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A.I. Machine Learning

Age guide: 12 to 16

95% Recommended!

Location Fees Virtual Camps

Parts 1 & 2: Full Course £445 £495
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Machine learning is a subset of artificial intelligence (AI), that simulates human learning patterns to learn, grow, update, and develop itself by continually assessing data and identifying patterns based on past outcomes. 

Virtual assistants (Alexa, Google, and Siri), fraud detection, face recognition and traffic predictions are just some of the uses of machine learning in the world today. 

On the FunTech artificial intelligence course for kids, your child will learn to develop a Chatbot. This simulates human-like conversations, using conditional logic, neural networks, natural language and so much more - branching into one of the most exciting and cutting-edge areas of technology.

Virtual course format

Our camps have been restructured into two parts that can be taken as one week courses.

  Mon - Fri
Part 1
Beginner to Intermediate		 AM or PM
Part 2
Advanced		 AM or PM
Part 1 & 2
Beginner to Advanced 		Full Day*

 

* Recommended for older children

What your child will learn

Pre-requisites: Yes

  • 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

Pre-requisites

To benefit from this course your child will need to have all the skills taught on our Python Coder Part 1 & 2 course:

  • Output (Print, Style)
  • Variables (Data Types, F-Strings)
  • Mathematical Operators (Addition, Subtraction, Multiplication, Division, Modulo)
  • Input (Casting)
  • Random Numbers
  • Debugging
  • Branching (If, Else, Elif)
  • Relational Operators (Equals, Less Than, Greater Than, Not Equal To)
  • Logical Operators (NOT, AND, OR)
  • Iteration (While Loops)
  • Commenting
  • Output Formatting
  • String Manipulation (Capitalisation, Substrings)
  • Lists (Creation, Appending, Deleting)
  • Iteration (For Loops, Lists, Ranges)
  • Algorithm Introduction (Linear Search, Bubble Sort)

Full course info

And also our Python OOP Parts 1 & 2 course:

  • File Handling (Write, Append, Read)
  • Functions (Parameters, Arguments, Return)
  • Classes
  • Objects
  • Instance Variables
  • Instance Functions (Constructors)
  • Inheritance
  • Polymorphism (Overriding)
  • tkinter Introduction
  • Windows (Size, Title)
  • Labels (Text, Font, Colour)
  • Canvas (Lines, Shapes, Editing)
  • Entry (Font, Colour, On Enter)
  • Buttons (Text, Font, Colour, Style, Command)
  • Events (Mouse, Keyboard)

Full course info

Choose the camp option that’s right for you

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Tech requirements

    Chromebooks and iPads are not supported

Internet speed requirements

  • 5Mbps download speed and 3Mbps upload speed (per user)
  • If using FunTech Virtual Machine at least 6Mbps download speed and 6Mbps upload speed; lower speeds will work, but the quality of the remote computer experience will deteriorate (per user)

Find internet speed:  Test my speed

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

Find your computers’ tech specs:  Windows  |  Mac

IMPORTANT – FREE TECHNICAL SUPPORT

Course software must be installed before the start of the camp. Instructions on how to do this will be in your FunTech Parent Portal and includes free technical support.

If the software is not installed prior to the start of the camp, then your child will miss some of the course and their may be an additional charge to catch up on missed content.

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.

Choose the camp option that’s right for you

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