1.01Ai Zero to Hero in 7 Days.
A clear starting point. A connected path. Explore the world of Ai through six focused videos a day, with Sinhala explanations and English technical terms.
Ai කියන්නේ ඇත්තටම මොකක්ද? | AI vs Automation in SinhalaWatch on YouTube ↗
One day at a time.
A bigger picture with every lesson.
Choose a day and watch the videos in order. Each thumbnail opens the original video on YouTube.
42 video lessons · 16 available · 26 coming soon
The Complete Map of Artificial Intelligence
Day 1 Handbook
Read alongside the lessons, review at your own pace or print a copy. PDF · 4.3 MB
1.01
1.02Ai, Machine Learning, Deep Learning සහ Generative AI අතර වෙනස | AI Hierarchy
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1.03AI ගැටලු විසඳන්නේ කොහොමද? | 5 Main Ai Approaches in Sinhala
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1.04AI System එකක් ඇත්තටම හදන්නේ කොහොමද? | AI Software Ecosystem
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1.05AI වලට ඕනි Hardware ! | CPU, GPU, Cloud & Edge AI in Sinhala
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1.06ඔයාට ගැළපෙන AI Path එක මොකක්ද? | AI Careers & Learning Paths
Watch on YouTube ↗Understand and practise
Explain the difference between Ai and automation, then identify one useful Ai task.
Data, Mathematics and Statistics Behind AI
Day 2 Handbook
Read alongside the lessons, review at your own pace or print a copy. PDF · 4.3 MB
2.01Data කියන්නේ මොකක්ද? | Data Analytics & Dataset Basics in Sinhala | AI in 7 Days
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2.02Ai ලෝකය හදුනගන්නෙ numbers වලින්? Data Representation | AI Zero to Hero in 7 Days
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2.03Data AI Model එකට සූදානම් කරන්නේ කොහොමද? | Data Engineering in sinhala| Ai 7 Days
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2.04AI වලට Mathematics & Statistics | Math & Stats for AI
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2.05Dirty Data, Clean කරමු ! | EDA, Cleaning & Feature Engineering- Ai panthiya
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2.06මේ Dataset එක AI සඳහා Ready ද? | Bias, Privacy & Data Readiness - Ai Zero to Hero
Watch on YouTube ↗Understand and practise
List the data your chosen task needs and check its quality and access.
How Machine Learning Actually Works
Day 3 Handbook
Read alongside the lessons, review at your own pace or print a copy. PDF · 4.2 MB
3.01Machine Learning Lifecycle එක සම්පූර්ණයෙන් | Problem සිට Deployment දක්වා
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3.02Machine Learning වර්ග මොනවද? | Learning Types & Algorithm Families
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3.03Ai model එකක් ඉගෙනගන්නෙ කොහොමද? | Ai panthiya zero to hero
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3.04Train, Validate, Test සහ Predict අතර වෙනස! Training, Validation, Testing
Watch on YouTube ↗Day 3 · Video 05
This lesson will appear here when it is published.
Day 3 · Video 06
This lesson will appear here when it is published.
Understand and practise
Describe your problem, inputs and expected output before choosing tools.
Pattern Discovery, Forecasting and Evaluation
Day 4 Handbook
Read alongside the lessons, review at your own pace or print a copy. PDF · 4.2 MB
Day 4 · Video 01
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Day 4 · Video 02
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Day 4 · Video 03
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Day 4 · Video 04
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Day 4 · Video 05
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Day 4 · Video 06
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Understand and practise
Choose a suitable algorithm and explain how you would evaluate it.
Deep Learning and Generative AI
Day 5 Handbook
Read alongside the lessons, review at your own pace or print a copy. PDF · 4.2 MB
Day 5 · Video 01
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Day 5 · Video 02
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Day 5 · Video 03
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Day 5 · Video 04
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Day 5 · Video 05
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Day 5 · Video 06
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Understand and practise
Compare a conventional model with a Deep Learning or Generative Ai approach.
Building AI Applications
Day 6 Handbook
Read alongside the lessons, review at your own pace or print a copy. PDF · 4.3 MB
Day 6 · Video 01
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Day 6 · Video 02
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Day 6 · Video 03
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Day 6 · Video 04
This lesson will appear here when it is published.
Day 6 · Video 05
This lesson will appear here when it is published.
Day 6 · Video 06
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Understand and practise
Complete a solution canvas for an application you want to build.
Production AI, Hardware, Responsibility and Final Project
Day 7 Handbook
Read alongside the lessons, review at your own pace or print a copy. PDF · 3.4 MB
Day 7 · Video 01
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Day 7 · Video 02
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Day 7 · Video 03
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Day 7 · Video 04
This lesson will appear here when it is published.
Day 7 · Video 05
This lesson will appear here when it is published.
Day 7 · Video 06
This lesson will appear here when it is published.
Understand and practise
Review your solution for privacy, fairness and human oversight.
Try another topic or view all days, including upcoming lessons.
Watch. Understand. Try it.
Explore the ideas and terminology behind each lesson.
Ai Dictionary →Use a practical resourceFind worksheets, checklists and guides for your next step.
Ai Resources →Compare algorithmsConnect your problem with suitable methods.
Algorithm Selector →Build somethingApply what you learn through a guided project.
Ai Projects →