Building AI Agents on Alibaba Cloud Training Course
This hands-on course focuses on the creation, testing, and deployment of AI agents using Alibaba Cloud services.
Designed for beginner to intermediate developers and cloud professionals, this instructor-led live training (available online or onsite) enables participants to leverage Alibaba Cloud to construct AI agents capable of reasoning, retrieving data, utilizing tools, and supporting business workflows.
Upon completion, participants will be able to:
- Comprehend the fundamental components of an AI agent within the Alibaba Cloud ecosystem.
- Design prompts, workflows, and tool integrations for practical agent applications.
- Develop a basic retrieval-based agent utilizing enterprise content.
- Safely deploy and monitor an AI agent on Alibaba Cloud.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live lab environment.
Customization Options
- To request a customized version of this course, please contact us to arrange.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- Definition of AI agents and distinctions 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 Initial Model Interaction
- Preparing Alibaba Cloud accounts, workspaces, and access credentials
- Reviewing the console, APIs, and essential 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
- Crafting clear prompts and instructions for consistent behavior
- Managing user input, response formatting, and basic conversation flow
- Testing and refining the agent with practical examples
Integrating Enterprise Knowledge via Retrieval
- Practical understanding of retrieval-augmented generation
- Preparing business documents and content for knowledge grounding
- Connecting the agent to a knowledge source for answering questions
- Evaluating the accuracy, relevance, and traceability of answers
Tool Integration, Deployment, and Operations
- Enabling the agent to invoke external tools, APIs, or lightweight cloud functions
- Constructing simple business workflows such as lookup, summarization, or ticket assistance
- Deploying the agent for internal use with appropriate access controls
- 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
- Familiarity with using cloud consoles and command-line tools
- Basic proficiency in Python programming
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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