Cloud Institute
Faculty

Taught by people who still build

Every instructor holds a current industry role or has left one within the past two years. Class content is rewritten each intake to match what their teams actually use.

Portrait of Ayesha Khan

Ayesha Khan

Lead Instructor — AI Development

11 years building production ML systems, previously staff engineer on a fraud detection platform serving 40 million users.

Deep learningMLOpsPyTorch
Portrait of Daniel Moore

Daniel Moore

Senior Instructor — Web Development

14 years shipping web products, from agency work to a payments team where he owned the checkout front end.

TypeScriptNode.jsAccessibility
Portrait of Sana Rehman

Sana Rehman

Instructor — Machine Learning

PhD in applied statistics and eight years as a research scientist working on forecasting for energy grids.

StatisticsForecastingscikit-learn
Portrait of Marco Oliveira

Marco Oliveira

Instructor — Data Science

Nine years turning messy operational data into decisions for logistics and retail teams across two continents.

SQLPandasVisualisation
Portrait of Hina Yousaf

Hina Yousaf

Instructor — Prompt Engineering

Led an internal AI enablement team, writing the evaluation rubrics now used across three business units.

EvaluationLLM workflowsAutomation
Portrait of Elias Brandt

Elias Brandt

Instructor — Cyber Security

Twelve years in offensive security and incident response, including four running a red team for a bank.

Threat modellingNetwork securitySecure coding
How we hire faculty

Three rounds, and a class we watch

Teaching well is a separate skill from building well, so we test both. Candidates who pass the technical rounds teach a live 45-minute session to real students, and those students decide whether the hire goes ahead.

  • Minimum eight years of hands-on industry experience in the subject.
  • A recorded teaching sample reviewed by two current instructors.
  • A live trial class scored by the students who attend it.
  • Annual review against cohort outcomes, not attendance numbers.
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