ICT for School Leavers Job Oriented Work from Home Online Classes Sri Lanka

 

 ICT for School Leavers (Post O/L or A/L)

(Short-term practical & career-oriented course)

Introduction to IT and careers in ICT
Office applications (Word, Excel, PowerPoint, Access)
Digital communication: Email, conferencing
Internet and web basics
Introduction to databases and queries
Intro to programming (Python)
Basic graphic design and photo editing
Project work: Resume, reports, presentations

 Web Development (Beginner to Intermediate)

Module 1: Web Basics

Internet & how websites work
HTML5: structure and tags
CSS3: styling and layout
Responsive design (media queries)

Module 2: Interactive Web

JavaScript basics (DOM, events)
Forms and validation
Bootstrap or Tailwind CSS

Module 3: Backend & Hosting

Introduction to PHP or Node.js
MySQL/Database connectivity
Hosting and domain basics
Deploying a website (cPanel/GitHub)

Optional:

WordPress or Wix
Web design tools: Figma/Canva

 Social & Digital Media Marketing

Module 1: Foundations

Introduction to digital marketing
SEO (Search Engine Optimization)
SEM (Google Ads basics)
Content marketing fundamentals

Module 2: Social Media Platforms

Facebook, Instagram, TikTok, YouTube marketing
Social media post planning and design (Canva)
Ads manager basics (Facebook/Meta Business Suite)

Module 3: Tools & Analytics

Email marketing (Mailchimp)
Web analytics (Google Analytics)
Social media metrics and reporting

Capstone Project:

Design a campaign for a product/brand

 Computer Programming (Beginner to Intermediate)

Module 1: Basics of Programming

What is programming? Algorithms and logic
Python or Scratch for beginners
Variables, data types, loops, conditions
Functions and modules

Module 2: Object-Oriented Programming

Classes and objects
Inheritance and encapsulation
Exception handling

Module 3: Practical Projects

Simple games (e.g., using Turtle or Pygame)
File handling, basic GUIs
Connecting to databases

 Artificial Intelligence (AI) – Beginner Level

Module 1: Introduction to AI

What is AI? History and types
Real-life AI applications
AI vs ML vs Deep Learning

Module 2: Machine Learning Basics

Supervised vs unsupervised learning
Datasets and data preprocessing
Basic ML models (using Python and scikit-learn)

Module 3: Hands-On Projects

Image recognition (Teachable Machine / Python)
Chatbots with Dialogflow or Rasa
Voice assistant or sentiment analysis

Ethics and Future of AI

AI ethics and bias
Jobs and skills in AI




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