Building AI Agents on Alibaba Cloud Training Course
This hands-on course focuses on the creation, testing, and deployment of AI agents utilising Alibaba Cloud services.
Delivered as instructor-led live training, available online or onsite, this program is designed for developers and cloud practitioners at beginner to intermediate levels who aim to leverage Alibaba Cloud to construct AI agents capable of reasoning, retrieving information, utilising tools, and supporting business workflows.
Upon completion of this training, participants will be able to:
- Grasp the fundamental components of an AI agent on Alibaba Cloud.
- Develop prompts, workflows, and tool integrations for practical agent tasks.
- Construct a simple retrieval-based agent utilising enterprise content.
- Deploy and monitor an AI agent securely on Alibaba Cloud.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Practical implementation within a live-lab environment.
Course Customisation Options
- For tailored training requests, please contact us to arrange.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- Definition of AI agents and how they differ from standard chat applications
- Common enterprise use cases, including 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 your 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, summarisation, 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
- Fundamental understanding of cloud computing concepts and web APIs
- Experience navigating a cloud console and utilising command-line tools
- Basic proficiency in Python programming
Audience
- Developers seeking 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
Open Training Courses require 5+ participants.
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