ACP-220 study guide
ACP-220 · Work through your exam, one topic at a time.
ACP-220 is an Alibaba Cloud certification exam focused on the company's AI cloud platform and generative AI stack. The source material available for this profile is Alibaba Cloud's public homepage, which describes a platform of "80+ Cloud Products" with "Free Tokens · 400+ Models" and "1:1 Technical Support," positioned for "AI Builders shaping the future and Enterprises scaling AI securely." The exam blueprint splits evenly across four domains at 25% each: AI Model and Product Knowledge; Model Studio and Generative AI Application Development; Platform for AI (PAI) and Model Lifecycle; and AI Coding, Multimodal and Speech Services. The ACP-220 study guide has 4 sections and about 1,527 words.
01AI Model and Product Knowledge
This domain tests whether you can match Alibaba Cloud's model families and products to the right job. Know the Qwen (Tongyi Qianwen) family shape: general chat models, larger and smaller parameter tiers, long-context variants, and specialized models for code, math, and vision-language input.
317 words, about 2 min02Model Studio and Generative AI Application Development
Model Studio (Bailian) is the platform for building generative AI applications on Alibaba Cloud. Candidates should understand the core building blocks: model invocation through APIs, prompt templates, knowledge bases for retrieval-augmented generation (RAG), application orchestration, and agent-style workflows that call tools.
313 words, about 2 min03Platform for AI (PAI) and Model Lifecycle
PAI is Alibaba Cloud's machine learning platform covering the model lifecycle: data preparation, training, tuning, deployment, and monitoring. Know the main components at a conceptual level.
276 words, about 1 min04AI Coding
AI coding on Alibaba Cloud centers on assistant tools that generate, complete, explain, and refactor code within an IDE or through APIs. Candidates should understand the workflow: the assistant receives context (open files, cursor position, instructions), proposes code, and the developer reviews and accepts it.
621 words, about 3 min