Alibaba ACA GenAI case studies
Alibaba ACA GenAI · Put your knowledge to work in context.
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 case studies are 5 cases and about 2,555 words.
1Choosing a Qwen variant for a multilingual support assistant under a latency budget
A retail team is building a customer-support assistant that must handle English, Mandarin, and Thai. They have 40,000 historical tickets with human-written resolutions, but only 3,000 are in Thai.
579 words, about 3 min2Model Studio application with retrieval, guardrails, and cost control
A financial-services firm is building an internal assistant on Model Studio. It must answer questions over 200,000 internal documents, some of which are restricted to certain departments.
497 words, about 2 min3PAI deployment: right-sizing an inference service for bursty traffic
A team has fine-tuned a Qwen model on PAI and needs to deploy it for an internal application. Traffic is bursty: near zero at night, peaks of about 40 concurrent requests during business hours, and occasional spikes to 120 during monthly reporting.
491 words, about 2 min4Lingma adoption in an enterprise with mixed legacy code and security constraints
A 300-developer enterprise is rolling out Lingma. The codebase is a mix of a modern service written in Go and a 15-year-old monolith with sparse comments and inconsistent naming.
517 words, about 3 min5Agentic workflow for invoice processing: when to use an agent vs. a fixed pipeline
An enterprise wants to automate accounts-payable invoice processing. Invoices arrive as PDFs in varied layouts, some scanned.
471 words, about 2 min