Learn AI & Machine Learning

Teaching computers to learn from data

Artificial Intelligence is about building software that can make decisions or predictions. Machine Learning does this by learning patterns from data, for example recommending products or spotting fraud.

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6
Topics covered
5
Step learning path
4
Career roles
AI & Machine Learning: how it works
  • Machine Learning Engineer
  • Data Scientist
  • AI Developer
  • Data Analyst
Why it matters

Why learn AI & Machine Learning?

AI is being added to almost every kind of product and business.

You learn to work with data, which is useful in any technical role.

It builds strong problem solving skills and gives you projects you can show.

What you will learn in detail

  1. 01

    Python for Data Science & Numerical Computing

  2. 02

    Exploratory Data Analysis (EDA) & Feature Engineering

  3. 03

    Supervised Learning: Regression & Classification Models

  4. 04

    Unsupervised Learning & Customer Segmentation

  5. 05

    Deep Learning Foundations & Neural Networks

  6. 06

    Generative AI, LLMs, RAG Pipelines & Model Deployment

Roadmap

Your learning path

  1. Learn Python basics

  2. Work with data using pandas

  3. Train your first ML models

  4. Explore deep learning and AI tools

  5. Build and present a small AI project

  6. R2T - Root 2 Tech

    The destination

    Job ready with R2T

Ready to start with AI & Machine Learning?

Tell us about yourself and our team will get in touch.

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