Fire Tech Camp was a great experience and the best camp I've ever been to. I think the camp does a great job in combining fun with learning.
Emma, 13yr old programmer
Senior Adventures in Artificial Intelligence – In Person
Machine Learning and A.I for kids
Artificial Intelligence (AI) is the hottest topic in tech. Learners will build AI models to control autonomous vehicles and smart homes, and try to predict a movie’s success based on its poster. The ideal course to inspire further learning in AI.
For online courses: these require you to have a capable computer to work on and a broadband internet connection.
For in person courses: you will need a laptop with the same specification, please see below for more information. If this is a problem or you are unsure about anything, please contact us via info@fire-tech.com
Most PC/Mac computers from the last 5 years will be fine but you can view our recommended detailed system requirements here
For in person courses: you will need a laptop with the same specification, please see below for more information. If this is a problem or you are unsure about anything, please contact us via info@fire-tech.com
Most PC/Mac computers from the last 5 years will be fine but you can view our recommended detailed system requirements here
_Pick your start date
Senior Adventures in Artificial Intelligence - In Person
resetIn this course picker times will be displayed in timezone chosen above but all times shown elsewhere will reflect the UK Times these events take place.
August
London - Chelsea Academy
Course highlights
AI in the world today
Learn how AI is being used in the world right now, from autonomous cars to applications in medicine. We'll explore how these work, as well as the positives and negatives we need to be aware of.
Make a smart home smarter
Using AI and Machine Learning we will look at the ways we can a smart home smarter.
Machines of the Future
We'll look at machines of the future such as robots, nanobots, collective A.I. units and evolutionary computers. What are the best ways to create AI and Machine Learning without introducing built-in bias.
Course Overview
Led by our tech-loving instructors, you’ll create a home of the future using Artificial Intelligence (AI), programme an autonomous vehicle to avoid pedestrians and objects on the road, and use IBM Watson to build a series of AI models that can recognize a celebrity Twitter account based on their tweets. The possibilities are endless.
But this course does more than teach the fundamentals of AI. It also explores issues of computer bias, ethics and the moral dilemmas programmers face when using AI. This is the ideal course to spark interest in this important and dynamic technological field, and will inspire students to continue their learning journey in AI.
AI is becoming an integral part of our lives, evolving and developing faster than we think. It’s being used in medicine to spot cancer cells, courtrooms to help determine the risk of criminals re-offending, as well as in art to create new art from analysing music from composers like Brahms. PwC estimates AI deployment will add $15.7 trillion to global GDP by 2030. Interested? We thought so!
Read our interview A.I. expert Professor Michael Luck to learn more!
This course is also available in part-time and in-person formats.
What your child will learn
- Confidence in writing and creating AI models
- To incorporate AI and Machine Learning into an app.
- To use text based AI to identify celebrities by their tweets.
- The fundamentals of Machine Learning and what confidence means in an AI model.
- About the functions AI can perform really well and how they are being used in the world already.
- How to create an AI that will tell you how good a film might be based upon its poster.
- How to use algorithms and functions as well as how to test and debug AI and Machine Learning models.
Typical daily schedule
In Person
1.5 hours
Kick off
20 minutes
Break
1.5 hours
Lesson time
45 minutes
Lunch
2 hours
Lesson time
20 minutes
Break
1 hour
Lesson time
15 minutes
Plenaries and finish
