Yes. The current official AIPM page explicitly lists “提示词设计与上下文应用” — prompt design and context application — under Level I.This confirms prompt-related learning at Level I; the current formal syllabus is still needed for itemized assessment details.
As checked on September 9, 2026, the four Level I learning areas are AI scenario identification and basic requirements judgment; AI product solutions and basic human-AI experience; prompt design and context application; and product-effect verification and operational application.These are editorial English translations of the official Chinese labels. Prompt and context learning is explicitly present at Level I and should not be attributed solely to Level II. CAIE（赛一）官网
What Is Confirmed, and What Can You Practice?
The current official overview confirms the learning area “Prompt Design and Context Application.” Earlier introductory material placed the following techniques under “Prompt Engineering and Context Control.” They remain useful practice examples, but that older description does not establish the current item-by-item exam scope:
| Current learning area | Practice example, not a current exam commitment |
|---|---|
| Prompt design and context application | Use System Prompt in a tool that supports system instructions; check role, boundaries and output requirements |
| Prompt design and context application | Use Few-Shot examples to demonstrate the desired output, then check whether they help the task |
Level I explicitly includes prompt design and context application.System Prompt, Few-Shot and prompt debugging can be useful practice methods, but their inclusion, depth and question format in a particular exam must be checked against the current formal syllabus and session notice. CAIE（赛一）官网
Alignment with the Digital Intelligence Talent Capability Standard
The Evaluation Standard for Digital Intelligence Talent Capability also places AI tool application within the broader digital-intelligence capability framework. It identifies AI tool application skills such as structured prompt design, multimodal content generation, basic AI workflow construction, model application, and output verification.
The same standard includes a dedicated module titled “Prompt Engineering and AI Interaction,” which evaluates practical interaction with generative AI, including dialogue interaction, content generation, prompt design, and output optimization.
Conclusion
Yes, AIPM Level 1 Certification includes LLM prompt engineering.
The following are practical learning suggestions for applying prompts to real tasks. They are not a statement that every listed technique is a mandatory current exam item:
- writing structured prompts;
- using System Prompt to define roles, constraints, and output formats;
- applying Few-Shot prompting to improve output stability;
- managing context and iterative refinement;
- evaluating AI outputs for reliability, hallucination risk, and business usability.
The current Level I overview emphasizes basic scenarios, solutions, prompt and context application, effect verification and operational use. Training a large model from scratch is not one of those four listed learning areas; check the current syllabus for the actual exercises and assessment requirements.
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