Alibaba ACA GenAI study materials
Alibaba ACA GenAI study resources

Alibaba ACA GenAI study guide

Alibaba ACA GenAI · Work through your exam, one topic at a time.

The Alibaba Cloud Certified Associate (ACA) Generative AI credential is an entry-level certification for practitioners who want to demonstrate foundational competence with Alibaba Cloud's generative AI stack. It suits developers, solution architects, pre-sales engineers, and technically minded product staff who are beginning to build or evaluate generative AI applications on Alibaba Cloud rather than deep machine-learning specialists. Preparation should centre on four areas. First, generative AI fundamentals and the Qwen model family, including the multimodal and multi-language positioning Alibaba Cloud describes for Qwen, its open-source availability, and the breadth of model types from text and image generation to video, speech recognition, and omni-modal understanding. The Alibaba ACA GenAI study guide has 4 sections and about 1,201 words.

01

Generative AI Fundamentals and Qwen Models

Generative AI here means large language models plus multimodal models (text, image, audio, video) accessed through APIs. Candidates should understand the core vocabulary: tokens (subword units that drive cost and context limits), context window (prompt + completion budget), temperature/top-p (randomness controls), and system vs.

318 words, about 2 min
02

Model Studio (Generative AI Application Development)

Model Studio is Alibaba Cloud's platform for building generative AI applications on hosted models. Candidates should understand its building blocks: model selection and API invocation, prompt templates, application orchestration (knowledge bases/RAG, plugins/tools, and agents), and observability (logs, tracing, token usage).

310 words, about 2 min
03

Platform for AI (PAI): Model Development and Deployment

PAI is Alibaba Cloud's machine-learning platform covering the model lifecycle: data preparation, training, and serving. Candidates should recognize its components at a conceptual level-interactive development environments (notebooks) for experimentation, distributed training for large jobs, and online inference/serving endpoints for deployment.

282 words, about 1 min
04

AI Coding and Enterprise AI Agents (Lingma)

Lingma is Alibaba's AI coding assistant, and this domain covers how AI coding tools and enterprise agents are used safely. Candidates should understand capabilities: code completion, natural-language-to-code, code explanation, unit-test generation, and repository-aware Q&A.

291 words, about 1 min