Building AI Agents on Alibaba Cloud Training Course
The 'Developing AI Agents on Alibaba Cloud' course offers practical guidance on creating, testing, and deploying AI agents leveraging Alibaba Cloud services.
This instructor-led live training (available online or onsite) targets beginner to intermediate developers and cloud practitioners aiming to utilize Alibaba Cloud to construct AI agents capable of reasoning, retrieving information, utilizing tools, and supporting business workflows.
Upon completion, participants will be able to:
- Grasp the fundamental components of an AI agent on Alibaba Cloud.
- Design prompts, workflows, and tool integrations for practical agent applications.
- Construct a straightforward retrieval-based agent using enterprise content.
- Securely deploy and monitor an AI agent within the Alibaba Cloud ecosystem.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live laboratory environment.
Customization Options
- To arrange customized training for this course, please contact us.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- Understanding what AI agents are and how they differ 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 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
- 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 interested in building AI-driven applications on Alibaba Cloud.
- Cloud engineers and solution architects exploring AI agent use cases.
- Technical teams tasked with prototyping or deploying intelligent assistants.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
Contact us for an exact quote and to hear our latest promotions
(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)
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