Course Description

This comprehensive Full Stack Web Development course is designed to equip students with both front-end and back-end skills necessary to build responsive, dynamic, and modern websites and web applications. Starting from the basics of HTML and CSS, learners will progress through JavaScript, frontend frameworks, server-side programming, and database integration. The course emphasizes hands-on projects, real-world scenarios, and collaborative development practices like Git and version control.Whether you're a beginner or someone looking to enhance your skills, this course lays the foundation for a career in web development, freelance opportunities, or startup ventures.

Curriculum

• Module 1: Introduction to Web Development
  • What is Web Development?
  • Roles: Frontend vs Backend vs Full Stack
  • Tools and IDE setup
• Module 2: HTML5 & CSS3
  • Structure of HTML pages
  • Tags, attributes, forms
  • CSS fundamentals
  • Flexbox, Grid, and Responsive Design
  • CSS Framework: Bootstrap
• Module 3: JavaScript Programming
  • Syntax, Variables, Data Types
  • Operators and Control Structures
  • Functions and Events
  • DOM Manipulation
  • ES6+ Features (let/const, arrow functions, template literals)
• Module 4: Frontend Framework (React.js or Vue.js)
  • Introduction to Components
  • State and Props
  • Hooks (React) or Lifecycle Methods (Vue)
  • Routing and Form Handling
• Module 5: Version Control with Git
  • Git basics (init, add, commit)
  • GitHub collaboration
  • Branching and Pull Requests
• Module 6: Backend Development with Node.js and Express
  • Node.js Introduction
  • Express.js Basics
  • Routing, Middleware
  • RESTful API development
• Module 7: Database Integration
  • Introduction to Databases
  • MongoDB (NoSQL) or MySQL (SQL)
  • CRUD Operations
  • Mongoose or Sequelize
• Module 8: Authentication & Security
  • User Signup/Login
  • JWT or Session-based Authentication
  • Security Best Practices
• Module 9: Deployment & Hosting
  • Hosting Frontend and Backend
  • Using Netlify, Vercel, Render, or Heroku
  • Environment Variables and Secrets
• Module 10: Capstone Project
  • Planning a full-stack web app
  • Building from scratch
  • Presentation and peer review

Fee Structure

Course Description

This Artificial Intelligence (AI) course offers a deep dive into the fundamentals, techniques, and real-world applications of AI. It covers both theoretical foundations and hands-on implementation of machine learning, deep learning, natural language processing, and computer vision. Designed for students, developers, and professionals, this course provides the skills needed to build intelligent systems and understand the ethical and societal implications of AI. Participants will explore AI tools and frameworks such as Python, TensorFlow, and scikit-learn, and build intelligent solutions through practical projects and case studies across industries like healthcare, finance, e-commerce, and robotics.

Curriculum

• Module 1: Introduction to Artificial Intelligence
  • What is AI?
  • RHistory and types of AI (Narrow, General, Super AI)
  • AI vs Machine Learning vs Deep Learning
  • Applications of AI in real life
• Module 2: Python for AI
  • Python Basics and Syntax
  • Libraries: NumPy, pandas, matplotlib, seaborn
  • CSS fundamentals
  • Data cleaning, preprocessing, and visualization
• Module 3: Machine Learning (ML) Fundamentals
  • Supervised vs Unsupervised Learning
  • Linear & Logistic Regression
  • Decision Trees and Random Forests
  • KNN, Naive Bayes, and SVM
  • Clustering (K-Means, Hierarchical)
• Module 4: Deep Learning & Neural Networks
  • Neural Networks architecture
  • Activation functions
  • Forward & Backpropagation
  • Deep Learning using TensorFlow and Keras
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
• Module 5: Natural Language Processing (NLP)
  • Text preprocessing (Tokenization, Lemmatization)
  • Sentiment analysis and topic modeling
  • Bag of Words, TF-IDF, Word Embeddings
  • Chatbots and Language Models (BERT, GPT overview)
• Module 6: Computer Vision
  • Image processing with OpenCV
  • Object detection and image classification
  • Face recognition
  • CNN Projects: Digit recognition, Image filtering
• Module 7: Model Evaluation & Deployment
  • Confusion matrix, precision, recall, F1-score
  • Saving and loading models
  • Deploying with Flask/Streamlit
• Module 8: Ethics & Future of AI
  • Bias and fairness in AI
  • Explainable AI
  • AI in Society: Opportunities and Risks
  • Career paths and future trends
• Module 9: Capstone Project
  • Choose a domain (e.g., Healthcare, Finance, E-commerce)
  • Design and develop an AI model
  • Evaluate and deploy the solution
  • Present the project with documentation

Fee Structure

Course Description

This Cybersecurity course offers a comprehensive exploration of how to protect systems, networks, and data from cyber threats. The curriculum is designed to build knowledge from the ground up—covering core security principles, threat detection, ethical hacking, cryptography, and hands-on security practices. Whether you’re an aspiring cybersecurity analyst, IT professional, or business leader, this course will help you understand how to identify vulnerabilities, prevent attacks, and secure digital environments using industry best practices and tools.

Curriculum

• Module 1: Introduction to Cybersecurity
  • What is Cybersecurity?
  • Goals: CIA Triad (Confidentiality, Integrity, Availability)
  • Overview of the Cyber Threat Landscape
  • Career Paths in Cybersecurity
• Module 2: Networking Basics
  • OSI Model and TCP/IP
  • IP Addressing, Subnetting
  • Protocols: HTTP, HTTPS, FTP, DNS, DHCP
  • Network Devices: Routers, Switches, Firewalls
• Module 3: Threats, Attacks, and Vulnerabilities
  • Types of attacks: Malware, Phishing, DDoS, SQL Injection
  • Vulnerability assessments
  • Zero-Day Exploits
  • Social engineering tactics
• Module 4: Securing Systems and Networks
  • Operating system hardening (Windows & Linux)
  • Antivirus, Firewalls, and Endpoint Protection
  • Network Access Control (NAC)
  • Intrusion Detection and Prevention Systems (IDS/IPS)
• Module 5: Cryptography and PKI
  • Symmetric vs Asymmetric encryption
  • Hashing algorithms (MD5, SHA)
  • Public Key Infrastructure (PKI)
  • SSL/TLS, Digital Certificates
• Module 6: Ethical Hacking & Penetration Testing
  • Ethical hacking principles
  • Kali Linux & Metasploit
  • Vulnerability Scanning (Nmap, Nessus)
  • Exploitation & privilege escalation
  • Reporting & remediation
• Module 7: Web and Cloud Security
  • OWASP Top 10 vulnerabilities
  • Securing APIs and databases
  • Introduction to Cloud Security (AWS, Azure, GCP)
  • IAM (Identity and Access Management) in the cloud
• Module 8: Cybersecurity Policies and Compliance
  • Risk Management and Security Policies
  • GDPR, HIPAA, NIST, ISO/IEC 27001
  • Access controls and audit logs
  • Security Awareness Training
• Module 9: Incident Response & Recovery
  • Phases of Incident Response (Preparation, Detection, Containment, Eradication, Recovery)
  • Forensics basics
  • Backup strategies and disaster recovery planning
• Module 10: Capstone Project
  • Conduct a simulated cyber attack and defend a network
  • Document vulnerabilities and mitigation steps
  • Final presentation and report

Fee Structure

Course Description

This Mobile App Development course is designed to equip learners with the practical skills and technical knowledge required to build fully functional Android and iOS applications. Covering both native and cross-platform development using tools like Flutter, React Native, and Android Studio, the course emphasizes user-centric design, clean code architecture, and real-world project development. By the end of the course, students will be able to plan, design, develop, test, and deploy mobile apps, preparing them for freelance opportunities, tech roles, or launching their own products.

Curriculum

• Module 1: Introduction to Mobile App Developmen
  • Mobile ecosystem: Android, iOS, Hybrid apps
  • Native vs Cross-platform development
  • Tools setup: Android Studio, VS Code, emulators
• Module 2: App Design Fundamentals
  • UI/UX for mobile
  • Wireframing tools (Figma/Adobe XD basics)
  • Material Design & Cupertino Design principles
  • Navigation patterns & responsive design
• Module 3: Native Android App Development (Optional Path A)
  • Android Studio basics
  • Activities, Fragments, and Layouts
  • Intents and lifecycle methods
  • Java/Kotlin basics
  • SQLite database integration
• Module 4: Cross-Platform Development with Flutter (Optional Path B)
  • Dart programming language
  • Flutter widget tree & UI components
  • Stateful vs Stateless widgets
  • Navigation, routing, and form validation
  • Firebase authentication & Firestore
  • Packages and plugins
• Module 5: Backend Integration & APIs
  • RESTful APIs: GET, POST, PUT, DELETE
  • SON parsing
  • HTTP libraries (Retrofit, Dio, or Fetch)
  • Firebase Realtime Database / Cloud Firestore
• Module 6: Device Features & Permissions
  • Camera, GPS, Notifications, and Sensors
  • Permissions handling (Android/iOS)
  • Media integration and file storage
• Module 7: Testing & Debugging
  • Debugging tools and breakpoints
  • Unit testing and widget testing (Flutter)
  • Emulator vs real device testing
• Module 8: App Deployment & Monetization
  • Preparing assets and icons
  • Generating app bundles (APK/AAB)
  • Play Store and App Store guidelines
  • In-app purchases, Ads (AdMob, Meta Audience Network)
• Module 9: Security and Best Practices
  • Data storage and encryption
  • Secure authentication
  • Clean code architecture (MVVM, BLoC, Provider)
  • Performance optimization
• Module 10: Capstone Project
  • Plan and build a complete app (e.g., To-do app, Food Delivery, Chat App)
  • Document features and architecture
  • Submit and publish to a store (optional)
  • Presentation/demo

Fee Structure

Course Description

TThis Data Science course provides a comprehensive journey into the world of data analysis, machine learning, and predictive modeling. Designed for aspiring data scientists, analysts, and AI enthusiasts, the course covers both the theoretical foundation and the hands-on implementation of modern data science techniques. Using powerful tools like Python, pandas, NumPy, scikit-learn, matplotlib, and SQL, learners will explore how to gather, clean, analyze, visualize, and model data to solve real-world business problems. Through case studies and capstone projects, students will gain the practical experience needed to build a portfolio and prepare for careers in data science and analytics.

Curriculum

• Module 1: Introduction to Data Science
  • Applications in different industries
  • Data Scientist roles & required skills
  • Overview of the data science pipeline
• Module 2: Python for Data Science
  • Python syntax and programming basics
  • Lists, dictionaries, loops, functions
  • Jupyter Notebook setup and usage
• Module 3: Working with Data (pandas & NumPy)
  • Reading CSV, Excel, and JSON files
  • DataFrames and Series
  • Data cleaning (handling nulls, duplicates, missing data)
  • NumPy for mathematical operations
• Module 4: Data Visualization
  • Line plots, bar charts, scatter plots, histograms
  • Advanced plots: heatmaps, boxplots, pair plots
  • Data storytelling and dashboard basics
• Module 5: Statistics and Probability
  • Mean, median, mode, variance, standard deviation
  • Probability distributions (normal, binomial)
  • Hypothesis testing (z-test, t-test, chi-square)
  • Correlation vs causation
• Module 6: Exploratory Data Analysis (EDA)
  • Detecting outliers and anomalies
  • Data transformation and scaling
  • Feature selection and importance
  • Insights extraction for business decisions
• Module 7: Machine Learning with scikit-learn
  • Linear Regression, Logistic Regression
  • Decision Trees, Random Forest, KNN, SVM
  • Clustering: K-Means and Hierarchical
  • Model evaluation: confusion matrix, accuracy, F1-score
• Module 8: SQL for Data Analysis
  • SQL syntax and commands
  • Filtering, grouping, and joining tables
  • Subqueries and nested queries
  • Using SQL in Python (via SQLite or MySQL connectors)
• Module 9: Model Deployment & Reporting
  • Saving models with pickle and joblib
  • Streamlit or Flask app for ML model
  • Hosting your project (Heroku, Render, etc.)
  • Reporting insights in a business-friendly format
• Module 10: Capstone Project
  • Choose a domain: healthcare, marketing, finance, etc.
  • End-to-end project using real datasets
  • Build, evaluate, and deploy a model
  • Submit report and presentation/demo

Fee Structure

Course Description

This Data Analytics course is designed to equip learners with the practical skills to analyze, visualize, and interpret data effectively. Whether you’re starting your data journey or looking to upskill for roles in business intelligence, finance, or marketing, this course provides a solid foundation in data handling, statistics, Excel, SQL, and visualization tools like Power BI and Tableau. You’ll learn to transform raw data into actionable insights using real-world case studies and hands-on projects. By the end, you’ll be confident in making data-driven decisions, building dashboards, and communicating results to stakeholders.

Curriculum

• Module 1: Introduction to Data Analytics
  • What is data analytics?
  • Types of analytics: descriptive, diagnostic, predictive, prescriptive
  • Analytics lifecycle: from raw data to insight
  • Career roles: Analyst, BI Developer, Data Consultant
• Module 2: Excel & Google Sheets for Data Analysis
  • Data cleaning and formatting
  • Lookup functions: VLOOKUP, HLOOKUP, INDEX-MATCH
  • Pivot tables and charts
  • Conditional formatting and data validation
  • Dashboard creation with slicers and pivot charts
• Module 3: SQL for Data Analytics
  • SQL basics: SELECT, WHERE, ORDER BY
  • GROUP BY, HAVING, and aggregate functions
  • JOINs (INNER, LEFT, RIGHT, FULL OUTER)
  • Subqueries and case statements
  • Using SQL in data tools (BigQuery, MySQL Workbench, etc.)
• Module 4: Data Visualization with Power BI & Tableau
  • Introduction to BI tools
  • Connecting and transforming data
  • Creating bar, line, pie, and map charts
  • Slicers, filters, and drill-down features
  • Building and publishing interactive dashboards
• Module 5: Descriptive Statistics & Data Interpretation
  • Measures of central tendency (mean, median, mode)
  • Correlation and trend analysis
  • Measures of dispersion (variance, standard deviation)
  • Hypothesis testing basics
• Module 6: Introduction to Python for Analytics (Optional)
  • Using pandas and NumPy for analysis
  • DataFrames and filtering
  • Visualization with matplotlib and seaborn
  • Exporting reports and automating tasks
• Module 7: Business Case Studies & Reporting
  • Marketing analytics: Campaign ROI
  • Sales analytics: Forecasting and segmentation
  • Financial analytics: Budget vs actual
  • KPI reporting and executive summaries
• Module 8: Capstone Project
  • Choose your industry focus (marketing, sales, HR, etc.)
  • Analyze a real dataset
  • Create a dashboard and present insights
  • Submit final report and executive summary

Fee Structure

Course Description

This C Programming Fundamentals course is designed to introduce learners to the world of programming using the C language — the foundation of many modern languages like C++, Java, and Python. C is renowned for its efficiency, speed, and control over system resources, making it ideal for understanding how computers work at the hardware level. Through a hands-on and structured approach, this course covers everything from basic syntax to advanced concepts like pointers and memory management. Learners will write clean, efficient code and build logic-driven programs while reinforcing computational thinking.

Curriculum

• Module 1: Introduction to C Programming
  • History and importance of C
  • Compiling and running a C program
  • Setting up development environment (Turbo C, GCC, Code::Blocks)
  • First “Hello World” program
• Module 2: Basic Syntax and Data Types
  • Keywords, identifiers, and variables
  • Data types: int, float, char, double
  • Constants and operators
  • Type casting and input/output (scanf, printf)
• Module 3: Control Structures
  • Decision-making: if, if-else, switch-case
  • Loops: for, while, do-while
  • Nested conditions and loops
  • Break, continue, and goto
• Module 4: Functions in C
  • Function declaration and definition
  • Argument passing: call by value
  • Recursion basics
  • Scope and storage classes
• Module 5: Arrays and Strings
  • One-dimensional and multi-dimensional arrays
  • Array operations (searching, sorting)
  • String handling (strlen, strcpy, strcat, strcmp)
  • Character arrays and standard string functions
• Module 6: Pointers and Memory Management
  • Introduction to pointers
  • Pointer arithmetic
  • Pointers and arrays
  • Dynamic memory allocation (malloc, calloc, realloc, free)
• Module 7: Structures and Unions
  • Defining and using structures
  • Nested structures and arrays of structures
  • Introduction to unions and typedef
  • Structure vs class (basic difference from OOP)
• Module 8: File Handling in C
  • Reading from and writing to files
  • File operations: fopen, fclose, fread, fwrite, fprintf, fscanf
  • File pointer manipulation (fseek, ftell)
• Module 9: Debugging and Best Practices
  • Common C errors and debugging tools
  • Using comments and clean code practices
  • Header files and modular programming
  • Preparing for technical interviews
• Module 10: Mini Projects
  • Number guessing game
  • Student record system
  • Simple calculator
  • File-based inventory or payroll system

Fee Structure

Course Description

This C Programming Fundamentals course is designed to introduce learners to the world of programming using the C language — the foundation of many modern languages like C++, Java, and Python. C is renowned for its efficiency, speed, and control over system resources, making it ideal for understanding how computers work at the hardware level. Through a hands-on and structured approach, this course covers everything from basic syntax to advanced concepts like pointers and memory management. Learners will write clean, efficient code and build logic-driven programs while reinforcing computational thinking.

Curriculum

• Module 1: Introduction to Data Structures
  • What is a Data Structure?
  • Importance of Data Structures in Programming
  • Abstract Data Types (ADTs)
  • Time and Space Complexity (Big O Notation)
• Module 2: Arrays and Strings
  • Static vs Dynamic Arrays
  • Array Operations (Insert, Delete, Search)
  • Two-dimensional Arrays
  • String Manipulation & Common String Algorithms
  • Sliding Window Technique
• Module 3: Linked Lists
  • Singly Linked List
  • Doubly Linked List
  • Circular Linked List
  • Applications and Problems
• Module 4: Stacks and Queues
  • Stack (Array and Linked List Implementation)
  • Infix, Prefix, Postfix Expressions
  • Queue (Simple, Circular, Deque)
  • Priority Queue
  • Applications (Undo feature, Task scheduling)
• Module 5: Recursion and Backtracking
  • Introduction to Recursion
  • Stack Memory in Recursion
  • Recursive Algorithms (Factorial, Fibonacci)
  • Backtracking (N-Queens, Sudoku Solver)
• Module 6: Searching and Sorting Algorithms
  • Linear Search, Binary Search
  • Bubble, Selection, Insertion Sort
  • Merge Sort, Quick Sort
  • Heap Sort
  • Time & Space Complexity Comparison
• Module 7: Trees
  • Binary Trees and Binary Search Trees
  • Tree Traversal (Inorder, Preorder, Postorder)
  • AVL Trees, B-Trees (Intro)
  • Heap (Min-Heap, Max-Heap)
  • Applications of Trees
• Module 8:Graphs
  • Graph Representations (Adjacency Matrix/List)
  • BFS and DFS
  • Dijkstra’s Algorithm, Bellman-Ford
  • Topological Sorting
• Module 9: Hashing
  • Hash Functions
  • Hash Tables and Collisions
  • Open Addressing vs Chaining
  • Applications (Dictionaries, Sets, Caching)
• Module 10: Advanced Data Structures (Optional/Advanced)
  • Tries (Prefix Trees)
  • Segment Trees and Fenwick Trees (Binary Indexed Trees)
  • Disjoint Set Union (DSU)
  • LRU Cache Design

Fee Structure

Course Description

This course introduces learners to the fundamentals of C++ programming, a powerful and widely-used language for systems programming, game development, competitive coding, and high-performance applications. Starting from basic syntax and progressing to object-oriented programming (OOP), the course emphasizes hands-on practice and problem-solving techniques. By the end of this course, students will be able to write efficient C++ programs, understand core programming concepts, and be prepared for more advanced topics like data structures, algorithms, and competitive programming.

Curriculum

• Module 1:Introduction to C++
  • History and Features of C++
  • Installing IDEs (Code::Blocks, VS Code, Dev C++)
  • Writing and Running (First Program)
  • Input and Output (cin, cout)
• Module 2:Variables, Data Types & Operators
  • Basic Data Types: int, float, char, bool
  • Constants and Type Modifiers (long, unsigned)
  • Constants and Type Modifiers (long, unsigned)
  • String Manipulation & Common String Algorithms
  • Sliding Window Technique
• Module 3:Control Structures
  • Conditional Statements: if, if-else, nested if
  • Switch-Case
  • Loops: for, while, do-while
  • Break, Continue, Goto
• Module 4:Functions
  • Stack Function Declaration and Definition
  • Function Overloading
  • Call by Value vs Call by Reference
  • Recursion
• Module 5: Arrays and Strings
  • 1D and 2D Arrays
  • Array Operations (Search, Insert, Delete)
  • Multidimensional Arrays
  • C-style Strings and String Functions
  • std::string (from C++ STL)
• Module 6: Pointers and Dynamic Memory
  • Basics of Pointers
  • Pointers and Arrays
  • new and delete Operators
  • Pointer to Pointer, Void Pointer
• Module 7: Object-Oriented Programming (OOP)
  • Classes and Objects
  • Constructors and Destructors
  • Access Specifiers (private, public, protected)
  • Encapsulation, Abstraction
• Module 8:Advanced OOP Concepts
  • Inheritance (Single, Multiple, Multilevel)
  • Polymorphism (Function and Operator Overloading, Virtual Functions)
  • Abstract Classes and Interfaces
  • Friend Functions and Static Members
• Module 9: File Handling
  • Reading from and Writing to Files
  • ifstream, ofstream, and fstream
  • File Pointers and Modes
  • Working with Text and Binary Files
• Module 10:Introduction to STL (Standard Template Library)
  • Vectors, Sets, Maps
  • Iterators
  • Algorithms and Sorting
  • Using STL for Competitive Programming

Fee Structure

Course Description

This course introduces learners to the fundamentals of Java programming, one of the most popular and versatile programming languages in the world. Whether you're a beginner or transitioning from another language, this course builds your skills in object-oriented programming, problem-solving, and application development. Learners will gain practical knowledge of Java syntax, control flow, data types, object-oriented principles, exception handling, and Java’s standard libraries — preparing them for advanced software engineering, Android development, or backend programming roles.

Curriculum

• Module 1:Introduction to Java
  • History and Features of Java
  • Setting up Java Development Kit (JDK) and IDE (IntelliJ, Eclipse, or VS Code)
  • First Java Program: Structure and Compilation
  • Java Virtual Machine (JVM), JRE, and JDK Explained
• Module 2:Variables, Data Types & Operators
  • Primitive and Non-Primitive Data Types
  • Type Casting and Type Conversion
  • Arithmetic, Relational, Logical, Assignment, Unary, and Ternary Operators
  • Constants and Final Variables
• Module 3:Control Flow Statements
  • Conditional Statements: if, if-else, switch
  • Looping Constructs: for, while, do-while
  • break, continue, and return statements
  • Nested Loops and Control Flow Diagrams
• Module 4: Arrays and Strings
  • Single and Multi-Dimensional Arrays
  • Array Operations (Search, Sort, Reverse)
  • String Class and StringBuilder
  • Common String Methods (length, charAt, substring, indexOf)
• Module 5: Methods and Recursion
  • Defining and Calling Methods
  • Method Parameters and Return Types
  • Method Overloading
  • Recursion Basics and Examples (Factorial, Fibonacci)
• Module 6:Object-Oriented Programming (OOP) Basics
  • Classes and Objects
  • Constructors and the this Keyword
  • Access Modifiers (public, private, protected, default)
  • Encapsulation and Abstraction
• Module 7:Advanced OOP Concepts
  • Inheritance (Single, Multilevel, Hierarchical)
  • Polymorphism (Compile-Time and Run-Time)
  • Abstract Classes and Interfaces
  • Static Members, Final Keyword, and Inner Classes
• Module 8:Exception Handling
  • Types of Errors (Compile-Time vs Run-Time)
  • try-catch-finally Block
  • throw and throws Keywords
  • Custom Exception Classes
• Module 9:Java Standard Libraries
  • java.util Package: ArrayList, HashMap, HashSet
  • java.time Package for Date and Time
  • Wrapper Classes (Integer, Double, etc.)
  • Autoboxing and Unboxing
• Module 10:File I/O and Basic Streams
  • File Handling using File, FileReader, FileWriter
  • BufferedReader and BufferedWriter
  • Reading/Writing Text Files
  • Introduction to Serialization

Fee Structure

Course Description

This course introduces the core concepts of programming using Python, a powerful and beginner-friendly language widely used in web development, data science, automation, artificial intelligence, and more. Learners will start with the basics of syntax and data types and progress toward writing clean, efficient, and functional Python code. Through hands-on exercises and real-world examples, students will learn how to build logic, manage data, and solve problems—laying the foundation for advanced topics such as machine learning, automation, and backend development.

Curriculum

• Module 1:Introduction to Python
  • What is Python? Features and Applications
  • Installing Python and IDE Setup (IDLE, VS Code, PyCharm)
  • Writing and Running Your First Python Program
  • Understanding Python Scripts and the Interpreter
• Module 2:Variables, Data Types, and Operators
  • Python Variables and Naming Conventions
  • Built-in Data Types: int, float, str, bool
  • Type Conversion and Type Checking
  • rithmetic, Assignment, Logical, and Comparison Operators
• Module 3:Control Flow and Loops
  • Conditional Statements: if, elif, else
  • Looping: for and while Loops
  • Range Function, break, continue, pass
  • >Nested Loops and Indentation
• Module 4:Data Structures
  • Lists: Creation, Indexing, Slicing, and Methods
  • Tuples and Sets
  • Dictionaries: Key-Value Pairs and Operations
  • Choosing the Right Data Structure
• Module 5: Functions and Scope
  • Defining and Calling Functions
  • Function Arguments (Positional, Default, Keyword, *args, **kwargs)
  • Return Values
  • Variable Scope: local, global, nonlocal
  • Lambda Functions and Built-in Methods
• Module 6:Strings and File Handling
  • String Indexing and Slicing
  • Common String Methods (lower, upper, replace, find, split)
  • Reading from and Writing to Text Files
  • Working with File Paths and Exceptions
• Module 7:Exception Handling
  • Understanding Errors and Exceptions
  • try, except, else, finally Blocks
  • Handling Multiple Exceptions
  • Creating Custom Exception
• Module 8:Object-Oriented Programming (OOP)
  • Classes and Objects in Python
  • init Method and Constructors
  • Instance vs Class Variables and Methods
  • Inheritance and Method Overriding
  • Encapsulation and Abstraction
• Module 9: Working with Libraries
  • Importing Modules (math, random, datetime)
  • Using pip to Install Third-party Packages
  • Introduction to NumPy and Pandas (Optional/Advanced)
  • Virtual Environments and Requirements.txt
• Module 10:Mini Projects and Practical Applications
  • Calculator Program
  • Simple To-Do List CLI App
  • File Organizer Script
  • Optional: Weather App using an API

Fee Structure

Course Description

This course provides a solid foundation in Structured Query Language (SQL) — the standard language for interacting with relational databases. Whether you're managing data, building reports, or developing applications, SQL is an essential skill. Through hands-on examples and exercises, learners will understand how to retrieve, manipulate, and manage data using SQL. The course emphasizes practical knowledge that is directly applicable to real-world data scenarios, including data filtering, aggregation, joins, subqueries, and database design principles.

Curriculum

• Module 1:Introduction to Databases & SQL
  • WWhat is a Database?
  • Introduction to RDBMS (Relational Database Management System)
  • Common RDBMS (MySQL, PostgreSQL, SQLite, Oracle)
  • SQL vs NoSQL
  • SQL Syntax and Statement Structure
• Module 2:Basic SQL Commands
  • SELECT, FROM, WHERE
  • Filtering Data with Operators (AND, OR, NOT)
  • Sorting Results with ORDER BY
  • Using DISTINCT to Eliminate Duplicates
  • Basic Aliasing with AS
• Module 3:Data Types and Constraints
  • CNULL vs NOT NULL
  • Primary Key, Foreign Key
  • Unique, Check, Default Constraints
• Module 4:SQL Functions
  • Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
  • Text Functions: UPPER(), LOWER(), CONCAT(), SUBSTRING()
  • Date and Time Functions
  • Mathematical Functions
• Module 5: Grouping and Aggregation
  • GROUP BY Clause
  • HAVING Clause vs WHERE
  • Multiple Aggregations in a Query
  • Use Cases: Reporting & Summarization
• Module 6:Table Joins
  • Understanding Table Relationships
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
  • Relf Joins and Cross Joins
  • Joining Multiple Tables
• Module 7: Subqueries and Nested Queries
  • Inline Subqueries (in SELECT, FROM, WHERE)
  • Correlated Subqueries
  • Using Subqueries with IN, EXISTS, NOT EXISTS
• Module 8: Data Manipulation Language (DML)
  • INSERT INTO – Adding New Data
  • iUPDATE – Modifying Existing Records
  • DELETE – Removing Records
  • Transaction Control: COMMIT, ROLLBACK, SAVEPOINT
• Module 9: Data Definition Language (DDL)
  • CREATE TABLE, ALTER TABLE, DROP TABLE
  • Adding/Modifying Columns and Constraints
  • Indexing and Performance Basics
• Module 10: Practical Applications and Projects
  • Building a Simple Relational Schema (ER Diagram → SQL)
  • Populating Tables with Sample Data
  • Writing Reports with Complex Queries
  • Mini Projects

Fee Structure

Course Description

This beginner-friendly course introduces learners to the essential building blocks of the web: HTML (HyperText Markup Language) and CSS (Cascading Style Sheets). HTML is used to structure content on the web, while CSS is used to control the appearance of that content. By the end of this course, students will be able to create well-structured web pages and style them with responsive layouts, colors, typography, and visual effects. This course lays the groundwork for front-end web development, preparing learners for JavaScript, frameworks like React, and full-stack development.

Curriculum

• Module 1: Introduction to Web Development
  • What is the Internet and how websites work
  • Introduction to front-end vs back-end
  • Overview of HTML, CSS, JavaScript
  • Tools Setup: Code Editor (VS Code), Web Browsers
• Module 2: HTML Basics
  • Structure of an HTML Document
  • FHTML Tags and Elements: html, head, body, title
  • Text Formatting Tags: h1–h6, p, br, hr
  • Lists: Ordered (ol) and Unordered (ul)
  • Links (a) and Anchors
• Module 3: HTML Page Structure
  • Image Tag (img) and Attributes (src, alt)
  • Tables and Layout (table, thead, tbody, tr, td)
  • Forms: form, input, textarea, select, button
  • Semantic HTML5: header, footer, nav, section, article, main
• Module 4: Introduction to CSS
  • What is CSS and how it works with HTML
  • TInline, Internal, and External CSS
  • CSS Syntax: Selectors, Properties, Values
  • pplying Colors, Fonts, Text Styling
• Module 5: CSS Box Model & Layout
  • Box Model: Margin, Border, Padding, Content
  • Width, Height, Max/Min Sizes
  • MDisplay Property: block, inline, inline-block, none
  • UPositioning Elements: static, relative, absolute, fixed, sticky
• Module 6: Advanced CSS Styling
  • Backgrounds: Color, Image, Repeat, Position, Cover
  • Border Radius, Box Shadow, Opacity
  • Transitions and Hover Effects
  • Responsive Units: %, em, rem, vw, vh
• MModule 7: Flexbox & CSS Grid
  • Introduction to Flexbox Layout Model
  • Properties: justify-content, align-items, flex-direction
  • Introduction to CSS Grid
  • Rows, Columns, Grid Gap
  • Building Layouts with Flexbox and Grid
• MModule 8: Responsive Web Design
  • Introduction to Media Queries
  • Mobile-First Design Principles
  • Responsive Images and Text
  • Using Developer Tools for Testing
• Module 9: Project Building
  • Project 1: Personal Portfolio Page
  • Project 2: Product Landing Page
  • Project 3: Responsive Navigation Bar
• Module 10: Best Practices and Deployment
  • Clean Code and HTML Validation
  • CSS Naming Conventions (BEM)
  • File Organization and Folder Structure
  • Hosting Static Websites (GitHub Pages, Netlify)

Fee Structure

Course Description

This Machine Learning course equips learners with the skills to build predictive models, automate decision-making, and solve real-world problems using data. Rooted in mathematics, statistics, and coding, this course provides both theoretical foundations and practical experience with real-world datasets. Using tools like Python, scikit-learn, pandas, and NumPy, you'll explore supervised and unsupervised learning, model evaluation, and deployment techniques. Whether you aim to become a data scientist, ML engineer, or AI researcher, this course is a stepping stone to mastering intelligent systems.

Curriculum

• Module 1: Introduction to Machine Learning
  • What is Machine Learning?
  • Types: Supervised, Unsupervised, Reinforcement Learning
  • Real-world applications in health, finance, e-commerce
  • Tools & libraries overview (Python, Jupyter, scikit-learn)
• Module 2: Python for Machine Learning
  • Python syntax refresher
  • NumPy for numerical computing
  • pandas for data manipulation
  • matplotlib and seaborn for visualization
• Module 3: Data Preprocessing
  • Handling missing values
  • Encoding categorical variables
  • Feature scaling (standardization, normalization)
  • Train-test split and cross-validation
• Module 4: Supervised Learning
  • Linear Regression for prediction
  • Logistic Regression for classification
  • Decision Trees & Random Forests
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
• Module 5: Model Evaluation and Metrics
  • Confusion matrix, accuracy, precision, recall, F1-score
  • ROC Curve and AUC
  • Overfitting vs underfitting
  • Cross-validation and grid search
• Module 6: Unsupervised Learning
  • Clustering: K-Means, DBSCAN
  • Dimensionality Reduction: PCA (Principal Component Analysis)
  • Customer segmentation and pattern discovery
• Module 7: Feature Engineering
  • IFeature extraction and selection
  • Handling multicollinearity
  • Creating new features using domain knowledge
• Module 8: Intro to Deep Learning (Optional)
  • Artificial Neural Networks (ANN) basics
  • Using TensorFlow/Keras for simple models
  • Image classification with CNN (optional demo)
• Module 9: Project Work
  • Choose a dataset (e.g., house prices, fraud detection, stock prices)
  • Perform end-to-end ML: preprocessing → modeling → evaluation
  • Build a report/dashboard
  • Present findings
• Module 10: Model Deployment (Optional)
  • Saving ML models using pickle
  • Creating a web interface using Flask or Streamlit
  • Hosting on platforms like Render or Heroku

Fee Structure

Course Description

This course provides a comprehensive, project-driven introduction to designing and deploying IoT and embedded systems. Students will: Master microcontroller programming (STM32, ESP32) Integrate sensors/actuators with wireless connectivity (BLE, LoRa, Wi-Fi) Develop edge-to-cloud solutions using AWS IoT/MQTT Implement security best practices (Secure Boot, TLS) Build 5+ real-world projects (Smart Home, Industrial Monitoring, etc.)

Curriculum

• Module 1:Embedded Systems Fundamentals
  • MCU architecture (ARM Cortex, RISC-V)
  • GPIO, ADC, PWM, and timers
  • Hands-on: Blinking LED with STM32CubeIDE
• Module 2: Real-Time Operating Systems (RTOS)
  • Task scheduling with FreeRTOS
  • Memory management & inter-task communication
  • Lab: Multisensor data logger
• Module 3: Sensor & Actuator Integration
  • Analog vs. digital sensors (DHT22, MPU6050)
  • Motor control (servos, steppers)
  • Project: Smart thermostat with relay control
• Module 4: Wireless Connectivity
  • BLE/Wi-Fi (ESP32) vs. LPWAN (LoRa)
  • Protocol deep dive: MQTT, CoAP
  • Lab: Weather station transmitting to cloud
• Module 5: Power Management
  • Battery optimization techniques
  • Solar energy harvesting
  • Case study: Long-life soil moisture sensor
• Module 6: Edge Computing & TinyML
  • On-device ML with TensorFlow Lite
  • Edge impulse for sensor analytics
  • Project: Vibration-based fault detection
• Module 7: Project: Vibration-based fault detection
  • AWS IoT Core vs. Azure IoT Hub
  • Rule engines & serverless functions
  • Lab: Remote device dashboard (Grafana)
• Module 8:IoT Security
  • Secure boot & OTA updates
  • Hardware encryption (ATECC608A)
  • Workshop: Securing a smart lock
• Module 9:Industrial IoT (IIoT)
  • Modbus/OPC UA protocols
  • Predictive maintenance systems
  • Case study: Factory equipment monitor
• Module 10: Capstone Project
  • End-to-end IoT solution (e.g., smart agriculture)
  • Integration of all learned modules
  • Demo day with industry judges

Fee Structure

Course Description

This VLSI Fundamentals course introduces students to the world of microchip and semiconductor design, where millions of transistors are integrated into a single chip. VLSI lies at the heart of modern electronics—from smartphones to processors—and is a critical skill for those pursuing careers in semiconductor design, embedded systems, or digital electronics.The course covers the fundamentals of CMOS technology, digital logic design, Verilog HDL, and physical layout design, along with industry workflows like ASIC and FPGA design. Hands-on sessions using EDA tools (like Cadence, Xilinx, or open-source simulators) will reinforce concepts with real-world relevance.

Curriculum

• Module 1:Introduction to VLSI
  • Evolution of IC design: SSI to VLSI
  • Moore’s Law and scaling
  • VLSI applications: mobile, automotive, AI chips
  • VLSI design methodologies: ASIC vs FPGA
• Module 2: Semiconductor Fundamentals
  • Basic semiconductor physics
  • P-N junction, diodes, and transistors
  • Lab: CMOS inverter characteristics
  • Lab:Noise margins and power dissipation
• Module 3: Digital Logic Design
  • Boolean algebra and logic gates
  • Combinational circuits (MUX, DEMUX, Encoders, Decoders)
  • Sequential circuits (Flip-flops, Counters, Registers)
  • Timing diagrams and state machines
• Module 4: CMOS VLSI Design Principles
  • CMOS logic gates: NAND, NOR, XOR
  • Stick diagrams and layout rules
  • Design rules: lambda-based and micron-based
  • Layout, DRC (Design Rule Check), and LVS (Layout vs Schematic)
• Module 5: Verilog HDL (Hardware Description Language)
  • Structure of a Verilog program
  • Modules, ports, and signal declarations
  • Combinational and sequential modeling
  • Writing testbenches and simulations
• Module 6: FPGA Design Flow (Xilinx/Intel FPGA)
  • Introduction to FPGA architecture
  • RTL design and synthesis
  • Simulation, synthesis, place and route
  • Programming an FPGA board
• Module 7: ASIC Design Flow
  • Front-end vs back-end design
  • RTL to GDSII flow
  • Static Timing Analysis (STA) basics
  • Introduction to EDA tools: Cadence, Synopsys
• Module 8: Design for Performance
  • Setup and hold time violations
  • Power and area optimization
  • Clock gating and pipelining
  • Low-power design techniques
• Module 9: Project Work
  • Mini projects: ALU design, digital lock, UART controller
  • RTL design and layout
  • Simulation, synthesis, and FPGA implementation
  • Final presentation/demo

Fee Structure

Course Description

This AutoCAD Fundamentals course provides comprehensive training in 2D drafting and 3D modeling using AutoCAD — the industry-standard software for technical design and documentation. Whether you're an engineering student, architect, or designer, this course will give you the skills to create professional CAD drawings, blueprints, and 3D visualizations. From basic drawing tools to advanced layouts and plotting techniques, the course combines hands-on projects and real-world exercises to help you apply what you learn in architectural, civil, mechanical, or electrical domains.

Curriculum

• Module 1: Introduction to AutoCAD
  • What is AutoCAD? Applications in various industries
  • Navigating the user interface
  • Drawing setup (units, limits, grid, snap)
  • Saving, opening, and organizing files
• Module 2: 2D Drawing Basics
  • Drawing tools: Line, Circle, Arc, Rectangle, Ellipse
  • Editing tools: Move, Copy, Mirror, Offset, Trim, Extend
  • Object snaps (OSNAP) and tracking
  • Use of command line and shortcuts
• Module 3: Layers, Blocks & Annotation
  • Creating and managing layers
  • Line types, colors, and thickness
  • Text (single-line and multi-line)
  • Dimensions and leaders
  • Creating and inserting blocks
  • Using attributes and dynamic blocks
• Module 4: Drafting Standards and Templates
  • Title blocks and borders
  • Template creation and standardization
  • Setting up drawing scales and annotation styles
  • File management and version control
• Module 5: Advanced 2D Tools & Layouts
  • Array (rectangular, polar, path)
  • Hatching and gradients
  • External references (XREFs)
  • Layouts, viewports, and plotting
• Module 6: Introduction to 3D Modeling
  • 3D workspace and navigation
  • 3D modeling commands: Extrude, Revolve, Sweep, Loft
  • UCS (User Coordinate System) in 3D
  • Boolean operations (Union, Subtract, Intersect)
  • Visual styles and rendering basics
• Module 7: Isometric & Orthographic Drawing
  • Understanding isometric drawing setup
  • Drawing isometric shapes in 2D
  • Creating orthographic projections from 3D models
  • Converting views for technical drawing
• Module 8: Project Work
  • Architectural: Floor plan and elevation
  • Mechanical: 2D mechanical part to 3D model
  • Civil: Plot layout or pipe network
  • Interior: Room layout with furniture placement
  • Final presentation and printing

Fee Structure

Course Description

The Car Designing course is a specialized program that blends creativity, engineering, and cutting-edge technology to teach learners how to conceptualize, design, and visualize vehicles. Covering automotive sketching, 3D modeling, aerodynamics, and interior/exterior styling, this course prepares students to enter the competitive world of automotive design. Participants will learn the use of industry-standard tools like Alias, Blender, Autodesk SketchBook, and SolidWorks, along with fundamental design principles, ergonomics, and digital rendering techniques. Whether you're aiming to be a transportation designer or an automotive concept artist, this course builds a strong foundation for a dynamic career.

Curriculum

• Module 1: Introduction to Automotive Design
  • History and evolution of car design
  • Overview of the automotive industry
  • Types of cars and body styles
  • Role of a transportation designer
• Module 2: Design Thinking and Concept Development
  • Understanding the design process
  • Market and trend research
  • Mood boards and conceptual brainstorming
  • Ideation and storyboarding
• Module 3: Hand Sketching & Digital Drawing
  • Basics of proportion and perspective
  • Vehicle sketching (side view, front/rear, ¾ view)
  • Surface and line quality
  • Digital sketching with tablets (using SketchBook, Photoshop)
• Module 4: Exterior Car Design
  • Body styling and surface flow
  • Template creation and standardization
  • Aesthetic vs functional elements
  • Case studies: sedans, SUVs, EVs
• Module 5: Interior Car Design
  • Driver-centric design and ergonomics
  • Dashboard, steering, infotainment layout
  • Material selection and texture mapping
  • HMI (Human-Machine Interface) integration
• Module 6: 3D Modeling and CAD Tools
  • Introduction to Alias, Blender, or SolidWorks
  • Creating 3D surfaces and curves
  • Modeling full car body in 3D
  • Rendering and lighting setups for showcase
• Module 7: Aerodynamics and Engineering Considerations
  • Basics of airflow and drag
  • Functional design elements (spoilers, intakes, diffusers)
  • Packaging mechanical components (engine, wheels, suspension)
  • Collaboration with engineering teams
• Module 8: Portfolio and Project Development
  • Developing a personal concept car
  • Full sketch-to-3D workflow
  • Creating a professional design portfolio
  • Presentation skills and critiques

Fee Structure

Course Description

This Human Resources Fundamentals course provides a comprehensive foundation in HR principles, strategies, and operations. It equips learners with the skills to manage people effectively, build strong workplace cultures, and align HR practices with organizational goals. Covering everything from recruitment and onboarding to performance management, labor law, and HR analytics, the course is designed for those aiming to begin or advance a career in HR, people management, or talent acquisition. Real-world scenarios and case studies are used to apply theoretical knowledge in practical settings.

Curriculum

• Module 1: Introduction to Human Resource Management
  • What is HRM?
  • Strategic vs operational HR
  • HR’s role in organizational successHR’s role in organizational success
  • HRM in different industries
• Module 2: Recruitment & Talent Acquisition
  • Manpower planning and job descriptions
  • Sourcing candidates (job portals, referrals, social media)
  • Resume screening and interview techniques
  • Campus hiring and walk-in drives
  • Selection tests and final onboarding process
• Module 3: Onboarding and Employee Orientation
  • Welcome kits and induction programs
  • Company policies and code of conduct
  • Early employee engagement strategies
  • Probation period and confirmation process
• Module 4: Training & Development
  • Identifying training needs (TNA)
  • Designing training programs (in-house & external)
  • Soft skills vs technical skills training
  • Measuring training effectiveness
• Module 5: Performance Management
  • KPIs and OKRs
  • Performance appraisal systems (360°, MBO, etc.)
  • Feedback techniques and review cycles
  • Promotions, rewards, and performance improvement plans
• Module 6: Employee Relations and Engagement
  • Employee motivation techniques
  • Team-building initiatives
  • Conflict resolution and grievance handling
  • Diversity, equity, and inclusion (DEI)
• Module 7: HR Policies and Compliance
  • Employee handbook creation
  • Leave management policies
  • POSH Act (Prevention of Sexual Harassment)
  • Disciplinary procedures
• Module 8: Labor Laws and HR Compliance
  • Key Indian labor laws (Shops & Establishment, PF, ESI, Gratuity, etc.)
  • Contract labor and vendor management
  • Termination policies and exit interviews
  • Statutory reporting and audits
• Module 9: Payroll and Compensation
  • Payroll structure (CTC, basic, allowances, deductions)
  • Salary benchmarking
  • Tax deductions and compliance (TDS, PF, etc.)
  • Employee benefits (insurance, wellness, incentives)
• Module 10: HR Analytics & Digital Tools
  • Basics of HRIS (Human Resource Information Systems)
  • Using Excel and Google Sheets for HR data
  • Dashboards for absenteeism, attrition, performance
  • Tools: Zoho People, SAP SuccessFactors, Keka, BambooHR
• Module 11: Capstone Project
  • HR case study simulation
  • End-to-end hiring or training strategy development
  • Presentation of policies or HR metrics
  • Final evaluation and feedback

Fee Structure

Course Description

The Finance Fundamentals course introduces the essential principles of personal, corporate, and managerial finance. It equips learners with practical knowledge of financial planning, budgeting, accounting, investments, and financial decision-making. Designed for both business and non-business backgrounds, this course helps participants understand how money flows, how to analyze financial data, and how to make smart financial choices — whether in personal life, entrepreneurship, or within a corporate role.

Curriculum

• Module 1: Introduction to Finance
  • What is finance? Types: Personal, Corporate, Public
  • Goals of financial management
  • Role of a financial manager
  • Overview of financial markets and institutions
• Module 2: Accounting and Financial Statements
  • Basics of accounting (debits, credits)
  • Understanding the three key financial statements
  • Ratio analysis (liquidity, solvency, profitability)
• Module 3: Time Value of Money (TVM)
  • Present value (PV) and future value (FV)
  • Simple vs compound interest
  • Annuities and perpetuities
  • Loan amortization schedules
• Module 4: Budgeting and Forecasting
  • Creating a personal or business budget
  • Revenue vs expense forecasting
  • Break-even analysis
  • Variance analysis
• Module 5: Investment Basics
  • Investment types: stocks, bonds, mutual funds, real estate
  • Risk and return tradeoff
  • Diversification and portfolio building
  • Basic introduction to stock market operations
• Module 6: Business Finance & Capital Structure
  • Sources of finance (equity, debt, retained earnings)
  • Capital structure decisions
  • Cost of capital (WACC)
  • Capital budgeting techniques (NPV, IRR, Payback Period)
• Module 7: Financial Planning & Analysis (FP&A)
  • Creating financial models
  • Financial KPIs and dashboarding
  • Scenario and sensitivity analysis
  • Strategic financial decision-making
• Module 8: Personal Financial Management
  • Goal-based financial planning
  • Insurance and retirement planning
  • Credit scores, loans, EMIs
  • Tax planning and savings instruments (India-specific: PPF, ELSS, FD)
• Module 9: Risk Management & Ethics in Finance
  • Identifying financial risks
  • Hedging and risk mitigation tools
  • Ethics, governance, and compliance in financial decisions
  • Corporate frauds and lessons learned
• Module 10: Capstone Project
  • Personal investment portfolio simulation
  • Budget creation for a small business
  • Financial statement analysis of a public company
  • Presentation of findings

Fee Structure

Course Description

The Marketing Fundamentals course offers a comprehensive introduction to the core concepts, tools, and strategies of modern marketing. It covers both traditional and digital marketing channels, emphasizing how businesses attract, convert, and retain customers in today’s dynamic marketplace. From understanding consumer behavior to crafting compelling campaigns, the course empowers learners with real-world marketing skills to build strong brands, drive engagement, and deliver business results. Ideal for beginners, business owners, and professionals transitioning into marketing roles.

Curriculum

• Module 1: Introduction to Marketing
  • What is marketing? Evolution from traditional to digital
  • The role of marketing in business
  • The 4 Ps and 7 Ps of marketing
  • Understanding B2B vs B2C marketing
• Module 2: Market Research and Consumer Insights
  • Primary vs secondary research
  • Surveys, focus groups, customer interviews
  • Creating buyer personas
  • Competitor analysis and SWOT
• Module 3: Consumer Behavior
  • Psychology of buying decisions
  • Customer journey and touchpoints
  • Factors affecting consumer behavior (social, cultural, personal)
• Module 4: Branding and Positioning
  • Brand identity and equity
  • USP (Unique Selling Proposition)
  • Crafting brand stories
  • Case studies of successful brands
• Module 5: Digital Marketing Basics
  • Website basics and user experience (UX)
  • Search Engine Optimization (SEO)
  • Social media platforms and strategies
  • Email marketing and marketing automation
  • Introduction to Google Ads and paid media
• Module 6: Content & Inbound Marketing
  • Types of content: blog, video, infographic, podcast
  • Content planning and editorial calendar
  • Storytelling and copywriting principles
  • Lead magnets and call-to-actions (CTAs)
• Module 7: Advertising & Promotion
  • ATL, BTL, and TTL marketing explained
  • Online vs offline advertising
  • Influencer and affiliate marketing
  • Planning an ad campaign
• Module 8: Sales & Customer Relationship Management (CRM)
  • Sales funnel: Awareness to Conversion
  • Lead generation and nurturing
  • CRM tools overview (Zoho CRM, HubSpot)
  • Customer retention strategies
• Module 9: Marketing Metrics & Analytics
  • Key metrics: CAC, CLV, CTR, ROI, conversion rate
  • Google Analytics basics
  • Social media and campaign performance tracking
  • Creating and interpreting dashboards
• Module 10: Capstone Project
  • Develop a go-to-market strategy
  • Create a digital marketing plan for a product or service
  • Conduct a competitor analysis
  • Final pitch presentation

Fee Structure

Course Description

The Digital Marketing Mastery course provides an in-depth understanding of the latest digital marketing strategies, tools, and platforms. From SEO and social media to Google Ads and analytics, this course helps learners create, manage, and optimize online marketing campaigns that drive traffic, generate leads, and boost conversions. Designed for both beginners and professionals, the course includes hands-on projects, live campaign demos, and real-world use cases to prepare learners for success in roles like Digital Marketer, SEO Specialist, Social Media Manager, and PPC Executive.

Curriculum

• Module 1: Introduction to Digital Marketing
  • What is digital marketing?
  • Traditional vs digital comparison
  • Buyer journey in the digital age
  • Inbound vs outbound marketing
• Module 2: Website Planning & Creation
  • Importance of a marketing-ready website
  • Domain, hosting, and CMS basics (WordPress, Wix)
  • Website structure and user experience (UX)
  • Landing pages and A/B testing
• Module 3: Search Engine Optimization (SEO)
  • How search engines work
  • On-page SEO (titles, meta tags, content optimization)
  • Off-page SEO (backlinks, guest posting, outreach)
  • Keyword research tools (Google Keyword Planner, Ubersuggest)
  • Technical SEO (sitemap, speed, mobile optimization)
• Module 4: Search Engine Marketing (SEM)
  • Introduction to Google Ads
  • Types of ads: search, display, video, shopping
  • Creating ad campaigns, ad groups, and ad copy
  • Bidding strategy and budgeting
  • Quality score and CTR improvement
• Module 5: Social Media Marketing (SMM)
  • Platforms: Facebook, Instagram, LinkedIn, Twitter, YouTube
  • Creating a content calendar
  • Organic growth vs paid promotion
  • Facebook/Instagram Ads Manage
  • Social media engagement strategies
• Module 6: Email Marketing & Automation
  • Building and segmenting an email list
  • Designing emails (Mailchimp, Zoho Campaigns)
  • Automated workflows and drip campaigns
  • Email analytics (open rate, CTR, bounce)
• Module 7: Content Marketing & Copywriting
  • Creating value-driven content (blogs, videos, infographics)
  • SEO writing and content structure
  • CTAs, hooks, and storytelling in copywriting
  • Repurposing and content syndication
• Module 8: Affiliate & Influencer Marketing
  • Setting up affiliate programs
  • Choosing the right influencers
  • Campaign tracking and ROI measurement
  • Tools like Impact, PartnerStack, and Upfluence
• Module 9: Web Analytics & Reporting
  • Introduction to Google Analytics & GA4
  • Traffic sources, user behavior, and conversions
  • UTM parameters and goal tracking
  • Creating reports and marketing dashboards
• Module 10: Digital Marketing Strategy & Funnel Building
  • Designing marketing funnels (awareness to conversion)
  • Lead magnets and sales pipelines
  • Budget planning and channel mix
  • Creating your own marketing strategy
• Module 11: Capstone Project
  • Build a live digital marketing campaign
  • SEO audit and content calendar creation
  • Google Ads & social media ad execution
  • Final portfolio presentation

Fee Structure

Course Description

This engaging course introduces middle school students to the math and science behind how computers learn! Through hands-on activities and real-world examples, students will discover how basic math concepts power exciting technologies like game AI, facial recognition, and smart assistants.

Curriculum

• maths
  • Number System , Integers, Fractions, Decimals
  • Basic Algebra , Simple Equations
  • Geometry , Understanding Shapes, Angles, Symmetry
  • Mensuration , Perimeter, Area
  • Data Handling ,Bar Graphs, Pictographs
• Science:
  • Physics: Motion & Measurement,Light, Shadows & Reflections,Electricity & Circuits
  • Chemistry: Sorting Materials into Groups,Separation of Substances,Changes Around Us
  • Biology: Food & Its Components,Living Organisms & Surroundings,Body Movements
  • Environmental Science: Natural Resources, Ecosystems, Pollution & Conservation
• social
  • History What, Where & How (Early Civilizations),Kingdoms, Kings & Early Republics,New Ideas & Religions (Buddhism, Jainism)
  • Geography The Earth & Solar System,Latitudes & LongitudesMajor Landforms & Water Bodies
  • Civics (Political) Diversity & Discrimination,Government & Local Administration,Rural & Urban Livelihoods
• English
  • Grammar: Tenses, Parts of Speech, Articles
  • Writing: Essays, Letters, Stories
  • Prose & Poetry (NCERT/State Books)
• Hindi / Regional Language
  • व्याकरण (Grammar): काल, संज्ञा, सर्वनाम
  • अपठित गद्यांश (Unseen Passage)
  • निबंध लेखन (Essay Writing)
• Computer Science (if applicable)
  • Basics of Computers & MS Office
  • Internet & Safety
  • Introduction to Programming (Scratch/Logo)
• తెలుగు సిలబస్ (6వ తరగతి)
  • పాఠ్యభాగం (Textbook Lessons)
  • గద్యభాగం (Prose)
  • పద్యభాగం (Poetry)
  • వ్యాకరణం (Grammar)
  • లేఖనం (Writing Skills)
  • పఠనాభ్యాసం (Reading & Comprehension)
  • Exam Pattern (AP/TS Board)

Fee Structure

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• Lifetime Access Dashboard
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• Placement Assistance
• Resume Building
• Student Community Access
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Course Description

This engaging course introduces middle school students to the math and science behind how computers learn! Through hands-on activities and real-world examples, students will discover how basic math concepts power exciting technologies like game AI, facial recognition, and smart assistants.

Curriculum

• maths
  • Integers,Fractions
  • Perimeter & Area
  • Fractions & Decimals
  • Simple Equations
  • Lines & Angles
  • Triangles & Symmetry
• Science:
  • Physics: Motion & Time ,Electric Current & Circuits, Light
  • Chemistry: Acids, Bases & Salts,Physical & Chemical Changes
  • Biology:Nutrition in Plants & Animals,Respiration & Transportation
  • Environmental Science: Natural Resources, Ecosystems, Pollution & Conservation
• social
  • History What, Where & How (Early Civilizations),Kingdoms, Kings ,Delhi Sultanate
  • Geography Environment,Air & Water
  • Civics (Political) Democracy ,State Government
• English
  • Prose: "Three Questions," "A Gift of Chappals"
  • Poetry: "The Squirrel," "The Rebel"
  • Grammar: Tenses, Active & Passive Voice
  • Writing: Essay, Story Writing
• Hindi / Regional Language
  • पाठ्यपुस्तक (Textbook Lessons)
  • व्याकरण (Grammar)
  • लेखन कौशल (Writing Skills)
• Computer Science (if applicable)
  • Fundamentals of Computers
  • Software & Operating Systems
  • Programming Basics
  • Internet & Cyber Safety
  • MS Office Tools
• తెలుగు సిలబస్
  • పాఠ్యభాగం (Textbook Lessons)
  • గద్యభాగం (Prose)
  • పద్యభాగం (Poetry)
  • వ్యాకరణం (Grammar)
  • లేఖనం (Writing Skills)
  • పఠనాభ్యాసం (Reading & Comprehension)
  • Exam Pattern (AP/TS Board)

Fee Structure

Self-Learn
₹3,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
Add To Cart Subscribe Now
Mentor Guided
₹6,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
• Live Classes
• WhatsApp Support Group
Add To Cart Subscribe Now
Pro Package
₹9,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
• Everything in Mentor Guided
• Daily Live Classes
• Personalized Study Plan
• 24/7 Priority Support
Add To Cart Subscribe Now

Course Description

This engaging course introduces middle school students to the math and science behind how computers learn! Through hands-on activities and real-world examples, students will discover how basic math concepts power exciting technologies like game AI, facial recognition, and smart assistants.

Curriculum

• maths
  • Integers,Fractions
  • Mensuration: Surface Area & Volume
  • Fractions & Decimals
  • Algebra: Linear Equations, Factorisation
  • Data Handling: Pie Charts, Probability Basics
  • Geometry: Quadrilaterals, Construction of Triangle
• Science:
  • Physics: Force & Pressure,Sound, Light
  • Chemistry: Synthetic Fibres, Metals/Non-Metals, Combustion
  • Biology:Crop Production, Cell Structure, Reproduction
  • Environmental Science: Natural Resources, Ecosystems, Pollution & Conservation
• social
  • History Colonialism, Indian National Movement
  • Geography Resources, Agriculture, Industries
  • Civics (Political) Indian Constitution, Judiciary System
• English
  • Prose
  • Poetry:
  • Grammar: Tenses, Active & Passive Voice
  • Writing: Essay, Story Writing
  • Literature: "The Best Christmas Present", "The Tsunami"
• Hindi / Regional Language
  • पाठ्यपुस्तक (Textbook Lessons)
  • व्याकरण (Grammar)
  • लेखन कौशल (Writing Skills)
• Computer Science (if applicable)
  • Advanced Python: Functions, Strings
  • Software & Operating Systems
  • Programming Basics
  • AI Basics: What is Artificial Intelligence?
  • HTML Fundamentals: Web Page Structure
• తెలుగు సిలబస్
  • పాఠ్యభాగం (Textbook Lessons)
  • గద్యభాగం (Prose)
  • పద్యభాగం (Poetry)
  • వ్యాకరణం (Grammar)
  • వ్యాకరణం: సమాసాలు, లింగ-వచనాలు
  • లేఖనం (Writing Skills)
  • పఠనాభ్యాసం (Reading & Comprehension)
  • Exam Pattern (AP/TS Board)

Fee Structure

Self-Learn
₹3,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
Add To Cart Subscribe Now
Mentor Guided
₹6,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
• Live Classes
• WhatsApp Support Group
Add To Cart Subscribe Now
Pro Package
₹9,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
• Everything in Mentor Guided
• Daily Live Classes
• Personalized Study Plan
• 24/7 Priority Support
Add To Cart Subscribe Now

Course Description

This engaging course introduces middle school students to the math and science behind how computers learn! Through hands-on activities and real-world examples, students will discover how basic math concepts power exciting technologies like game AI, facial recognition, and smart assistants.

Curriculum

• maths
  • Number Systems: Real Numbers, Irrational Numbers
  • Mensuration: Surface Area & Volume
  • Geometry: Circles, Quadrilaterals, Heron's Formula
  • Algebra: Polynomials, Linear Equations in 2 Variables
  • Coordinate Geometry (New Introduction)
  • Geometry: Quadrilaterals, Construction of Triangle
• Science:
  • Physics: Motion, Force & Laws of Motion, Gravitation
  • Chemistry:Atoms & Molecules, Structure of Atom
  • Biology:v
• social
  • HistoryFrench Revolution, Nazism, Pastoralists
  • GeographyClimate, Drainage, Population
  • Civics (Political) Electoral Politics, Constitutional Design
  • Economics:Poverty as Challenge, Food Security
• English
  • Prose
  • Poetry:
  • Grammar: Tenses, Modals, Reported Speech
  • Writing: Diary Entry, Article Writing
  • Literature: "The Lost Child", "The Adventures of Toto"
• Hindi / Regional Language
  • पाठ्यपुस्तक (Textbook Lessons)
  • व्याकरण (Grammar)
  • लेखन कौशल (Writing Skills)
• Computer Science
  • Python Programming: Conditionals, Loops, Lists
  • Data Handling: CSV Files, Data Visualizatio
  • Cyber Safety: Advanced Threats & Protection
  • AI Basics: Introduction to Machine Learning
• తెలుగు సిలబస్
  • పాఠ్యభాగం (Textbook Lessons)
  • గద్యభాగం (Prose)
  • పద్యభాగం (Poetry)
  • వ్యాకరణం (Grammar)
  • వ్యాకరణం: సంధులు, లకార సంబంధిత రూపాలు
  • లేఖనం (Writing Skills)
  • పఠనాభ్యాసం (Reading & Comprehension)
  • Exam Pattern (AP/TS Board)

Fee Structure

Self-Learn
₹3,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
Add To Cart Subscribe Now
Mentor Guided
₹6,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
• Live Classes
• WhatsApp Support Group
Add To Cart Subscribe Now
Pro Package
₹9,999
• Lifetime Access Dashboard
• Self Placed Learning
• 3+ Industry Based Projects
• Guaranteed Internships
• Certifications
• Interview Preparation
• Unlimited Mocks
• Letter OF Recommaendation(LoR)
• Placement Assistance
• Resume Building
• Student Community Access
• Stipend Opportunity
• Email Support
• Everything in Mentor Guided
• Daily Live Classes
• Personalized Study Plan
• 24/7 Priority Support
Add To Cart Subscribe Now

Course Description

Specialized preparation for CBSE and ICSE board examinations with comprehensive coverage of all subjects, previous year papers, and mock tests with detailed analysis.

Fee Structure

Course Description

The syllabus for 11th and 12th grade (Class XI and XII) varies depending on the education board (e.g., CBSE, ICSE, State Boards, IB, IGCSE, etc.) and the stream chosen (Science, Commerce, or Arts/Humanities). Here’s a general overview of the syllabus for CBSE (India) and other common boards:.

Fee Structure

Course Description

Two-year integrated program covering CBSE syllabus along with intensive preparation for JEE (Main & Advanced) and NEET examinations.

Fee Structure

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Comprehensive program for Mathematics-Physics-Chemistry and Biology-Physics-Chemistry streams with board and competitive exam preparation.

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Computer Science foundation program covering programming, database management, and computer networks.

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Comprehensive GATE preparation for Computer Science with detailed theory, problem solving, and test series.

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Integrated preparation for ICET examination covering mathematical ability, analytical ability, and communication ability.

Fee Structure

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Preparation for various entrance exams including EAMCET, PGECET, and other state-level engineering entrance tests.

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Comprehensive foundation program for BTech students covering core engineering subjects.

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Skill development programs in emerging technologies and professional skills.

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Advanced programs designed in collaboration with industry experts.

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Preparation program for MTech aspirants covering GATE syllabus and advanced topics.

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Preparation program for MBA entrance exams and business fundamentals.

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Preparation program for MCA entrance exams and computer applications fundamentals.

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Comprehensive program covering pharmaceutical sciences and preparation for pharmacy entrance exams.

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Training program for medical coding professionals covering ICD, CPT, and HCPCS coding systems.

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Advanced training in medical coding for experienced professionals seeking specialization.

Fee Structure