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Course Outline

AI Agent Basics and Alibaba Cloud Ecosystem

  • Distinguishing AI agents from conventional chat applications and understanding their unique value
  • Exploring enterprise applications such as customer support, knowledge assistance, and task automation
  • Examining key agent elements: models, prompts, tools, memory structures, and workflow logic
  • Surveying the Alibaba Cloud services suitable for building and hosting agents

Environment Configuration and Initial Model Interaction

  • Setting up Alibaba Cloud accounts, workspaces, and security credentials
  • Reviewing console interfaces, API structures, and essential development configurations
  • Accessing foundation models via Model Studio or associated services
  • Executing the first model call to verify the response pipeline

Constructing a Basic Agent Workflow

  • Defining the agent’s specific role, operational boundaries, and anticipated outcomes
  • Crafting precise prompts and instructions to ensure consistent and reliable behavior
  • Handling user inputs, formatting responses, and managing basic conversational flows
  • Testing and optimizing the agent through real-world scenarios

Integrating Enterprise Knowledge via Retrieval

  • Gaining a practical understanding of retrieval-augmented generation
  • Preparing business documents and content for effective knowledge grounding
  • Linking the agent to knowledge sources to enhance question-answering capabilities
  • Assessing the accuracy, relevance, and traceability of generated answers

Tool Integration, Deployment, and Operational Management

  • Empowering the agent to interact with external tools, APIs, or lightweight cloud functions
  • Creating simple business processes like lookups, summarization, or ticket management
  • Deploying the agent for internal use with robust access control measures
  • Monitoring logs, usage metrics, quality indicators, and costs using practical operational safeguards

Conclusion and Implementation Strategy

  • Summarizing the end-to-end agent architecture and workflow design
  • Identifying optimal business scenarios for pilot initiatives
  • Outlining next steps for continuous improvement, governance, and team adoption

Requirements

  • Familiarity with core cloud computing concepts and web API interactions
  • Proficiency in navigating cloud consoles and utilizing command-line utilities
  • Foundational knowledge of Python programming

Target Audience

  • Developers seeking to engineer AI-driven applications on Alibaba Cloud
  • Cloud engineers and solution architects investigating AI agent applications
  • Technical teams tasked with prototyping or rolling out intelligent assistant solutions
 7 Hours

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