Course Name

Fundamentals of Artificial Intelligence

Schedule

February 26, 2026 - February 27, 2026

Schedule via Zoom: 
Thursday & Friday 
1:00 pm – 5:00 pm

Regular Rate:

Php 6,600

Early Eagle Rate:

Php 5,500

Valid Until:

February 13, 2026

Fundamentals of Artificial Intelligence

Description

Fundamentals of AI introduces participants to the core concepts of artificial intelligence (AI), starting from agent-based AI and machine learning, including deep learning and natural language processing. The course defines and demystifies these concepts while exploring their practical applications for real-world, data-driven challenges in different fields.

Who should attend

Decision Makers / Middle Management:

  • Department Managers/Heads e.g., Marketing Manager, Sales Manager, HR Manager, Finance Manager, Operations Manager, etc

  • Division or Regional Managers e.g., Regional Sales Manager, District Manager, Branch Manager, etc

  • Directors (in mid-sized companies) e.g., Director of Operations, Director of Customer Service, etc

  • Project Managers or Program Managers (with cross-functional authority)

  • Functional Specialists with Management Responsibilities e.g., IT Manager, Engineering Manager, Product Manager, Procurement Manager, Quality Assurance Manager, etc

  • Plant or Facility Managers (in manufacturing or industrial settings)

  • Section or Unit Heads e.g., Accounting Manager, Logistics Manager, R&D Manager

  • And other positions responsible for decision making and management at the mid-level

By the end of this course, learners will be able to

1. Explain foundational concepts in artificial intelligence.

2. Compare different types of AI systems, including rule-based, agent-based, and learning-based approaches.

3. Discuss how machine learning and deep learning techniques are used to build intelligent systems.

4. Evaluate the applications and limitations of AI concepts in real-world scenarios.

5. Apply AI principles to conceptualize potential solutions to relevant problems in their field or organization.

I. Introduction 
A. Welcome Remarks & Presentation of Objectives

II. What Is AI? 
A. Definition & Scope

  1. Properly defining AI, understanding the building blocks of AI.
  2. Clarifying subfields: Agent-based AI and Machine Learning-based AI

B. Brief History

  1. AI technological advancements
  2. Milestones in AI History

III. Agent-Based AI 
A. What is an intelligent agent?
B. Different types of AI agents and Real-Life Examples of Use

IV. Machine Learning 
A. Definition of Machine Learning: Dataset-oriented AI
B. Types of Learning

  1. Supervised Learning
  2. Unsupervised Learning
  3. Reinforcement Learning

C. Applications of Machine Learning
D. Deep Learning

  1. Basic Architecture for Deep Learning
  2. Neural networks and related technologies

E. Applications of Deep Learning

  1. Examples of real life Machine Learning applications
  2. Image recognition
  3. Speech processing 
  4. Generative AI

V. Natural Language Processing 
A. Machines understanding and generating human language.
B. Applications of NLP (Sentiment analysis, machine translation, chatbots, etc.)

VI. AI and Ethics, and Integration of Concepts 
A. Ethics and social issues regarding AI and the use of AI.
B. Integration of concepts and conclusion.

VII. Summary & Q&A 
A. Recap Main Points
B. Final Thought

Dr. Andrei Coronel is an Associate Professor at the Department of Information Systems and Computer Science (DISCS) of the Ateneo de Manila University – Loyola Schools. He earned his Bachelor’s degree in Biology from the University of Santo Tomas in 1999, his Master of Science in Computer Science from the Ateneo de Manila University in 2005, and his Ph.D. in Computer Science from the same university in 2015.

In 2017, he completed a post-doctoral interdisciplinary research program at the University of California, Berkeley as a CHED-PCARI Post-Doctoral Awardee. Upon returning to the Philippines, he served as Chair of the Department of Information Systems and Computer Science from 2017 to June 2023.

While his research interests span health informatics, data analytics, and interdisciplinary computing, Dr. Coronel’s current work centers on computational sound and music, an area that fuses his passion for music and technology. He leads the Ateneo Computational Sound and Music Laboratory, where he advances research at the intersection of computer science, creativity, and human expression

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