Bassam Academy for Training, Consultation & Scientific Research
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Digital Transformation & AI

Machine Learning

An applied program introducing the fundamentals of machine learning, common algorithms, and how to build simple predictive models from data.

Duration

2 years

Language

Arabic & English

Section / Category

Digital Transformation & AI

Certificate

Accredited

Program Overview

The program covers the fundamentals of machine learning, from supervised and unsupervised learning to common classification and prediction algorithms, with a hands-on introduction to model-building tools and languages.

Training relies on practical exercises building simple machine learning models using real data, so participants leave with a working understanding of how these models function and how to apply them to solve real business problems.

Learning Outcomes

  • Distinguish between supervised and unsupervised learning
  • Explain how common classification and prediction algorithms work
  • Prepare raw data to train a machine learning model
  • Build a simple machine learning model and evaluate its accuracy
  • Identify opportunities to apply machine learning in their field

Admission Requirements

  1. 1 Basic familiarity with a programming language or willingness to learn one
  2. 2 Basic familiarity with statistics
  3. 3 Computer proficiency

Who it is for

  • Beginner data analysts and engineers
  • Those transitioning into artificial intelligence
  • IT staff

Where it runs

  • EGCairo
  • Live online

Upcoming intake dates in each city are confirmed on registration.

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