KUMIRADI
INTERACTIVE LECTURE SERIES
AI & Robotics Training Hub
Open any module below. Each page is designed for 2+ hours of class time: definitions, diagrams, conceptual explanations, interactions, and a quiz—written for beginners.
How the eight modules fit together — theory first, then specialisation, then governance and synthesis.
AI Prompts & Tools
Prompting guide, tools by category, builders (creative suites + prompt-to-app tools like Lovable/Emergent/Bolt/v0), mini labs.
Introduction to AI
Definitions, AI vs ML vs deep learning, history, types of AI, industry uses.
Programming for AI
Full-session depth: myths, Python reading, long ML walkthroughs, many app examples, scenarios & six activities.
Machine Learning
Long-form: ML pipeline, algorithm comparisons, retail/campus/industry examples, CNN–RNN–Transformer map, pitfalls, six self-check activities.
Robotics & Automation
Robots that see, think, and move — sensors, safe factory helpers, and everyday examples in plain language.
AI + IoT Integration
Connected gadgets (IoT), smart home ideas, on-device vs cloud, and simple security habits.
Computer Vision
How computers read photos — pixels, faces, text in pictures, and uses you already know.
Deployment & Ethics
Using AI in the real world: going live, watching for mistakes, fairness, and privacy — no jargon.
Practical Implementation
Small student project: pick a problem, build with sensors + AI, test, demo, and explain limits honestly.