Flagship Course
Ai Zero to Hero in 7 Days
Understand the complete Ai landscape and design your first practical Ai solution.
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Sinhala Ai Learning Platform
Understand Ai. Build with Ai. Shape the future.
Ai ගැන සියල්ල — ඉක්මනින් — පහසුවෙන් — දැනගන්න — ජයගන්න
Learn artificial intelligence from zero to practical applications through Sinhala explanations, English technical terminology, structured pathways, videos, resources and real-world projects.
Instructor
Sampath Bandaranayake
Ai Educator • Researcher • Digital Innovation
Begin your journey
Choose the right way to start
Follow a structured course, select a career-focused learning path or discover the most suitable algorithm for your problem.
Career Direction
Learning Paths
Choose a structured route for data analytics, machine learning, Ai applications, MLOps, research or edge Ai.
View learning paths
Interactive Tool
Algorithm Selector
Describe your problem, data and priorities to discover suitable algorithms to test.
Find an algorithm
Flagship free course
Understand the complete world of Ai in 7 days
A structured beginner course covering artificial intelligence, machine learning, deep learning, generative Ai, applications, hardware, safety and careers.
Beginner Friendly
Explore the Course
Ai Zero to Hero in 7 Days
Learn the complete Ai landscape through Sinhala explanations, English technical terminology, practical activities and one final Ai solution design.
7
Days
42
Lessons
7+
Hours
1
Final Project
The Complete Map of Ai
Data, Mathematics and Statistics
How Machine Learning Works
Patterns, Forecasting and Evaluation
Deep Learning and Generative Ai
Building Ai Applications
Production, Hardware and Responsibility
Choose your direction
Follow the learning path that matches your goal
Start with the common Ai foundation, then move into a pathway based on what you want to build, analyse, research or manage.
01
Complete Beginner
Ai Explorer
Understand Ai, prompting, data literacy, responsible use and practical no-code workflows.
- Ai Fundamentals
- Prompt Engineering
- Responsible Ai
02
Beginner
Python & Data Analyst
Learn Python, SQL, statistics, data analysis, visualisation and introductory machine learning.
- Python
- SQL & Statistics
- Dashboards
03
Intermediate
Machine Learning Engineer
Build, evaluate, deploy and monitor machine-learning systems using practical projects.
- ML Algorithms
- Deep Learning
- MLOps
04
Intermediate
Ai Application Developer
Build practical Ai applications using APIs, LLMs, RAG, agents, databases and modern web interfaces.
- LLMs & APIs
- RAG & Agents
- Deployment
05
Intermediate
MLOps / LLMOps Engineer
Operate reliable Ai systems through cloud deployment, monitoring, automation and model lifecycle management.
- Docker & Cloud
- CI/CD
- Monitoring
06
Advanced
Ai Hardware & Edge Specialist
Explore Ai computing, accelerators, edge deployment, sensors, robotics and physical Ai systems.
- CPU / GPU / NPU
- Edge Ai
- Robotics
Smart decision support
Find the right algorithm for your problem
Describe your task, data and priorities. Ai Panthiya will suggest suitable algorithms to test, compare and learn.
Guided Selector Preview
Tell us what you need
The complete selector will guide you through your problem type, data, output, explainability needs and computing constraints.
1. What should the system do?
2. What type of data do you have?
3. What matters most?
Ai Panthiya approach
Learn concepts. See mechanisms. Build solutions.
Every topic connects intuitive explanations, technical mechanisms, practical implementation, evaluation and responsible use.
Understand
Build intuition with clear Sinhala explanations and the English terms used in practice.
Experiment
See how Ai methods work through guided examples, evaluation and practical exercises.
Apply responsibly
Turn knowledge into useful solutions while considering quality, safety and real-world impact.