Building AI Agents on Alibaba Cloud Training Course
Constructing AI Agents on Alibaba Cloud is a hands-on course designed for creating, testing, and deploying AI agents using Alibaba Cloud services.
This instructor-led live training (available online or on-site) targets beginner to intermediate developers and cloud practitioners who wish to leverage Alibaba Cloud to build AI agents capable of reasoning, retrieving information, utilizing tools, and supporting business workflows.
Upon completion of this training, participants will be able to:
- Comprehend the fundamental components of an AI agent on Alibaba Cloud.
- Create prompts, workflows, and tool integrations for practical agent tasks.
- Develop a simple retrieval-based agent utilising enterprise content.
- Deploy and monitor an AI agent securely on Alibaba Cloud.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practice opportunities.
- Hands-on implementation within a live lab environment.
Course Customisation Options
- To request customised training for this course, please contact us to arrange.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- What AI agents are and how they differ from standard chat applications
- Common enterprise use cases such as support, knowledge assistance, and task automation
- Core agent components: models, prompts, tools, memory, and workflows
- Overview of relevant Alibaba Cloud services for building and hosting agents
Environment Setup and First Model Interaction
- Preparing the Alibaba Cloud account, workspace, and access credentials
- Reviewing the console, APIs, and basic development setup
- Accessing foundation models through Model Studio or related services
- Making a first model call and validating the response flow
Building a Simple Agent Workflow
- Defining the agent's role, task boundaries, and expected outputs
- Writing clear prompts and instructions for reliable behaviour
- Managing user input, response formatting, and basic conversation flow
- Testing and refining the agent with practical examples
Adding Enterprise Knowledge with Retrieval
- Understanding retrieval-augmented generation in practical terms
- Preparing business documents and content for knowledge grounding
- Connecting the agent to a knowledge source for question answering
- Evaluating whether answers are accurate, relevant, and traceable
Tool Use, Deployment, and Operations
- Enabling the agent to call external tools, APIs, or lightweight cloud functions
- Building simple business workflows such as lookup, summarization, or ticket assistance
- Deploying the agent for internal use with appropriate access control
- Monitoring logs, usage, quality, and cost with practical operational safeguards
Wrap-Up and Implementation Planning
- Reviewing the end-to-end agent architecture and workflow
- Identifying suitable business scenarios for pilot projects
- Planning next steps for improvement, governance, and team adoption
Requirements
- Basic understanding of cloud computing concepts and web APIs
- Experience using a cloud console and command-line tools
- Basic Python programming experience
Audience
- Developers who want to build AI-powered applications on Alibaba Cloud
- Cloud engineers and solution architects exploring AI agent use cases
- Technical teams responsible for prototyping or deploying intelligent assistants
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