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AI & Machine Learning Lecturer / Staff Student Public

Introduction to AI and Machine Learning with Python

#Machine Learning #AI #Python
University of Technology and Entrepreneurship, Phnom Penh 0 / 30 enrolled
About this programme

Course outline.

The Introduction to AI and Machine Learning with Python course provides learners with a foundational understanding of artificial intelligence and machine learning concepts using Python. Participants will explore how machines learn from data, understand common algorithms, and build simple AI-driven models. The course emphasizes practical implementation using Python libraries, real-world examples, and hands-on exercises, making it suitable for beginners who want to enter the field of AI and machine learning.

What you'll get

Programme highlights.

Industry-led teaching

Live materials from practitioners working in the field today.

Hands-on exercises

You'll apply what you learn through structured workshops and case studies.

Mentor access

Personal contact with the instructor for questions and feedback.

UTE Certificate

A signed certificate of completion you can add to your CV.

Course outline

What we'll cover.

  1. 01

    Introduction to Artificial Intelligence

    • • Definition and History of Artificial Intelligence • Types of AI: Narrow AI vs. General AI • Real-World Applications of AI
  2. 02

    Fundamentals of Machine Learning

    • • What is Machine Learning? • Types of Machine Learning (Supervised
    • Unsupervised
    • Reinforcement) • Machine Learning Workflow
  3. 03

    Python Tools for AI and Machine Learning

    • • Overview of NumPy
    • Pandas
    • and Matplotlib • Introduction to Scikit-Learn • Data Preparation for Machine Learning
  4. 04

    Supervised Learning Techniques

    • • Linear Regression • Classification Algorithms (Logistic Regression
    • K-Nearest Neighbors) • Model Training and Evaluation
  5. 05

    Unsupervised Learning Techniques

    • • Clustering Concepts • K-Means Clustering