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Course Outline

Fundamentals of AI Agents and Alibaba Cloud Services

  • Definition of AI agents and their distinction from standard chat applications.
  • Common enterprise applications, including customer support, knowledge assistance, and task automation.
  • Core agent components: models, prompts, tools, memory mechanisms, and workflows.
  • Overview of relevant Alibaba Cloud services for constructing and hosting agents.

Environment Setup and Initial Model Interaction

  • Preparing the Alibaba Cloud account, workspace, and access credentials.
  • Navigating the console, APIs, and establishing a basic development environment.
  • Accessing foundation models via Model Studio or related services.
  • Executing an initial model call and verifying the response flow.

Constructing a Basic Agent Workflow

  • Defining the agent's role, task boundaries, and expected outcomes.
  • Crafting clear prompts and instructions to ensure reliable performance.
  • Managing user input, response formatting, and fundamental conversation flow.
  • Testing and refining the agent through practical examples.

Incorporating Enterprise Knowledge via Retrieval

  • Understanding retrieval-augmented generation from a practical perspective.
  • Preparing business documents and content for knowledge grounding.
  • Connecting the agent to a knowledge source to enable question answering.
  • Evaluating the accuracy, relevance, and traceability of generated answers.

Tool Integration, Deployment, and Operations

  • Enabling the agent to invoke external tools, APIs, or lightweight cloud functions.
  • Developing simple business workflows for tasks such as lookup, summarization, or ticket assistance.
  • Deploying the agent for internal use with appropriate access controls.
  • Monitoring logs, usage metrics, quality indicators, and costs using practical operational safeguards.

Conclusion and Implementation Planning

  • Reviewing the end-to-end agent architecture and workflow.
  • Identifying suitable business scenarios for pilot projects.
  • Planning subsequent steps for improvement, governance, and team adoption.

Requirements

  • Fundamental knowledge of cloud computing principles and web APIs.
  • Practical experience navigating cloud consoles and utilizing command-line tools.
  • Basic proficiency in Python programming.

Audience

  • Developers seeking to create AI-driven applications on Alibaba Cloud.
  • Cloud engineers and solution architects investigating AI agent use cases.
  • Technical teams tasked with prototyping or deploying intelligent assistants.
 7 Hours

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