
Explore Scratch coding with Pictoblox and learn what a program is. Discover planning, writing, and testing, and use the drag-and-drop Dog Logs blocks to code animal projects.
Learn how to download, install, and sign up for Pictoblox, explore blocks, sprites, backdrops, and extensions, including artificial intelligence features, and share projects via a link.
Students will learn to code Toby to move left to right in Scratch with drag-and-drop blocks, using forever loops, edge bounce, and costumed walking animations.
Learn how to use arithmetic operators in Pictoblox Scratch by prompting for two numbers, performing addition, subtraction, multiplication, or division, storing the result in a variable, and displaying the outcome.
Learn how to draw structures in Scratch using the Pictoblox pen extension by setting a site variable, repeating steps, and using division to scale shapes like squares and circles.
Create a Scratch maze game by setting a 50% sprite, moving with arrows, resetting on black, and finishing at red with a sound.
Explore artificial intelligence and machine learning basics, including weak (narrow) AI, general AI, and super AI, and learn about supervised, unsupervised, and reinforcement learning with examples.
Learn how face detection works, compare knowledge-based rules to feature-based landmark methods, and apply real-time detection, bounding boxes, and applications like mobile unlock and surveillance.
Learn how to use the artificial intelligence extension to perform handwritten text recognition in a Scratch-like project, triggering actions like gifting boxes to John or Hazel based on OCR results.
Build a speech recognition project in Scratch using artificial intelligence and text-to-speech extensions, teaching a simple voice command system that plays Mario or Spider-Man songs and handles unrecognized commands.
Explore object detection and recognition in Scratch with pictoblox, using bounding boxes, feature extraction, and an AI extension to identify objects in images.
Explore an artificial intelligence based drawing app that uses fingertip detection and hand movements to drive a pencil sprite, drawing with the pen extension and camera input.
Explore machine learning as a subset of artificial intelligence, learn to build an image-based model with input, train, export, and deploy it in pictoblox Scratch projects.
Explore pose detection with machine learning in pictoblox, recording two poses, training a model, exporting it, and using it in scratch-like blocks with events and conditionals.
In this course, you will learn how to code at a very young age without any prior knowledge of coding as we will learn all the basic programming concepts at the beginning of the course. All you need is a will to learn and a keen interest in programming.
You will learn how to build logic and how to solve problems. You will be assigned simple yet interesting tasks, to improve and build your logic building and problem-solving skills.
You will learn the basic concepts of programming from scratch using pictoblox.
The great thing about this course is the topics covered in this course are explained in a very engaging yet interesting way that it becomes very easy to understand and implement.
You will be able to code and create your own AI projects using pictoblox.
We proceed by learning the in and out of the real-life applications of Artificial Intelligence and Machine Learning.
In today’s world, most of the products we are using are created with the help of AI and ML. Learning it at an early stage will help the kids understand how it works and what to do with it. Thus, allowing them to use it much more efficiently. Since AI is an integral part of our everyday life, kids need to learn AI. It created a great opportunity for them to understand how everyday products work. AI and ML is not only the future; it is also the present.