Introduction to AI & Machine Learning Foundations
A foundation in Artificial Intelligence and Machine Learning, covering key types of AI, core learning methods, real-world applications, and the essential data and mathematics behind intelligent systems.
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Language
English
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About this Course
What to Expect From This Introduction to AI & Machine Learning Course?
By the end, you will be able to:
- Understand the core concepts of Artificial Intelligence and Machine Learning.
- Differentiate between key types of AI, including Narrow and General AI.
- Apply knowledge of supervised, unsupervised, and reinforcement learning.
- Identify and analyze real-world use cases of AI in business and daily life.
- Recognize the importance of data in building intelligent systems.
- Strengthen foundational mathematics skills essential for AI (linear algebra, calculus, probability).
Who Should Enroll in this Introduction to AI & Machine Learning Course?
- University students and fresh graduates seeking a strong foundation in AI and Machine Learning.
- Professionals in IT, engineering, or data fields aiming to expand their technical skillset.
- Business professionals interested in understanding AI applications in real-world and business contexts.
- Researchers and academics are beginning their journey into AI and data science.
- Anyone aspiring to enter the AI field or strengthen their career prospects with future-ready skills.
What are the acquired skills from this Introduction to AI & Machine Learning Fundation Course?
- Fundamental understanding of Artificial Intelligence and Machine Learning concepts
- Differentiating between key AI types (Narrow vs General AI)
- Applying supervised, unsupervised, and reinforcement learning methods
- Identifying and analyzing AI use cases in business and real life
- Data literacy and understanding the role of data in AI systems
- Strengthening mathematical foundations (linear algebra, calculus, probability)
Learn your way, at your pace.
Get the skills you need with a flexible learning experience designed to fit your lifestyle.
Introduction to AI & Machine Learning Foundations - Self Study
Best for busy learners who need flexibility.
Course Inclusions
- Definition of AI & ML
- AI in daily life (Saudi & Gulf examples: smart government apps, fintech, e-commerce)
- Difference between AI, ML, and Data Science
- Why AI matters for business & individuals
- Narrow AI applications (chatbots, fraud detection, logistics in Saudi ports)
- General AI concept (future vision)
- Comparisons & implications
- Supervised learning explained with Gulf banking fraud detection
- Unsupervised learning with customer segmentation in retail
- Reinforcement learning with Saudi autonomous vehicles/drones
- Scenario-based learning exercises
- Government services (Absher, Smart Dubai)
- Healthcare (AI in radiology in KSA hospitals)
- Retail & e-commerce (Noon, Amazon, sa personalized recommendations)
- Energy sector (Saudi Aramco predictive maintenance)
- Banking & fintech (STC Pay fraud detection, Qatar digital banking)
- Mini case study: Vision 2030 initiatives and AI adoption
- What is data? Structured vs unstructured
- Data collection in Gulf smart cities (IoT sensors in NEOM)
- Importance of data quality
- Small practical exercise: spotting data issues
- Linear Algebra in Recommendation Systems
- Probability in fraud detection & risk scoring
- Calculus in model optimization (simple visual examples)
- Visual, simplified explanations (no heavy formulas)
- Mini practical: try predicting outcomes with probability examples from Gulf retail sales
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I have a busy job...
With a demanding job, I thought exam prep was impossible. But self-study learning fit into my life perfectly—I studied anytime, anywhere. It was clear, well-structured, and I passed the exam on my first try.
I needed real interaction...
I was looking for a learning experience where I could truly engage with. Live sessions gave me clarity, motivation, and real-time support. The trainer and group sessions kept me focused and made tough topics easier to digest
Staying on track was...
Starting was easy—but staying consistent wasn’t. The live schedule and trainer check-ins gave just the push I needed. I stayed on track and actually finished the course and got certified!
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