Building AI Agents on Alibaba Cloud Training Course
This hands-on course focuses on the creation, testing, and deployment of AI agents utilizing Alibaba Cloud services.
Delivered as an instructor-led live training session (available online or in-person), it targets beginner to intermediate developers and cloud practitioners aiming to leverage Alibaba Cloud to develop AI agents capable of reasoning, information retrieval, tool usage, and supporting business workflows.
Upon completing 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 real-world agent tasks.
- Develop a basic retrieval-based agent using enterprise data.
- 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 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 basic development setup
- Accessing foundation models via 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 for reliable behavior
- Managing user input, response formatting, and basic conversation flow
- Testing and refining the agent with practical examples
Integrating Enterprise Knowledge with 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 answer accuracy, relevance, and traceability
Tool Utilization, Deployment, and Operations
- Enabling the agent to invoke external tools, APIs, or lightweight cloud functions
- Developing 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
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
- Foundational knowledge of cloud computing concepts and web APIs
- Experience navigating cloud consoles and using command-line tools
- Basic proficiency in Python programming
Audience
- Developers interested in building 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
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