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Building

Prompt engineering

Design, version and test prompts that produce reliable behaviour.

Target proficiency: Applied

Course outcomes

  • AIN 401 CO2

    Apply prompt, context and retrieval (RAG) engineering, including structured outputs and tool calling, to build LLM features on a cloud AI platform or open-weight stack.

  • AIN 402 CO2

    Apply AI-augmented elicitation and collaboration techniques (interviews, workshops, surveys, prompt patterns) and validate AI outputs against stakeholders and sources.

  • MST 501 CO2

    Demonstrate Model Layer, Context & Tools competence: complete the Day 16–30 builds, explain the underlying theory, and defend the phase artefact under live questioning.

  • MST 505 CO1

    Demonstrate Foundations & Theory competence: complete the Day 1–15 builds, explain the underlying theory, and defend the phase artefact under live questioning.

  • NAIE 201 LO4

    Applies all 6 prompt techniques across academic and professional Bangladesh contexts

  • NAIE 201 LO5

    Conducts multi-model comparison and identifies output quality differences

  • NAIE 201 LO6

    Writes effective Bangla prompts producing culturally appropriate Bangladesh outputs

Taught in weeks & phases

Textbook chapters