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AI Series: Prompt Engineering (5 cr)

Code: AT00DH89-3001

General information


Enrollment

01.08.2025 - 31.07.2026

Timing

01.08.2025 - 31.07.2026

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages

  • English

Degree programmes

  • Complementary competence, Bachelor's

Teachers

  • Juhani Grape
  • Saku Syngelmä

Scheduling groups

  • Avoimen ammattikorkeakoulun kiintiö / Ripa (Size: 200. Open UAS: 200.)

Groups

  • TLABTO25-26
  • TLABTO25-26E
    Complementary competence (Bachelor's) 2025-2026, Faculty of Technology

Small groups

  • Open UAS quota

Learning outcomes

- Introduction to Prompt Engineering: Understand the basics of prompt engineering and its importance in AI interactions.
- Understanding Language Models (LLMs): Learn how language models work, their architecture, and how they process and generate text.
- Basic Prompt Techniques: Explore the core elements of crafting prompts, including role prompting and few-shot prompting.
- Advanced Prompt Techniques: Dive into more complex prompting methods like Chain of Thought (CoT), Zero Shot Chain of Thought, self-consistency, and generated knowledge.
- Evaluating and Refining Prompts: Learn how to assess the effectiveness of your prompts and refine them for better results.
- Prompt Hacking: Discover the risks associated with prompt engineering, including prompt injection, prompt leaking, and jailbreaking.

Implementation and methods of teaching

Independent online course

Timing and attendance

All the needed material is in the course. This also includes videos, ebooks and audio lessons.

Learning environment

Moodle

Student time use and work load

The course offers 5 ECTS credits worth of content

Contents

Unlock the potential of AI by mastering the art of Prompt Engineering. This course provides students a comprehensive understanding of how to effectively communicate with AI models through well-crafted prompts. Learn to guide AI models to perform tasks accurately and efficiently by giving clear and precise instructions.

Additional information for students: previous knowledge etc.

No prior experience with AI or LLMs required
This course is a part of the AI series of courses. You don't need to complete the other courses to do this one, but you can also do those if you found this course interesting.

Assessment scale

Approved/Failed