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AI Fundamentals: Concepts & Applications (Entry-Level Course)

Purpose: Attract beginners with affordable fees, offering foundational knowledge.
Target Audience: Students, career switchers, or learners new to AI/Data Science.

Entry-Level Course
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  • English
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Course Overview

This entry-level course introduces learners to the core concepts of Artificial Intelligence, including Machine Learning, Deep Learning, and Natural Language Processing. Through hands-on exercises and real-world examples, participants build simple AI models, explore key applications across industries, and gain a solid foundation in ethical and responsible AI practices. The course is designed for beginners looking to understand how AI works and how it is shaping the future.

Course Content

Learn what AI is, how it works, and where it's used—from everyday apps to industry-shaping innovations.

Build simple classification and regression models, understand training vs testing, and explore real ML use cases.

Discover clustering techniques like K-Means and apply them to group and analyze data patterns.

Get an intuitive introduction to neural networks and see how AI powers image, text, and real-world applications.

Perform basic text processing and sentiment analysis while exploring how chatbots and virtual assistants work.

Explore AI applications in healthcare, business, finance, robotics, and smart cities with case studies and demos.

Experiment with popular tools like scikit-learn, TensorFlow, and no-code platforms to quickly build AI prototypes.

Learn where AI is headed and discover pathways to careers and certifications in Data Science and AI.

Duration

  • 30 Hours (10 Sessions × 3 Hours)
  • Level: Entry Level
  • Mode: Instructor-led (Lectures, Hands-on Labs, Case Studies)
  • Instructor:
    • Prof. Emmanuel Nyakwende
    • Mahreen Junaid

Description

  • This beginner-friendly course introduces the core principles of Artificial Intelligence, covering AI concepts, Machine Learning, Deep Learning, and Natural Language Processing. Learners gain hands-on experience building simple ML models, performing clustering, and running sentiment analysis. The course also explores real-world AI applications, ethical considerations, popular AI tools, and future career pathways—ideal for anyone starting their journey into AI.

Rating

5.0
Course Rating
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Preview this course
SAR 1200 SAR 2000
  • Start Date1/4/2026 9:00:00 AM
  • Sessions30 Sessions
  • LanguageEnglish
  • Skill LevelEntry-Level Course

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