AI and Machine Learning Course

DON’T JUST USE AI. BUILD AI.

An advanced course for students aged 10–16 to master AI and machine learning.
A deep dive into machine learning, neural networks, and generative AI — taught through hands-on projects and datasets.

Advanced course in artificial intelligence fundamentals

What Students Will Cover

  • Module 1: Introduction

    Module 1: Introduction

    Basics of AI, terms related to AI and ML

    Gradient descent optimization algorithm

    Regression – linear, multiple, and logistic

    K-NN classifier

    Decision trees and random forest algorithm

    Ability to differentiate between different types of learning algorithms and their use cases

  • Module 2: Neural networks

    Module 2: Neural networks

    Introduction to neural networks

    Perceptron NN and its components (weights, biases)

    Activation functions (sigmoid, ReLU, tanh)

    Feedforward neural networks

    Convolutional neural network

    Support vector machine: linear and non-linear

    Function approximation

    Learning to use open source datasets like MNIST, Kaggle

  • Module 3: Deep learning

    Module 3: Deep learning

    Deep learning and its applications

    Generative AI, generative adversarial networks (GANs)

    Variational autoencoders (VAEs) model

    Large language models

    Retrieval-augmented generation (RAG)

    Image captioning and neural style transfer

    YOLO model for object detection

    Deep belief networks (DBNs) algorithm

    Self-organizing maps (SOMs) algorithm

  • Module 4: Reinforcement learning

    Module 4: Reinforcement learning

    RL basics and Q-learning

    Markov decision process

    Further reinforcement through custom projects

Lessons and content brought to you by a team from

Course Pre-Requisites

All students need to have a firm understanding of coding basics before starting this course.

Not sure what level you are on or are not a current Strive student?

Future careers

What this course can unlock for your child…

  • Data scientist

    Data scientist

    Analyze and model real-world data

  • AI engineer

    Build intelligent systems and applications

  • Game designer

    Game designer

    Create adaptive, intelligent game experiences

Looking for a simpler introduction?

Check out our AI-First Software development course and learn the basics of software development, assisted by AI tools.

  • If you are already doing coding classes with us you can continue on your same pricing per hour.

    New students can sign up for a new package, choosing a 4, 10 or 30 hour package. Contact us for detailed pricing packages!

  • No need to download anything! All you need is a computer with internet access, audio, microphone, and camera.

  • All software that needs to be downloaded will be covered in the first session.

  • We recommend using a computer or laptop for the best experience.

  • Each class is 1 hour long.

  • Classes are scheduled to fit your convenience. We have availability 24 hours a day, 7 days a week. Most popular times are limited.

  • Yes, classes are recorded for security and quality assurance, and to support students' learning.

FAQs

  • No, your hours never expire. Use them at your own pace!

  • We require 4 hours notice to cancel. We offer rescheduling with notice, otherwise, 30 minutes of the class will be charged.

  • You have the flexibility to cancel your subscription at any time, and we provide refunds for any unused hours. For instance, if John subscribes for 10 hours and decides to stop after completing 6 hours of classes, we'll refund the remaining 4 hours of the subscription.

  • Yes, all our 1:1 classes are conducted online.

  • Yes, we offer 2:1 classes. Each child will get a 12% discount on their subscription if they have classes with a friend.

  • Yes, your child’s teacher will remain the same. We also suggest that students consider changing teachers every five months. This allows them to experience different teaching styles and approaches, providing a broader perspective on their coding education.