Building AI Agents on Alibaba Cloud Training Course
The "Developing AI Agents on Alibaba Cloud" course provides hands-on training in creating, testing, and deploying AI agents utilizing Alibaba Cloud services.
This instructor-led, live training (available online or onsite) targets beginner to intermediate developers and cloud practitioners who want to leverage Alibaba Cloud to construct AI agents capable of reasoning, retrieving information, utilizing tools, and supporting business workflows.
Upon completion of this training, participants will be able to:
- Comprehend the fundamental components of an AI agent on Alibaba Cloud.
- Design prompts, workflows, and tool integrations for practical agent applications.
- Construct a basic retrieval-based agent using 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 make arrangements.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- Defining AI agents and distinguishing them 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
- Setting up 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.
- 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 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.
- Evaluating the accuracy, relevance, and traceability of answers.
Tool Utilization, 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.
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 understanding of cloud computing concepts and web APIs.
- Experience navigating cloud consoles 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 investigating AI agent use cases.
- Technical teams responsible for prototyping or deploying intelligent assistants.
Open Training Courses require 5+ participants.
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