Building AI Agents on Alibaba Cloud Training Course
The course on Developing AI Agents on Alibaba Cloud provides hands-on instruction on how to create, test, and deploy AI agents using Alibaba Cloud services.
Delivered as an instructor-led, live training session (available online or in-person), this course targets developers and cloud professionals at a beginner to intermediate level who aim 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:
- Grasp the fundamental components of an AI agent on Alibaba Cloud.
- Design prompts, workflows, and tool integrations for practical agent applications.
- Construct a basic retrieval-based agent utilizing enterprise content.
- Securely deploy and monitor an AI agent on Alibaba Cloud.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation within a live-lab environment.
Customization Options
- To request customized training for this course, please contact us to arrange.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- Understanding what AI agents are and how they differ from standard chat applications.
- Examining common enterprise use cases such as customer support, knowledge assistance, and task automation.
- Exploring core agent components: models, prompts, tools, memory, and workflows.
- Reviewing relevant Alibaba Cloud services for building and hosting agents.
Environment Setup and Initial Model Interaction
- Setting up 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.
- Executing an initial model call and validating the response flow.
Constructing a Simple Agent Workflow
- Defining the agent's role, task boundaries, and expected outputs.
- Writing clear prompts and instructions to ensure reliable behavior.
- Managing user input, response formatting, and basic conversation flow.
- Testing and refining the agent with practical examples.
Incorporating Enterprise Knowledge via 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 Usage, 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
- Fundamental understanding of cloud computing concepts and web APIs.
- Experience using a cloud console and 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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