Generative AI with Alibaba Cloud Training Course
This practical course focuses on building and utilizing AI solutions leveraging Alibaba Cloud services.
Designed as an instructor-led, live training session (available online or onsite), it targets developers, architects, and technical professionals looking to use Alibaba Cloud to create, test, and deploy generative AI applications tailored for business scenarios.
Upon completion of this training, participants will be able to:
- Grasp the fundamental generative AI services offered by Alibaba Cloud.
- Design prompts and application workflows utilizing Qwen models and Model Studio.
- Develop a basic retrieval-based AI solution using enterprise data.
- Deploy and manage generative AI solutions while addressing security, governance, and cost considerations.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Generative AI on Alibaba Cloud
- Defining generative AI and its organizational applications.
- Overview of Alibaba Cloud generative AI services and key capabilities.
- Understanding Qwen models, Model Studio, and typical business scenarios.
- Identifying opportunities, risks, and realistic outcomes for enterprise use.
Getting Started with the Alibaba Cloud Environment
- Preparing the Alibaba Cloud account and required services.
- Accessing Model Studio and working with model APIs.
- Making a first generative AI request and reviewing the response.
- Understanding basic parameters, token usage, and output behavior.
Prompt Design and Workflow Basics
- Writing effective prompts for chat, summarization, and content generation.
- Using instructions, examples, and output formatting for better results.
- Testing and refining prompts for consistency and quality.
- Avoiding common prompt design mistakes.
Building Applications with Qwen Models
- Calling Qwen models from an application or workflow.
- Designing simple assistants and business task automation flows.
- Exploring text and multimodal use cases at a practical level.
- Reviewing example use cases such as support, knowledge assistance, and content drafting.
Creating a Retrieval-Based AI Solution
- Understanding retrieval-augmented generation in practical terms.
- Preparing documents and knowledge sources for better answers.
- Connecting enterprise content to a generative AI workflow.
- Evaluating response relevance, accuracy, and limitations.
Deployment, Security, and Cost Management
- Deployment options for generative AI applications on Alibaba Cloud.
- Basic security, access control, and governance practices.
- Monitoring usage, managing cost, and setting practical safeguards.
- Troubleshooting common issues and planning next steps after the course.
Requirements
- Fundamental understanding of cloud computing concepts.
- Some experience with web applications, APIs, or cloud services.
- Basic programming experience.
Audience
- Developers aiming to build generative AI applications on Alibaba Cloud.
- Solution architects exploring AI services for business use cases.
- Technical team leads and IT professionals evaluating enterprise AI adoption.
Open Training Courses require 5+ participants.
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