Fundamentals of Artificial Intelligence (AI)
Intensive 5-day course · English, Arabic & European languages
- Duration5 days
- FormatClassroom or live online
- LanguageEnglish, Arabic or a European language
- CertificateARUK Certificate of Attendance
- FeeFrom £2,280 + VAT
IT professionals and business leaders use this five-day course to grasp the core theories and practical applications of artificial intelligence. It covers machine learning, deep learning, and natural language processing. Delegates learn how AI works and how to implement it across different real-world scenarios.
Classroom
Public courses in our cities
- 26–30 Oct 2026Muscat£3,080 + VAT
- 9–13 Nov 2026London£3,360 + VAT
- 23–27 Nov 2026Manama£3,080 + VAT
- 14–18 Dec 2026Istanbul£2,280 + VAT
- 28 Dec – 1 Jan 2026Dubai£4,200 + VAT
- 4–8 Jan 2027Rome£3,400 + VAT
Show 23 more dates
- 18–22 Jan 2027Cairo£2,280 + VAT
- 1–5 Feb 2027Munich£3,400 + VAT
- 15–19 Feb 2027Jeddah£4,200 + VAT
- 8–12 Mar 2027Amsterdam£3,400 + VAT
- 22–26 Mar 2027Singapore£4,200 + VAT
- 12–16 Apr 2027London£3,360 + VAT
- 26–30 Apr 2027Muscat£3,080 + VAT
- 10–14 May 2027Istanbul£2,280 + VAT
- 24–28 May 2027Casablanca£2,280 + VAT
- 7–11 Jun 2027Rome£3,400 + VAT
- 21–25 Jun 2027Manama£3,080 + VAT
- 5–9 Jul 2027Munich£3,400 + VAT
- 19–23 Jul 2027Amman£3,400 + VAT
- 9–13 Aug 2027Amsterdam£3,400 + VAT
- 23–27 Aug 2027Madrid£3,400 + VAT
- 13–17 Sep 2027London£3,360 + VAT
- 27 Sep – 1 Oct 2027Berlin£3,400 + VAT
- 11–15 Oct 2027Istanbul£2,280 + VAT
- 25–29 Oct 2027Milan£3,400 + VAT
- 1–5 Nov 2027Rome£3,400 + VAT
- 15–19 Nov 2027Malaga£3,080 + VAT
- 6–10 Dec 2027Munich£3,400 + VAT
- 20–24 Dec 2027Sarajevo£3,400 + 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%
Tailor this course
Pick what you want changed and we’ll come back with a proposal and price.
Course overview
Professionals need a clear technical grasp of how AI systems operate before they can use them effectively in production. This course provides that foundation. It moves from basic theory to practical application, allowing delegates to deploy AI in their own work.
The syllabus covers the history of AI development before moving into specific techniques. Delegates study machine learning algorithms, deep neural networks, and how convolutional neural networks (CNNs) process visual data. The natural language processing modules cover advanced transformer models like BERT and GPT.
Practical sessions are a major part of the training. Delegates use development frameworks and cloud services like IBM Watson to build basic models. The course finishes by looking at the ethical implications, data privacy challenges, and what an AI-driven future means for the economy.
Course objectives
By the end of the course, delegates will be able to:
- Explain the core principles and theories behind artificial intelligence
- Identify machine learning, deep learning and neural network techniques
- Apply machine learning algorithms to business and research problems
- Use development platforms and tools to build simple applications
- Assess AI's societal effects, ethical considerations and practical challenges
- Build a foundation for further study or careers in AI and data science
Who should attend
This course suits:
- IT professionals, software developers and engineers building AI skills
- Business leaders and managers examining AI for innovation and efficiency
- Data scientists, statisticians, and analytical staff
- Students, graduates and professionals considering careers in AI or data science
- People interested in practical AI applications, with any level of technical knowledge
Training methodology
- Interactive technical lectures and group discussions
- Practical work building basic models with AI tools
Daily agenda
- Day 1
Introduction to artificial intelligence applications
- Task-specific narrow AI, human-like general AI and theoretical superintelligent AI
- AI history: symbolic approaches and advances in machine learning and deep learning
- AI applications in healthcare, finance, transportation and retail
- Machine learning, neural networks, NLP, robotics and automation
- Successful AI case studies, implementation challenges and lessons learnt
- Day 2
Machine learning fundamentals
- Supervised, unsupervised, and reinforcement learning models
- Linear regression, decision trees, random forests, support vector machines and clustering
- Collecting and preprocessing data for algorithms
- Techniques for effective feature engineering
- Applying algorithms to datasets to build classification, regression and clustering models
- Day 3
Neural networks and deep learning
- Input, hidden and output layers and the passage of information through neural networks
- Backpropagation and weight adjustment in response to errors
- Why deep learning is an important technology
- CNNs for images, video and computer vision applications
- Building a basic image classification network with TensorFlow or Keras
- Day 4
Natural language processing and tools
- Analysing raw text and speech data
- Sentiment analysis, machine translation, chatbots and speech recognition
- Tokenisation, named entity recognition (NER), part-of-speech tagging and Word2Vec
- Using advanced transformer models like BERT and GPT
- Overview of frameworks like TensorFlow, PyTorch, and Scikit-learn
- Cloud services including Google AI, Microsoft Azure AI and IBM Watson
- Building an NLP chatbot or applying AI tools to a problem such as social media sentiment analysis
- Day 5
Ethics, challenges, and future trends
- Algorithmic bias, privacy and the reinforcement of societal inequalities
- Job automation, future labour markets and skills in an economy using AI
- Government policies and AI governance standards
- AI trends in quantum computing, healthcare innovation and automation
- Scaling constraints: data, computing power, interpretability, safety, fairness and transparency
- Revisiting course projects, discussing lessons and planning further AI learning
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.
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