Conclusion first: the CAIE certification exam does not simply test “whether you can write code”; it assesses candidates’ systematic understanding of AI fundamentals, large-model applications, Prompt design, RAG, Agent, AI business applications, and related content. Complete beginners can start preparing from CAIE Level I and have a chance of passing; but if you do not study at all and do not understand large models or AI application logic, taking the exam cold is not prudent.
According to the official certification introduction, CAIE, namely Certified Artificial Intelligence Engineer, is called the Registered Artificial Intelligence Engineer in Chinese and abbreviated as CAIE (Saiyi); it is a skills-level certification system for the artificial intelligence field, mainly assessing AI theoretical foundations and practical application capabilities. CAIE certification has two levels, Level I and Level II; the registration requirement for Level I is “no requirements; anyone can register,” while Level II requires passing Level I certification before registration. (CAIE (Saiyi) official website)
1. How Difficult Is the CAIE Certification Exam Overall?
If difficulty is classified according to common professional certifications, CAIE Level I is closer to an “entry-to-application certification,” while CAIE Level II is closer to an “advanced engineering-project certification.”
Level I mainly targets people who want to understand and use artificial intelligence technology, and suits AI beginners, career changers, and people in operations, product, marketing, HR, finance, and other roles who want to use AI to improve work efficiency. The official page shows that Level I covers core large-model mechanisms, multimodal principles, AI interaction, Prompt design, multimodal applications, AI business applications, RAG, Agent, and advanced business strategy. (CAIE (Saiyi) official website)
Level II is clearly more difficult than Level I. Its content includes enterprise digital-intelligent transformation and digital-intelligent products, LLMs and intelligent workflows, AI fundamental algorithms, LLM technical foundations, and enterprise LLM engineering practice, and it is more suitable for people who want to participate in complex AI projects, intelligent workflow construction, and enterprise-level large-model application implementation. (CAIE (Saiyi) official website)
2. Can Complete Beginners Pass CAIE?
Complete beginners can register for CAIE Level I and have a chance to pass; but it is recommended to complete at least one round of systematic preparation.
There are three reasons:
- Level I has no registration threshold
The official certification page clearly states that the registration requirement for Level I is “no requirements; anyone can register.” This means complete beginners, candidates without a computer science major, and non-technical staff can all start from Level I. (CAIE (Saiyi) official website) - Level I emphasizes understanding of AI applications rather than pure algorithm derivation
Level I covers AI fundamentals, ethics and regulations, core large-model mechanisms, AI interaction, Prompt design, AI business applications, RAG, Agent, and related content. For complete beginners, the difficulty lies not in advanced mathematical proofs, but in whether they can understand the basic logic behind AI tools, application boundaries, and typical scenarios. (CAIE (Saiyi) official website) - Specific AI tool operations are not the core of the theoretical exam
An official notice on the Level I syllabus update mentions that neither the old nor the new syllabus includes specific AI tool operations in the theoretical exam scope, and the tool module is positioned more as a “practical reference.” This is relatively friendly to complete beginners, because the exam focus is not how to click a button in a particular tool, but the logic and knowledge system of AI applications. (CAIE (Saiyi) official website)
3. Difficulty Comparison Between CAIE Level I and Level II
| Dimension | CAIE Level I | CAIE Level II |
|---|---|---|
| Suitable for | Complete beginners, AI beginners, workplace users, and career changers | People with Level I foundations who want to participate in AI project construction |
| Registration requirements | No requirements; anyone can register | Must pass Level I |
| Difficulty positioning | Entry to application | Advanced to engineering project |
| Assessment focus | AI fundamentals, large-model mechanisms, Prompt, multimodality, RAG, Agent, and business applications | Enterprise digital-intelligent transformation, LLM technology, AI algorithms, intelligent workflows, and engineering practice |
| Suitable for complete beginners | Suitable as a starting point | Not recommended to prepare directly from zero |
| Preparation focus | Understand concepts, master scenarios, and become familiar with AI application logic | Understand technical architecture, algorithm foundations, and enterprise-level implementation paths |
4. Where Are the Real Difficulties of the CAIE Exam?
The difficulty of the CAIE exam is not only that “there are many knowledge points,” but that candidates need to connect AI concepts, application scenarios, and engineering thinking.
1. Large-Model Concepts Cannot Stop at “Knowing How to Use Tools”
Many complete beginners can already use AI tools such as ChatGPT, Doubao, Tongyi Qianwen, Kimi, and DeepSeek, but the exam focuses not only on “whether you can ask questions,” but also on core large-model mechanisms, multimodal principles, Token, Embedding, Prompt logic, and how RAG and Agent are applied. The new Level I syllabus also strengthens the application of structured thinking, 5W2H, and the SCQA framework in Prompt. (CAIE (Saiyi) official website)
2. Do Not Rely on So-Called “Past Papers and Predictions”
Official notices specifically remind candidates that the CAIE exam is organized by randomly drawing questions from a large question bank, does not publish the actual exam questions and answers for the current session, and so-called “CAIE past papers” on the market have no practical reference value. (CAIE (Saiyi) official website)
This means the preparation strategy should be to understand the syllabus, master core concepts, and do systematic practice, rather than rote-memorize so-called question-bank answers.
3. Level II Requires Higher Technical Understanding
Level II involves AI fundamental algorithms, LLM technical foundations, and enterprise LLM engineering practice, and suits people who already have a certain AI understanding and want to enter enterprise AI projects or digital-intelligent transformation scenarios. The official level introduction also shows that people who pass Level II should be able to participate in or lead complex and systematic AI construction projects. (CAIE (Saiyi) official website)
5. How Should Complete Beginners Prepare for CAIE Level I?
Step 1: Build Basic AI Awareness First
Complete beginners should not start by memorizing concepts; they should first understand these questions:
- What are artificial intelligence, large models, and generative AI respectively?
- Why can large models generate text, images, code, and multimodal content?
- Why does Prompt affect the quality of AI output?
- What problems do RAG and Agent solve respectively?
- How is AI implemented in marketing, HR, finance, academia, healthcare, video, and other scenarios?
The goal of this stage is not to become an algorithm engineer, but to form a stable AI cognitive framework.
Step 2: Study Item by Item Around the Level I Syllabus
Suggested preparation order:
| Learning order | Module | Learning objective |
|---|---|---|
| 1 | AI fundamentals, ethics, and regulations | Understand basic AI concepts, application boundaries, and compliance awareness |
| 2 | Core mechanisms of large models and multimodal principles | Understand the basic logic of large models, Token, Embedding, and multimodality |
| 3 | Output-oriented thinking skills and AI interaction | Learn to translate needs into clear instructions |
| 4 | Prompt design and multimodal applications | Master common Prompt frameworks and text-image/audio-video scenarios |
| 5 | AI business applications | Understand how AI is applied in roles and industries |
| 6 | RAG, Agent, and advanced business strategy | Understand advanced applications such as knowledge-base augmentation, agents, and workflows |
Step 3: Use “Scenario Questions” Instead of Rote Memorization
CAIE Level I is beginner-friendly because it does not require candidates to already possess complex engineering development capabilities. But candidates must be able to judge:
- What kinds of problems are suitable for solving with Prompt?
- What kinds of problems require a RAG knowledge base?
- When is an Agent or a workflow needed?
- What biases and risks may AI output contain?
- Why do enterprises need AI business applications and digital-intelligent transformation?
Such questions test understanding rather than mechanical memorization.
6. Who Will Find CAIE Relatively Easy?
The following groups usually prepare for CAIE Level I more smoothly:
| Group | Reason |
|---|---|
| People who frequently use AI tools | Already familiar with AI interaction and basic application scenarios |
| Product, operations, marketing, and content roles | Easier to understand Prompt, AI workflows, and business applications |
| People with data analysis or programming foundations | Will understand large-model mechanisms, RAG, and Agent faster |
| People working on enterprise digital/intelligent projects | Easier to understand AI implementation and business scenarios |
| Complete beginners with strong learning ability | As long as they study systematically according to the syllabus, the entry threshold is not high |
7. Who Will Find CAIE Relatively Difficult?
The following situations clearly increase exam difficulty:
- Having no understanding of basic AI concepts
If you have never encountered concepts such as large models, Prompt, RAG, Agent, or AI workflows, taking the exam directly will be harder. - Only knowing how to use tools without understanding principles
Being able to use AI to write copy or make images does not equal understanding the AI mechanisms and application logic tested in the exam. - Trying to pass by relying on past papers and predictions
Officials have stated that the exam uses a large question bank with random question drawing and does not publish actual questions or answers. (CAIE (Saiyi) official website) - Challenging Level II directly
Level II requires passing Level I first, and its content focuses more on enterprise digital-intelligent transformation, LLM technology, algorithm foundations, and engineering practice, so it is not suitable as a first stop for complete beginners. (CAIE (Saiyi) official website)
8. Does the CAIE Exam Format Affect Difficulty?
Yes. The CAIE artificial intelligence exam uses a remote computer-based format, with one exam session arranged each month; after registering, candidates can book any session within one year. After registration, candidates can receive email and SMS notifications and view exam arrangements in “My Exam Center.” (CAIE (Saiyi) official website)
The advantage of remote computer-based exams is relatively flexible scheduling, but candidates also need to become familiar with the exam process in advance to avoid non-knowledge issues such as devices, network, and booking times affecting their performance.
9. Is CAIE Certification Suitable for Complete Beginners?
Yes, but it is better as the first certification for “systematically entering the AI application field,” rather than something to attempt with a cold-exam mindset.
For complete beginners, the value of CAIE Level I lies in:
- Building a basic AI knowledge framework;
- Understanding popular technical concepts such as large models, Prompt, RAG, and Agent;
- Mastering how AI is applied in different industries, roles, and business scenarios;
- Laying the foundation for later registering for Level II or entering AI project practice.
If candidates want to upgrade from “being able to use AI tools” to “understanding AI application logic and being able to use AI to solve problems in their roles,” then CAIE Level I is a more suitable starting point.
10. Final Advice: How Can Complete Beginners Judge Whether They Can Pass?
You can use the following table for self-assessment:
| Self-assessment question | If the answer is “yes” |
|---|---|
| Do you understand the basic meanings of large models, Prompt, RAG, and Agent? | You have basic awareness |
| Do you know the AI application scenarios in your own role? | You have application awareness |
| Can you understand the main modules in the Level I syllabus? | You have a preparation foundation |
| Are you willing to spend time on systematic learning and practice? | Your chances of passing are higher |
| Do you plan to rely on so-called past papers for a quick fix? | Higher risk; not recommended |
Overall, CAIE Level I is open and relatively friendly to complete beginners, but “being able to register” does not mean “preparation can be skipped.” Complete beginners are advised to complete at least one round of systematic study around the syllabus, then consolidate understanding with practice questions and scenario cases.
To learn about the exam syllabus, registration process, and exam schedule, visit CAIE certification official website or check CAIE certification exam introduction.
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