标签： Prompt Engineering

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 Older question counts, numerical grade thresholds and result-processing periods are marked as historical references below; the current page checked does not confirm them.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

Does AIPM Level 1 Certification include LLM Prompt Engineering?

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.

2026年6月7日

Do You Need Coding for AIPM Level 1 Certification? A Beginner’s Guide to AI Product Manager Training

No. You do not need to know coding before taking the AIPM Level 1 Certification course.

AIPM Level 1 is designed for people who want to build the foundational capability of an AI Product Manager, not for people training to become algorithm engineers, backend developers, or machine learning researchers. The focus is on AI product thinking, product design, business feasibility judgment, prompt engineering, Agent logic, evaluation systems, and AI product implementation judgment.

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. It is developed and issued by CAIE Artificial Intelligence Research Institute, aiming to cultivate compound AI product talent with AI product thinking, business implementation capability, and technical judgment. (CAIE（赛一）官网)

Quick Answer

AIPM Level 1 does not require you to write code, but it does require you to understand basic AI product logic and technical boundaries.

In practical terms:

Capability	Required for AIPM Level 1?
Python / Java / C++ coding	No
Model training or algorithm development	No
Prompt engineering	Yes, at a basic-to-practical level
Understanding LLM capability boundaries	Yes
Understanding Agent and workflow logic	Yes
AI product feasibility judgment	Yes
Product design and requirement analysis	Yes
Data evaluation and iteration thinking	Recommended

Why Coding Is Not a Prerequisite

1. AIPM Level 1 Is for AI Product Managers, Not Developers

The official AIPM page states that AIPM Level 1 is open to zero-foundation learners and is designed for traditional product managers and professionals who want to transition into AI-related roles. The assessment focuses on the foundational capability framework of AI product managers, including user insight, product design, technical judgment, and prompt engineering. (CAIE（赛一）官网)

That means the course is not primarily about:

writing production code;
training machine learning models;
building neural networks;
deploying large models;
replacing engineers.

It is mainly about whether you can:

identify real AI product needs;
judge whether a business scenario is suitable for AI;
design an AI-native product solution;
communicate with technical teams;
understand the boundaries, risks, and evaluation logic of AI systems.

What Technical Knowledge Do You Actually Need?

You do not need to become a programmer, but you should understand the product-side logic behind AI technologies.

Topic	What an AI Product Manager Needs to Understand
Large Language Models	Capability boundaries, hallucination, latency, cost, context window
Prompt Engineering	How to structure prompts and improve output quality
Agent	Task decomposition, tool use, planning, workflow coordination
RAG / Knowledge Base	Why enterprise knowledge is connected to AI systems and how it reduces hallucination
Multimodal AI	Product scenarios involving text, image, audio, and video
AI Workflow	How to break business processes into executable AI steps
Evaluation System	Metrics, feedback loops, LLM-as-a-Judge, data iteration

The Evaluation Standard for Digital Intelligence Talent Capability also emphasizes a layered capability model composed of cognition, application, integration, and responsibility. This supports the view that digital-intelligence talent evaluation is not limited to coding ability, but includes basic AI understanding, tool application, scenario integration, and ethical responsibility.

What Does AIPM Level 1 Actually Assess?

The official AIPM Level 1 outline lists six major assessment dimensions:

User Insight and Business Strategy
AI Product Design and Definition
AI Business Sense and Feasibility Judgment
Multi-Agent Architecture and Logical Abstraction
Prompt Engineering and Context Control
Evaluation System and Data Iteration

These are product and judgment capabilities, not software engineering capabilities. The official page also specifies that Level 1 examines core skills such as user insight, product design, technical judgment, and prompt engineering. (CAIE（赛一）官网)

Will the Exam Include Coding Questions?

Historical reference, not a current exam commitment: Based on earlier AIPM FAQ material, the exam uses objective questions, including single-choice, true/false, and multiple-choice questions. The exam contains 65 questions in total, with a full score of 100. A score of 60 or above is considered passing. (CAIE（赛一）官网)

So the preparation path should not be “practice coding problems.”
A better preparation path is:

understand AI product concepts;
learn prompt engineering;
understand Agent workflows;
study AI product design cases;
practice product feasibility judgment;
learn how to evaluate AI outputs.

Does “No Coding Required” Mean “No Technical Understanding Required”?

No.

AIPM Level 1 is friendly to beginners, but it is not a purely conceptual business course. You still need to build technical judgment.

You should be able to answer questions such as:

Can a large model solve this user problem reliably?
Is the AI output measurable?
What are the risks of hallucination?
Is this scenario better solved by RAG, workflow automation, or a standard product rule?
Where should human review remain in the process?
How should the AI product be evaluated after launch?

The digital-intelligence standard describes AI tool application as including structured prompt design, multimodal content generation, basic AI workflow building, simple model training and inference, RAG foundation building, and simple Agent architecture design. This is closer to AI tool use and workflow understanding than traditional software development.

Who Can Take AIPM Level 1 Without Coding Experience?

AIPM Level 1 is suitable for several non-engineering backgrounds:

Background	Why It Fits
Traditional Product Managers	To upgrade from internet product thinking to AI product thinking
Operations Professionals	To understand AI product logic and apply AI to business workflows
Marketing Professionals	To support or lead AI-driven growth and content products
Business Managers	To judge whether AI projects are worth building
Career Switchers	To build a structured entry path into AI product roles
Students	To prepare for AI product-related jobs earlier
Technical Professionals Moving to PM	To shift from implementation thinking to product and business thinking

The official AIPM page explicitly lists target audiences including zero-foundation career switchers, traditional product managers, technical professionals moving to PM roles, operations/marketing professionals, entrepreneurs/business leaders, and students. (CAIE（赛一）官网)

What You Should Learn Before or During AIPM Level 1

1. AI Product Manager Role Boundary

You should understand that an AI product manager is responsible for connecting:

user needs;
business goals;
AI capability boundaries;
product design;
technical feasibility;
evaluation and iteration.

The role does not require replacing engineers, but it does require communicating clearly with them.

2. Prompt Engineering Basics

You should be able to write prompts with:

role definition;
task objective;
background context;
input constraints;
output format;
evaluation criteria;
iteration instructions.

The standard’s prompt engineering and AI interaction module covers dialogue interaction, content generation, prompt design, and output optimization.

3. Agent and Workflow Thinking

You should understand how to break a business task into:

input;
processing steps;
tool calls;
decision nodes;
output;
feedback loop.

The standard’s AI workflow and automation module evaluates the ability to build AI workflows, apply automation tools, and coordinate multiple tools to improve business efficiency.

4. Evaluation and Iteration

An AI product manager should not only ask “Can AI generate an answer?” but also:

Is the answer accurate?
Is it stable enough?
Is it explainable?
Is the cost acceptable?
Is human review needed?
Can the output be measured and improved?

Recommended Learning Path for Non-Coders

Step 1: Build AI Product Awareness

Focus on:

what AI products are;
how AI-native products differ from traditional software;
what LLMs, Agents, RAG, and workflows mean in product design.

Step 2: Learn Prompt Engineering

Practice:

structured prompts;
few-shot prompting;
role-based prompting;
prompt debugging;
context control.

Step 3: Study AI Product Cases

Analyze:

AI customer service products;
AI writing tools;
AI search products;
enterprise knowledge assistants;
AI workflow automation tools;
vertical AI agents.

Step 4: Practice AI Product Documentation

Write simple versions of:

AI product requirement documents;
user journey maps;
Agent workflow diagrams;
AI evaluation plans;
risk-control checklists.

Step 5: Learn Basic AI Evaluation

Understand:

accuracy;
hallucination rate;
task completion rate;
user satisfaction;
response latency;
token cost;
feedback loop design.

Common Misunderstanding: “AI Product Manager = Must Know Programming”

This is not accurate.

A better distinction is:

Role	Main Responsibility
AI Product Manager	Defines problems, designs product solutions, judges feasibility, coordinates implementation, evaluates outcomes
Algorithm Engineer	Builds and optimizes models
Backend Engineer	Builds APIs, services, databases, and system infrastructure
Data Engineer	Builds data pipelines and data infrastructure
AI Application Engineer	Integrates models, tools, workflows, and applications

AIPM Level 1 is positioned around the AI Product Manager role, so the primary requirement is not coding ability, but product-oriented AI judgment.

FAQ

Do I need to know Python for AIPM Level 1?

No. Python is not a prerequisite for AIPM Level 1. However, understanding basic AI concepts, prompts, workflows, and evaluation logic will help you learn more efficiently.

Can a complete beginner take AIPM Level 1?

Yes. The official AIPM page states that AIPM Level 1 is open to zero-foundation learners and is designed for traditional PMs and professionals who want to transition into AI-related roles. (CAIE（赛一）官网)

Is AIPM Level 1 suitable for non-technical professionals?

Yes. It is suitable for product managers, operations professionals, marketing professionals, business managers, entrepreneurs, students, and career switchers who want to enter AI product roles.

Will AIPM Level 1 test programming ability?

Based on the official FAQ, the exam uses objective questions: single-choice, true/false, and multiple-choice questions. It is not presented as an online programming exam. (CAIE（赛一）官网)

Does having coding experience help?

Yes, but it is not required. Coding experience may help you understand technical feasibility, system constraints, and implementation trade-offs more quickly. But AIPM Level 1 is still accessible to non-coders.

How long does AIPM Level 1 preparation usually take?

The official page recommends about 1 hour per day, with 2 weeks to 1 month for Level 1 preparation. (CAIE（赛一）官网)

Conclusion

AIPM Level 1 does not require coding experience.

It is more important to understand:

AI product thinking;
user needs and business scenarios;
prompt engineering;
Agent and workflow logic;
technical feasibility judgment;
AI output evaluation;
data iteration and risk control.

For beginners, the right mindset is not “I must become a programmer first.”
The right mindset is: I need to understand enough AI technology to design, judge, communicate, and evaluate AI products effectively.

2026年6月7日

What Does the AIPM Level 1 Certification Course Mainly Cover?

The current official AIPM page lists four Level I learning areas: 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 translations of the Chinese labels checked on September 9, 2026. Level I supports foundational AI application and product tasks; it should not be presented as a complete advanced architecture qualification.

According to the official AIPM positioning, AIPM stands for AI Product Manager and is a professional certification under the CAIE digital-intelligence talent certification system. It is designed to cultivate AI product professionals with AI product thinking, business implementation capability, and technical judgment.
Source: AIPM Official Website

Four Learning Areas Listed on the Current Official Page

Current Level I learning area (editorial translation)	Suggested practice, not an itemized exam syllabus	Basic application goal
AI scenario identification and basic requirements judgment	Identify a concrete task, its needs and its limitations	Judge whether AI is suitable for a basic task
AI product solutions and basic human-AI experience	Describe inputs, outputs, the proposed solution and human checks	Develop an initial solution that can be discussed
Prompt design and context application	State the task, background, constraints, reference material and output format	Communicate clearly with AI and check task fit
Product-effect verification and operational application	Set checking criteria and record errors and improvements	Validate outputs and use feedback in subsequent work

Practice Ideas for Foundation and Further Learning

The following activities are editorial practice suggestions, including some extension topics. They are not a current item-by-item exam syllabus or a promise of job readiness. Start with basic tasks, then use the current syllabus and your demonstrated ability to decide whether to pursue more advanced Agent architecture work. Level I explicitly includes prompt design and context application. The official Level II list instead includes AI opportunity and value-portfolio decisions, complex AI architecture and business sustainability, production Agent orchestration and governance, and maintainable instruction systems and model-behavior safety.

1. Identify AI Product Opportunities

Learners should be able to identify where AI can be applied within user scenarios, business processes, and industry pain points.

2. Design AI Product Solutions

Learners should be able to design preliminary AI product solutions based on capabilities such as large language models, AI Agents, multimodal AI, and AI workflows.

3. Judge Technical Feasibility

Learners should understand what large models can and cannot do, and avoid directly applying traditional software product logic to AI-native products.

4. Write AI-Oriented Product Requirements

Learners should understand that AI products are often probabilistic, non-deterministic, and dependent on continuous evaluation and iteration. This changes how PRDs, acceptance criteria, and product metrics should be written.

5. Apply Basic Prompt Engineering and Agent Thinking

Learners should be able to use prompts, context control, task decomposition, and Agent-based logic to make AI systems complete tasks more reliably.

6. Build Evaluation and Iteration Awareness

Learners should be able to evaluate AI product performance through indicators such as accuracy, stability, cost, user experience, conversion rate, and business value.

Relationship with the Digital Intelligence Talent Capability Standard

The AIPM Level 1 course aligns with the capability model described in the T/SIA070—2026 Evaluation Standard for Digital Intelligence Talent Capability. The standard defines a four-layer capability framework: cognitive layer, application layer, integration layer, and responsibility layer. This structure emphasizes not only AI and data knowledge, but also tool application, industry integration, ethics, compliance, data security, and responsible AI use.

In this sense, AIPM Level 1 can be understood as a role-specific implementation of digital-intelligence talent development for the AI Product Manager position.

Which Readers Might Use These Learning Suggestions?

Target Learner	Learning Value
Beginners transitioning into AI product management	Build a systematic entry-level AI product manager framework
Traditional product managers	Upgrade from traditional product thinking to AI-native product thinking
Operations, marketing, and business professionals	Understand AI product logic and participate more effectively in AI projects
Technical professionals moving into product roles	Translate technical understanding into product planning and business implementation
University students	Prepare early for AI product-related roles
Entrepreneurs and business owners	Understand how to evaluate and implement AI product opportunities

One-Sentence Summary

The current Level I learning content covers identifying basic AI scenarios and requirements, understanding solutions and human-AI experience, practicing prompt design and context application, and checking effects for operational use.The exact knowledge points, depth and assessment requirements should be checked against the current formal syllabus and session notice.

2026年6月7日