Building AI Agents on Alibaba Cloud Training Course

AI Agent Fundamentals and Alibaba Cloud Services for Government

• Understanding what AI agents are and how they differ from standard chat applications for government use.
• Common enterprise use cases in the public sector, such as customer support, knowledge assistance, and task automation.
• Core components of AI agents: models, prompts, tools, memory, and workflows, tailored for government operations.
• Overview of relevant Alibaba Cloud services for building and hosting agents for government applications.

Environment Setup and First Model Interaction

• Preparing the Alibaba Cloud account, workspace, and access credentials for government use.
• Reviewing the console, APIs, and basic development setup for government applications.
• Accessing foundation models through Model Studio or related services for government projects.
• Making a first model call and validating the response flow in a government context.

Building a Simple Agent Workflow

• Defining the agent's role, task boundaries, and expected outputs for government tasks.
• Writing clear prompts and instructions to ensure reliable behavior in government applications.
• Managing user input, response formatting, and basic conversation flow for efficient government service delivery.
• Testing and refining the agent with practical examples relevant to government operations.

Adding Enterprise Knowledge with Retrieval

• Understanding retrieval-augmented generation in practical terms for government use.
• Preparing business documents and content for knowledge grounding in government contexts.
• Connecting the agent to a knowledge source for accurate question answering in government operations.
• Evaluating whether answers are accurate, relevant, and traceable for government accountability.

Tool Use, Deployment, and Operations

• Enabling the agent to call external tools, APIs, or lightweight cloud functions for government tasks.
• Building simple business workflows such as lookup, summarization, or ticket assistance for government services.
• Deploying the agent for internal use with appropriate access control in government environments.
• Monitoring logs, usage, quality, and cost with practical operational safeguards for government operations.

Wrap-Up and Implementation Planning

• Reviewing the end-to-end agent architecture and workflow for government use.
• Identifying suitable business scenarios for pilot projects in government agencies.
• Planning next steps for improvement, governance, and team adoption of AI agents for government operations.