Building AI Agents on Alibaba Cloud Training Course
This hands-on course focuses on creating, testing, and deploying AI agents using Alibaba Cloud services.
Delivered by an instructor, this live training (available online or onsite) is designed for beginner to intermediate developers and cloud professionals who want to leverage Alibaba Cloud to build AI agents capable of reasoning, retrieving information, utilizing tools, and supporting business workflows.
Upon completing this training, participants will be able to:
- Grasp the fundamental components of an AI agent within the Alibaba Cloud ecosystem.
- Develop prompts, workflows, and tool integrations for practical agent applications.
- 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 practice sessions.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request customized training for this course, please contact us to arrange.
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 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 via Model Studio or related services
- Executing the 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
- Foundational knowledge of cloud computing concepts and web APIs
- Experience navigating a cloud console and using command-line tools
- Basic proficiency in Python programming
Audience
- Developers aiming to build AI-powered applications on Alibaba Cloud
- Cloud engineers and solution architects exploring AI agent use cases
- Technical teams tasked with prototyping or deploying intelligent assistants
Open Training Courses require 5+ participants.
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