Generative AI with Alibaba Cloud Training Course
Generative AI with Alibaba Cloud is a hands-on course designed to help participants build and implement AI solutions using Alibaba Cloud services.
This instructor-led live training, available both online and onsite, targets developers, architects, and technical professionals aiming to leverage Alibaba Cloud for creating, testing, and deploying generative AI applications tailored to business requirements.
Upon completion of this training, participants will be able to:
- Gain insight into the core generative AI services offered by Alibaba Cloud.
- Design prompts and application workflows utilizing Qwen models and Model Studio.
- Develop a straightforward retrieval-based AI solution leveraging enterprise data.
- Deploy and oversee generative AI solutions while prioritising security, governance, and cost efficiency.
Course Format
- Engaging lectures coupled with discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live laboratory environment.
Course Customisation Options
- To arrange a tailored training session for this course, please reach out to us.
Course Outline
Introduction to Generative AI on Alibaba Cloud
- Definition of generative AI and its application in organisations.
- Overview of Alibaba Cloud's generative AI services and primary capabilities.
- Insight into Qwen models, Model Studio, and common business scenarios.
- Identification of opportunities, risks, and achievable outcomes for enterprise usage.
Getting Started with the Alibaba Cloud Environment
- Setting up an Alibaba Cloud account and activating necessary services.
- Navigating Model Studio and interacting with model APIs.
- Submitting a initial generative AI request and analysing the response.
- Understanding key parameters, token consumption, and output behaviour.
Prompt Design and Workflow Basics
- Formulating effective prompts for chat interactions, summarisation, and content generation.
- Utilising instructions, examples, and output formatting to enhance 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 basic assistants and automation flows for business tasks.
- Exploring text and multimodal use cases at a practical level.
- Reviewing example scenarios such as customer support, knowledge assistance, and content drafting.
Creating a Retrieval-Based AI Solution
- Comprehending retrieval-augmented generation in practical terms.
- Preparing documents and knowledge sources to improve response quality.
- Integrating enterprise content into a generative AI workflow.
- Evaluating the relevance, accuracy, and limitations of responses.
Deployment, Security, and Cost Management
- Exploring deployment options for generative AI applications on Alibaba Cloud.
- Implementing fundamental security measures, access control, and governance practices.
- Monitoring usage, managing expenses, and establishing practical safeguards.
- Troubleshooting common issues and planning subsequent steps after the course.
Requirements
- Fundamental understanding of cloud computing concepts.
- Some familiarity with web applications, APIs, or cloud services.
- Bearable programming experience.
Audience
- Developers keen on constructing 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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