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IT-002

Artificial Intelligence (AI)-Based Cybersecurity Defense Strategies

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

IT managers, security analysts, and data scientists will learn how to use artificial intelligence to detect, prevent, and respond to cyber threats. During the five days, delegates build machine learning models, analyse deep learning techniques, and develop an AI-driven incident response plan.

Classroom

Public courses in our cities

  • 19–23 Oct 2026Istanbul£2,280 + VAT
  • 26–30 Oct 2026Jeddah£4,200 + VAT
  • 2–6 Nov 2026Vienna£3,400 + VAT
  • 9–13 Nov 2026Barcelona£3,080 + VAT
  • 16–20 Nov 2026Muscat£3,080 + VAT
  • 14–18 Dec 2026Paris£3,600 + VAT
Show 38 more dates
  • 21–25 Dec 2026Barcelona£3,080 + VAT
  • 28 Dec – 1 Jan 2026Manama£3,080 + VAT
  • 4–8 Jan 2027London£3,360 + VAT
  • 18–22 Jan 2027Amsterdam£3,400 + VAT
  • 18–22 Jan 2027Berlin£3,400 + VAT
  • 1–5 Feb 2027Istanbul£2,280 + VAT
  • 15–19 Feb 2027London£3,360 + VAT
  • 15–19 Feb 2027Milan£3,400 + VAT
  • 8–12 Mar 2027Vienna£3,400 + VAT
  • 15–19 Mar 2027Istanbul£2,280 + VAT
  • 22–26 Mar 2027Malaga£3,080 + VAT
  • 5–9 Apr 2027Vienna£3,400 + VAT
  • 12–16 Apr 2027Barcelona£3,080 + VAT
  • 19–23 Apr 2027Sarajevo£3,400 + VAT
  • 10–14 May 2027Paris£3,600 + VAT
  • 17–21 May 2027Barcelona£3,080 + VAT
  • 24–28 May 2027Dubai£4,200 + VAT
  • 7–11 Jun 2027London£3,360 + VAT
  • 21–25 Jun 2027Amsterdam£3,400 + VAT
  • 21–25 Jun 2027Riyadh£4,200 + VAT
  • 5–9 Jul 2027Istanbul£2,280 + VAT
  • 19–23 Jul 2027London£3,360 + VAT
  • 19–23 Jul 2027Doha£4,200 + VAT
  • 9–13 Aug 2027Vienna£3,400 + VAT
  • 16–20 Aug 2027Istanbul£2,280 + VAT
  • 23–27 Aug 2027Geneva£4,200 + VAT
  • 6–10 Sep 2027Vienna£3,400 + VAT
  • 13–17 Sep 2027Barcelona£3,080 + VAT
  • 20–24 Sep 2027Abu Dhabi£4,200 + VAT
  • 11–15 Oct 2027Paris£3,600 + VAT
  • 18–22 Oct 2027Barcelona£3,080 + VAT
  • 25–29 Oct 2027Cairo£2,280 + VAT
  • 1–5 Nov 2027London£3,360 + VAT
  • 15–19 Nov 2027Amsterdam£3,400 + VAT
  • 15–19 Nov 2027Jeddah£4,200 + VAT
  • 6–10 Dec 2027Istanbul£2,280 + VAT
  • 20–24 Dec 2027London£3,360 + VAT
  • 20–24 Dec 2027Singapore£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%

Special requests

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Course overview

Standard cybersecurity measures struggle to keep up with automated and evolving threats. This course focuses on using artificial intelligence and machine learning to analyse threats and respond to incidents in real time.

Delegates learn the difference between supervised and unsupervised learning techniques and how to apply them to threat detection. The sessions cover neural networks, advanced threat analysis, and automated incident response tools.

The course includes hands-on exercises where attendees build and test deep learning models. It also covers the ethical and legal implications of AI in cybersecurity, and how to integrate these new tools into existing security frameworks. This helps secure the whole enterprise.

Course objectives

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

  1. Explain the fundamentals of AI and its application in cybersecurity
  2. Use AI tools for threat detection and response
  3. Apply machine learning algorithms to cybersecurity problems
  4. Use deep learning techniques for advanced threat analysis
  5. Integrate AI into existing cybersecurity frameworks
  6. Manage ethical and legal considerations of AI in cybersecurity

Who should attend

This course suits:

  • Cybersecurity professionals
  • IT managers and administrators
  • Data scientists and AI engineers
  • Security analysts and consultants
  • Professionals interested in the intersection of AI and cybersecurity

Training methodology

  • Proven adult learning techniques
  • Direct input and discussions that challenge thinking
  • Case studies of AI applications
  • Hands-on interactive exercises
  • Video presentations

Daily agenda

  1. Day 1

    Introduction to AI and Cybersecurity

    • AI technologies and their relevance to cybersecurity
    • The role of AI in modern defence strategies
    • Trends and challenges in AI cybersecurity
    • Case studies of AI applications
    • Interactive session: identifying AI opportunities in cybersecurity strategies
  2. Day 2

    Machine Learning for Cyber Threat Detection

    • Basics of machine learning algorithms in cybersecurity
    • Supervised and unsupervised learning techniques
    • Implementing models for threat detection
    • Machine learning case studies
    • Interactive session: developing a model for a sample cyber threat
  3. Day 3

    Deep Learning for Advanced Threat Analysis

    • Introduction to neural networks and deep learning
    • Deep learning in advanced threat analysis
    • Training and deploying deep learning models
    • Deep learning case studies
    • Interactive session: building and testing a threat analysis model
  4. Day 4

    AI-Driven Incident Response

    • Automated incident response using AI technologies
    • Tools for real-time threat analysis
    • Developing an AI-driven incident response plan
    • Case studies of automated responses
    • Interactive session: creating a response plan for a sample organisation
  5. Day 5

    Integration and Ethical Considerations

    • Integrating AI into existing frameworks
    • Best practices for AI implementation
    • Ethical and legal considerations in AI cybersecurity
    • Future developments in AI and cybersecurity
    • Interactive session: developing an integration plan for your organisation

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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