layer backgrounds and their use cases.

3. Advanced Border and Outline Styling

Border images for intricate border designs.

Styling and animating outlines as focus indicators.

4. Layout Control with Overflow and Margin Collapsing

Controlling content overflow: scroll, hidden, and auto.

Understanding when and why margin collapsing occurs.

Strategies to prevent unwanted margin collapsing.

Topics : CSS Layouts and Positioning

1. The Display Property

In-depth exploration of block, inline, inline-block, none, and table.

Newer display values: flex, grid, and contents.

2. CSS Positioning Techniques

Detailed scenarios for using each positioning value.

Creating sticky headers and footers.

Overlaying content with absolute positioning.

3. Floating Elements and Clearing Floats

The role of floats in CSS layout history.

Techniques for clearing floats: clearfix hack and overflow method.

When to use floats in modern CSS.

4. Handling Overflow

Techniques for managing content overflow in containers.

Design patterns for scrollable elements.

Topics : Responsive Design and Advanced CSS Features

1. Flexbox and Grid Layouts

Detailed guide to Flexbox: Properties for containers and items.

Grid Layout: Defining grid containers, grid items, and grid areas.

Use cases and practical examples: When to use Flexbox vs. Grid.

2. Responsive Design Techniques

Media Queries: Syntax and breakpoints.

Mobile-first vs. Desktop-first strategies.

Responsive images and videos: Techniques for adaptive media.

3. Animations and Transitions

Creating smooth transitions between states.

Keyframe animations: Building complex animations with @keyframes.

Performance considerations for CSS animations.

4. Advanced Responsive Design

Implementing responsive typography.

Strategies for accessible, responsive forms.

Advanced layout patterns: Masonry, column-drop.

Topic 1: Getting Started with Bootstrap

1. Introduction to Bootstrap

2. Setting Up Bootstrap

3. Using Bootstrap CDN

4. Basic Grid System

5. Containers, Rows, and Columns

Topic 2: Bootstrap Layouts and Responsiveness

1. Responsive Classes

2. Typography and Utilities

3. Default Typography

4. Text Alignment and Display Classes

5. Spacing Utilities

Topic 3: Navigation and Components in Bootstrap

1. Navigation

2. Navbar Dropdowns within Navbar

3. Alerts: Basic Alerts & Dismissible Alerts

4. Badges

5. Button Styles & Button Groups

Topic 4: Advanced Bootstrap Components

1. Basic Card: Card Headers and Footers

2. Image Overlays in Cards

3. Form Controls, Form Groups, and Layout

4. Validation Feedback

5. Basic Modal Setup

6. Carousel with Indicators and Controls

Topic 5: Interactivity and Layout in Bootstrap

1. Tooltips and Popovers

2. Flex Container and Items

3. Direction, Order, and Alignment in Flex

4. Visibility Classes

Topic 1: Core JavaScript Concepts

1. Introduction to JavaScript

Variables, Data Types, Operators

2. Functions and Scope

Functions, Parameters, Return Statements

Function Expressions, Default Parameters, IIFE (Immediately Invoked Function Expressions)

JavaScript Functions and Scope, Anonymous Functions, Higher-Order Functions, Callback Functions, Arrow Functions, Closures

3. Control Structures and Data Handling

Hoisting, Control Structures, Conditional Statements, Loops

Arrays - Introduction and Methods, Object Methods, Spread/Rest Operators, Array and Object Destructuring

4. Strings, Dates, and Template Literals

String Methods, Date Methods, Template Literals

5. Object-Oriented Programming in JavaScript

Objects and Classes, Getters and Setters, Prototypes, Inheritance, Constructor Functions

Topic 2: Advanced JavaScript Features

1. Deep Dive into Functions and Scope

Exploring further into Functions and Scope beyond the basics

2. Asynchronous JavaScript

Introduction To AJAX, Callbacks, Promises, Async/Await

3. Execution Context, Scope Chain, and Error Handling

Execution Context and Scope Chain, Error Handling (try...catch)

4. Modules and Regular Expressions

Modules and Import/Export, Introduction to Regular Expressions

5. Local Storage and Session Storage

Utilizing Web Storage APIs for storing data locally

Topic 3: Working with the Document Object Model (DOM)

1. DOM Basics

DOM Tree, Nodes, Manipulation

2. Event Handling

Event Listeners & Event Delegation

3. Advanced DOM Manipulation

DOM Traversal, create Element, append Child, insert Before

Topic 4: Asynchronous Programming and APIs

1. Asynchronous JavaScript Revisited

A comprehensive look into AJAX, Fetch API, Promises, and Async/Await

2. Working with APIs

Understanding Web APIs, Making HTTP requests using the Fetch API, Handling responses and working with JSON, Error handling with Fetch API

Topic 5: Modern JavaScript Development

1. Advanced Function Usage

A deeper exploration of JavaScript's functional programming aspects

2. Error Handling and Regular Expressions

Advanced techniques for managing errors and utilizing regular expressions for data validation

3. JavaScript Modules

Leveraging modules for efficient code organization and reusability

4. Web Storage

Strategies for using Local Storage & Session Storage to enhance user experience

Topic 1: Introduction to TypeScript and its Fundamentals

1. Understanding TypeScript

What is TypeScript?

Benefits of using TypeScript

Setting up the TypeScript environment

Introduction to the TypeScript Compiler

2. The Core Concepts

Variables in TypeScript

Basic and Complex Data Types

Type Inference and Type Compatibility

Topic 2: Diving Deeper into TypeScript Types

1. Working with Enums

Enums and their uses 2. Advanced Typing Features

Advanced Types: Union, Intersection, Conditional Types

3. Iterating with TypeScript

Iterators and Generators

Topic 3: Object-Oriented Programming with TypeScript

1. OOP Fundamentals in TypeScript

Introduction to Object-Oriented Programming concepts

Classes and Objects

2. Inheritance and Polymorphism

Inheritance: Extending Classes

Polymorphism: Method Overriding

Topic 3: Object-Oriented Programming with TypeScript

1. OOP Fundamentals in TypeScript

Introduction to Object-Oriented Programming concepts

Classes and Objects

2. Inheritance and Polymorphism

Inheritance: Extending Classes

Polymorphism: Method Overriding

Topic 4: Leveraging Interfaces and Abstract Classes in TypeScript

1. Interfaces: Blueprint of an Object

Understanding Interfaces

Applying Interfaces to Classes

2. Abstract Classes

Abstract Classes and their application

Differentiating Interfaces from Abstract Classes

Topic 5: Code Organization with Modules and Namespaces

1. Namespaces

Organizing code with Namespaces

2. Modules: The Building Blocks

Modules in TypeScript

Importing and Exporting Modules

Topics:

1. Getting Started with React

Introduction to React and its significance in modern web development.

Setting up a React development environment.

2. ES6 for React

Essential ES6 features for React development: Arrow Functions, Let and Const, Template Literals.

Advanced ES6 features: Destructuring, Spread/Rest Operators, ES6 Modules, Promises, Async/Await.

3. Functional Components and JSX

Understanding functional components and JSX syntax.

Benefits of functional components over class components.

Topics:

1. React Components and JSX Deep Dive

JSX syntax nuances, embedding expressions, and creating functional components.

2. State and Props in React

Managing component state with useState.

Understanding and using props for parent-child communication.

3. React Hooks for Component Lifecycle

Introduction to useEffect for side effects in functional components.

Topics:

1. Advanced Hooks and State Management

Exploring useContext, useReducer for global state management and performance optimizations with useCallback, useMemo.

2. Styling and Data Fetching

Approaches to styling: CSS Modules, Styled Components.

Fetching data from APIs using useEffect and Axios.

Topics:

1. Routing in React Applications

Implementing single-page applications with React Router.

2. Form Handling in React

Strategies for building and managing forms efficiently.

3. Global State Management with Redux

Basics of Redux for global state management in large-scale applications.

Topics:

1. Optimizing React Applications

Techniques like code splitting, lazy loading with React Suspense.

2. Testing React Components

Unit testing strategies using Jest and React Testing Library.

3. React Best Practices

Code organization, performance optimization strategies, and maintaining coding standards.

Topics

1. Foundations of Node.js

Introduction to Node.js, its architecture, setup, and the Node.js ecosystem.

2. JavaScript and ES6+ for Node.js

Covering JavaScript basics and ES6+ features essential for Node.js development.

3. Node.js Runtime Deep Dive

Exploring the event loop, non-blocking I/O, and built-in modules crucial for Node.js applications.

Topics

1. Express.js Fundamentals

Setting up an Express server, routing, middleware, and serving static files.

2. Data Handling in Node.js

JSON data handling, file system operations, and basics of integrating SQL and NoSQL databases.

Topics

1. RESTful API Development

Designing and implementing RESTful APIs, documentation, and testing strategies.

2. Securing Node.js Applications

Authentication methods, implementing JWT and OAuth, and security best practices.

Topics

1. Advanced Asynchronous Patterns and Real-Time Communication

Utilizing advanced asynchronous patterns, WebSockets for real-time communication.

2. Node.js Application Security and Performance

Enhancing application security, deployment strategies, and performance optimization.

Topics

1. MongoDB Basics and CRUD Operations

Introduction to MongoDB, basic operations, CRUD operations, and understanding ObjectIds and Indexes.

2. Aggregation and Data Modeling in MongoDB

Utilizing MongoDB's aggregation capabilities and strategies for effective data modeling.

3. Integrating MongoDB with Node.js

Establishing connections using MongoClient and Mongoose, conducting database operations, and optimizing CRUD operations in a Node.js environment.

Why Python? (Simplicity, Libraries, Community Support).

Setting up Python (Anaconda, Jupyter Notebook, VS Code.

Data Types (int, float, string, list, tuple, dict).

Control Structures (if-else, loops).

Functions & Modules.

File Handling.

Classes & Objects

Inheritance & Polymorphism.

Encapsulation & Abstraction.

   

How OOP is used in AI (e.g., Model Classes in TensorFlow/PyTorch).

NumPy – Arrays & Numerical Computation.

     

Pandas – Data Manipulation & Analysis.

Matplotlib & Seaborn – Data Visualization.

Reading/Writing CSV, Excel, JSON.

Handling Missing Data.

Data Cleaning & Transformation.

Why FastAPI?  (Speed, Asynchronous Support, Auto-Documentation, Community Support)

Setting up FastAPI  (Installing FastAPI, Uvicorn, and Virtual Environments)

FastAPI vs Other Frameworks  (Flask, Django, Express)

Request & Response Models  (Pydantic for Data Validation)

Path & Query Parameters

Dependency Injection

Middleware & Background Tasks

Using Classes for API Services

Dependency Injection with Classes

Encapsulation & Abstraction for API Logic

How OOP is used in AI APIs  (e.g., Serving ML Models with FastAPI)

SQLAlchemy  – ORM for Database Management

Pydantic  – Data Validation & Serialization

Tortoise-ORM  – Async Database Handling

Jinja2  – Templating in FastAPI

Handling JSON & Form Data

Request & Response Data Validation

Connecting FastAPI with Databases  (PostgreSQL, MongoDB, SQLite)

Data Serialization & Transformation

WebSockets for Real-time Communication

Authentication & Authorization  (OAuth2, JWT, API Keys)

CORS, Rate Limiting, and Security Best Practices

Background Tasks & Asynchronous Processing

Deploying FastAPI with Docker & Kubernetes

Using Cloud Services  (AWS, GCP, Azure) for FastAPI

Performance Optimization & Monitoring

CI/CD Integration for FastAPI Projects

Manual & Automation Testing - Comprehensive Guide

Understanding Software Testing: Purpose, Importance, and Role in SDLC

Manual Testing: Definition, Advantages, and When to Use

Types of Applications: Web, Mobile, and Desktop

Characteristics of a Quality Application: Usability, Performance, and Security

Objectives of Testing: Defect Prevention, Reliability, and Compliance

Software Development Models:

Waterfall Model (Phases, Pros & Cons)

Agile Model (Scrum, Kanban, CI/CD)

Testing Methodologies:

Black Box Testing (Functional, Non-Functional)

White Box Testing (Code-Level Testing, Path Coverage)

Gray Box Testing (Combination Approach)

Types of Testing:

Functional Testing (Unit, Integration, System, UAT)

Non-Functional Testing (Performance, Security, Usability)

Levels of Testing:

Unit Testing, Integration Testing, System Testing, and UAT

Defect Management & Bug Lifecycle:

Defect Life Cycle (Open, Assigned, Fixed, Retested, Closed)

Defect Logging & Tracking (Jira, Bugzilla)

Severity vs Priority (Impact vs Urgency)

Test Design Techniques:

Loop Coverage, Equivalence Partitioning, Boundary Value Analysis

Exploratory & Ad-hoc Testing

Software Testing Life Cycle (STLC):

Test Planning, Test Case Development, Test Execution, Defect Reporting, and Closure

Best Practices in Testing:

Writing Effective Test Cases & Scenarios (Clarity, Reproducibility)

Introduction to Automation Testing with Playwright:

What is Playwright? Features, Advantages Over Selenium & Cypress

Playwright Architecture & Auto-Waiting Mechanism

Installing & Writing the First Test

Locators, Element Interactions, and Handling Dynamic Elements

Debugging Playwright Tests (Tracing, Screenshots, Videos)

Introduction to API Testing: REST, SOAP, GraphQL

Core API Testing Concepts:

HTTP Methods, Status Codes, Authentication (OAuth, JWT)

Query Parameters, Headers, and Response Validation

Automating API Testing with Python & Pytest:

Writing API Tests using `requests`, `httpx`

Mocking API Responses (`responses`, `pytest-mock`)

API Contract Testing (JSON Schema Validation)

Advanced API Testing:

Capturing & Mocking API Calls using Playwright

Rate Limiting & Throttling in API Testing

Performance Testing APIs (Load & Stress Testing with Locust)

Test Metrics & Reporting:

Test Case Effectiveness, Defect Density, Formula-Based Calculations

Quality Assurance vs Quality Control:

Key Differences, Proactive vs Reactive Approach

Test Management & Tools:

Popular Test Management Tools (TestRail, Zephyr, qTest)

Integrating Test Management with CI/CD

Advanced Playwright Automation Framework:

Running Tests in Parallel (`pytest-playwright`)

Implementing Page Object Model (POM)

Data-Driven Testing (CSV, JSON, Excel)

File Handling: Uploads, Downloads, and File-Based Testing

1. Cloud Computing Basics

Understanding cloud computing: Definitions, service models (IaaS, PaaS, SaaS), and deployment models (public, private, hybrid, multicloud).

2. Cloud Service Providers Overview

Introduction to major cloud platforms (e.g., AWS, Azure, Google Cloud), focusing on their core services relevant to developers.

3. Cloud-based Development Environments

Setting up and utilizing cloud-based IDEs and development tools to streamline development workflows.

3. Deploying Applications on the Cloud

Basic concepts of application deployment on the cloud, including containerization basics with Docker and initial orchestration concepts.

Topics

1. Understanding DevOps

The philosophy, practices, and benefits of DevOps in modern software development, emphasizing collaboration, automation, and integration.

2. Version Control with Git

Deep dive into using Git for source code management, including best practices for branches, commits, merges, and pull requests.

3. Continuous Integration/Continuous Deployment (CI/CD)

Introduction to CI/CD pipelines, overview of tools ( GitHub Actions), and setting up basic pipelines for automated testing and deployment.

4. Monitoring and Feedback

Basics of application monitoring, log management, and utilizing feedback for continuous improvement.

Topics

1. Containers and Docker

Introduction to containers, Docker fundamentals, creating Docker images, and container management basics.

2. Configuration Management Tools

Overview of tools like Ansible and Chef for automating the configuration of servers and environments.

3. Managing Application Infrastructure

Basic strategies for managing infrastructure as part of the application lifecycle, including introduction to infrastructure as code (IaC) principles.

4. Serverless Computing Concepts

Understanding serverless computing and its implications for full stack development, including FaaS (Function as a Service) basics.

Topics

1. Scalable Application Design

Principles of designing scalable applications that can grow with user demand, focusing on microservices architecture and stateless application design.

2. Databases in the Cloud

Overview of cloud database services (SQL and NoSQL) and integrating them into web applications.

3. Security Basics in Cloud and DevOps

Understanding security best practices in cloud environments and throughout the DevOps pipeline.

What is Generative AI?

Key Applications

Text (Chatbots, Content Generation)

Image (DALL·E, MidJourney)

  Audio (Music Generation, Voice Synthesis)

  Code (Cursor, Copilot)

Evolution of GenAI:

From Rule-Based Systems to Deep Learning

Comparison of Generative Models (GANs, VAEs, LLMs)

Challenges in GenAI (Bias, Hallucinations, Ethical Considerations)

What is Prompt Engineering?

Importance of Effective Prompt Design

Basic Prompting Techniques:

Instruction-Based Prompts

Few-Shot & Zero-Shot Learning

Advanced Prompt Engineering:

 Chain-of-Thought (CoT) Prompting

Self-Consistency & Iterative Refinement

Structured vs. Unstructured Prompts

Experimenting with LLMs (Using GPT-4, Claude, or LLaMA)

  Transformers & LLMs

  Why Transformers? (Limitations of RNNs & LSTMs)

Key Components:

Self-Attention Mechanism

Multi-Head Attention

Encoder-Decoder Architecture

Evolution of Transformers:

From BERT to GPT, T5, and Beyond

Large Language Models (LLMs)

What are LLMs?

Pre Training vs. Fine-Tuning

Popular LLM Architectures:

GPT (OpenAI GPT-4,O3)

DeepSeek

BERT (Contextual Embeddings)

T5 (Text-to-Text Models)

Challenges in LLMs:

Bias & Ethical Issues

Scalability & Cost

Model Hallucinations

GANs & VAEs (Other Generative Models)

Generative Adversarial Networks (GANs):

What are GANs?

How GANs Work: Generator & Discriminator

Applications of GANs (DeepFake, Image Generation,Super-Resolution)

◙ Autoencoders & Variational Autoencoders (VAEs):

What are Autoencoders?

Difference Between Autoencoders & VAEs

 Applications (Data Denoising, Anomaly Detection) Lightweight Models (LIMs)

What are Lightweight AI Models?

Difference Between LIMs & LLMs

Use Cases of LIMs in Edge AI

LangChain

  What is LangChain

  Building Modular LLM Workflows

Practical Applications

Hugging Face

Overview of Hugging Face Transformers & Datasets

How to Fine-Tune & Deploy Models

Vector Databases & Retrieval-Augmented Generation (RAG)

  Introduction to Vector Databases (Pinecone, Weaviate, FAISS)

  Understanding RAG and Its Role in GenAI

What are AI Agents?

Difference Between AI Agents and Traditional AI Systems

Key Characteristics:

Autonomy

  Goal-Oriented Behavior

Tool Usage & Execution

Real-World Applications of AI Agents

  CrewAI (Multi-Agent Collaboration)

Overview: How CrewAI enables multi-agent workflows

 Components: Roles, Tasks, Tools, Memory

Use Case: Automating research and content generation

N8N (Workflow Automation for AI Agents)

  What is N8N?

  Connecting AI Agents with APIs and automation

Use Case: AI-driven task execution with n8n

  Langflow (Visual Agent Orchestration)

Introduction to Langflow

Building AI Agent workflows with a drag-and-drop interface

Use Case: Rapid prototyping and deployment of AI Agents

  Creating AI Agents using CrewAI + Lang Flow

Automating tasks with CrewAI + N8N

Multi-agent collaboration for business workflows