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INVEX

AI Programming

Applied Machine Learning Bootcamp

Eight days building real machine learning models and evaluating them properly, away from the illusion of high accuracy.

IntermediateOn campusHybrid4.9(87)
4,500SAR
Start date
23 November 2026
Duration
8 days · 48 training hours
Seats
9 / 20

9 seats left

A one-minute introduction from the trainer

Added after the recording session

Your trainer

Dr. Lama Alharbi
Machine Learning & Recommender Systems

PhD in Computer Science; led machine learning teams in digital retail before moving to teaching full time. Believes a curriculum without an applied project is just a summary.

14 years of experience

Course outline

day by day

1

Days 1–2: Data preparation

  • Cleaning messy data
  • Feature engineering
  • Correct splitting that avoids leakage
2

Days 3–4: Classification and regression

  • Logistic regression and trees
  • Random forests and boosting
  • Reading feature importance
3

Days 5–6: Evaluation and tuning

  • Choosing the right metric
  • Cross-validation
  • Hyperparameter tuning
4

Days 7–8: Deployment and project

  • Packaging the model
  • A simple API
  • An assessed final project

What will you build?

  • A customer churn prediction model
  • An API serving the model
  • A professional evaluation report

Who is this course for?

  • Anyone fluent in Python wanting to enter machine learning
  • A data analyst moving into modelling

And who it is not for

  • Programming beginners — start with the Python course
  • Anyone looking for advanced deep learning

Prerequisites

  • • Solid Python basics
  • • Familiarity with descriptive statistics

Completion certificate

An accredited certificate with a QR verification code linking to your Thinkers Club profile.

INVEX

Accredited completion certificate

QR

The course includes

  • 48 training hours
  • Exclusive datasets
  • Individual project review
  • An accredited certificate

Trainee reviews

The most important thing I learned was not how to build a model, but discovering that my earlier models had been fooling me with fake accuracy.

Abdulrahman Alshammari

Application Developer

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