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A.I. Machine Learning

Age guide: 12 to 16

96% Recommended!
Course Options
Part 1 OR 2
Part 1 AND 2
Standard Fees
£395
£545
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From Python Coder to AI Developer

On our AI & Machine Learning course, your child will build on their Python skills to create real artificial intelligence models, coding neural networks, building machine learning systems, and creating intelligent programs that can see, interpret and respond to real-world data. From writing Python code that build systems that learn, recognise patterns and make decisions, this course is a hands-on step into real-world AI development.

Course Journey

This course begins with Google Colab with a short diagnostic to confirm your child has the Python skills required for the course. From there, they'll move onto learning AI concepts, including classifiers, facial recognition, sentiment analysis and landmark detection. They’ll learn how machine learning models are trained, tuned and evaluated, gaining hands-on experience with neural networks and convolutional systems.

As the course progresses, they’ll explore natural language processing and build their own chatbot using real text datasets. They’ll also work with TensorFlow, a professional-grade AI framework used by developers worldwide. Key topics include image and text classification, data preparation, optimisation, regression, and model deployment, all delivered through hands-on coding and real-world applied challenges.

Final Outcome

By the end of the course, your child will have developed and deployed their own AI systems, explored key concepts like regression, normalisation and convolutional networks, and gained experience with the tools behind today’s most advanced technologies, equipping them with future-ready skills in one of tech’s fastest-growing fields.

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What your child will learn

 

Full Course

Pre-requisites: Python Coder & Python OOP

  • Rapid Recap (Variables, Conditional Statements, Loops, Functions, Libraries, Inputs, Substring operations, OOP)
  • Machine Learning and AI (Artificial Intelligence)
  • Chatbots
  • Google Colab
  • Conditional Logic
  • Neural Networks
  • Face Detection
  • Landmark Detection
  • Classifiers
  • Natural Language Processing
  • Entity Recognition
  • Sentiment Analysis
  • Tensorflow
  • Appropriate Data Selection
  • Digital Recognition
  • Convolutional Neural Networks
  • Regression
  • Normalisation

Virtual course format

 

Our A.I. - Machine Learning course consists of two parts, which can be taken separately or as a full day course:

 

Part 1

Beginner to intermediate

AM or PM

Part 2

Advanced

AM or PM

Part 1 & 2

Beginner to Advanced

Full Day*

* Full Day option ideal for children who can maintain focus for longer sessions.

Choose the camp option that’s right for you

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Tech requirements

 

Device Compatibility
Not Supported: Chromebooks & iPads
Supported: Windows & Mac
Internet Requirements
Standard Use: Minimum 5Mbps download / 3Mbps upload per user
FunTech Virtual Machine: Minimum 6Mbps download / 6Mbps upload per user
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Minimum System Requirements
  • OS: 64-bit Windows 7 or later or OS X 10.11 or later
  • Processor: 1.5GHz or faster 
  • Memory: 4GB (4,096MB) RAM
  • Free HDD space: 3GB 
  • Hardware: keyboard, mouse, and headset with microphone
  • Admin access required

Check My Computer Specs:  Windows >    Mac >

Software Installation Required

All course software must be installed before camp begins.

  • Instructions will be available in your  FunTech Parent Portal 3 weeks before the camp.
  • Free tech support is available until 72 hours before camp. After that, support is charged at £55/hour.
  • If Installation is needed during the camp, it’s charged at £75/hour and a catch-up session may be required.

Please check your Parent Portal early to avoid delays.

Choose the camp option that’s right for you

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About this camp

If your child is already a Python master, this course will seamlessly guide them into the captivating world of AI. Machine Learning takes centre stage, where your child will unveil the secrets of algorithms and models that empower machines to learn and make decisions.

Exploring Natural Language Processing offers an intriguing dive into linguistic nuances, covering entity recognition and sentiment analysis. We also introduce Tensorflow, a prominent tool in the field of AI, as a means to craft and deploy intelligent models.

Moving forward, the focus shifts to conditional logic, allowing your child to unravel the power of decision-making in AI systems. While exploring Neural Networks, they'll gain an understanding of the intricacies of interconnected nodes, leading to applications like face detection, landmark detection, and classifiers.

The course embraces a hands-on approach to data selection, exploring the nuances of choosing appropriate data for effective AI solutions. As your child delves into convolutional neural networks, regression, and normalization techniques, they’ll even craft their own digital recognition network.

Whether it's the art of crafting chatbots, refining image recognition, or creating personalized recommendation engines, the course empowers your child to turn imagination into innovation.