Building AI Agents on Alibaba Cloud Training Course
Building AI Agents on Alibaba Cloud is a practical course on creating, testing, and deploying AI agents using Alibaba Cloud services.
This instructor-led, live training (online or onsite) is aimed at beginner-level / intermediate-level level developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can reason, retrieve information, use tools, and support business workflows.
By the end of this training, participants will be able to:
- Understand the core building blocks of an AI agent on Alibaba Cloud.
- Create prompts, workflows, and tool integrations for practical agent tasks.
- Build a simple retrieval-based agent using enterprise content.
- Deploy and monitor an AI agent securely on Alibaba Cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- What AI agents are and how they differ from standard chat applications
- Common enterprise use cases such as 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 First Model Interaction
- Preparing the Alibaba Cloud account, workspace, and access credentials
- Reviewing the console, APIs, and basic development setup
- Accessing foundation models through Model Studio or related services
- Making a first model call and validating the response flow
Building 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
Adding 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 whether answers are accurate, relevant, and traceable
Tool Use, Deployment, and Operations
- Enabling the agent to call external tools, APIs, or lightweight cloud functions
- Building 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
Wrap-Up 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
- Basic understanding of cloud computing concepts and web APIs
- Experience using a cloud console and command-line tools
- Basic Python programming experience
Audience
- Developers who want to build AI-powered applications on Alibaba Cloud
- Cloud engineers and solution architects exploring AI agent use cases
- Technical teams responsible for prototyping or deploying intelligent assistants
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