Learn how to build beautiful, responsive, and interactive websites and applications. This course takes you from the basics of web development to advanced front-end frameworks, equipping you with the skills needed to launch a career in software engineering.

What You’ll Learn

 Weeks 1–3: Web Foundations

• HTML5 & CSS3 for page structure and styling
• Responsive design with Flexbox, Grid, and media queries
• UI/UX basics, accessibility, and design frameworks (Bootstrap/Tailwind)

 Weeks 4–7: JavaScript Programming

• Core programming concepts (variables, functions, arrays, objects)
• DOM manipulation & interactivity
• APIs, JSON, and asynchronous programming
• Build mini-projects like a To-Do App and Weather App

 Weeks 8–16: React.js Development

• Components, props, and state
• Event handling & hooks (useState, useEffect)
• Routing & navigation
• Managing global state with Context API / Redux

 Weeks 17–20: Tools & Best Practices

• Git & GitHub for version control
• NPM, Webpack/Vite for modern workflows
• Testing with Jest & Cypress basics
• Performance optimization & accessibility

 Weeks 21–36: Projects & Career Skills

• Deploying apps (Netlify, Vercel, GitHub Pages)
• Team collaboration & Agile practices
• Building a professional portfolio website
• Capstone Project: A fully functional front-end web application

Final Outcome

By the end of this course, you’ll:

• Build and deploy real-world applications
• Gain hands-on experience with HTML, CSS, JavaScript, and React
• Be job-ready for roles in Front-End Development or Software Engineering

 Capstone Project Example: An interactive e-commerce site, blog platform, or analytics dashboard that showcases your skills to employers.

Turn raw data into powerful insights! This course equips you with the tools and techniques to analyze, visualize, and interpret data for smarter decision-making. Perfect for beginners and professionals looking to upskill.

What You’ll Learn

 Weeks 1–4: Foundations of Data Analytics

• Understanding data types & structures
• Basics of statistics for data analysis
• Data collection, cleaning, and preprocessing
• Introduction to Excel & Google Sheets

 Weeks 5–8: Databases & SQL

• Relational databases & SQL fundamentals
• Writing queries to extract and manipulate data
• Joins, aggregations, and subqueries
• Hands-on projects with real datasets

 Weeks 9–12: Data Analysis with Python

• Python essentials for analytics (NumPy, Pandas)
• Data cleaning & transformation
• Exploratory Data Analysis (EDA)
• Mini-project: Analyzing business or survey data

 Weeks 13–16: Data Visualization & Storytelling

• Creating dashboards with Power BI / Tableau
• Visual design principles for clarity & impact
• Data storytelling & reporting techniques
• Project: Build an interactive dashboard

 Weeks 17–20: Advanced Analytics Concepts

• Introduction to predictive analytics & machine learning basics and Artificial Intelligence
• Correlation, regression, and classification
• Time series analysis (forecasting trends)
• Case study: Sales prediction or customer segmentation

 Weeks 21–24: Capstone & Career Prep

• Three capstone projects

  You’ll work on three capstone projects to give you hands-on knowledge of how to work like a data scientist.

  • Capstone 1
    You’ll be introduced to the six steps of the Data Science Method (DSM) early on in the program, then execute each of these critical steps through guidance from your mentor. You’ll practice each step before applying your knowledge to your second capstone.

   

  • Capstone 2
    Similar to the guided capstone one, you’ll execute the steps of the DSM but with less guidance. You’ll develop a project idea and proposal, find and wrangle data, use exploratory data analysis techniques, pre-process and create a training dataset, build a working model, and then document and present your work. You’ll submit each step separately.

   

  • Capstone 3
    Capstone 3 runs through the steps of the DSM, but you’ll choose your project idea depending on the specialization track you’re enrolled in.
• Portfolio building with dashboards & reports
• Best practices in data ethics & privacy
• Preparing for data analyst job interviews

Final Outcome

By the end of this course, you’ll be able to:

• Clean, analyze, and visualize datasets using Excel, SQL, Python, and Power BI/Tableau
• Build interactive dashboards and reports
• Apply analytics to solve real business problems
• Be job-ready for roles in Data Analytics, Business Intelligence, or Data Science Foundations

 Capstone Project Example:
Analyze a company’s sales and customer dataset, build a dashboard, and present actionable recommendations to improve business performance.

Protect the digital world! This course provides the knowledge and hands-on skills to detect, analyze, and defend against cyber threats. You’ll learn how attackers think, how systems can be secured, and how to respond to incidents in real-world environments.

What You’ll Learn

 Weeks 1–4: Cybersecurity Foundations

• Introduction to cybersecurity & threat landscape
• Core security principles (CIA triad: Confidentiality, Integrity, Availability)
• Networking basics (IP, DNS, firewalls, protocols)
• Security policies, standards, and ethics

 Weeks 5–8: Threats & Vulnerabilities

• Malware types (viruses, ransomware, phishing, trojans)
• Vulnerability scanning & risk assessment
• Social engineering & insider threats
• Case studies on recent cyber attacks

 Weeks 9–12: Security Tools & Techniques

• Security Information & Event Management (SIEM) tools
• Log analysis & monitoring
• Intrusion Detection & Prevention Systems (IDS/IPS)
• Hands-on labs with Wireshark & Splunk basics

 Weeks 13–16: Network & System Security

• Securing operating systems & applications
• Access control, authentication, and encryption
• Wireless security & VPNs
• Cloud and endpoint security essentials

 Weeks 17–20: Incident Response & Forensics

• Incident response lifecycle
• Digital forensics basics (collecting & analyzing evidence)
• Mitigation & recovery strategies
• Hands-on simulation: Responding to a cyber breach

 Weeks 21–24: Capstone & Career Skills

• Capstone Project: Security audit & incident response report
• Best practices in compliance (GDPR, HIPAA, ISO)
• Building a cybersecurity portfolio
• Interview prep for cybersecurity analyst roles

Final Outcome

By the end of this course, you’ll be able to:

• Identify and analyze common cyber threats and vulnerabilities
• Use industry tools for monitoring and defense
• Respond to security incidents with confidence
• Be job-ready for roles such as Cybersecurity Analyst, SOC Analyst, or IT Security Specialist

 Capstone Project Example:
Perform a mock security audit of an organization, analyze potential vulnerabilities, simulate an incident, and present a professional incident response report.

Master one of the world’s most powerful and widely used programming languages! This course will take you from Java fundamentals to building real-world applications. With a focus on object-oriented programming, problem-solving, and best practices, you’ll gain the skills to succeed in software development.

What You’ll Learn

 Weeks 1–4: Java Foundations

• Setting up Java & IDEs (Eclipse, IntelliJ, or VS Code)
• Java syntax: variables, data types, operators
• Control structures (if-else, loops, switch)
• Writing your first Java programs

 Weeks 5–8: Object-Oriented Programming (OOP)

• Classes, objects, and methods
• Constructors & method overloading
• Inheritance & polymorphism
• Encapsulation & abstraction

 Weeks 9–12: Core Java Features

• Arrays, strings, and collections framework
• Exception handling & debugging
• Java I/O (reading/writing files)
• Introduction to generics

 Weeks 13–16: Advanced Java Concepts

• Multithreading & concurrency basics
• Lambda expressions & functional programming
• Streams API for data processing
• Working with JDBC for database connectivity

 Weeks 17–20: Java for Applications

• GUI development with JavaFX / Swing
• Networking in Java (sockets, HTTP requests)
• Basics of web development with Java (Servlets/JSP intro)
• Mini-project: Build a desktop or database-driven app

 Weeks 21–24: Capstone & Career Prep

• Capstone Project: Develop a complete Java application (e.g., Library Management System, Student Portal, or E-Commerce prototype)
• Writing clean, maintainable Java code
• Using Git & GitHub for project management
• Job interview prep (Java coding challenges & OOP design questions)

Final Outcome

By the end of this course, you’ll be able to:

• Write efficient, reusable, and scalable Java programs
• Apply OOP principles in real-world projects
• Build applications with GUI, databases, and networking
• Be job-ready for roles like Java Developer, Software Engineer, or Backend Developer

 Capstone Project Example:
A Library Management System or E-Commerce Console App that demonstrates object-oriented design, database connectivity, and real-world problem-solving.

Learn Python — one of the most popular and beginner-friendly programming languages used in web development, data science, AI, and automation. This course takes you from the basics of coding to building real-world applications with hands-on projects.

What You’ll Learn

 Weeks 1–4: Python Fundamentals

• Setting up Python & IDEs (IDLE, PyCharm, VS Code, Jupyter)
• Python syntax: variables, operators, and data types
• Control flow (if-else, loops, logical expressions)
• Writing your first Python scripts

 Weeks 5–8: Core Programming Concepts

• Functions & modular programming
• Data structures: lists, tuples, dictionaries, sets
• String manipulation & formatting
• Error handling & debugging

 Weeks 9–12: Object-Oriented Programming (OOP)

• Classes, objects, and methods
• Constructors & inheritance
• Encapsulation & polymorphism
• Building OOP-based mini-projects

 Weeks 13–16: Python for Data & Automation

• Working with files (CSV, JSON, text files)
• Using libraries (NumPy, Pandas, Requests)
• Web scraping basics (BeautifulSoup)
• Automating tasks with Python scripts

 Weeks 17–20: Python for Applications

• Introduction to APIs & data handling
• GUI development with Tkinter / PyQt
• Basics of web frameworks (Flask or Django)
• Mini-project: Build a small web app or desktop app

 Weeks 21–24: Capstone & Career Prep

• Capstone Project: Develop a real-world Python application (e.g., Expense Tracker, Weather App, Blog Platform, or Data Dashboard)
• Best practices: writing clean & efficient code
• Git & GitHub for collaboration
• Interview prep: Python coding challenges

Final Outcome

By the end of this course, you’ll be able to:

• Write clean and efficient Python programs
• Build applications with OOP, file handling, and external libraries
• Use Python for automation, data handling, and basic web apps
• Be job-ready for roles like Python Developer, Junior Software Engineer, or Data Analyst (entry-level)

 Capstone Project Example:
A Personal Expense Tracker or Flask Web App that uses databases, APIs, and a user-friendly interface.

Learn how to build modern, responsive, and interactive websites from scratch. This course covers the three essential front-end technologies — HTML for structure, CSS for design, and JavaScript for interactivity — giving you the skills to start your journey as a web developer.

What You’ll Learn

 Weeks 1–2: HTML Foundations

• Setting up a development environment (VS Code, browser DevTools)
• HTML basics: elements, attributes, headings, lists, links
• Forms & input fields
• Semantic HTML & accessibility

 Weeks 3–4: CSS for Styling

• CSS syntax: selectors, properties, values
• Colors, typography, and layouts
• Box model, display, positioning
• Responsive design with Flexbox & Grid
• CSS animations & transitions

 Weeks 5–12: JavaScript Basics

• Variables, data types, and operators
• Functions & scope
• Conditionals & loops
• DOM manipulation (selecting, editing, styling elements)
• Event handling (clicks, forms, user interactions)

 Weeks 13–16: JavaScript Advanced Concepts

• Arrays & objects (storing and processing data)
• ES6+ features (let/const, arrow functions, template literals)
• JSON & localStorage
• Debugging with browser tools
• Mini-project: To-Do List App

 Weeks 17–20: Bringing It All Together

• Combining HTML, CSS, and JS in real projects
• Working with APIs (fetching data and displaying it)
• Form validation with JavaScript
• Responsive navigation menus & interactive components
• Mini-project: Weather App or Quiz Game

 Weeks 21–24: Capstone & Portfolio

• Capstone Project: Build a complete responsive website (e.g., blog, e-commerce landing page, or portfolio site)
• Hosting your site (GitHub Pages / Netlify)
• Best practices: clean code, accessibility, SEO basics
• Portfolio building & career tips for junior developers

Final Outcome

By the end of this course, you’ll be able to:

• Build responsive, styled websites with HTML & CSS
• Add interactivity and functionality with JavaScript
• Work with APIs to build real-world web apps
• Launch your own projects and portfolio as a Front-End Developer

 Capstone Project Example:
A Personal Portfolio Website or Interactive Landing Page that showcases your mastery of HTML, CSS, and JavaScript.

Week 1 – Introduction to the Web & HTML Basics

• How the web works (client, server, browsers, hosting, domains).

• Introduction to HTML: structure of a webpage.

• Basic HTML tags: headings, paragraphs, lists, links, images.

• Creating your first simple webpage.

• Assignment: Build a personal “About Me” page.

Week 2 – Advanced HTML & Document Structuring

• Semantic HTML (header, nav, section, article, footer).

• Tables and forms (input types, buttons, labels).

• Embedding media (audio, video, iframes).

• Accessibility basics (alt attributes, labels).

• Assignment: Build a multipage mini-website with navigation.

Week 3 – Introduction to CSS

• What is CSS and how to link it to HTML.

• Selectors, properties, and values.

• Colors, fonts, text styling.

• Box model: margins, padding, borders.

• Assignment: Style the multipage website with consistent design.

Week 4 – CSS Layouts & Responsive Design

• Positioning (static, relative, absolute, fixed).

• Flexbox basics for layout.

• Introduction to CSS Grid.

• Responsive design with media queries.

• Assignment: Build a simple landing page layout (desktop + mobile).

Week 5 – Introduction to WordPress

• What is a CMS? Why WordPress?

• Installing WordPress locally (XAMPP/MAMP) or using a hosting service.

• Exploring WordPress dashboard (posts, pages, settings).

• Choosing and installing themes.

• Assignment: Set up a WordPress site and publish 2–3 pages.

Week 6 – Customizing WordPress

• Working with the block editor (Gutenberg).

• Custom menus, widgets, and plugins.

• Installing essential plugins (SEO, security, contact forms).

• Customizing themes with the Customizer.

• Assignment: Create a small business website with multiple pages.

Week 7 – WordPress & CSS/HTML Integration

• Introduction to child themes.

• Editing theme files (header, footer).

• Adding custom CSS for styling tweaks.

• Embedding custom HTML blocks in WordPress pages.

• Assignment: Add custom styling and a unique section to your site.

Week 8 – Final Project & Launch

• Planning a website (wireframing, sitemap).

• Building a complete WordPress site (portfolio, blog, or small business).

• Optimizing for mobile and SEO basics.

• Website deployment (free hosting on WordPress.com or custom hosting).

• Final Presentation: Each student demonstrates their site.

✅ Learning Outcomes:
By the end of this course, students will:

• Understand HTML & CSS fundamentals for web design.

• Be able to structure and style webpages.

• Confidently set up, customize, and manage a WordPress site.

• Create and launch a functional website for personal or professional use.

📘 8-Week Programming Fundamentals Syllabus (Middle School- Levels 1 to 4)

Week 1 – Introduction to Computers & Problem Solving

• What is Computer Science?

• Hardware vs. Software.

• Binary basics (0s and 1s).

• Problem-solving with algorithms (step-by-step instructions).

• Activity: Write an algorithm for making a sandwich.

Week 2 – Digital Citizenship & Internet Basics

• Safe and responsible use of technology.

• How the internet works (networks, websites).

• Search skills & evaluating online information.

• Activity: Create a “Top 5 Rules for Being Safe Online” poster.

Week 3 – Introduction to Coding (Block-Based)

• Understanding programming concepts: sequence, loops, conditionals.

• Introduction to Scratch or Blockly.

• Activity: Build a simple Scratch animation (e.g., a character that moves and talks).

Week 4-5 – Coding Projects with Scratch

• Variables and events in programming.

• Debugging basics.

• Activity: Create a simple game (e.g., maze or quiz game).

Week 6 – Web Basics (HTML & CSS)

• What is a website? How websites are built.

• Introduction to HTML (headings, paragraphs, links, images).

• Introduction to CSS (colors, fonts, backgrounds).

• Activity: Create a personal webpage (“About Me”).

Week 7 – Introduction to Robotics & Logic

• What are robots? Sensors and actuators.

• Coding robots (using tools like LEGO Mindstorms, micro:bit, or virtual robot simulators).

• Activity: Program a robot (real or virtual) to move in a square.

Week 8 – Final Project & Showcase

• Students choose a project:

  • A Scratch game,

  • A personal webpage,

  • Or a robotics challenge.

• Present projects to the class.

• Reflection: “What I learned about Computer Science.”

✅ Learning Outcomes:
By the end of the course, students will:

• Understand computer science concepts like algorithms, coding, and data.

• Build confidence with beginner coding (Scratch + basic HTML/CSS).

• Practice safe and responsible digital habits.

• Complete a creative project showing their skills.

Three Tracks to Choose From:

I. Introduction to Programming (Weeks 1–7)

• Algorithms & flowcharts (step-by-step instructions).

• Introduction to coding: variables, loops, conditionals.

• Block-based programming (Scratch) and transition to text-based (Python basics).

• Activity: Build a Scratch game or a Python quiz program.

or

II. Web Design Basics (Weeks 1-7)

• How the web works (domains, hosting, browsers).

• HTML basics: headings, paragraphs, images, links, lists.

• CSS basics: colors, fonts, backgrounds, layout.

• Intro to JavaScript

• Activity: Create a personal website (“My Portfolio”) using HTML & CSS.

Or

 III. Data & Real-World Applications (Weeks 1–7)

• What is data? Collecting, organizing, and visualizing.

• Introduction to spreadsheets (Excel/Google Sheets).

• Data Visualization using Tableau

• How data is used in technology (AI, social media, healthcare, finance).

• Activity: Collect class survey data and create charts/graphs.

• ---

   Final Project & Showcase (Week 8)

  • Students choose a project:

    • A Scratch/Python program,

    • A website,

    • A data visualization,

    • Or a presentation on an emerging technology.

  • Present projects to the class.

  • Blog Writing: “How Computer Science Shapes the Future.”

📘 Senior High School Computer Technology  (8 Weeks)

Three Tracks to Choose From:

Unit 1: Introduction & Foundations (Week 1)

• What is Computer Science? Importance in modern society.

• History of computing & evolution of programming.

• Computer hardware & software overview.

• Data representation (binary, ASCII, Unicode).

• Activity: Build a timeline of computing innovations.

Track 1

Unit 2: Programming Fundamentals (Weeks 2–7)

• Algorithms & flowcharts (problem-solving approach).

• Python or Java basics: syntax, variables, input/output.

• Control structures: conditionals, loops.

• Functions & modular programming.

• Introduction to debugging and testing.

• Activity: Create a Python or Java program (quiz game, calculator, or text-based adventure).

Or

Track 2

Unit 2: Web Development (Weeks 2–7)

• How the web works: servers, domains, browsers.

• HTML essentials: structure, text, links, images, tables, forms.

• CSS styling: colors, fonts, layouts, responsive design.

• Introduction to JavaScript (basic interactivity).

• Activity: Build a simple personal website (portfolio or blog).

Or

Track 3

Unit 2: Intro to Data Analysis (Weeks 2–7)

• Data collection, organization, and visualization.

• Using spreadsheets, excel, SQL data analysis and visualization using Tableau.

• Applications of CS in real-world industries (healthcare, business and finance, gaming, cybersecurity).

• Activity: Mini project – collect data from classmates (survey) and visualize results.

Unit 3: Final Project & Presentation (Week 8)

• Students finalize and present their projects.

• Peer and teacher evaluations.

• Blog Writing: “How Computer Science Shapes My Future.”

✅ Learning Outcomes
By the end of this 16-week course, students will:

• Understand core concepts in computer systems, programming, and data.

• Apply problem-solving and computational thinking skills.

• Write and debug basic Java or Python programs.

• Create and style webpages using HTML, CSS, and basic JavaScript.

• Analyze and present data in meaningful ways.

• Explore careers and ethical issues in technology.

• Complete a capstone project that demonstrates learned skills.