Generative AI with Alibaba Cloud Training Course
This hands-on course covers the development and implementation of AI solutions using Alibaba Cloud services.
Delivered as an instructor-led live session (available online or onsite), this training is designed for developers, architects, and technical professionals looking to leverage Alibaba Cloud to create, test, and deploy generative AI applications tailored to business needs.
Upon completion, participants will be able to:
- Gain a clear understanding of the core generative AI services offered by Alibaba Cloud.
- Develop prompts and application workflows utilizing Qwen models and Model Studio.
- Construct a basic retrieval-based AI solution incorporating enterprise data.
- Deploy and manage generative AI solutions while prioritizing security, governance, and cost efficiency.
Course Format
- Engaging lectures paired with interactive discussions.
- Extensive exercises and practical practice sessions.
- Live-lab implementation for hands-on experience.
Customization Options
- For customized training arrangements, please contact us directly.
Course Outline
Introduction to Generative AI on Alibaba Cloud
- Definition of generative AI and its organizational applications.
- Overview of Alibaba Cloud's generative AI services and key capabilities.
- Familiarization with Qwen models, Model Studio, and common business scenarios.
- Identification of opportunities, risks, and realistic outcomes for enterprise usage.
Getting Started with the Alibaba Cloud Environment
- Setting up the Alibaba Cloud account and necessary services.
- Navigating Model Studio and working with model APIs.
- Executing an initial generative AI request and analyzing the response.
- Comprehending basic parameters, token usage, and output behavior.
Prompt Design and Workflow Basics
- Crafting effective prompts for chat, summarization, and content generation.
- Leveraging instructions, examples, and output formatting for improved results.
- Testing and refining prompts to ensure consistency and quality.
- Avoiding common pitfalls in prompt design.
Building Applications with Qwen Models
- Integrating Qwen models into applications or workflows.
- Designing simple assistants and automating business task flows.
- Exploring practical text and multimodal use cases.
- Reviewing example scenarios such as support, knowledge assistance, and content drafting.
Creating a Retrieval-Based AI Solution
- Grasping retrieval-augmented generation in practical terms.
- Preparing documents and knowledge sources for accurate responses.
- Linking enterprise content to generative AI workflows.
- Evaluating response relevance, accuracy, and limitations.
Deployment, Security, and Cost Management
- Exploring deployment options for generative AI on Alibaba Cloud.
- Implementing basic security, access control, and governance practices.
- Monitoring usage, managing costs, and establishing practical safeguards.
- Troubleshooting common issues and planning post-course next steps.
Requirements
- Fundamental knowledge of cloud computing concepts.
- Experience with web applications, APIs, or cloud services is beneficial.
- Basic programming skills required.
Audience
- Developers aiming to build generative AI applications on Alibaba Cloud.
- Solution architects investigating AI services for business scenarios.
- Technical team leads and IT professionals assessing enterprise AI adoption.
Open Training Courses require 5+ participants.
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