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
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Senior Adventures in Artificial Intelligence - Week-long
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Senior Adventures in Artificial Intelligence – Week-long
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!
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 AI units and evolutionary computers. What are the best ways to create AI and Machine Learning without introducing built-in bias.
Featured FAQ
What are the course instructors like?
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science …
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science and Engineering students from the UK's leading universities.
All our instructors undergo in-person training from the Fire Tech team in the curriculum of the course they are teaching, in the Fire Tech mission and values, and in our Child Safety Policies. We select our instructors on technical expertise but also for great communication skills and a real passion for their subject.
Course Overview
Led by our tech-loving instructors, you’ll create a home of the future using Artificial Intelligence (AI), program 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!
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!
This is an online learning course led by an onscreen expert who is fully DBS-checked. You will join a small group of other young learners online, working together and making lots of progress in fun and engaging sessions. All classes are monitored and recorded for safety.
This course is also available in part-time formats.
Course ratings
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How much did you enjoy your course? Score: 4.5/5 |
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How would you compare your experience at Fire Tech to school? Score: 4.2/5 |
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How likely are you to create with technology for fun, using the skills you learned? Score: 4.1/5 |
Source: Post-course feedback, 168 ratings, Apr 2020 – June 2021
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
All Day
Part Day
1 hour
Lesson time
15 minutes
Break
1 hour
Lesson time
1 hour
Lunch
45 minutes
Lesson time
15 minutes
Break
45 minutes
Lesson and finish
1 hour
Lesson time
10 minutes
Break
50 minutes
Lesson and finish
