Fundamentals of Artificial Intelligence (AI): From Theory to Practice
AI, Technology & Digital · 5 Days · Public · Al-Khobraa certified · From USD 3,900
Overview
Artificial Intelligence (AI) is revolutionizing industries, economies, and everyday life. As AI systems grow more capable, understanding the fundamentals of AI is essential for individuals and businesses to stay ahead in a rapidly evolving landscape. This course takes a comprehensive approach, starting with the foundational theories of AI and leading into practical applications, case studies, and hands-on projects. By the end of the course, participants will be equipped to understand how AI works and how to implement it in various real-world scenarios.
Learning Objectives
Understand the core principles and theories behind Artificial Intelligence
Recognize the key techniques in AI, such as machine learning, deep learning, and neural networks
Apply machine learning techniques to solve practical business and research problems
Explore AI tools and platforms used to develop AI applications
Understand the societal impact, ethical considerations, and challenges of AI
Gain a solid foundation to pursue further study or careers in AI and data science
Who Should Attend
This training course is suitable to a wide range of professionals but will greatly benefit:
IT professionals
Engineers
Business leaders and managers
Data scientists
Analysts
Students
Graduates
Course Outline
Day 1 — Introduction to Artificial Intelligence and Its Applications
Definition and Types of AI: Narrow AI (task-specific), General AI (human-like), and the theoretical concept of Super intelligent AI.
Historical Evolution of AI: From early symbolic AI to the modern advancements in machine learning and deep learning
AI in Practice: How AI is transforming industries, from healthcare and finance to transportation and retail
Core AI Techniques: Machine learning, neural networks, natural language processing (NLP), and AI for robotics and automation
Day 2 — Machine Learning Fundamentals
Overview of Machine Learning: Explanation of supervised, unsupervised, and reinforcement learning
Key Machine Learning Algorithms: Linear regression, decision trees, random forests, support vector machines, and clustering
Data’s Role in AI: The importance of data in AI and machine learning, covering data collection, preprocessing, and feature engineering
Feature Engineering: Techniques to create relevant features for machine learning models, helping improve model accuracy
Day 3 — Neural Networks and Deep Learning
Neural Networks: Understanding the architecture of neural networks, from input layers to output layers, and how information is passed through hidden layers
Training Neural Networks: Explanation of backpropagation and how neural networks "learn" by adjusting weights based on errors
Deep Learning: Introduction to deep learning and why it is considered one of the most transformative AI technologies
Convolutional Neural Networks (CNNs): How CNNs are designed to process visual data, like images and videos, and their applications in computer vision
Day 4 — Natural Language Processing (NLP) and AI Tools
Introduction to NLP: How AI systems analyze and understand text and speech data
Applications of NLP: Sentiment analysis, machine translation, chatbots, and speech recognition
NLP Techniques: Tokenization, named entity recognition, and part-of-speech tagging, as well as advanced models like Word2Vec and Transformer models (BERT, GPT)
AI Development Tools: Overview of popular AI development frameworks, such as TensorFlow, PyTorch, and Scikit-learn
Day 5 — AI Ethics, Challenges, and Future Trends
Ethical Implications of AI: Bias in AI algorithms, privacy issues, and the potential for AI to reinforce societal inequalities
AI and the Future of Work: Exploring the impact of AI on job automation, future job markets, and the skills required in an AI-driven economy
AI Governance: Regulatory challenges in AI and the role of governments in establishing policies and standards for AI development
The Future of AI: An exploration of emerging AI trends, such as AI in quantum computing, AI for healthcare innovation, and AI-driven automation
Accreditation
Al-Khobraa certified. On completion delegates receive an Al-Khobraa certificate of achievement.
What do Al-Khobraa AI, technology and digital courses cover?
The portfolio covers cyber security, data analytics and data science, artificial intelligence (AI) and machine learning, Power BI and Excel for analysis, digital transformation and IT governance. Courses are applied — delegates work with real datasets and tools rather than slideware.
Who should attend an AI, technology or digital course?
These courses suit IT and cyber security staff, data and business analysts, engineers and operations professionals who work with plant or business data, digital transformation teams, and managers who commission or govern technology projects. Foundation-level courses assume no programming background.
How long are AI, technology and digital courses, and where are they held?
Most Al-Khobraa AI, technology and digital courses run over 5 days. The exact duration, dates and city for this course are listed in the dates section on this page. Public sessions run across Saudi Arabia — Riyadh, Jeddah, Al-Khobar, Jubail and Yanbu — as well as regional and international venues, with live virtual classrooms available on request.
What certificate will I receive?
Delegates who complete the course receive an Al-Khobraa certificate of completion, issued by a Saudi-registered training provider. Al-Khobraa also delivers internationally accredited programmes; where a course carries an external awarding body such as PMI, CIPS, ILM or IOSH, that body is named on the course's own page.
Can AI, technology and digital training be delivered in-house for our team?
Yes. Any Al-Khobraa AI, technology and digital course can be delivered in-house at your own premises anywhere in Saudi Arabia or the GCC, with the content, dates and language of delivery tailored to your team. Al-Khobraa is an approved HRDF (Hadaf) provider, so eligible Saudi employers can seek training support. Contact us for a quotation.