Generative AI with Alibaba Cloud Training Course
This hands-on course explores how to build and utilize AI solutions leveraging Alibaba Cloud services.
Delivered as a live, instructor-led session (available online or onsite), this training is designed for developers, architects, and technical professionals aiming to create, test, and deploy generative AI applications tailored to business requirements using Alibaba Cloud.
Upon completion of this training, participants will be capable of:
- Gaining a comprehensive understanding of the core generative AI services offered by Alibaba Cloud.
- Constructing prompts and application workflows utilizing Qwen models and Model Studio.
- Developing a straightforward retrieval-augmented AI solution based on enterprise content.
- Deploying and managing generative AI solutions while prioritizing security, governance, and cost efficiency.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Customization Options
- To request customized training for this course, please contact us to make arrangements.
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.
- Insights into Qwen models, Model Studio, and common business scenarios.
- Identification of opportunities, risks, and realistic outcomes for enterprise adoption.
Getting Started with the Alibaba Cloud Environment
- Setting up the Alibaba Cloud account and necessary services.
- Accessing Model Studio and interacting with model APIs.
- Executing a initial generative AI request and analyzing the response.
- Understanding basic parameters, token consumption, and output behaviors.
Prompt Design and Workflow Fundamentals
- Crafting effective prompts for chat, summarization, and content generation.
- Utilizing instructions, examples, and output formatting to enhance results.
- Testing and refining prompts for consistency and quality assurance.
- 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 customer support, knowledge assistance, and content drafting.
Creating a Retrieval-Based AI Solution
- Understanding retrieval-augmented generation in practical contexts.
- Preparing documents and knowledge sources to improve answer quality.
- Linking enterprise content to generative AI workflows.
- Evaluating response relevance, accuracy, and inherent limitations.
Deployment, Security, and Cost Management
- Exploring deployment options for generative AI applications on Alibaba Cloud.
- Implementing fundamental 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.
- Prior experience with web applications, APIs, or cloud services.
- Basic programming proficiency.
Audience
- Developers seeking to build generative AI applications on Alibaba Cloud.
- Solution architects investigating AI services for specific business use cases.
- Technical team leads and IT professionals assessing enterprise AI adoption.
Open Training Courses require 5+ participants.
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