Building AI Agents on Alibaba Cloud Training Course
Developing AI Agents on Alibaba Cloud is a hands-on course focused on the creation, testing, and deployment of AI agents leveraging Alibaba Cloud services.
This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level developers and cloud practitioners who wish to utilize Alibaba Cloud to build AI agents capable of reasoning, retrieving information, utilizing tools, and supporting business workflows.
Upon completion of this training, participants will be able to:
- Grasp the fundamental building blocks of an AI agent on Alibaba Cloud.
- Design prompts, workflows, and tool integrations for practical agent tasks.
- Construct a simple retrieval-based agent using enterprise content.
- Deploy and monitor an AI agent securely on Alibaba Cloud.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation within a live lab environment.
Customization Options
- For tailored training needs, please contact us to arrange a customized session.
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 Initial Model Interaction
- Setting up 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
- Performing 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 consistent behaviour
- 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 invoke external tools, APIs, or lightweight cloud functions
- Building simple business workflows such as lookups, 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
- Fundamental understanding of cloud computing concepts and web APIs
- Experience navigating cloud consoles and using command-line tools
- Basic proficiency in Python programming
Target 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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