Generative AI with Alibaba Cloud Training Course
This practical course covers the development and utilisation of AI solutions leveraging Alibaba Cloud services.
Delivered as instructor-led live training (available online or onsite), this programme is designed for developers, architects, and technical professionals looking to utilise Alibaba Cloud to create, test, and deploy generative AI applications tailored to business requirements.
Upon completion of this training, participants will be capable of:
- Gaining insight into the core generative AI services offered by Alibaba Cloud.
- Constructing prompts and application workflows using Qwen models and Model Studio.
- Developing a straightforward retrieval-based AI solution utilising enterprise data.
- Deploying and overseeing generative AI solutions while adhering to security, governance, and cost considerations.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation within a live-lab environment.
Customisation Options
- To arrange customised training for this course, please contact us directly.
Course Outline
Introduction to Generative AI on Alibaba Cloud
- An exploration of generative AI and its application within organisations
- A comprehensive overview of Alibaba Cloud's generative AI services and key capabilities
- Familiarisation with Qwen models, Model Studio, and typical business scenarios
- Identification of opportunities, risks, and realistic outcomes for enterprise implementation
Getting Started with the Alibaba Cloud Environment
- Setting up the Alibaba Cloud account and necessary services
- Navigating Model Studio and interacting with model APIs
- Executing a initial generative AI request and analysing the response
- Comprehending fundamental parameters, token consumption, and output behaviour
Prompt Design and Workflow Basics
- Authoring effective prompts for chat, summarisation, and content generation
- Utilising instructions, examples, and output formatting to enhance results
- Testing and refining prompts for 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 automation flows for business tasks
- Exploring text and multimodal use cases practically
- Reviewing example scenarios 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 improved accuracy
- Linking 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
- Fundamental 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
- Prior experience with web applications, APIs, or cloud services
- Basic programming proficiency
Audience
- Developers aiming to construct generative AI applications on Alibaba Cloud
- Solution architects investigating AI services for business applications
- Technical team leads and IT professionals assessing enterprise AI adoption
Need help picking the right course?
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