Course Content
Introduction to AI
0/3
Introduction to Artificial Intelligence
00:00
Introduction to Machine Learning
00:00
Introduction to Deep Learning and Neural Networks
00:00
AI with Teachable Machine and Scratch
0/4
Image Classification using TM
00:00
Using TM on Mobile Phone (mBlock app)
00:00
Face Sensing in Scratch
00:00
Voice Assistant (Alexa) in Scratch
00:00
AI Car with TM, Scratch and Microbit
0/2
AI Car (part-1)
00:00
AI Car (part-2)
00:00
AI with Scratch Cognimates
0/4
AI with Scratch (Cognimates) part-1
00:00
AI with Scratch (Cognimates) part-2
00:00
Simple Chatbot (part-1)
00:00
Simple Chatbot (part-2)
00:00
AI with Huskylens and Microbit
0/4
Face Mask Alarm (part-1)
00:00
Face Mask Alarm (part-2)
00:00
Smart Dog House (Object Recognition)
00:00
Surveillance System – Object Tracking
00:00
AI Art
0/1
Story with AI Art on Scratch App
00:00
ChatGPT
0/2
ChatGPT Kaam Kaise Karta Hai
00:00
ChatGPT se Seekhiye Scratch mein Games Banana
00:00
Linear Regression in Scratch (Pictoblox)
0/3
Marks Prediction Model in Scratch (Pictoblox), pt-1
00:00
Marks Prediction Model in Scratch (Pictoblox), pt-2
00:00
Marks Prediction Model in Scratch (Pictoblox), pt-3
00:00
ML on Arduino Nano 33 BLE Sense
0/2
Edge Computing and Machine Learning Models
00:00
Using Tiny Motion Trainer to create ML models
00:00
Artificial Intelligence, Machine Learning

    In this video, we will learn about Edge Computing and how to use a pre-trained machine learning based gesture recognition model on the Arduino Nano 33 BLE Sense board.

    AirSnare Project link: https://experiments.withgoogle.com/air-snare 


    Previous
    Next