The California Institute of Technology (Caltech) offers an introductory course on fundamental aspects of machine learning (ML), encompassing basic theory, algorithms, and their practical applications. Machine Learning is a crucial technology within the realm of Big Data, exerting significant influence across various sectors such as finance, medicine, commerce, and scientific research. Its transformative capacity allows computational systems to dynamically enhance their performance through experiential learning gleaned from observed data. This course finds a good balance between theory (the ideas behind things) and practical use (how you apply those ideas in the real world). Covering both the mathematical part and the practical side, the lectures ensure a well-rounded understanding.

The course addresses the following fundamental questions:

  • What constitutes learning?
  • Can machines truly learn?
  • Strategies for effective implementation
  • Best practices for optimal performance
  • Key takeaways for practical application


Source :  European Digital Skills & Jobs Platform


Competence Area

Information and data literacy


  • Advanced technologies (AI, blockchain, IoT, big data etc.)

Course Eligibility

  • 18-29 years old
  • 30-54 years old
  • >55 years old

Website link

Training webpage

Digital technology / specialisation

  • Machine Learning

Digital skill level

  • Basic
  • Intermediate
  • Advanced
  • Digital Expert

Geographic Scope - Country

  • European Union

Type of initiative

International initiative

Target audience

  • Digital skills for the labour force.
  • Digital skills in education.
  • Digital skills for all

Target language

  • English

Target group

  • High Achievers
  • Non-Native Speakers
  • Persons in tertiary education (EQF 6)
  • Persons who have completed tertiary education (EQF 7)
  • Persons with 0-3 years work experience
  • Persons who have completed tertiary education (EQF 8)
  • Persons in tertiary education (EQF 7)
  • Persons in tertiary education (EQF 8)
  • Persons with 3-10 years work experience
  • Persons with 10+ years work experience
  • Native Speakers
  • Persons who have completed tertiary education (EQF 6)

Typology of training opportunities


Training duration

Up to 4 weeks

Credential offered

Learning activity