Generative AI with Alibaba Cloud Training Course
This hands-on course focuses on creating and utilizing AI solutions using Alibaba Cloud services.
Designed for developers, architects, and technical experts, this instructor-led live training (available online or onsite) teaches participants how to leverage Alibaba Cloud to build, test, and deploy generative AI applications tailored for business needs.
Upon completing this training, attendees will be able to:
- Gain a clear understanding of the core generative AI services offered by Alibaba Cloud.
- Design prompts and application workflows using Qwen models and Model Studio.
- Develop a straightforward retrieval-augmented AI solution leveraging enterprise data.
- Deploy and oversee generative AI solutions while prioritizing security, governance, and cost efficiency.
Course Delivery Format
- Engaging lectures and interactive discussions.
- Extensive practical exercises and hands-on practice.
- Live-lab implementation for real-world experience.
Customization Options
- To arrange a customized version of this course, please reach out to us.
Course Outline
Introduction to Generative AI on Alibaba Cloud
- Defining generative AI and its application in organizational contexts.
- Overview of Alibaba Cloud's generative AI services and key functionalities.
- Exploring Qwen models, Model Studio, and common business scenarios.
- Identifying opportunities, mitigating risks, and setting realistic expectations for enterprise adoption.
Getting Started with the Alibaba Cloud Environment
- Setting up the Alibaba Cloud account and configuring necessary services.
- Navigating Model Studio and interacting with model APIs.
- Executing an initial generative AI request and analyzing the output.
- Grasping fundamental parameters, token consumption, and response behavior.
Prompt Design and Workflow Fundamentals
- Crafting effective prompts for chat, summarization, and content creation.
- Utilizing instructions, examples, and formatting to enhance results.
- Testing and refining prompts to ensure consistency and quality.
- Steering clear of common pitfalls in prompt engineering.
Building Applications with Qwen Models
- Integrating Qwen models into applications or workflows.
- Designing simple assistants and automating business task flows.
- Exploring text-based and multimodal use cases practically.
- Reviewing practical examples such as customer support, knowledge assistance, and content drafting.
Creating a Retrieval-Based AI Solution
- Understanding retrieval-augmented generation in a practical context.
- Preparing documents and knowledge bases for improved accuracy.
- Linking enterprise content to generative AI workflows.
- Evaluating response relevance, accuracy, and inherent limitations.
Deployment, Security, and Cost Management
- Reviewing deployment options for generative AI applications on Alibaba Cloud.
- Implementing fundamental security measures, access controls, and governance practices.
- Monitoring usage, managing costs, and establishing practical safeguards.
- Troubleshooting common issues and planning next steps post-course.
Requirements
- Fundamental knowledge of cloud computing principles
- Prior experience with web applications, APIs, or cloud platforms
- Basic proficiency in programming
Target Audience
- Developers aiming to develop generative AI applications on Alibaba Cloud
- Solution architects investigating AI services for specific business requirements
- IT managers and technical leaders assessing enterprise adoption of AI technologies
Open Training Courses require 5+ participants.
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