Building AI Agents on Alibaba Cloud Training Course
This practical course on Developing AI Agents on Alibaba Cloud covers the creation, testing, and deployment of AI agents using Alibaba Cloud services.
This instructor-led, live training (available online or onsite) is designed for beginner to intermediate developers and cloud practitioners who want to leverage 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 core building blocks of an AI agent on Alibaba Cloud.
- Create prompts, workflows, and tool integrations for practical agent tasks.
- Construct a simple retrieval-based agent utilizing 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 in a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to arrange.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- What AI agents are and how they differ from standard chat applications
- Common enterprise use cases such as 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
- Basic understanding of cloud computing concepts and web APIs
- Experience using a cloud console and command-line tools
- Basic Python programming experience
Audience
- Developers who want to build AI-powered applications on Alibaba Cloud
- Cloud engineers and solution architects exploring AI agent use cases
- Technical teams responsible for prototyping or deploying intelligent assistants
Need help picking the right course?
Building AI Agents on Alibaba Cloud Training Course - Enquiry
Upcoming Courses
Related Courses
Building Intelligent Agents with Quark
14 HoursThis instructor-led, live training in the UAE (online or onsite) is designed for intermediate-level AI engineers and software developers who want to build intelligent agents using Quark for tasks like process automation, dynamic decision-making, and workflow optimization.
By the end of this training, participants will be able to:
- Understand the architecture and capabilities of Quark.
- Design and implement intelligent agents using Quark for automation tasks.
- Integrate Quark with existing systems for data processing and decision-making.
- Develop real-time decision-making workflows using Quark.
Customizing and Deploying Qwen for Enterprise Applications
14 HoursThis instructor-led live training in the UAE (online or onsite) is designed for advanced AI developers and enterprise architects looking to customize and deploy Qwen for various enterprise applications.
By the end of this training, participants will be able to:
- Tailor Qwen to meet specific organizational requirements.
- Deploy Qwen in cloud or on-premises environments.
- Integrate Qwen with existing enterprise systems and applications.
- Monitor and optimize the performance of Qwen-based solutions.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-driven analytics platform engineered to bridge data sources, model insights, and produce dynamic dashboards. Within enterprise settings, implementing robust governance and security measures is essential to guarantee safe and compliant adoption.
This instructor-led, live training (available online or on-site) is tailored for advanced-level enterprise professionals seeking to deploy governance, compliance, and security frameworks for WrenAI at scale.
Upon completion of this training, participants will be equipped to:
- Design and implement permissioning architectures within WrenAI.
- Apply auditability and monitoring protocols to ensure compliance.
- Establish secure environments with enterprise-grade controls.
- Safely deploy WrenAI across large organizational structures.
Course Format
- Interactive lectures and discussions.
- Hands-on labs focused on governance and security configurations.
- Practical exercises that simulate enterprise rollout scenarios.
Customization Options
- To arrange customized training for this course, please contact us.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organizations to shift from static dashboards to conversational analytics and embedded generative BI. This transformation necessitates strategic adoption planning, comprehensive asset migration, and robust change management practices.
This instructor-led, live training (available online or onsite) is designed for intermediate-level BI and data platform professionals aiming to modernize their legacy BI systems using WrenAI.
Upon completion of this training, participants will be equipped to:
- Assess legacy BI environments and pinpoint modernization opportunities.
- Plan and execute migrations from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI functionalities.
- Drive organizational change management efforts for BI modernization.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Course Customization Options
- To request tailored training for this course, please contact us to arrange.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL and provides AI-driven analytics, streamlining data access and making it more intuitive. For enterprise-level applications, rigorous quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led live training, available online or onsite, is designed for advanced data and analytics professionals seeking to assess query accuracy, apply prompt tuning methods, and establish observability practices for monitoring WrenAI in production environments.
Upon completion of this training, participants will be equipped to:
- Assess the accuracy and reliability of natural language to SQL outputs.
- Implement prompt tuning techniques to enhance system performance.
- Monitor data drift and query behavior over time.
- Integrate WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on evaluation and tuning techniques.
- Hands-on labs covering observability and monitoring integrations.
Customization Options
- For tailored training arrangements, please contact us to discuss your specific needs.
Quark for Automated Customer Service and Support
7 HoursThis instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level customer service managers and automation specialists who wish to leverage Quark for automating customer support operations and improving efficiency.
By the end of this training, participants will be able to:
- Understand the key features and functionalities of Quark.
- Automate customer service workflows using Quark.
- Integrate Quark with existing customer support systems.
- Monitor and optimize automated customer interactions.
Qwen Chat for Business Productivity: AI Assistance for Office Work
14 HoursQwen Chat is an AI-powered assistant designed to streamline daily business activities by helping users summarize content, generate communications, and organize information efficiently.
This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to enhance their productivity through practical, non-technical AI assistance in day-to-day office workflows.
At the conclusion of the program, participants will be equipped to:
- Leverage Qwen Chat to generate clear and effective written content.
- Summarize documents and extract key information for decision-making.
- Streamline meeting preparation and internal communications.
- Use AI to support research, data organization, and routine administrative tasks.
Format of the Course
- Instructor explanations combined with interactive demonstrations.
- Scenario-based practice exercises for real office use cases.
- Hands-on application with guided AI workflows.
Course Customization Options
- For tailored training aligned with your organization’s workflows, we can customize the agenda to match your needs.
Qwen Chat for Content & Knowledge Management
14 HoursQwen Chat is an AI-powered assistant engineered to assist organizations in creating, organizing, and maintaining high-quality internal content and knowledge assets.
This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to streamline documentation efforts, enhance content accuracy, and optimize knowledge management processes using AI.
Upon completion of this training, participants will be equipped to:
- Clean and structure internal documentation to ensure clarity and consistency.
- Generate and refine policies, SOPs, and guidelines.
- Create accurate FAQs and knowledge base articles for internal use.
- Leverage AI to support content updates, versioning, and governance.
Format of the Course
- Instructor-led demonstrations with interactive discussion.
- Hands-on exercises using real documentation scenarios.
- Practical activities focused on managing internal knowledge assets.
Course Customization Options
- Customized versions of this training can be arranged to match your organization’s content workflows and documentation standards.
Qwen Chat for Customer Support & Client Communication
14 HoursQwen Chat is a versatile AI-powered assistant designed to improve communication, boost response quality, and support scalable customer service operations.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to use Qwen Chat to streamline support tasks, enhance client interactions, and strengthen communication consistency across teams.
Upon completion of this training, participants will gain the skills to:
- Create effective AI-assisted support responses.
- Develop reusable templates for common inquiries.
- Apply prompt strategies for accurate and reliable outputs.
- Leverage Qwen Chat to improve follow-up, escalation, and documentation workflows.
Format of the Course
- Guided demonstrations with practical examples.
- Hands-on exercises modeled after real support scenarios.
- Interactive practice sessions using a live-lab environment.
Course Customization Options
- Custom adaptations may be arranged to align with your organization’s support workflows and communication standards.
Qwen Chat Governance & Responsible Use in the Workplace
14 HoursQwen Chat is an artificial intelligence-powered tool designed for communication and productivity, necessitating robust governance to ensure its usage remains compliant, ethical, and responsible across the workplace.
This instructor-led training, available either online or on-site, targets beginner to intermediate-level professionals who aim to develop, implement, or manage governance frameworks and responsible-use policies for Qwen Chat within their organizations.
Upon finishing this course, participants will be equipped to:
- Establish core governance practices for adopting Qwen Chat.
- Formulate responsible-use guidelines that align with data privacy standards.
- Create safe and compliant frameworks for prompt usage.
- Deploy monitoring systems, audit trails, and enforcement protocols.
Course Format
- Instructor-led discussions enriched with real-world case studies.
- Policy-building exercises and collaborative workshops.
- Practical application through governance scenarios in a live-lab environment.
Customization Options
- Training content can be tailored to meet your organization’s specific compliance, governance, and operational needs.
Qwen Chat for Market Research, Competitive Analysis & Business Intelligence
14 HoursQwen Chat is an AI-powered analysis and drafting tool designed to assist teams in extracting key insights, summarizing complex materials, and accelerating business intelligence workflows.
This instructor-led live training (available online or onsite) is tailored for intermediate-level professionals looking to enhance their market research, competitive analysis, and strategic reporting capabilities using Qwen Chat.
Upon completion of this training, participants will be equipped to:
- Efficiently summarize industry reports and large documents.
- Generate clear, structured competitive comparisons.
- Create business briefs, SWOT analyses, and insight summaries.
- Develop prompt workflows that accelerate intelligence gathering.
Course Format
- Practical demonstrations supported by guided explanation.
- Scenario-based exercises focused on real market analysis tasks.
- Hands-on activities using a live-lab environment.
Course Customization Options
- Training can be adapted to align with your organization’s market research and competitive intelligence workflows.
Qwen for Natural Language Processing: Applications and Integration
14 HoursThis instructor-led, live training in the UAE (online or onsite) is aimed at advanced-level NLP specialists, data scientists, and AI researchers who wish to integrate Qwen into their NLP workflows.
By the end of this training, participants will be able to:
- Understand the architecture and features of Qwen.
- Utilize Qwen for advanced NLP tasks, including text generation, analysis, and transformation.
- Integrate Qwen into AI applications for processing natural language data.
- Optimize NLP workflows using Qwen APIs and libraries.
- Evaluate and fine-tune Qwen models for specific tasks.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for transforming natural language into SQL queries, constructing bespoke applications, and embedding visualizations within internal platforms.
This instructor-led live training (available online or onsite) targets intermediate-level engineers seeking to leverage the WrenAI API for practical use cases, such as SQL generation, data visualization, and application integration.
Upon completing this training, participants will be equipped to:
- Authenticate and link applications to the WrenAI API.
- Derive SQL queries from natural language prompts.
- Generate and embed charts utilizing API endpoints.
- Integrate WrenAI into backend infrastructure and internal tools.
Course Format
- Interactive lectures and discussions.
- Practical exercises involving API calls and integrations.
- Real-world projects connecting applications, charts, and data pipelines.
Customization Options
- For tailored training on this course, please reach out to us to make arrangements.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud is a contemporary platform designed for linking data sources, modeling data, and creating interactive dashboards.
This instructor-led, live training (available online or onsite) targets beginner to intermediate-level data professionals eager to master the setup of WrenAI Cloud, model data, and visualize insights within dashboards.
Upon completion of this training, participants will be able to:
- Set up and configure WrenAI Cloud environments.
- Connect WrenAI Cloud to various data sources.
- Model data and define relationships for analytics.
- Create interactive dashboards for business insights.
Format of the Course
- Interactive lecture and discussion.
- Hands-on cloud platform configuration and data modeling.
- Practical exercises in dashboard building and visualization.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model KPIs, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics in WrenAI.
- Build dashboards aligned with regulatory and audit requirements.
- Integrate WrenAI with finance data sources for real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises with financial data models.
- Practical labs on dashboard design and compliance reporting.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.