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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

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages

  • English

Degree programmes

  • Complementary competence, Bachelor's

Teachers

  • Juhani Grape
  • Saku Syngelmä

Groups

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

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.

Assessment scale

1-5