NATIONAL YANG MING CHIAO TUNG UNIVERSITY · TAIWAN
AI Agent Design: From LLM Programming to Research Automation (Micro-credit Course)
Master's · Taught in en
At a glance
1 mo
Duration
—
IELTS
€0k
Tuition / yr
en
Language
Master's
Level
- 10 daysCourse Duration (June 17 - June 26, 2026)
- 8 hoursTotal Course Hours
- 30 participantsMaximum Class Size
- Hands-on ProjectsAssessment Focus
- OpenClaw FrameworkCore Development Tool
- AI Agent DevelopmentKey Skill Acquired
This micro-credit course is designed for graduate students interested in developing AI Agents using Large Language Models (LLMs). It focuses on applying these skills to scientific research scenarios. The course covers foundational concepts of the OpenClaw framework, LLM programming with advanced techniques like Context Engineering, the design of AI Agents and Harness Engineering, and the integration of reusable Skill modules for automating research workflows. Students will begin by exploring the OpenClaw development framework and the AI Agent ecosystem. They will then delve into LLM programming, mastering techniques such as Prompt Engineering and Retrieval-Augmented Generation (RAG). The curriculum progresses to Agent architecture design and Harness Engineering, enabling students to build intelligent agents capable of tool usage and multi-step reasoning. Finally, the course will teach students how to design reusable Skill modules to automate research processes. This program emphasizes hands-on application and research relevance, with practical coding outputs expected in each session. While a basic understanding of programming or experience with AI-assisted coding is beneficial, the course is structured for gradual learning, making it accessible to graduate students from diverse backgrounds.
Curriculum
The course is structured over four main units, with a total of 8 hours of instruction, demonstration, and practice.
- Unit 1
- OpenClaw Foundation Architecture and EcosystemN/A
- Unit 2
- LLM Programming and Context EngineeringN/A
- Unit 3
- Agent Design and Harness EngineeringN/A
- Unit 4
- Skill Design and Advanced EcosystemN/A
Careers
While this is a short micro-credit course, the skills developed in AI Agent design and LLM programming are highly relevant for roles in AI development, research automation, and data science.
- AI Developer
- Machine Learning Engineer
- Research Scientist
- Data Scientist
- Automation Engineer
Frequently asked questions
- What are the tuition fees for this micro-credit course?
- This micro-credit course does not require tuition fees. Credits earned may be counted as free elective credits if approved by your department.
- What are the entry requirements for the AI Agent Design course?
- While some programming or AI-assisted coding experience is beneficial, the course is designed for gradual learning. You will need to pay for AI services like Claude Pro and use a Mac or Linux laptop, as Windows is not supported.
- How can I apply for this course?
- You can apply through the ICT course selection system. Non-NYCU students need to create an account first. Registration typically opens three weeks before the course starts and closes on June 11, 2026.
- What is the duration of the course and when does it take place?
- The course has a total of 8 hours of instruction and runs for 10 days, from June 17 to June 26, 2026.
- What topics are covered in this course?
- The course covers the OpenClaw framework, LLM programming with techniques like Context Engineering and RAG, AI Agent design, Harness Engineering, and the integration of reusable Skill modules for research automation.
- What are the potential career outcomes after completing this course?
- The skills gained are relevant for roles such as AI Developer, Machine Learning Engineer, Research Scientist, Data Scientist, and Automation Engineer.
Entry requirements
Basic programming concepts or experience with AI-assisted codingRequired
Students must have access to and be willing to pay for AI services (Claude Pro is mandatory). A Mac laptop (MacBook Neo minimum) or Linux laptop is required, as Windows is not supported for programming questions. Familiarity with reading and modifying code is expected.
Fees
Tuition (international)No tuition fee required for this micro-credit course.
Tuition (home)No tuition fee required for this micro-credit course.
LivingNot specified, but participants will need to cover costs for AI services (e.g., Claude Pro).
Micro-credit courses do not require tuition fees. Credit will be counted as free elective credits if approved by the department. 8 hours of study are equivalent to 0.5 credits.
How to apply
1. Create an Account (if not a NYCU student)Non-NYCU students must register for an account on the ICT course selection system by clicking 'Non-NYCU Student Account Application' on the top right of the page.
2. Select the CourseLog in to the ICT course selection system and select the 'AI Agent Design: From LLM Programming to Research Automation' micro-credit course. Registration typically opens three weeks before the course starts and closes on the specified deadline.
3. ConfirmationCourse selection results can be checked on the system the day after the registration deadline.
Accreditation
Micro-credit courses may be eligible for credit transfer as free electives, subject to departmental approval.
Frequently asked questions
What are the tuition fees for this micro-credit course?
+
This micro-credit course does not require tuition fees. Credits earned may be counted as free elective credits if approved by your department.
What are the entry requirements for the AI Agent Design course?
+
While some programming or AI-assisted coding experience is beneficial, the course is designed for gradual learning. You will need to pay for AI services like Claude Pro and use a Mac or Linux laptop, as Windows is not supported.
How can I apply for this course?
+
You can apply through the ICT course selection system. Non-NYCU students need to create an account first. Registration typically opens three weeks before the course starts and closes on June 11, 2026.
What is the duration of the course and when does it take place?
+
The course has a total of 8 hours of instruction and runs for 10 days, from June 17 to June 26, 2026.
What topics are covered in this course?
+
The course covers the OpenClaw framework, LLM programming with techniques like Context Engineering and RAG, AI Agent design, Harness Engineering, and the integration of reusable Skill modules for research automation.
What are the potential career outcomes after completing this course?
+
The skills gained are relevant for roles such as AI Developer, Machine Learning Engineer, Research Scientist, Data Scientist, and Automation Engineer.