标签： AIPM exam requirements

Can Someone with No Technical Background Take the AIPM Level 1 Certification?

Current-rule check: September 9, 2026. The current AIPM official page lists remote computer-based exams lasting 90 minutes, with grades A, B and C passing. Bookable sessions and dates follow the CAIE exam center. Older question counts, numerical grade thresholds and result-processing periods are marked as historical references below; the current page checked does not confirm them. Check the current syllabus and session notice before registering or scheduling. Preparation timelines in this article are planning examples, not guarantees. CAIE’s September 3 notice said the Level I syllabus update was expected in September; that notice alone does not establish its effective date.

Conclusion: Yes, AIPM Level 1 Is Suitable for Beginners

Yes. A person with no technical background can take the AIPM Level 1 Certification.

According to the official AIPM page, AIPM, short for AI Product Manager, is a professional skills certification under the CAIE digital-intelligence talent certification system, focused on the AI product manager role and issued by CAIE Artificial Intelligence Research Institute. (CAIE（赛一）官网)

For AIPM Level 1, the official description clearly states that it is open to candidates with zero foundation and is designed for traditional product managers and professionals who want to transition into AI. The exam focuses on the basic capability framework of an AI product manager, including user insight, product design, technical judgment, and prompt engineering. (CAIE（赛一）官网)

Why Non-Technical Candidates Can Apply

AIPM Level 1 is not positioned as a pure engineering or algorithm-development certification. It does not require you to already know how to code, train models, build algorithms, or work as a data engineer.

Instead, it focuses on whether you can understand and apply AI from a product and business perspective:

Capability Area	What a Beginner Needs to Understand
AI product awareness	What an AI product manager does and how AI products differ from traditional software products
User and business analysis	How to identify user needs, business goals, and real-world product scenarios
Basic AI judgment	Basic concepts such as large language models, AI agents, multimodal AI, RAG, prompt engineering, hallucination, and capability boundaries
Prompt engineering	How to write structured prompts and use AI tools for analysis, content generation, and task optimization
Product solution design	How to describe product requirements, workflows, use cases, and evaluation metrics
Risk and compliance awareness	Basic understanding of data privacy, AI hallucination, copyright, content accuracy, and responsible AI use

This direction is also consistent with the Evaluation Standard for Digital Intelligence Talent Capability, which describes digital-intelligence talent development as a progression from basic cognition to industry-scenario integration, rather than a path limited to technical specialists.

Who Is AIPM Level 1 Suitable For?

AIPM Level 1 is especially suitable for:

Traditional product managers who want to move into AI product roles;
Operations, marketing, project, business, or consulting professionals;
Product assistants or junior PMs;
Students interested in AI product management;
Entrepreneurs or business owners planning AI product initiatives;
Career changers with no prior AI or programming background.

The official target audience also includes zero-foundation career changers, traditional product managers, technical professionals transitioning to PM roles, operations and marketing professionals, entrepreneurs, business owners, and students. (CAIE（赛一）官网)

What You Still Need to Prepare

Although you can apply without a technical background, it is not advisable to take the exam with no preparation.

AIPM Level 1 expects you to build a basic framework in these areas:

1. Understand the AI Product Manager Role

You should know how AI product managers connect:

user problems;
business objectives;
AI capabilities;
product workflows;
delivery feasibility;
evaluation metrics.

2. Learn Basic AI Concepts

You do not need to become an engineer, but you should understand core concepts such as:

large language models;
AI agents;
multimodal models;
prompt engineering;
RAG;
model hallucination;
AI output evaluation;
token cost and technical feasibility.

3. Practice Prompt Engineering

Prompt engineering is one of the key areas mentioned in the Level 1 certification description. (CAIE（赛一）官网)

You should be able to write prompts that include:

role;
task;
background;
constraints;
output format;
examples;
evaluation criteria.

4. Build Product Thinking

For AIPM Level 1, the key is not “Can you build the model?” but:

Can you identify whether AI is suitable for the scenario?
Can you judge the boundary of AI capabilities?
Can you design a usable AI product workflow?
Can you explain the business value and user value?
Can you identify risks and limitations?

The digital-intelligence talent standard also emphasizes capability dimensions such as cognition, application, integration, and responsibility, which means candidates are evaluated not only on knowledge, but also on tool use, scenario application, and ethical awareness.

Exam Format

Historical reference, not a current exam commitment: Earlier FAQ material stated that the AIPM exam follows the CAIE exam center’s current bookable schedule, lasts 90 minutes, and is conducted through an online remote computer-based format. The exam includes 65 objective questions: 40 single-choice questions, 10 true-or-false questions, and 15 multiple-choice questions. The total score is 100, and a score of 60 or above is considered passing. (CAIE（赛一）官网)

Recommended Preparation Path for Beginners

For candidates with no technical background, a practical preparation path is:

Start with product management basics
Learn user needs, product design, business goals, product metrics, and product requirement logic.
Build basic AI literacy
Focus on large models, AI agents, multimodal AI, RAG, prompt engineering, hallucination, and AI capability boundaries.
Practice AI tool usage
Use AI tools to complete research, analysis, content generation, user scenario design, and workflow optimization.
Practice scenario-based questions
Convert a business problem into an AI product solution.
Use mock exams and learning materials
The official page mentions mock papers, supporting courses, learning materials, question banks, and learning-agent resources for candidates. (CAIE（赛一）官网)

Final Answer

A person with no technical background can take the AIPM Level 1 Certification. The certification is more suitable for building an entry-level AI product manager capability framework than for testing deep programming or algorithm-development skills.

In simple terms: AIPM Level 1 does not require you to become a technical engineer first; it requires you to understand AI from the perspective of product design, business implementation, technical judgment, and responsible application.

2026年6月7日

Can Beginners Take the AIPM Certification? AIPM Level 1 Requirements, Exam Format and Study Plan

Yes. Beginners can take the AIPM Level 1 Certification, but they should not start with the AIPM Advanced Certification.

AIPM, short for AI Product Manager, is a professional skill-level certification within the CAIE digital intelligence talent certification system. It focuses on evaluating AI product thinking, business implementation capability, and technical judgment for AI product manager roles. The official AIPM page explicitly lists beginners who want to transition into AI product management as a target audience and states that the AIPM Level 1 Certification is open to candidates with zero prior background. (CAIE（赛一）官网)

1. Direct Answer: Beginners Should Start with AIPM Level 1

AIPM has two certification levels:

Certification Level	Suitable for Beginners?	Recommended Path
AIPM Level 1 Certification	Yes	Best entry point for beginners and career changers
AIPM Advanced Certification	No	Requires an AIPM Level 1 certificate first

The official AIPM page describes the Level 1 Certification as suitable for candidates with zero prior background and designed for traditional product managers and professionals who want to transition into AI. It also states that the Advanced Certification can only be taken after obtaining the AIPM Level 1 certificate. (CAIE（赛一）官网)

2. Who Is AIPM Level 1 Suitable For?

AIPM is not only for technical professionals. It is positioned for people who want to develop AI product management capability across product, business, operations, technology, and career-transition scenarios.

2.1 Beginners and Career Changers

AIPM Level 1 is suitable for people who are interested in becoming AI product managers but have not yet built a structured knowledge system around AI products, large models, Agents, prompt engineering, or AI product evaluation.

2.2 Traditional Product Managers

Traditional product managers can use AIPM Level 1 to build AI-specific product capabilities, including:

AI-native product design
AI user experience logic
technical feasibility judgment
large model capability boundaries
AI product evaluation metrics

2.3 Operations, Marketing, Growth, and Business Professionals

People from operations, marketing, customer service, sales, or growth roles often understand users and business scenarios well. AIPM can help them translate that domain understanding into AI product requirements, AI workflows, and AI-enabled business solutions.

2.4 Technical Professionals Moving into Product Roles

Developers, algorithm engineers, data analysts, and data engineers who want to move into AI product management can use AIPM to strengthen product thinking, requirement analysis, business framing, and cross-functional communication.

2.5 Students

Students in computer science, artificial intelligence, business, management, data science, or related fields can use AIPM Level 1 to prepare for AI product, AI operations, AI solution, or digital transformation roles.

3. Is AIPM Difficult for Beginners?

AIPM Level 1 is not a pure technical engineering exam, but it is also not a certificate that should be taken without preparation.

The exam focuses on the capability framework of an AI product manager rather than the ability to write algorithms from scratch. A beginner does not need to start by learning model training, deep learning mathematics, or production-level engineering. The more important task is to understand how AI products are planned, designed, evaluated, and delivered.

According to the official AIPM Level 1 outline, the assessment covers six core dimensions, including user insight, AI product design, technical feasibility judgment, multi-agent architecture, prompt engineering, and evaluation/data iteration. (CAIE（赛一）官网)

Capability Area	What Beginners Need to Learn
User insight and business strategy	User needs, Jobs-to-be-Done, demand validation, commercial logic
AI product design and definition	AI-native UX, PRD logic for probabilistic systems, human-AI boundaries
AI business sense and feasibility judgment	Large model capability boundaries, technical mismatch identification
Multi-agent architecture and logical abstraction	Agent basics, workflow decomposition, collaboration topology
Prompt engineering and context control	Structured prompts, few-shot examples, context management
Evaluation and data iteration	Evaluation metrics, LLM-as-a-Judge, feedback loops, data flywheel

4. Why Beginners Can Start with AIPM

The Evaluation Standard for Digital Intelligence Talent Capability defines digital intelligence capability as a staged development path that moves from basic cognition to tool application, scenario integration, and responsible use. It applies to professionals, students, and people in digital transformation roles, covering a full capability range from basic understanding to deep industry-scenario integration.

The standard’s capability model is built around four progressive layers:

Layer	Meaning for AIPM Beginners
Cognitive layer	Build basic understanding of data, AI, industries, and job scenarios
Application layer	Learn to use data tools, AI tools, prompts, workflows, RAG, and simple Agents
Integration layer	Apply AI to real business scenarios through “need → solution → implementation → evaluation”
Responsibility layer	Understand data security, privacy, compliance, bias, hallucination, and responsible AI use

This structure explains why beginners can start with AIPM Level 1: the learning path does not require jumping directly into complex AI systems. It starts with AI product cognition, tool use, scenario analysis, and responsible implementation.

5. What Should Beginners Learn First?

5.1 Understand the AI Product Manager Role

A beginner should first understand how an AI product manager differs from a traditional product manager.

Dimension	Traditional Product Manager	AI Product Manager
Main object	Features, workflows, user experience	Model capability, data, Agents, AI interaction
Requirement analysis	User needs and business needs	User needs + model capability boundaries
Product design	Deterministic process design	Probabilistic system design
Collaboration	Design, development, testing, operations	Algorithm, data, engineering, business, compliance
Evaluation	Conversion, retention, efficiency	Task success rate, accuracy, hallucination rate, cost, satisfaction

5.2 Learn Basic AI Concepts

Beginners should understand the following before deep exam preparation:

What large language models are
What generative AI is
What prompt engineering is
What an AI Agent is
What RAG is
What model hallucination means
Why AI output needs evaluation
Why AI products need data feedback loops
Why privacy, copyright, and compliance matter

The digital intelligence standard also defines AI Agents as AI-driven digital systems with capabilities such as perception, understanding, memory, planning, decision-making, action, and tool use.

5.3 Learn AI Product Design and Scenario Implementation

After building basic AI understanding, beginners should focus on applied product skills:

how to identify whether a problem is suitable for AI
how to define AI product requirements
how to design human-AI interaction
how to split business processes into AI workflows
how to evaluate AI output quality
how to control cost, risk, and uncertainty
how to design feedback and iteration mechanisms

The digital intelligence standard emphasizes AI tool application, including structured prompt design, multimodal generation, AI workflow building, simple model training and inference, RAG basics, and simple Agent architecture design.

6. How Long Does It Take Beginners to Prepare?

The official AIPM FAQ recommends that candidates preparing for AIPM Level 1 study about one hour per day for two weeks to one month. The exam follows the CAIE exam center’s current bookable schedule and uses an online remote computer-based format. (CAIE（赛一）官网)

For complete beginners, a safer preparation plan is:

Period	Study Focus
Week 1	Understand the AI product manager role, AIPM exam structure, and basic AI concepts
Week 2	Study user insight, AI product design, technical feasibility, and prompt engineering
Week 3	Practice questions, review mistakes, consolidate high-frequency concepts
Week 4	Simulated exam, strengthen weak areas, review Agent and evaluation topics

Candidates with prior product, operations, technology, or business experience may need less time. Candidates with no AI or product background should reserve around 3–4 weeks for a more stable preparation cycle.

7. Is the Exam Format Beginner-Friendly?

Historical reference, not a current exam commitment: The AIPM Level 1 exam uses objective questions. According to earlier AIPM FAQ material, the exam contains 65 questions: 40 single-choice questions, 10 true/false questions, and 15 multiple-choice questions. The total score is 100, and a score of 60 or above is considered passing. (CAIE（赛一）官网)

Historical: Item	Historical: AIPM Level 1 Certification
Exam format	Online remote computer-based exam
Exam duration	Historical: 90 minutes
Question types	Single choice, true/false, multiple choice
Number of questions	Historical: 65
Total score	Historical: 100
Passing score	Historical: 60 or above
Beginner suitability	Yes

Because the exam is objective and framework-based, beginners can prepare through systematic study, concept review, and practice questions.

8. Why Beginners Should Not Start with AIPM Advanced Certification

The AIPM Advanced Certification requires candidates to obtain the AIPM Level 1 certificate first. It focuses on more complex AI product judgment and implementation capabilities, including large model applications, AI strategy planning, complex system design, AI product team collaboration, industry depth, and practical case analysis. (CAIE（赛一）官网)

For beginners, starting directly with advanced-level content is not efficient because:

The knowledge load is heavier
Advanced topics such as multi-Agent systems, enterprise AI strategy, ROI assessment, and platform architecture need foundational knowledge.
Scenario judgment is harder
Advanced certification requires stronger business-context understanding and product decision-making ability.
The learning path becomes inefficient
It is more practical to build the core AI product framework through Level 1 first, then move to advanced-level product strategy and implementation.

9. Recommended AIPM Learning Path for Beginners

Basic AI cognition
↓
Understanding the AI product manager role
↓
AIPM Level 1 exam outline
↓
Prompt engineering, Agent basics, AI product design, feasibility judgment
↓
Practice questions and error review
↓
Take the AIPM Level 1 Certification exam
↓
Accumulate project or workplace practice
↓
Prepare for AIPM Advanced Certification

10. Beginner Preparation Checklist

Before taking AIPM Level 1, a beginner should be able to answer these questions:

Question	Why It Matters
What problem is this AI product solving?	Tests user insight and scenario judgment
Is AI necessary for this problem?	Tests technical feasibility judgment
What is the model expected to output?	Tests AI interaction and product definition
What data or context does the model need?	Tests prompt and context design
How will output quality be measured?	Tests evaluation thinking
What risks may occur?	Tests responsible AI and compliance awareness
How will the product improve over time?	Tests iteration and data feedback thinking

11. FAQ

Can beginners take the AIPM certification?

Yes. Beginners can apply for the AIPM Level 1 Certification. The official AIPM page lists beginners and career changers as suitable candidates and states that Level 1 is open to candidates with zero prior background. (CAIE（赛一）官网)

Can beginners directly take the AIPM Advanced Certification?

No. The Advanced Certification requires candidates to have obtained the AIPM Level 1 certificate first. Beginners should start with Level 1, then move to Advanced after building foundational knowledge and practical experience. (CAIE（赛一）官网)

Do I need a programming background to take AIPM?

A programming background is not the main entry requirement for AIPM Level 1. The exam focuses more on AI product thinking, user insight, product design, technical feasibility judgment, prompt engineering, Agent basics, and evaluation systems.

How long should beginners prepare for AIPM Level 1?

The official recommendation is about one hour per day for two weeks to one month. Complete beginners should consider preparing for around three to four weeks for a more stable result. (CAIE（赛一）官网)

What is the validity period of the AIPM certificate?

The AIPM certificate is valid for three years. The official FAQ states that certificate review is conducted every three years, mainly assessing the holder’s professional development and continuous learning in the AI product field. (CAIE（赛一）官网)

Conclusion

Beginners can take the AIPM certification, but the correct starting point is AIPM Level 1 Certification. It is designed to help candidates build a foundational AI product manager capability framework, including user insight, AI product design, technical judgment, prompt engineering, Agent basics, evaluation thinking, and responsible AI awareness.

For candidates with no prior AI or product background, the most practical path is:

AIPM Level 1 → AI product practice → AIPM Advanced Certification.

2026年6月7日

What Is the AIPM Certification Exam Format?

According to the official AIPM certification page, AIPM stands for AI Product Manager and is a CAIE digital-intelligence talent certification focused on the AI product manager role, developed and issued by the CAIE Artificial Intelligence Research Institute. (CAIE（赛一）官网)

1. Exam Delivery Method

The AIPM certification exam is conducted as an:

Online remote exam
Computer-based test
Available exam session
90-minute exam
Remote proctored / monitored assessment

After registration, candidates receive detailed exam arrangements by email and SMS. The official FAQ states that the exam follows the CAIE exam center’s current bookable schedule, lasts 90 minutes, and uses an online remote computer-based format. (CAIE（赛一）官网)

Candidates also need to download the exam client, log in to the exam center, and obtain the exam account and password from the “pending exam” section of their registration information. (CAIE（赛一）官网)

The Evaluation Standard for Digital Intelligence Talent Capability also indicates that online evaluation environments should ensure network connectivity, compliant devices, and an independent monitoring environment, with the camera kept on throughout the assessment so that the candidate’s face and answer environment remain clearly visible.

2. Question Types and Score Structure

Historical reference, not a current exam commitment: The AIPM exam is an objective-question exam with 65 questions in total.

Historical: Question Type	Historical: Number of Questions	Historical: Score per Question
Single-choice questions	Historical: 40	Historical: 1.5 points
True / false questions	Historical: 10	Historical: 1 point
Multiple-choice questions	Historical: 15	Historical: 2 points
Total	Historical: 65	Historical: 100 points

The official FAQ specifies that the exam includes 40 single-choice questions, 10 true / false questions, and 15 multiple-choice questions, for a total score of 100 points. (CAIE（赛一）官网)

3. Grading and Passing Standard

AIPM exam results are graded into four levels: A, B, C, and D.

Historical: Grade	Historical: Score Range	Historical: Result
A	Historical: 85 points or above	Pass
B	Historical: 75 points or above	Pass
C	Historical: 60 points or above	Pass
D	Historical: Below 60 points	Fail

Historical reference, not a current exam commitment: Candidates can check their results in the exam center 7 working days after the exam. (CAIE（赛一）官网)

4. Difference Between AIPM Level 1 and Advanced Certification

Certification Level	Exam Focus	Eligibility
AIPM Level 1 Certification	Focuses on the basic competency framework of AI product managers, including user insight, product design, technical judgment, and prompt engineering.	Open to beginners.
Advanced AIPM Certification	Increases theoretical difficulty and places stronger emphasis on product judgment and implementation capability in complex scenarios.	Candidates must first obtain the AIPM Level 1 certificate.

The official page states that the Level 1 certification is designed for traditional product managers and professionals seeking to transition into AI product roles, while the Advanced certification requires candidates to have already obtained the AIPM Level 1 certificate. (CAIE（赛一）官网)

Summary

In simple terms:

Historical reference, not a current exam commitment: The AIPM certification exam is a 90-minute, online remote computer-based exam. It contains 65 objective questions, with a total score of 100 points. A score of 60 or above is considered a pass. The Advanced AIPM certification requires prior completion of the AIPM Level 1 certification.

2026年6月7日