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Course Outline

Overview of Generative AI on Alibaba Cloud

  • Definition of generative AI and its strategic applications within organizations
  • Summary of Alibaba Cloud’s generative AI portfolio and core functional capabilities
  • Examination of Qwen model architectures, Model Studio platform, and applicable enterprise scenarios
  • Assessment of potential benefits, operational risks, and feasible outcomes for institutional adoption

Establishing the Alibaba Cloud Infrastructure

  • Provisioning Alibaba Cloud accounts and configuring requisite service dependencies
  • Navigating Model Studio interface and utilizing model application programming interfaces (APIs)
  • Executing initial generative AI queries and analyzing system responses
  • Comprehending fundamental parameters, token consumption metrics, and output behavior

Prompt Engineering and Workflow Fundamentals

  • Formulating precise prompts for conversational interfaces, content summarization, and text generation
  • Utilizing instructional frameworks, contextual examples, and structured output formats to enhance accuracy
  • Iteratively testing and optimizing prompts to ensure consistency and quality standards
  • Identifying and mitigating common errors in prompt design

Developing Applications with Qwen Models

  • Integrating Qwen models into software applications and automated workflows
  • Designing lightweight digital assistants and automating routine business processes
  • Exploring practical implementations for text-based and multimodal interactions
  • Analyzing sample deployments including customer support automation, knowledge retrieval, and document drafting

Implementing Retrieval-Augmented Generation Solutions

  • Practical understanding of retrieval-augmented generation mechanisms
  • Preprocessing documents and organizing knowledge repositories to improve query response quality
  • Linking internal enterprise data assets to generative AI processing pipelines
  • Evaluating the relevance, factual accuracy, and inherent limitations of generated responses

Deployment, Security Compliance, and Cost Governance

  • Available deployment configurations for generative AI solutions on Alibaba Cloud
  • Essential security protocols, identity access management, and governance frameworks
  • Strategies for usage monitoring, cost containment, and establishing operational safeguards
  • Resolving common technical challenges and outlining post-training action plans for continued development

Requirements

**Prerequisites** * Foundational knowledge of cloud computing principles * Familiarity with web application development, application programming interfaces (APIs), or cloud-based services * Basic proficiency in software programming **Target Audience** * Software developers tasked with creating generative artificial intelligence applications on the Alibaba Cloud platform * Solution architects assessing artificial intelligence capabilities for organizational implementation * Technical leadership and information technology professionals evaluating enterprise-grade AI adoption strategies tailored **for government** operations
 7 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

Generative AI with Alibaba Cloud

2026-09-09 09:30
7 hours
New Orleans, LA - Regus - Place St. Charles
$ 1630 (Online)
$ 2230 (Classroom)

Generative AI with Alibaba Cloud

2026-09-23 09:30
7 hours
Flowood, MS – Regus at Market Street
$ 1630 (Online)
$ 2230 (Classroom)

Generative AI with Alibaba Cloud

2026-10-07 09:30
7 hours
Reno, NV – Regus - Downtown
$ 1630 (Online)
$ 2230 (Classroom)

Generative AI with Alibaba Cloud

2026-10-21 09:30
7 hours
Nashua, NH – Regus at One Tara Boulevard
$ 1630 (Online)
$ 2230 (Classroom)

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