Building AI Agents on Alibaba Cloud Training Course
This practical course focuses on the creation, testing, and deployment of AI agents using Alibaba Cloud services.
Delivered as instructor-led live training (available online or onsite), it is designed for beginner to intermediate developers and cloud professionals looking to leverage Alibaba Cloud to construct AI agents capable of reasoning, information retrieval, tool usage, and supporting business workflows.
Upon completion, participants will be able to:
- Grasp the fundamental components of AI agents within the Alibaba Cloud ecosystem.
- Design prompts, workflows, and tool integrations for real-world agent tasks.
- 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 practical application.
- Hands-on implementation in a live laboratory environment.
Customization Options
- To arrange customized training for this course, please contact us directly.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- Definition of AI agents and their distinction from standard chat applications
- Common enterprise use cases, including customer 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 Initial Model Interaction
- Preparing the Alibaba Cloud account, workspace, and access credentials
- Reviewing the console, APIs, and initial development configuration
- Accessing foundation models via Model Studio or related services
- Executing the first model call and validating the response flow
Constructing a Simple Agent Workflow
- Defining the agent's role, task boundaries, and expected outputs
- Crafting clear prompts and instructions to ensure reliable behavior
- Handling user input, response formatting, and basic conversation flow
- Testing and refining the agent using practical examples
Integrating 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 capabilities
- Evaluating the accuracy, relevance, and traceability of generated answers
Tool Utilization, Deployment, and Operations
- Enabling the agent to invoke external tools, APIs, or lightweight cloud functions
- Developing simple business workflows such as data lookup, summarization, or ticket assistance
- Deploying the agent for internal use with appropriate access controls
- Monitoring logs, usage metrics, quality, and costs with practical operational safeguards
Conclusion 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
- Practical experience navigating cloud consoles and command-line interfaces
- Basic proficiency in Python programming
Target Audience
- Developers aiming to build 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
Open Training Courses require 5+ participants.
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