Understanding Images and AI
BEGINNER COURSE
Calling all curious teens! Dive into the thrilling world of image processing and learn about the endless possibilities of Artificial Intelligence (AI) across various industries.Â
No experience with coding or AI? This beginner course is made just for you!
đź’° Price: ÂŁ75
🎓 Certificate included
🚀 13 – 19 age range
đź’» 100% online
📆  Flexible, self-paced learning
🎯 Practical challenges and quizzes
⏰ 8+ Hours to complete (4 weeks, 2 hrs per week)
Learning grants available
We are committed to widening access to tech and AI. If course funding is difficult please complete the form below and we will be in touch soon.
Course Overview
Tools You Need
Google Colab
Laptop/Computer
Internet Connection
STAY AHEAD OF THE CURVE
What you will learn
Build responsible AI
Explore basic concepts of Artificial Intelligence; how it works and how to use it responsibly.
Image Processing techniques
Learn basic Image Processing techniques widely practiced in the industry.
Code in Google Colab
Code in Google Colab and work with Python Libraries for Machine Learning like Pandas, Numpy, PIL, matplotlib and sklearn.
Work with Machine Learning algorithms
Expand on Computer Science principles by working with databases, and learning various Machine Learning algorithms.
How to solve real-world problems using AI
Use applied maths skills such as probability and statistics to solve real problems.
Critical thinking and problem solving skills
Develop critical thinking and problem-solving skills.
Meet Your Instructor
Piero Paialunga
Machine Learning Engineer, Gen Nine Inc.
Artificial Intelligence and Climate Change Writer
Machine Learning + Python | Aerospace Engineering | Climate Change
A PhD student in Aerospace Engineering at the University of Cincinnati with a Master’s Degree in Physics and Data Scientist, Piero Paialunga is an expert in his field who now works as a Machine Learning Engineer at Gen Nine Inc.
Skilled in Machine Learning and Data Science, Piero takes complex systems and unpacks them easily. Among his numerous accolades, Piero is one of six students to have been selected as a UC Space Research Institute Fellow.
Course outline
EXPLORE EACH MODULE
Your Title Goes Here
Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.
INTRODUCTION TO AI
What is AI and what can you create with it? We will explore the concepts of AI, Intelligence, Automation and Machine learning, and learn about data-handling for AI and machine learning tasks. You will also see how algorithms work and some examples of AI using real-world applications.
INTRODUCTION TO AI ETHICS
In this lesson, you will be provided with an understanding of ethical considerations and implications surrounding the development and use of artificial intelligence. Through case studies, you will see examples of ethical issues that have been addressed in real-world scenarios. Additionally, you will be introduced to best practices for responsible and ethical AI development. By the end of the video, you will have a solid foundation in the key concepts and issues related to AI ethics.
VECTORS, TENSORS AND MATRICES
Reading an image in black and white or reading an image in various colours. Concepts like an array, matrix, and tensor will be defined and explored. For us, an image is something that can evoke feelings, emotions, and thoughts. For a computer, an image is a matrix of numbers! After this part of the course, you will learn how a computer reads both a black and white image and a coloured one using RGB.
BIG DATA + PRINCIPAL COMPONENT ANALYSIS
Compressing the information of data using Principal Component Analysis. In the era of Big Data, storing the information in the simplest way possible is crucial. After this part of the course, you will learn what Principal Component Analysis is, will explore the curse of dimensionality problems, and will learn how to compress the information of data.
TRAINING AND TEST SETS, PROBABILITY, BAYES RULE
Arguably, one of the most important tools in Image Processing is Image Classification. Applying what you have seen in the first chapter, you will be able to familiarise yourself with different methods of classification, using the built-in digits dataset.
COLOUR DETECTION, SUPERVISED + UNSUPERVISED LEARNING, K MEANS
Using an unsupervised Machine Learning method to detect colours in an image. We all have our favourite colours, and we may associate colours with feelings: for some, blue is sadness and green is envy. Yet, for a computer, these colours are sequences of numbers that are not attached to emotions. After this part of the course, you will be able to distinguish the colours in an image in an unsupervised way, using Machine Learning.
PROJECT BUILDING
Imagine taking the amazing concepts you’ve learned in this course and bringing them to life in a thrilling real-world project. You’ll be delving into the fascinating field of Image Processing and using state-of-the-art techniques to transform and analyse images in ways you never thought possible!
Why learn Image Processing?
UNLEASH YOUR CREATIVITY
Image Processing is a fascinating field within Machine Learning.
When built with computer vision, it gives robotic applications the ability to see, act and learn using Image Processing techniques.
You’ll see the power of image processing in your camera filters, and even in diagnosing illnesses through improved image scans.Â
This course caters to teens who are fascinated and inspired by the space of Artificial Intelligence, Machine Learning and image manipulation.
“It made me even more interested in AI than I was before. Piero was a great instructor who explained not only the basics of a complicated topic but also some more in-depth parts in an intuitive way.”
“It was as informative as it could get.
You don’t need any prior knowledge and it’s easy and simple.
“I really enjoyed this course! I had so much fun and learnt so much in such a short time. This course really showed me what I am capable of, and it has taught me so much.I am so grateful for having the opportunity to complete this course.”
Frequently asked questions
Your Title Goes Here
Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.
HOW DO YOUR PAYMENTS AND REFUNDS WORK?
Our payment and refund process is designed to be straightforward and customer-friendly through a secure payment gateway. All payments made are the country specific equivalent of the Great Britain Pound (GBP). For the most accurate and up-to-date details on our refund policy, refer to our “Terms & Conditions of Business.”
WHY IS THIS COURSE VALUABLE?
Image processing and AI are at the forefront of technological innovation. Knowledge in this fields can open up opportunities for careers in fields such as computer vision, robotics, and data science. Image processing can be used to create new forms of art, such as generative art and digital media. By learning these skills, you can express your creativity in unique ways.
HOW LONG WILL IT TAKE TO COMPLETE?
On average, this course takes approximately 2 weeks to complete if you do 1-2 hours of work per day. You can choose when to learn, complete activities, and set your own learning goals during your own time within the week.
WHAT TOOLS DO I NEED TO PARTICIPATE?
You will need a good internet connection, and a laptop/PC. Parts of the curriculum may require you to create a free account to access tech tools.
WILL THERE BE ANY PROJECTS OR ASSESSMENTS?
The course will put the theory into practice, and provides various activities to do, including building a image processing project using all the techniques covered in the course.
Still have more questions? Visit our AI Adventures FAQs
