Generative AI with Alibaba Cloud Training Course
This practical course provides guidance on building and utilising AI solutions using Alibaba Cloud services.
Delivered as an instructor-led, live training (either online or onsite), it is designed for developers, architects, and technical professionals who wish to leverage Alibaba Cloud to create, test, and deploy generative AI applications tailored for business requirements.
Upon completion of this training, participants will be able to:
- Gain a clear understanding of the core generative AI services offered by Alibaba Cloud.
- Construct prompts and application workflows utilising Qwen models and Model Studio.
- Develop a straightforward retrieval-based AI solution leveraging enterprise content.
- Deploy and manage 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.
Course Customization Options
- To arrange customized training for this course, please contact us directly.
Course Outline
Introduction to Generative AI on Alibaba Cloud
- Defining generative AI and how organizations utilize it
- Overview of Alibaba Cloud's 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 necessary services
- Accessing Model Studio and interacting with model APIs
- Making an initial generative AI request and reviewing the response
- Understanding basic parameters, token usage, and output behaviour
Prompt Design and Workflow Basics
- Writing effective prompts for chat, summarization, and content generation
- Utilising instructions, examples, and output formatting to improve results
- Testing and refining prompts for consistency and quality
- Avoiding common prompt design pitfalls
Building Applications with Qwen Models
- Integrating Qwen models into applications or workflows
- Designing simple assistants and business task automation flows
- Exploring text and multimodal use cases practically
- Reviewing example use cases such as customer support, knowledge assistance, and content drafting
Creating a Retrieval-Based AI Solution
- Understanding retrieval-augmented generation in practical terms
- Preparing documents and knowledge sources to enhance answer quality
- 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
- Foundational security, access control, and governance practices
- Monitoring usage, managing costs, and establishing practical safeguards
- Troubleshooting common issues and planning next steps post-course
Requirements
- Fundamental understanding of cloud computing concepts
- Some prior experience with web applications, APIs, or cloud services
- Basic programming proficiency
Audience
- Developers aiming to build generative AI applications on Alibaba Cloud
- Solution architects exploring 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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