ICT for School Leavers Job Oriented Social Digital Media Marketing Work From Home Sri Lanka Online Classes ITClassSL

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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