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Back-End Development

Demo Lecture

Course Curriculum

Module 1: Introduction to Backend Development and Node.js

Overview of backend development
Importance of backend in web development Backend technologies and their role
What is Node.js?
Installation and setup
Understanding Node.js architecture
JavaScript fundamentals review
Node.js modules and CommonJS syntax
Asynchronous programming with callbacks

Module 2: Building Web Servers with Node.js

Defining routes in Node.js
Introduction to package.json and npm packages.
HTTP request and response.
Handling different HTTP methods (GET, POST, PUT, DELETE)
Parsing request parameters and payloads
Static file hosting, server side rendering, Web APIs
Passing data from backend to frontend

Module 3: Building Web Servers with Express.js

What is Express.js?
Why use Express.js for web development?
Installing Express.js and setting up a project
Defining routes in Express.js
Handling different HTTP methods (GET, POST, PUT, DELETE)
Parsing request parameters and payloads
API Endpoints
Understanding middleware concept
Implementing custom middleware
Using third-party middleware (body-parser, morgan, etc.)
Integrating template engines like EJS or Pug
Rendering dynamic content in views
Passing data from backend to frontend

Module 4: Building RESTful APIs

What are RESTful APIs?
Understanding RESTful principles (resources, methods, status codes, etc.)
Benefits of RESTful architecture
Designing API endpoints
Implementing CRUD operations for resources
Handling request validation and error responses
Securing APIs with middleware

Module 5: Working with MongoDB

What is MongoDB?
Comparing MongoDB with SQL databases
Installing and setting up MongoDB
Performing CRUD operations (Create, Read, Update, Delete)
Using MongoDB shell for command line interface
Using MongoDB Compass for visual interaction
Introduction to MongoDB Atlas for cloud-based database hosting
Introduction to Mongoose
Connecting Node.js to MongoDB using Mongoose
Defining models and schemas in Mongoose
Performing advanced queries (aggregation, indexing, etc.)
Working with embedded documents and arrays

Module 6: Testing and Deployment

Introduction to unit testing
Setting up Jest for testing Node.js applications
Writing unit tests for backend components
Overview of integration testing
Using SuperTest for testing Express.js APIs
Writing integration tests for API endpoints
Introduction to dotenv
Implementation of dotenv package for port number, password etc
Choosing a deployment platform (Heroku, AWS, etc.)
Preparing the application for production
Deploying the backend application

Module 7: Best Practices and Advanced Topics

Implementing error handling middleware
Logging best practices with Winston or similar libraries
Handling uncaught exceptions and promise rejections
Identifying performance bottlenecks in Node.js applications
Techniques for improving performance (caching, load balancing, etc.)
Monitoring and profiling Node.js applications
Introduction to WebSocket protocol
Implementing real-time features with Socket.IO
Building chat applications and other real-time experiences
Introduction to Docker and containerization
Dockerizing a Node.js application
Managing containers with Docker Compose

Module 8: Project

 

CAD Designing & Ansys Analysis

Demo Lecture

Course Curriculum

Curriculum for CAD Designing and ANSYS Analysis

Module 1 – Introduction to CAD
1.1 – Overview to CAD
1.2- Setting up a workspace and drawing basic shapes

Module 2 – 2D CAD Drawing Fundamentals
2.1- Drawing Fundamentals in SolidWorks
2.2- Advanced sketching techniques
2.3- Dimensioning and modifying sketches
2.4- Circular Patterns and path functions
2.5- 2D drawing of a component

Module 3 – Introduction to 3D CAD Design
3.1- Introduction to 3D Modelling
3.2- Revolve feature
3.3- Sweep and Sweep Cut
3.4- Extrude, Extrude Cut, Thread Cut, Loft
3.5- Advanced CAD Techniques

Module 4 – Advanced CAD Techniques
4.1- Parametric modelling , constraints and introduction to assembly
4.2- Assembly and mating of components
4.3- Assembly of Knuckle joint
4.4 – Assembly of Knuckle joint(2)
4.5- Rendering and Visualization of CAD Models

Module 5 – CAD Project

Module 6 – Introduction to CAD Simulation
6.1- Introduction to Simulation
6.2- Setting up Simulation Workspace and Basic Simulation

Module 7 – Static and Thermal Simulations
7.1- Static Simulation
7.2- Static Simulation
7.3- Advanced Static Simulation
7.4- Basic Thermal Simulation
7.5- Thermal Simulation
7.6- Heat Sink Simulation
7.7- Thermal Analysis of a Composite Wall

Module 8- Advanced Simulations in CAD
8.1- Advanced CAD Simulation
8.2- Modal Analysis
8.3- Buckling Analysis
8.4- Motion Analysis

Module 9 – Introduction to ANSYS
9.1- ANSYS Workbench
9.2- Importing Geometry And Meshing Techniques

Module 10 – Structural and Thermal Analysis in ANSYS
10.1- Structural Analysis in Mechanical APDL
10.2- Structural Analysis on Mechanical APDL
10.3- Structural Analysis – Mechanical APDL
10.4- Structural Analysis- Mechanical APDL
10.5- Thermal Analysis- Mechanical APDL
10.6 part 1- STATIC STRUCTURAL
10.6 part 2- STATIC STRUCTURAL
10.7- STATIC STRUCTURAL
10.8- STATIC STRUCTURAL( Contacts and BOLT PRETENSION)
10.9- STEADY STATE THERMAL ANALYSIS
10.10- TRANSIENT THERMAL ANALYSIS

Module 11- Fluid and Advanced Analysis in ANSYS
11.1- CFD ANALYSIS
11.2- CFD ANALYSIS 2
11.3- Transient fluid analysis
11.4- ADVANCED CFD
11.5- ADVANCED CFD ANALYSIS
11.6- INTRODUCTION TO EXPLICIT DYNAMICS AND NON LINEAR SIMULATION
11.7- CFD PROJECT
11.8- CFD PROJECT 2

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    Cloud Computing With AWS

    Demo Lecture

    Course Curriculum

    Module 1: Introduction to Cloud Computing

    • Overview of Cloud Computing
      • Definition, Characteristics, and Benefits
      • Types of Cloud Services: IaaS, PaaS, SaaS
      • Deployment Models: Public, Private, Hybrid, and Community Clouds
    • History and Evolution of Cloud Computing
      • From On-Premises to the Cloud
      • Major Milestones and Innovations
    • Why AWS for Cloud Computing?
      • AWS Overview and Market Leadership
      • Global Infrastructure: Regions and Availability Zones

    Module 2: Core Concepts of Cloud Computing

    • Virtualization Basics
      • AWS EC2 Instances as an Example of Virtual Machines
      • Amazon ECS and EKS for Container Management
    • Networking in the Cloud
      • Amazon VPC: Subnets, Route Tables, and Gateways
      • Elastic Load Balancing (ELB) and AWS Direct Connect
    • Storage in the Cloud
      • AWS S3 for Object Storage: Buckets, Access Policies, and Lifecycle Management
      • Amazon EBS for Block Storage

    Module 3: Cloud Infrastructure and Architecture

    • Scalability and Elasticity
      • Using AWS Auto Scaling for Elastic Workloads
      • Horizontal and Vertical Scaling with Amazon EC2
    • Cloud-Native Architecture
      • Serverless Computing with AWS Lambda
      • Orchestrating Containers with Amazon ECS and EKS
    • High Availability and Disaster Recovery
      • Multi-Region Deployments with AWS Route 53
      • Backup Strategies Using AWS Backup

    Module 4: Security in the Cloud

    • Cloud Security Fundamentals
      • Shared Responsibility Model with AWS
      • Identity and Access Management (IAM) for User Roles and Permissions
    • Data Security
      • Encryption Using AWS Key Management Service (KMS)
      • Monitoring and Auditing with AWS CloudTrail
    • Compliance and Governance
      • Managing Compliance with AWS Config and Artifact

    Module 5: Cloud Service Models

    • Infrastructure as a Service (IaaS)
      • Provisioning EC2 Instances
      • Managing Storage and Networking with Amazon VPC and Elastic IPs
    • Platform as a Service (PaaS)
      • Deploying Applications Using AWS Elastic Beanstalk
    • Software as a Service (SaaS)
      • Exploring AWS Marketplace for SaaS Solutions

    Module 6: DevOps and Automation in the Cloud

    • Cloud and DevOps Integration
      • Building CI/CD Pipelines with AWS CodePipeline and CodeDeploy
    • Infrastructure as Code (IaC)
      • Automating Resource Provisioning Using AWS CloudFormation and Terraform
    • Monitoring and Logging
      • Application Monitoring with Amazon CloudWatch

    Module 7: Cloud Economics and Optimization

    • Cost Management in AWS
      • Exploring AWS Pricing Models
      • Using AWS Budgets and Cost Explorer to Track and Optimize Costs
    • Resource Optimization
      • Reserved Instances and Savings Plans in EC2
      • Using Trusted Advisor for Recommendations
    • Sustainability in the Cloud
      • AWS’s Commitment to Renewable Energy and Carbon Footprint Reduction

    Module 8: Emerging Trends in Cloud Computing

    • Edge Computing with AWS
      • AWS IoT Greengrass and AWS Wavelength
    • AI and Machine Learning in the Cloud
      • Using Amazon Sage Maker for Machine Learning Workflows
    • Hybrid and Multi-Cloud Strategies
      • Managing Hybrid Environments with AWS Outposts

    Module 9: Projects

     

    Data Science & Analytics

    Demo Lecture

    Course Curriculum

    Module – 1 Introduction to Data Science
    What is Data Science?
    Introduction to the Data Science Workflow
    Importance and applications of data science

    Module – 2 Introduction to Data
    Understanding data types: structured vs. unstructured
    Basics of data collection and data entry

    Module – 3 Data Wrangling
    Data cleaning and pre-processing techniques
    Handling missing data
    Data manipulation with Pandas in Python

    Module – 4 Exploratory Data Analysis (EDA)
    Descriptive statistics: mean, median, mode, standard deviation, etc.
    Data visualization basics with Matplotlib and Seaborn

    Module – 5 Data Visualization
    Data visualization using Matplotlib and Seaborn libraries
    Visualizing distributions, relationships, and trends in data

    Module – 6 Statistical Analysis
    Probability theory and distributions
    Hypothesis testing (t-tests, chi-square tests)
    Correlation and regression analysis
    Introduction to statistical inference

    Module – 7 Machine Learning Fundamentals
    Introduction to machine learning
    Supervised learning
    Unsupervised learning
    Model evaluation and validation techniques

    Module – 8 Model Evaluation
    Train/test split
    Cross-validation
    Performance metrics: accuracy, recall, precision, sensitivity

    Module – 9 Data Engineering
    Database systems (SQL and NoSQL)
    Data warehousing
    Introduction to Power BI: overview, Power Query Editor, visualizing loaded data, creating story, creating dashboards

    Module – 10 Advanced Topics and Applications 
    Clustering algorithms (K-means, hierarchical clustering)
    Dimensionality reduction techniques (PCA, t-SNE)
    Natural Language Processing (NLP) basics
    Introduction to deep learning and neural networks

    Module 11 – Project
    Project: applying learned concepts and tools to solve a real-world problem

    Ethical Hacking

    Demo Lecture

    Course Curriculum

    Introduction to Ethical Hacking
    – Understanding Ethical Hacking and its Importance
    – Differentiating Ethical Hacking from Malicious Hacking
    – Legal and Ethical Considerations
    – Overview of Common Cybersecurity Threats and Attack Vectors
    – Introduction to Penetration Testing and Vulnerability Assessment
    – Installing Linux, Linux Basics & File Permissions

    Networking Fundamentals
    – Basics of Computer Networks
    – TCP/IP Fundamentals
    – OSI Model and its Layers
    – Understanding Network Protocols (e.g., HTTP, FTP, DNS)
    – Network Scanning Techniques and Tools

    Information Gathering and Footprinting
    – Understanding Information Gathering Techniques
    – Passive and Active Information Gathering
    – Whois Lookup, DNS Enumeration, and Google Hacking
    – Social Engineering Fundamentals
    – Using Open Source Intelligence (OSINT) Tools

    System Hacking
    – Understanding System Architecture
    – Exploiting System Vulnerabilities
    – Password Cracking Techniques and Tools
    – Privilege Escalation
    – Malware Fundamentals and Countermeasures

    Web Application Security
    – Understanding Web Application Architecture
    – Common Web Application Vulnerabilities (e.g., SQL Injection, Cross-Site Scripting)
    – Web Application Scanning and Enumeration
    – OWASP Top 10
    – Web Application Penetration Testing Methodologies and Tools

    Wireless Network Security and Ethical Hacking Project
    – Wireless Networking Fundamentals
    – Wireless Security Protocols (e.g., WEP, WPA, WPA2)
    – Wireless Hacking Techniques (e.g., Packet Sniffing, Deauthentication Attacks)

    Project

    Front-End Development

    Demo Lecture

    Course Curriculum

    Module 1: Introduction to Web Development

    Lesson 1: Understanding the Basics of Web Development
    What is web development?
    Overview of front-end vs. back-end development
    Lesson 2: Introduction to HTML
    What is HTML?
    Basic structure of an HTML document
    Tags, elements, and attributes

    Module 2: Building Layouts with CSS

    Lesson 3: Introduction to CSS
    What is CSS?
    Basic CSS syntax and selectors
    Styling text, colors, and backgrounds
    Lesson 4: Working with CSS Layouts
    Introduction to CSS box model
    Building simple layouts using CSS floats and positioning

    Module 3: Introduction to JavaScript

    Lesson 5: Basics of JavaScript
    Introduction to JavaScript
    Variables, data types, and operators
    Control flow and loops
    Lesson 6: DOM Manipulation with JavaScript
    Introduction to the Document Object Model (DOM)
    Manipulating DOM elements with JavaScript

    Module 4: Introduction to React JS

    Lesson 7: What is React JS?
    Overview of React JS and its advantages
    Introduction to React components
    Lesson 8: Setting Up a React Project
    Installing Node.js and npm
    Creating a new React project using Create React App

    Module 5: Fundamentals of React Components

    Lesson 9: Functional Components
    Introduction to functional components in React
    Creating and rendering functional components
    Lesson 10: JSX Syntax
    Understanding JSX syntax
    Embedding JavaScript expressions in JSX

    Module 5: State and Props in React

    Lesson 11: State Management in React
    Introduction to state in React components
    Managing state using use State hook
    Lesson 12: Props and Prop Types
    Passing data between components using props
    Validating props using Prop Types

    Module 6: Handling Events and Forms

    Lesson 13: Event Handling in React
    Handling events in React components
    Updating state based on user interactions
    Lesson 14: Forms in React
    Creating controlled forms in React
    Handling form submission and validation

    Module 7: Styling in React

    Lesson 15: CSS Styling in React
    Different methods of styling React components
    Inline styles and CSS modules
    Lesson 16: Styled Components
    Introduction to styled-components library
    Creating styled components for enhanced styling

    Module 8: React Router

    Lesson 17: Introduction to React Router
    Setting up React Router for navigation
    Implementing basic routing in React applications

    Module 9: Project
    Building a Simple React Application
    Applying concepts learned throughout the course to build a small project
    Creating layouts, forms, and navigation using React components

     

    JAVA Programming

    Demo Lecture

    Course Curriculum

    1. Introduction
    2. Installing the Softwares & First Program
    3. Variables and Data Types
    4. Arithmetic Operators
    5. User Inputs
    6. If-Else Condition
    7. Loops
    8. Loops Practice
    9. Break and continue
    10. Methods
    11. Classes and Objects
    12. packages
    13. Getter and Setters
    14. inheritance
    15. interface
    16. Methods Overloading
    17. Abstract Classes
    18. polymorphism
    19. This and super Keyword
    20. Try, Catch and Finally
    21. Checked and Unchecked Exceptions
    22. Throw and Throws Keyword
    23. Multi threading in JAVA
    24. Methods of Thread
    25. Life Cycle of Thread
    26. Thread Priority
    27. Access Modifiers
    28. Arrays
    29. 2D Array
    30. Collective Framework
    31. Recursion
    32. File Handling
    33. Char System, Byte Stream and Buffered Stream
    34. Project

    Machine Learning

    Demo Lecture

    Course Curriculum

    1. Introduction to Machine Learning:
    • Definition and basic concepts
    • Types of machine learning: supervised, unsupervised, and reinforcement learning
    1. Mathematics for Machine Learning
    • Linear algebra
    • Calculus
    • Probability and statistics
    1. Python Programming:
    • Basics of Python
    • Libraries for data manipulation and visualization: NumPy, Pandas, matplotlib, and Seaborn
    1. Data Pre-processing:
    • Data cleaning
    • Feature scaling
    • Handling missing data
    1. Supervised Learning:
    • Linear regression
    • Logistic regression
    • Decision trees
    • Random forests
    1. Model Evaluation and Validation:
    • Cross-validation
    • Bias-variance trade-off
    • Evaluation metrics: accuracy, precision, recall, F1-score
    1. Unsupervised Learning:
    • K-means clustering
    • Hierarchical clustering
    • Principal Component Analysis (PCA)
    1. Feature Engineering:
    • Feature selection
    • Feature extraction
    • Dimensionality reduction techniques
    1. Advanced Regression Techniques:
    • Ridge regression
    • Lasso regression
    • Elastic Net regression
    1. Natural Language Processing (NLP):
    • Text pre-processing
    • Bag-of-Words model
    • Word embeddings: Word2Vec, GloVe
    1. Deep Learning Fundamentals:
    • Neural network architecture
    • Activation functions
    • Backpropagation algorithm
    1. Convolutional Neural Networks (CNNs):
    • Architecture of CNNs
    • Convolutional layers
    • Pooling layers
    1. Recurrent Neural Networks (RNNs):
    • Architecture of RNNs
    • Long Short-Term Memory (LSTM)
    • Gated Recurrent Units (GRU)
    1. Generative Adversarial Networks (GANs):
    • Introduction to GANs
    • Training GANs
    • Applications of GANs
    1. Deployment and Model Optimization: (if possible)
    • Model deployment using frameworks like TensorFlow Serving or Flask
    • Model optimization techniques
    • Scaling machine learning models
    1. Special Topics in Machine Learning:
    • Reinforcement learning algorithms: Q-learning, Deep Q Network (DQN)
    • Time series forecasting
    • Anomaly detection techniques
    1. Project 
    2. How to use Kaggle Platform

    MERN Full Stack

    Demo Lecture - 1

    Demo Lecture - 2

    Course Curriculum

    1. Front-End (HTML, CSS, JS, React JS)

    Module 1: Introduction to Web Development

    Lesson 1: Understanding the Basics of Web Development
    What is web development?
    Overview of front-end vs. back-end development
    Lesson 2: Introduction to HTML
    What is HTML?
    Basic structure of an HTML document
    Tags, elements, and attributes

    Module 2: Building Layouts with CSS

    Lesson 3: Introduction to CSS
    What is CSS?
    Basic CSS syntax and selectors
    Styling text, colors, and backgrounds
    Lesson 4: Working with CSS Layouts
    Introduction to CSS box model
    Building simple layouts using CSS floats and positioning

    Module 3: Introduction to JavaScript

    Lesson 5: Basics of JavaScript
    Introduction to JavaScript
    Variables, data types, and operators
    Control flow and loops
    Lesson 6: DOM Manipulation with JavaScript
    Introduction to the Document Object Model (DOM)
    Manipulating DOM elements with JavaScript

    Module 4: Introduction to React JS

    Lesson 7: What is React JS?
    Overview of React JS and its advantages
    Introduction to React components
    Lesson 8: Setting Up a React Project
    Installing Node.js and npm
    Creating a new React project using Create React App

    Module 5: Fundamentals of React Components

    Lesson 9: Functional Components
    Introduction to functional components in React
    Creating and rendering functional components
    Lesson 10: JSX Syntax
    Understanding JSX syntax
    Embedding JavaScript expressions in JSX

    Module 5: State and Props in React

    Lesson 11: State Management in React
    Introduction to state in React components
    Managing state using use State hook
    Lesson 12: Props and Prop Types
    Passing data between components using props
    Validating props using Prop Types

    Module 6: Handling Events and Forms

    Lesson 13: Event Handling in React
    Handling events in React components
    Updating state based on user interactions
    Lesson 14: Forms in React
    Creating controlled forms in React
    Handling form submission and validation

    Module 7: Styling in React

    Lesson 15: CSS Styling in React
    Different methods of styling React components
    Inline styles and CSS modules
    Lesson 16: Styled Components
    Introduction to styled-components library
    Creating styled components for enhanced styling

    Module 8: React Router

    Lesson 17: Introduction to React Router
    Setting up React Router for navigation
    Implementing basic routing in React applications

    Module 9: Project
    Building a Simple React Application
    Applying concepts learned throughout the course to build a small project
    Creating layouts, forms, and navigation using React components

    2. Back-End Development (Express JS, Node JS, Mongo DB)

    Module 1: Introduction to Backend Development and Node.js

    Overview of backend development
    Importance of backend in web development Backend technologies and their role
    What is Node.js?
    Installation and setup
    Understanding Node.js architecture
    JavaScript fundamentals review
    Node.js modules and CommonJS syntax
    Asynchronous programming with callbacks

    Module 2: Building Web Servers with Node.js

    Defining routes in Node.js
    Introduction to package.json and npm packages.
    HTTP request and response.
    Handling different HTTP methods (GET, POST, PUT, DELETE)
    Parsing request parameters and payloads
    Static file hosting, server side rendering, Web APIs
    Passing data from backend to frontend

    Module 3: Building Web Servers with Express.js

    What is Express.js?
    Why use Express.js for web development?
    Installing Express.js and setting up a project
    Defining routes in Express.js
    Handling different HTTP methods (GET, POST, PUT, DELETE)
    Parsing request parameters and payloads
    API Endpoints
    Understanding middleware concept
    Implementing custom middleware
    Using third-party middleware (body-parser, morgan, etc.)
    Integrating template engines like EJS or Pug
    Rendering dynamic content in views
    Passing data from backend to frontend

    Module 4: Building RESTful APIs

    What are RESTful APIs?
    Understanding RESTful principles (resources, methods, status codes, etc.)
    Benefits of RESTful architecture
    Designing API endpoints
    Implementing CRUD operations for resources
    Handling request validation and error responses
    Securing APIs with middleware

    Module 5: Working with MongoDB

    What is MongoDB?
    Comparing MongoDB with SQL databases
    Installing and setting up MongoDB
    Performing CRUD operations (Create, Read, Update, Delete)
    Using MongoDB shell for command line interface
    Using MongoDB Compass for visual interaction
    Introduction to MongoDB Atlas for cloud-based database hosting
    Introduction to Mongoose
    Connecting Node.js to MongoDB using Mongoose
    Defining models and schemas in Mongoose
    Performing advanced queries (aggregation, indexing, etc.)
    Working with embedded documents and arrays

    Module 6: Testing and Deployment

    Introduction to unit testing
    Setting up Jest for testing Node.js applications
    Writing unit tests for backend components
    Overview of integration testing
    Using SuperTest for testing Express.js APIs
    Writing integration tests for API endpoints
    Introduction to dotenv
    Implementation of dotenv package for port number, password etc
    Choosing a deployment platform (Heroku, AWS, etc.)
    Preparing the application for production
    Deploying the backend application

    Module 7: Best Practices and Advanced Topics

    Implementing error handling middleware
    Logging best practices with Winston or similar libraries
    Handling uncaught exceptions and promise rejections
    Identifying performance bottlenecks in Node.js applications
    Techniques for improving performance (caching, load balancing, etc.)
    Monitoring and profiling Node.js applications
    Introduction to WebSocket protocol
    Implementing real-time features with Socket.IO
    Building chat applications and other real-time experiences
    Introduction to Docker and containerization
    Dockerizing a Node.js application
    Managing containers with Docker Compose

    Module 8: Project

    Python Programming

    Demo Lecture

    Course Curriculum

    Module 1: Introduction to Python
    What is Python?
    Setting up Python environment (installation of Python, IDEs)
    Writing your first Python program
    Understanding Python syntax and indentation

    Module 2: Variables and Data Types
    Variables and assignment
    Data Types
    Type conversion (casting)
    Working with strings: string manipulation, slicing

    Module 3: Control Flow
    Conditional statements: if, elif, else
    Logical operators
    Loops
    Loop control statements: break, continue

    Module 4: Data Structures
    Lists: creating lists, accessing elements, list methods
    Tuples: creating tuples, accessing elements
    Dictionaries: creating dictionaries, accessing elements, dictionary methods

    Module 5: Functions
    Defining and calling functions
    Parameters and arguments
    Return statement
    Scope of variables: global vs local

    Module 6: File Handling
    Opening and reading files
    Writing to files
    File modes: read, write, append

    Module 7: Error Handling
    Understanding exceptions
    try-except blocks
    Handling specific exceptions
    finally block

    Module 8: Introduction to Object-Oriented Programming (OOP)
    Classes and objects
    Attributes and methods
    Constructor (in it method)
    Inheritance and polymorphism

    Module 9: Introduction to Modules and Packages
    Creating and using modules
    Importing modules
    Creating and installing packages

    Module 10: Introduction to Libraries
    Overview of popular Python libraries (e.g., NumPy, Pandas, Matplotlib)
    Installing and importing libraries
    Basic usage examples

    Module 11: Project

    Structured Query Language (SQL)

    Demo Lecture

    Course Curriculum

    Module 1 – Introduction to Relational Databases and SQL

    1: Fundamentals of Databases

    • What are Databases? Types and Applications
    • Relational Database Concepts (Tables, Keys, Relationships)
    • Overview of SQL

    2: Setting Up Databases

    • Installing MySQL

    3: Basic SQL Commands

    • Writing SQL Queries: SELECT, FROM, WHERE
    • Filtering Data: Operators and Wildcards

    4: Aggregation and Grouping

    • Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
    • GROUP BY and HAVING Clauses


    Module 2 – SQL Operations Across Databases

    1: Data Manipulation in SQL

    • INSERT, UPDATE, DELETE Statements
    • Working with Primary and Foreign Keys

    2: Joining Tables and Subqueries

    • Types of Joins: INNER, LEFT, RIGHT, FULL OUTER
    • Writing Subqueries: Inline and Correlated

    3: Data Constraints and Schema Design

    • Defining Constraints: NOT NULL, UNIQUE, CHECK
    • Creating and Altering Tables

    Module 3 – Advanced SQL Concepts

    1: Views and Indexing

    • Creating and Managing Views
    • Indexes for Performance Optimization

    2: Transactions and Error Handling

    • ACID Properties and Transactions
    • COMMIT, ROLLBACK, SAVEPOINT
    • Error Handling in Oracle and PostgreSQL

    Module 4 – Database-Specific Features

    1: MySQL Advanced Features

    • Working with JSON Data
    • Stored Procedures and Triggers

    2: PostgreSQL Advanced Features

    • Working with JSONB and Arrays
    • Using PL/pgSQL for Procedural Programming

    3: Oracle Advanced Features

    • Using PL/SQL for Stored Procedures and Triggers
    • Cursors and Error Handling

    Module 5 – SQLite and Lightweight Databases

    1: Introduction to SQLite

    • What is SQLite? Use Cases and Features
    • Creating and Managing SQLite Databases

    2: SQLite Advanced Operations

    • Working with JSON and Text Data in SQLite
    • Optimizing SQLite Queries

    Module 6 – Python Connectivity with Databases

    1: Python and MySQL

    • Setting Up MySQL Connector for Python
    • Performing CRUD Operations in MySQL Using Python

    2: Python and PostgreSQL

    • Setting Up psycopg2 for PostgreSQL
    • Query Execution and Error Handling in Python

    3: Python and SQLite

    • Using SQLite in Python with sqlite3 Module
    • Building SQLite Databases Dynamically

    Module 7 – Integration Projects and Optimization

    1: Integrating Multiple Databases

    • Connecting Python to Multiple Databases Simultaneously
    • Data Migration Between Databases

    2: Query Optimization Techniques

    • Understanding Query Execution Plans
    • Indexing Strategies Across Databases

    Project

    UI / UX Designing

    Demo Lecture

    Course Curriculum

    1. Introduction to UI/UX Design
    – Definition of UI and UX
    – Importance of UI/UX in product development
    – Career opportunities in UI/UX design

    2. Fundamentals of Design
    – Principles of design (balance, contrast, alignment, proximity, etc.)
    – Color theory and psychology
    – Typography basics
    – Composition and layout

    3. User Research
    – Understanding user needs and behaviors
    – Methods of user research (surveys, interviews, personas, etc.)
    – User journey mapping
    – Usability testing

    4. Wireframing and Prototyping
    – Introduction to wireframing tools (Sketch, Adobe XD, Figma, etc.)
    – Creating low-fidelity wireframes
    – Prototyping tools and techniques
    – Interactive prototyping

    5. Visual Design for UI
    – Visual hierarchy
    – Iconography and symbolism
    – Creating UI elements (buttons, forms, navigation bars, etc.)
    – Designing for different screen sizes and resolutions

    6. Interaction Design
    – Principles of interaction design
    – Microinteractions
    – Gestalt principles
    – Designing for touch and gesture

    7. Accessibility in Design
    – Understanding accessibility guidelines (WCAG)
    – Designing for users with disabilities
    – Assistive technologies
    – Inclusive design principles

    8. UI Animation
    – Basics of motion design
    – Principles of UI animation
    – Adding animations to enhance user experience
    – Tools for creating UI animations (Principle, Adobe After Effects, etc.)

    9. Responsive Design
    – Responsive web design principles
    – Fluid grids and flexible images
    – Media queries
    – Mobile-first design approach

    10. Portfolio Development
    – Building a UI/UX design portfolio
    – Showcasing projects and case studies
    – Presentation skills

    11. Industry Tools and Trends
    – Overview of industry-standard tools and software
    – Staying updated with current design trends
    – Continuous learning resources

    12. Final Project
    – Applying learned concepts to a real-world project
    – Working through the design process from research to prototyping

    WordPress Web Development

    Demo Lecture

    Course Curriculum

    1. Overview – Introduction to WordPress
    2. Hosting, Domains & Basic Setup
    3. WordPress Dashboard Overview
    4. Installing Plugins & Theme
    5. Theme Customize Options
    6. Introduction to Elementor + Global Fonts & Colors
    7. Building Our First Page with Elementor
    8. Mobile Responsiveness
    9. Header & Footer with Astra
    10. Templates in Elementor
    11. Pop-Ups in Elementor + Adding Custom Code
    12. Header & Footer with Elementor
    13. Creating About Page
    14. Contact Us Page & Custom CSS
    15. Google Sheets Integration for Contact Form 7
    16. Posts/Blogs in WordPress + Post SEO
    17. Creating Blog Page
    18. Creating Single Post Layout Template
    19. Introduction to WooCommerce + WooCommerce Overview
    20. Products in WooCommerce
    21. Creating Single Product Layout Template
    22. Customizing Shop Page
    23. Payments Settings
    24. Coupons in WooCommerce
    25. Editing Fields in WooCommerce Checkout
    26. WooCommerce Emails Customization
    27. Tracking the Status of Orders in WooCommerce
    28. Using Cartflows
    29. Adding Privacy Policy
    30. Website Performance Optimization
    31. Website Security
    32. Custom Post in WordPress
    33. Doing Website SEO
    34. Indexing on Google
    35. Sub-Domains and Directories
    36. Duplicating a WordPress Website
    37. Editing Theme Functions

    Email Formatting

    Demo Lecture

    *Add-on includes only a completion certificate. For an Internship Certificate, join Professional Path Booster course.

    Course Curriculum

    Module 1: Introduction to Professional Email Communication

    • The Role of Email in Business Communication
      • Why Email Communication is Crucial in the Workplace
      • Benefits of Writing Clear and Effective Emails
    • Common Email Challenges
      • Miscommunication in Emails
      • Avoiding Overload and Clutter

    Module 2: Fundamentals of Email Formatting

    • Anatomy of a Professional Email
      • Subject Line: Writing Attention-Grabbing and Relevant Titles
      • Salutations and Openings: Setting the Right Tone
      • Structuring the Body for Clarity and Readability
      • Closing and Signatures: Ending with Impact
    • Formatting Best Practices
      • Choosing the Right Fonts, Colors, and Layouts
      • Structuring Emails for Scannability with Bullet Points and White Space

    Module 3: Crafting Compelling Subject Lines and Openings

    • Subject Lines
      • Importance of First Impressions in Subject Lines
      • Crafting Subject Lines for Different Objectives: Information, Urgency, and Promotions
    • Email Openings
      • Writing Engaging and Purpose-Driven Introductions
      • Connecting with the Reader Immediately

    Module 4: Writing Clear and Concise Email Content

    • The Art of Persuasive Writing in Emails
      • Focusing on the Reader’s Needs (WIIFM – What’s In It For Me)
      • Writing for Action and Engagement
    • Structuring Emails Effectively
      • The AIDA Framework: Attention, Interest, Desire, Action
      • Maintaining Brevity without Losing Impact

    Module 5: Tone, Language, and Voice in Emails

    • Setting the Right Tone
      • Formal, Semi-Formal, and Informal Styles
      • Balancing Professionalism with Approachability
    • Avoiding Common Pitfalls
      • Misinterpreted Words and Ambiguity
      • Managing Tone for Sensitive Topics
    • Consistent Brand Voice
      • Aligning Emails with Company Values and Messaging

    Module 6: Email Formatting Essentials

    • Professional Email Etiquette
      • Using CC, BCC, and Reply All Effectively
      • Forwarding Emails with Proper Context
    • Working with Attachments and Links
      • Best Practices for File Attachments (Naming, Size, Compatibility)
      • Hyperlinking Text and Ensuring Link Functionality
    • Email Response Strategies
      • Handling Delayed Responses: When and How to Follow Up
      • Managing High Email Volume Efficiently
      • Setting Up Auto-Responses and Out-of-Office Replies

     

    Module 7: Copywriting Techniques for Email Campaigns

    • Understanding the Audience
      • Segmenting Audiences for Personalized Messaging
      • Using Data to Tailor Emails
    • Writing Headlines and Body Copy
      • Crafting Headlines that Spark Curiosity
      • Designing Emails to Drive Action (CTAs)
    • Creating Effective Email Campaigns
      • Writing for Marketing, Sales, and Updates
      • Best Practices for Promotional vs. Informative Emails

    Module 8: Proofreading and Editing Emails

    • Why Proofreading Matters
      • Spotting Grammar, Punctuation, and Formatting Errors
      • Reviewing Content for Clarity and Impact
    • Tools for Editing
      • Leveraging Grammar Checkers and AI Writing Assistants
      • Checklist for Final Review

    Module 9: Specialized Scenarios in Email Communication

    • Internal Communication Templates
      • Writing Updates and Announcements
      • Requesting Information or Assistance
    • External Communication Templates
      • Responding to Clients and Stakeholders Professionally
      • Sending Proposals, Quotes, and Follow-Ups
    • Handling Challenging Situations
      • Writing Apologies
      • Managing Disputes via Email

    Module 10: Ensuring Compliance and Security in Emails

    • Company Email Policies
      • Understanding Rules for Email Usage
      • Avoiding Misuse of Official Email Accounts
    • Email Security Essentials
      • Identifying Phishing and Spam
      • Safeguarding Sensitive Information

    Excel - Basic to Professional

    Demo Lecture

    *Add-on includes only a completion certificate. For an Internship Certificate, join Professional Path Booster course.

    Course Curriculum

    Module 1: Introduction to Excel

    • Overview of Excel Interface
      • Workbook, Worksheets, and Cells
      • Ribbon, Tabs, and Quick Access Toolbar
      • Workbook Management (Open, Save, New, Close)
    • Basic Excel Operations
      • Creating and Saving Workbooks
      • Navigating Cells, Rows, and Columns
      • Entering Data: Text, Numbers, and Dates
      • Formatting Cells: Fonts, Alignment, and Number Formats

    Module 2: Basic Formulas and Functions

    • Basic Formulas
      • SUM, AVERAGE, COUNT, COUNTA
      • Basic Arithmetic Operations: +, -, *, /
      • Using Parentheses for Formula Order
    • Cell Referencing
      • Relative vs. Absolute Referencing (e.g., A1 vs. $A$1)
      • Mixed Referencing (e.g., $A1, A$1)

    Module 3: Data Management and Formatting

    • Data Types
      • Text, Number, Date, Time formats
      • Custom Formats
    • Cell Formatting
      • Adjusting Column Width and Row Height
      • Borders, Backgrounds, and Color Formatting
      • Conditional Formatting (Basic Highlighting, Data Bars)
    • Text Functions 
      • CONCATENATE, LEFT, RIGHT, MID
      • TEXT, LEN, FIND, REPLACE

    Module 4: Data Analysis Tools

    • Sorting and Filtering
      • Sorting Data in Ascending/Descending Order
      • Filtering Data with AutoFilter
      • Advanced Filters: Custom Criteria
    • Data Validation
      • Setting Up Data Validation Rules
      • List Validation, Date Validation
      • Creating Drop-Down Lists
    • Tables and Structured References
      • Creating and Formatting Tables
      • Sorting and Filtering within Tables
      • Using Structured References

    Module 5: Advanced Functions

    • Lookup Functions
      • VLOOKUP, HLOOKUP
      • INDEX, MATCH, and combining INDEX-MATCH for dynamic lookups
      • XLOOKUP (Excel 365 feature)
    • IF Functions
      • Basic IF Statement
      • Nested IF Functions
      • IFERROR, IFS
    • Logical Functions
      • AND, OR, NOT
      • Combining Logical Functions with IF statements
    • Text Functions
      • TEXT, CONCAT, TEXTJOIN

    Module 6: Working with Charts

    • Introduction to Charts
      • Types of Charts (Bar, Line, Pie, etc.)
      • Inserting and Customizing Charts
      • Chart Formatting and Data Labels
    • Advanced Charting Techniques
      • Combo Charts
      • Secondary Axes
      • Sparklines

    Module 7: PivotTables and PivotCharts

    • Creating PivotTables
      • Organizing Data with PivotTables
      • Grouping Data
      • Summarizing Data using Sum, Average, Count, etc.
      • Filtering and Sorting PivotTables
    • PivotCharts
      • Creating and Customizing PivotCharts
      • Dynamic Filtering using Slicers

    Module 8: Advanced Data Analysis Tools

    • What-If Analysis
      • Goal Seek
      • Data Tables
      • Scenario Manager
    • Solver
      • Introduction to Solver
      • Using Solver for Optimization Problems
    • Power Query
      • Importing Data from External Sources (CSV, Web, etc.)
      • Transforming Data with Power Query Editor
      • Combining and Merging Data

    Module 9: Excel Macros and VBA

    • Introduction to Macros
      • Recording and Running Macros
      • Assigning Macros to Buttons
      • Simple Macro Editing (VBA editor basics)
    • VBA Programming for Excel
      • Introduction to VBA Syntax
      • Writing Simple VBA Code
      • Variables, Loops, and Conditional Statements

    Module 10: Excel Tips, Tricks, and Shortcuts 

    • Keyboard Shortcuts
      • Navigating Excel Quickly
      • Data Entry Shortcuts
      • Formatting Shortcuts
    • Excel Productivity Tips
      • Flash Fill
      • Using Templates
      • Freeze Panes and Split Screens
    • Protecting and Sharing Workbooks
      • Workbook and Worksheet Protection
      • Password Protection
      • Sharing Workbooks for Collaboration

    LinkedIn Mastery

    Demo Lecture

    *Add-on includes only a completion certificate. For an Internship Certificate, join Professional Path Booster course.

    Course Curriculum

    Module 1 – Introduction to LinkedIn Growth

    • Overview of LinkedIn as a professional platform
    • Why LinkedIn is crucial for personal branding and business growth
    • Understanding LinkedIn’s algorithm
    • Setting realistic goals for LinkedIn success

    Module 2 – Optimizing Your LinkedIn Profile for Growth

    • Crafting a compelling LinkedIn headline
    • Writing a powerful “About” section
    • Optimizing profile and background images
    • Enhancing experience and education sections
    • Using featured content to showcase expertise
    • Customizing your LinkedIn URL for better branding

    Module 3 – Building a Strong LinkedIn Network

    • Finding and connecting with the right audience
    • The art of personalized connection requests
    • Engaging with your network to increase visibility
    • Strategies for connecting with industry leaders and decision-makers
    • LinkedIn etiquette: Do’s and Don’ts

    Module 4 – Creating High-Engagement Content

    • Types of LinkedIn content that perform best
    • How to structure a viral LinkedIn post
    • The power of storytelling and personal experiences
    • Using LinkedIn polls, articles, and newsletters effectively
    • Best times to post for maximum engagement

    Module 5 – LinkedIn SEO & Visibility Optimization 

    • How to optimize your profile for LinkedIn search
    • Using keywords strategically in your headline, about section, and posts
    • LinkedIn profile ranking factors
    • How to appear in more search results and profile suggestions

    Module 6 – LinkedIn Engagement & Growth Strategies

    • The importance of comments and interactions
    • Strategies for increasing post reach and engagement
    • Engaging with influencers and trending posts
    • How to start and grow a LinkedIn group
    • Engaging members with valuable discussions
    • Turning groups into lead-generation opportunities
    • Community management best practices
    • Leveraging LinkedIn hashtags and mentions

    Module 7 – Leveraging LinkedIn for Lead Generation

    • Identifying and targeting potential leads
    • Writing effective LinkedIn messages that get responses
    • How to avoid being seen as “spammy”
    • Structuring outreach for cold leads, warm leads, and partnerships
    • How to follow up without being annoying
    • Using LinkedIn Search and Sales Navigator
    • Strategies for effective outreach without being salesy
    • Automating LinkedIn lead generation (Do’s and Don’ts)
    • Converting LinkedIn connections into business opportunities

    Module 8 – LinkedIn Analytics & Performance Tracking

    • Understanding LinkedIn profile analytics
    • Measuring the success of your content strategy
    • Identifying what works and what doesn’t

    Module 9 – LinkedIn Growth Case Studies & Real-World Applications

    • Analyzing real-life LinkedIn success stories
    • Hands-on exercises and live profile audits
    • Developing a 30-day LinkedIn growth plan
    • Networking with industry experts and peers

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