What our teens are saying about this course:

5 star rating

Best signal processing course

Victoria

This course teaches you a wide range of skills and really develops your way of thinking and solving problems, I gained so much from it and will be taking more courses from teens in AI in the future!

This course teaches you a wide range of skills and really develops your way of thinking and solving problems, I gained so much from it and will be taking more courses from teens in AI in the future!

Read Less

Course Outline

    1. Welcome! 🌞

    2. What to expect in this course 🤓

    3. Course Support🤝

    4. Let's get to know you📝

    1. What is AI? 👀

    2. AI and Machine Learning⚡

    3. Introduction to AI Ethics 🌱

    1. Chapter Introduction ⛷️

    2. What is a Signal? 🌊

    3. Let's talk about Statistics 🍎

    4. Statistics Towards Probability 🔮

    5. Google Colab 🤝

    6. Coding Challenge 🚀

    7. Quiz Time - Appetisers🧩

    8. Chapter Survey - Appetisers 🌟

    1. Chapter Introduction ⛷️

    2. Tools to Work with Signals 🚧

    3. Fourier Transform 🐣

    4. Smoothing 🥓

    5. Coding Challenge 🚀

    6. Quiz Time - Tool Box🧩

    7. Chapter Survey - Toolbox 🌟

    1. Chapter Introduction ⛷️

    2. Interpolation📍

    3. Training and Test Sets 🛸

    4. Regression⚡

    5. Coding Challenge🚀

    6. Quiz Time - Back to the Future🧩

    7. Chapter Survey - Back to the Future 🌟

    1. Chapter Introduction ⛷️

    2. Supervised, Unsupervised Learning 🏷️

    3. Outliers 👽

    4. Gaussian Process Regression 🚀

    5. Coding Challenge 🚀

    6. Quiz Time - What are you doing here?🧩

    7. Chapter Survey - What are you doing here? 🌟

About this course

  • £75.00
  • 40 lessons
  • 2 hours of video content
  • 8 Hours
  • Beginner friendly
  • Certificate Included

What you will learn

  • Explore basic concepts of Artificial Intelligence, how it works and how to use it responsibly.

  • Learn some fundamental techniques used by Data Scientists, and use applied maths skills such as probability and statistics to solve real problems.

  • Learn about signal analysis, and expand on Computer Science principles by working with databases, and learning various Machine Learning algorithms.

  • Work with Python Libraries for Machine Learning like Pandas, Numpy, PIL, matplotlib and sklearn.

  • Develop critical thinking and problem-solving skills

  • Enhance career and university opportunities with a coding portfolio showcasing real-world machine learning projects.

Meet your Instructor

Piero Paialunga

Machine Learning Engineer, Gen Nine Inc.

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.

Frequently Asked Questions

  • What is Signal Processing?

    Signal Processing refers to the techniques used to accurately make predictions using the data collected from different signals like video, audio or even temperature.

  • 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 signal 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]