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Evening Classes

A structured pathway for high school students to explore AI, build strong foundations, and prepare for top engineering programs.

5:30–7:30 PM (Mon-Thu)

University-Style Learning

Certificate Included

RSVP

Program Overview

Aligned with future pathways into AiCE (AI Engineering) and Aii (AI Innovation).

Aligned with future pathways into AiCE (AI Engineering) and Aii (AI Innovation).

No prior CS/Engineering experience required.
No prior CS/Engineering experience required.

Part 1: Exploration

Free Event Series (Every First Friday)

Part 1: Exploration

Free Event Series (Every First Friday)

Part 1: Exploration

Free Event Series (Every First Friday)

Workshops + Certificates

Live Demos & Hands-on Stations

Pathway Guidance (AiCE vs Aii)

View AI Exploration Friday

Part 2: Foundation Skills

Core Prep Program (Weekly Classes)

Part 2: Foundation Skills

Core Prep Program (Weekly Classes)

Part 2: Foundation Skills

Core Prep Program (Weekly Classes)

Math for AI (Mon/Wed)

Programming & Problem Solving (Tue/Thu)

AI Fundamentals (Mon/Wed)

System Design (Tue/Thu)

Curriculum Domains

Comprehensive preparation for the future of AI.

Comprehensive preparation for the future of AI.

Your Portfolio Artifacts

Your Portfolio Artifacts

01

Mathematics for AI

Algebra, functions, matrices, linear algebra fundamentals, and probability & statistics essential for AI.

01

Mathematics for AI

Algebra, functions, matrices, linear algebra fundamentals, and probability & statistics essential for AI.

01

Mathematics for AI

Algebra, functions, matrices, linear algebra fundamentals, and probability & statistics essential for AI.

02

Programming & Problem Solving

Core data structures, complexity thinking, algorithmic patterns, and practical coding habits.

02

Programming & Problem Solving

Core data structures, complexity thinking, algorithmic patterns, and practical coding habits.

02

Programming & Problem Solving

Core data structures, complexity thinking, algorithmic patterns, and practical coding habits.

03

AI Fundamentals

Machine Learning essentials (data → model → evaluation), GenAI overview, and responsible use.

03

AI Fundamentals

Machine Learning essentials (data → model → evaluation), GenAI overview, and responsible use.

03

AI Fundamentals

Machine Learning essentials (data → model → evaluation), GenAI overview, and responsible use.

04

AI System Design

End-to-end pipeline thinking and building working AI applications (inference + API + integration).

04

AI System Design

End-to-end pipeline thinking and building working AI applications (inference + API + integration).

04

AI System Design

End-to-end pipeline thinking and building working AI applications (inference + API + integration).

Why Choose This Program?

Designed to mirror how CMKL students learn and build.

🎓

Live Instruction

Learn directly from CMKL faculty and practitioners.

📜

Certificate of Completion

Receive a certificate upon completing each block.

🚀

Credit Transfer Pathway

Eligible courses may be transferred as CMKL credits (subject to approval).

Why Choose This Program?

Designed to mirror how CMKL students learn and build.

🎓

Live Instruction

Learn directly from CMKL faculty and practitioners.

📜

Certificate of Completion

Receive a certificate upon completing each block.

🚀

Credit Transfer Pathway

Eligible courses may be transferred as CMKL credits (subject to approval).

Program Schedule

Upcoming Term: Fall 2026 (Aug – Nov)

Upcoming Term: Summer 2026
(May – Aug)

FREE

Exploration Fridays

Monthly (First Friday)

  • May 15: From Data to Decisions (ML Concepts)

  • Jun 12: Decoding and Coding the Brain (BCI Intro)

  • Jul 3: Human/AI Creative Collaboration (GenAI)

  • Aug 7: AI Projects Showcase

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Exploration Fridays

FREE

Monthly (First Friday)

  • May 15: From Data to Decisions (ML Concepts)

  • Jun 12: Decoding and Coding the Brain (BCI Intro)

  • Jul 3: Human/AI Creative Collaboration (GenAI)

  • Aug 7: AI Projects Showcase

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FREE

Exploration Fridays

Monthly (First Friday)

  • May 15: From Data to Decisions (ML Concepts)

  • Jun 12: Decoding and Coding the Brain (BCI Intro)

  • Jul 3: Human/AI Creative Collaboration (GenAI)

  • Aug 7: AI Projects Showcase

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Block A

Block A

Foundations I (Math + Programming)

Foundations I

(Math + Programming)

Weeks 1–6

(Aug 17 – Sep 24)

Weeks 1–6

(Aug 17 – Sep 24)

Building the core logic and mathematical ground work.

Math (Mon/Wed)

  • Algebra & Matrices

  • Linear Algebra for AI

Math (Mon/Wed)

  • Algebra & Matrices

  • Linear Algebra for AI

Programming (Tue/Thu)

  • Data Structures

  • Algorithmic Thinking

Programming (Tue/Thu)

  • Data Structures

  • Algorithmic Thinking

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Block B

Block B

Foundations II (AI Fund + System Design)

Foundations II

(AI Fund + System Design)

Weeks 8–13

(Oct 05 – Nov 12)

Weeks 8–13

(Oct 05 – Nov 12)

Moving from theory to AI application and system building.


Moving from theory to AI application and system building.

AI Fundamentals (Mon/Wed)

  • ML Essentials

  • GenAI & Ethics

AI Fundamentals (Mon/Wed)

  • ML Essentials

  • GenAI & Ethics

System Design (Tue/Thu)

  • End-to-End Pipelines

  • Building AI Applications

System Design (Tue/Thu)

  • End-to-End Pipelines

  • Building AI Applications

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Meet Your

‎ Instructor‎ ‎

Learn from

Startup founders
Startup founders

Irving Gomez Mendez

Assistant Professor, CMKL University
PhD Probability and Statistics, CIMAT, Mexico

Fawad Asadi

Instructor, CMKL University
D.Eng. Biomedical Engineering in Artificial Intelligence, Rangsit University, Thailand

Raveekiat Singhaphandu

Assistant Professor, CMKL University
PhD Knowledge Science, Japan Advanced Institute of Science and Technology, Japan

Antoine Merlet

Assistant Professor, CMKL University
PhD Computer Engineering, Automation and Signal Processing, University of Burgundy, France

Irving Gomez Mendez

Assistant Professor, CMKL University
PhD Probability and Statistics, CIMAT, Mexico

Raveekiat Singhaphandu

Assistant Professor, CMKL University
PhD Knowledge Science, Japan Advanced Institute of Science and Technology, Japan

Fawad Asadi

Instructor, CMKL University
D.Eng. Biomedical Engineering in Artificial Intelligence, Rangsit University, Thailand

Antoine Merlet

Assistant Professor, CMKL University
PhD Computer Engineering, Automation and Signal Processing, University of Burgundy, France

Irving Gomez Mendez

Assistant Professor, CMKL University
PhD Probability and Statistics, CIMAT, Mexico

Fawad Asadi

Instructor, CMKL University
D.Eng. Biomedical Engineering in Artificial Intelligence, Rangsit University, Thailand

Raveekiat Singhaphandu

Assistant Professor, CMKL University
PhD Knowledge Science, Japan Advanced Institute of Science and Technology, Japan

Section BG

Tuition & Benefits

Tuition & Benefits

Select the plan that fits your journey.

Block A Only

6 Weeks

Math + Programming

฿80,000

Early Bird: ฿76,000

48 Hours Live Class

Math & Coding Focus

Term Bundle (A + B)

12 Weeks + Break

Complete Foundation

฿140,000

Save ฿20,000

Complete Pathway

Foundations I & II

Strongest Preparation

Best Value

Best Value

Block B Only

6 Weeks

AI + System Design

฿80,000

Early Bird: ฿76,000

48 Hours Live Class

AI Applications Focus

Ready to Start?

Early Bird Registration: Jun 1 – Jul 15, 2026

Early Bird Registration:

Jun 1 – Jul 15, 2026

Regular Registration: Jul 16 – Aug 10, 2026

Regular Registration:6

Jul 16 – Aug 10, 2026

Registration may close early when full.

Registration may close early when full.

RSVP

Questions? aiascend@cmkl.ac.th | 061-394-0500

Questions? aiascend@cmkl.ac.th |

061-394-0500

Shape

Location

Location

CMKL University

CMKL University

CMKL University

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Common Questions

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Who should apply?

High school students exploring AI, Computer Engineering, or Innovation. If you want a structured pathway and clearer direction between Engineering (AiCE) and Innovation (Aii) tracks, this is for you.

Do I need coding experience?

No. We use a tool-first approach. You will learn how to leverage AI to build prototypes without needing advanced programming skills.

Can I get academic credit?

Yes. If you later matriculate into AiCE/Aii, you may complete assessments to demonstrate competencies and request academic credit (subject to University policy).

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