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Introduction to AI and Signal Processing

BEGINNER COURSE

This beginner online course will show you the basics of AI principles and ethics, and introduce Signal Processing using Machine Learning. Learn about signals and statistics, and how to analyse, optimise and process signal data using Python. 

Limited Spots

Limited to 40 Learners

35 Lessons

+1hr/Day, 1 Week

100% Online

Flexible Learning

Practical Skills

Exercises & Quizzes

Certificate

Prove Your Skills

Why should you learn Signal Processing?

BEGINNER COURSE

Signal processing combines mathematics, physics, and computer science, which makes it a fascinating field that offers endless possibilities for innovation and creativity! 

Now, Imagine being a part of a field that’s valued at $230 billion and growing. Data science and machine learning are revolutionising industries from healthcare, climate analysis, and audio production to transportation, and the demand for experts in this field are skyrocketing. 

Don’t miss out on the opportunity to be at the forefront of shaping the future and join the AI revolution today!

Course Overview

SKILL LEVEL: BEGINNER

AGES: 11 – 18

COURSE PRICE: £149

COURSE DURATION: +8 HOURS

TOOLS YOU NEED

  • Google Colab
  • Laptop/Computer
  • Internet Connection

This course includes

  • Access to a global learning community of teens and instructors
  • Certificate of completion

*Do you have the desire to learn more about image processing and would benefit from a scholarship? We want to help you.

Our Course Dates

27 March – 3 April 2023

40 Spots Available

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29 May – 5 June 2023

40 Spots Available

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Course Outline

EXPLORE EACH MODULE:

Your Title Goes Here

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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

How do we build AI safely? 

In this video, 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.

SIGNAL, STATISTICS AND PROBABILITY

What is a signal anyway? After this part of the course, you will learn a basic definition of a Time Series. Using that as a starting point, you will learn the definitions of Mean, Median and Standard Deviation.

TOOLS FOR WORKING WITH SIGNALS

When dealing with data, there are essential tools and concepts you will need to know and use. You will learn the basic ideas of a Fourier Transform, denoising techniques, and enveloping.

TRAINING AND TEST SETS, REGRESSION, INTERPOLATION

The idea of forecasting using machine learning will be covered in this section of the course. An easy introduction to linear regression will be provided to get things started. We will also talk about polynomial regression after describing the limitations of linear regression. As this will be our first predictive analysis, you will learn how to apply a train-(validation)-test split to a dataset and how to evaluate your performance. 

OUTLIERS, GAUSSIAN PROCESS REGRESSION

A Data Scientist must at least be aware of what Outlier Detection is. In this part of the course, we will explore the general idea of Outlier Detection  and we will implement a  Machine Learning tool to explain how it works and how it can be applied in a real dataset.

PROJECT BUILDING

Get ready to take the skills you’ve learned and put them to the test in an exciting real-world project! You’ll be diving into the world of Signal Processing and using cutting-edge techniques to analyse and transform signals in ways you never thought possible!

Free Lesson

Watch Chapter 1 For Free!

We know you’ll be itching to learn more about Signal Processing once you’ve gone through our free preview of this course! 

Feed your curiosity

STAY AHEAD OF THE CURVE

What You Will Learn

Design AI for good

Explore the basics of AI, how it works and how to use it responsibly.

Grow your personal skills

Develop your critical thinking and problem-solving skills

Learn to code with Google Colab

Use python libraries for Machine Learning like SciPy, Numpy, PyWT,  and sklearn.

Explore data analysis

Gain the essential tools of data science and apply mathematical concepts such as probability and statistics to solve practical problems.

Unlock the power of Machine Learning

Learn signal analysis, work with databases and various Machine Learning algorithms.

Critical thinking and problem solving skills

Develop critical thinking and problem-solving skills.

Kickstart Your Career In AI

Learn

Our instructors are AI experts who have worked on real-world projects and will teach you the essentials.

Achieve

You’ll learn practical skills that can help you solve complex problems and develop creative solutions.

Succeed

With our course, you’ll be ready for future career opportunities across many different industries.

This Is For You If…

  • RYou are curious about AI
  • RYou want to pursue a career in AI and Machine Learning
  • RYou want to meet other teens who are passionate about tech
  • RYou want to work on real-life examples to test your skills
  • RYou are looking to develop your critical thinking and problem-solving skills
  • RYou don’t have any coding experience and want to develop your tech skills

Meet Our Experts

PIERO PAIALUNGA, PhD

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. 

Well versed in the topics of Machine Learning and Data Science, Piero takes complex systems and unpacks them in easy to understand ways. 

Among his numerous accolades, Piero is one of six students to have been selected as a UC Space Research Institute Fellow.

PIERO PAIALUNGA, PhD

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. 

Well versed in the topics of Machine Learning and Data Science, Piero takes complex systems and unpacks them in easy to understand ways. 

Among his numerous accolades, Piero is one of six students to have been selected as a UC Space Research Institute Fellow.

ELENA SINEL FRSA

Multi-award-winning founder of Teens in AI and impact-driven social entrepreneur on a mission to inspire young people across the world to explore a future in tech and AI through collaborative hands-on learning experiences.

Elena Sinel is a sought-after keynote speaker and policy adviser with a passion for diversity in tech focusing on female empowerment. Trusted by global FTSE 100 companies and governments to integrate the skills of tomorrow into educational systems today.

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.

“It was as informative as it could get. You don’t need any prior knowledge and it’s easy and simple.”

Abdullah

Pakistan

“It is a really amazing opportunity.”

Mohammed

Tunisia

“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.”

Veshaya

South Africa

Frequently Asked Questions

Your Title Goes Here

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WHAT IS IMAGE PROCESSING?

Image Processing is the technology used to collect and analyse important information from images.

HOW LONG WILL IT TAKE TO COMPLETE?

This course will release on the 15th of December 2022. You have 2 weeks to access the course and complete the course activities and project. You can choose when to learn, complete activities, and set your own learning goals during your own time.

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.

DO I HAVE TO ALREADY KNOW CODING?

No! No coding experience is required. Our courses are designed to increase your coding knowledge and improve your skills.

WILL I GET A CERTIFICATE?

Yes! After successful completion of the course you will receive a Certificate of Completion.

WHO SHOULD I CONTACT IF I HAVE MORE QUESTIONS

For more information, please contact Alanna at [email protected]

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