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IT-008

Certified Artificial Intelligence Practitioner (CAIP)

Intensive 5-day course · English, Arabic & European languages

Project managers, team leaders, and office managers will investigate the core mechanisms of artificial intelligence and how to use them to solve business challenges. Delegates spend 5 days learning about machine learning, intelligent agents, and genetic algorithms to drive digital transformation.

Classroom

Public courses in our cities

  • 26–30 Oct 2026Doha£4,200 + VAT
  • 9–13 Nov 2026Barcelona£3,080 + VAT
  • 23–27 Nov 2026Abu Dhabi£4,200 + VAT
  • 14–18 Dec 2026London£3,360 + VAT
  • 28 Dec – 1 Jan 2026Jeddah£4,200 + VAT
  • 4–8 Jan 2027Frankfurt£2,600 + VAT
Show 23 more dates
  • 18–22 Jan 2027Jeddah£4,200 + VAT
  • 1–5 Feb 2027Rome£3,400 + VAT
  • 15–19 Feb 2027Singapore£4,200 + VAT
  • 8–12 Mar 2027Kuala Lumpur£1,800 + VAT
  • 22–26 Mar 2027Muscat£3,080 + VAT
  • 12–16 Apr 2027Barcelona£3,080 + VAT
  • 26–30 Apr 2027Casablanca£2,280 + VAT
  • 10–14 May 2027London£3,360 + VAT
  • 24–28 May 2027Manama£3,080 + VAT
  • 7–11 Jun 2027Frankfurt£2,600 + VAT
  • 21–25 Jun 2027Amman£3,400 + VAT
  • 5–9 Jul 2027Rome£3,400 + VAT
  • 19–23 Jul 2027Madrid£3,400 + VAT
  • 9–13 Aug 2027Kuala Lumpur£1,800 + VAT
  • 23–27 Aug 2027Berlin£3,400 + VAT
  • 13–17 Sep 2027Barcelona£3,080 + VAT
  • 27 Sep – 1 Oct 2027Milan£3,400 + VAT
  • 11–15 Oct 2027London£3,360 + VAT
  • 25–29 Oct 2027Malaga£3,080 + VAT
  • 1–5 Nov 2027Frankfurt£2,600 + VAT
  • 15–19 Nov 2027Sarajevo£3,400 + VAT
  • 6–10 Dec 2027Rome£3,400 + VAT
  • 20–24 Dec 2027Dubai£4,200 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options

Online (live)

With a trainer, on dates to suit your team

This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.

£1,850 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

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Course overview

Artificial intelligence allows organisations to automate tasks, reduce inefficiencies, and make smarter decisions. This course provides a practical foundation in AI technologies, explaining how they work and how they apply to sectors like finance, healthcare, and operations.

Delegates explore the basic concepts of machine learning, fuzzy logic, and probabilistic reasoning. The sessions demonstrate how neural networks classify data and how intelligent agents use logic to solve problems. Attendees learn to design and evaluate these intelligent systems through hands-on activities.

The course prepares professionals to bridge the gap between their current operations and an AI-driven future. It focuses on the capabilities and limits of these technologies, giving delegates the skills to implement effective AI solutions in their own organisations.

Course objectives

By the end of the course, delegates will be able to:

  1. Acquire essential AI abilities to finish tasks in less time
  2. Grasp methods for planning processes through logical frameworks
  3. Demonstrate how to mimic human neural networks for data classification
  4. Gain knowledge on constructing applications based on machine learning
  5. Conduct analysis and blueprint intelligent software solutions

Who should attend

This course suits:

  • Project managers
  • Office managers
  • Leaders
  • Professionals aiming to bridge the gap to the imminent AI era
  • Anyone interested in taking broad steps to enhance current business practices

Daily agenda

  1. Day 1

    Overview of Artificial Intelligence Technologies

    • Beginning concepts and real-life AI achievements
    • Contrasting human intellect with machine capabilities
    • Historical development and constraints of AI tools
    • Functions and responsibilities of intelligent agents
    • Automated approaches to making smart decisions
  2. Day 2

    Implementing Intelligent Agents

    • Primer on autonomous agent technologies
    • Various classifications of agents
    • Constructing databases and knowledge-based structures
    • Applying logical deduction and reasoning
    • The concept of unification in AI
  3. Day 3

    Fundamentals of Machine Learning

    • Contrasting supervised with unsupervised methodologies
    • Techniques for grouping and categorising data
    • Mechanisms behind artificial neural networking
    • Training algorithms using sample data
    • Recognising objects and extracting feature classes
  4. Day 4

    Applications of Fuzzy Logic

    • Basic principles behind fuzzy reasoning
    • Distinguishing probabilistic models from fuzzy logic
    • Formulating rules and sets within fuzzy systems
    • The significance of fuzzy controllers in practice
    • Creating a miniature machine learning model
  5. Day 5

    Optimising with Genetic Algorithms

    • Introduction to evolutionary computation techniques
    • Requirements for maximising and minimising outcomes
    • The evolutionary lifecycle of genetic algorithms
    • Concepts of genes, crossover, mutation, and chromosomes
    • Practical business process optimisation case studies

Certificate

Every delegate who completes the course receives an ARUK Training Certificate of Attendance.

Frequently asked questions

How do I register?

Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.

Are fees shown with VAT?

Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.

Can this course be delivered for our team only?

Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.

Is this course available online?

Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.

Is there a group discount?

Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.

Can the course be delivered in Arabic or another language?

Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.

What certificate will I receive?

An ARUK Training Certificate of Attendance.

Related courses

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Key booking terms (read before you register)
  • The full fee is paid in advance, before the course starts.
  • Cancel in writing 30 or more days before the start date (45 for in-house) for a refund. Later than that, the full fee is payable.
  • No refund for non-attendance or partial attendance.
  • Places are for the named delegate only; another person cannot attend instead.
  • Moving to another date or city is only possible if ARUK agrees in writing.
  • Travel, accommodation and visas are your responsibility. A refused visa does not change the cancellation terms.

booking terms and conditions

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