GARNETأكاديمية جارنت · Academyالعربية

AI & Future Skills

Machine Learning: Leadership Edition

This Machine Learning training course (Leadership Edition) is a leadership edition for managers who set direction, budgets and performance targets. It combines international standards with practical cases from the Gulf, Africa and Europe.

Code: AI603Level: Leadership EditionField: AI & Future SkillsFormats: 5 or 10 days · classroom, online, in-house
Register on WhatsAppعرض الصفحة العربية

Objectives

  • Explain the core principles, terminology and governing standards of Machine Learning
  • Apply proven methods and tools for Machine Learning to real workplace situations
  • Analyse performance data to find risks, gaps and improvement opportunities
  • Compare your practice with international benchmarks and regional case studies
  • Build a practical action plan to apply Machine Learning in your organisation

Who should attend

Professionals and leaders preparing their teams for AI, automation and new ways of working.

Course outline — 5 days

  1. Day 1
    Principles, terminology and governing standardsMachine Learning
  2. Day 2
    Methods, tools and calculationsMachine Learning
  3. Day 3
    Operation, inspection and performanceMachine Learning
  4. Day 4
    Risk, troubleshooting and case studiesMachine Learning
  5. Day 5
    Best practice, assessment and action planMachine Learning
10-day outline
  1. Day 1
    Principles, terminology and governing standardsMachine Learning
  2. Day 2
    Methods, tools and calculationsMachine Learning
  3. Day 3
    Operation, inspection and performanceMachine Learning
  4. Day 4
    Risk, troubleshooting and case studiesMachine Learning
  5. Day 5
    Best practice review and mid-course assessmentMachine Learning
  6. Day 6
    Advanced analysis techniquesMachine Learning
  7. Day 7
    Digital tools, data and softwareMachine Learning
  8. Day 8
    Practical labs and simulationsMachine Learning
  9. Day 9
    Regional benchmarks and lessons learnedMachine Learning
  10. Day 10
    Capstone project and final assessmentMachine Learning

Upcoming sessions 2027–2030

CityDatesDuration
Doha16 May 2027 – 20 May 20275 days
Nairobi28 Jun 2027 – 2 Jul 20275 days
Kuwait City27 Jan 2030 – 7 Feb 203010 days
Cape Town4 Mar 2030 – 8 Mar 20305 days
Zurich20 May 2030 – 24 May 20305 days

No public session is listed yet. We can run this course in any city on your dates, online, or at your company.

Related courses

More in this field

See all →

Chat on WhatsApp