Building AI Agents on Alibaba Cloud Training Course
The course on Developing AI Agents on Alibaba Cloud provides practical guidance for creating, testing, and deploying AI agents using Alibaba Cloud services.
This instructor-led, live training (available online or on-site) targets beginner to intermediate-level 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 fundamental components of an AI agent on Alibaba Cloud.
- Develop 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
- Fundamental understanding of cloud computing concepts and web APIs
- Experience navigating cloud consoles and using command-line tools
- Basic Python programming experience
Audience
- Developers looking 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.
Building AI Agents on Alibaba Cloud Training Course - Booking
Building AI Agents on Alibaba Cloud Training Course - Enquiry
Building AI Agents on Alibaba Cloud - Consultancy Enquiry
Upcoming Courses
Related Courses
Building Intelligent Agents with Quark
14 HoursThis live, instructor-led training in Romania (online or in-person) is intended for AI engineers and software developers with intermediate skills who want to build smart 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 features of Quark.
- Design and create smart agents using Quark for automation tasks.
- Connect Quark with existing systems for data processing and decision-making.
- Create real-time decision-making workflows using Quark.
Customizing and Deploying Qwen for Enterprise Applications
14 HoursThis instructor-led, live training in Romania (online or onsite) is aimed at advanced-level AI developers and enterprise architects who wish to customize and deploy Qwen for various enterprise applications.
By the end of this training, participants will be able to:
- Customize Qwen to meet specific enterprise needs.
- Deploy Qwen in a cloud or on-premise environment.
- 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 built to link data, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential for ensuring safe and compliant adoption.
This instructor-led, live training (available online or on-site) is designed for advanced-level enterprise professionals who want to implement governance, compliance, and security patterns for WrenAI at scale.
By the end of this training, participants will be able to:
- Design and implement permissioning models in WrenAI.
- Apply auditability and monitoring practices for compliance.
- Set up secure environments with enterprise-level controls.
- Roll out WrenAI safely across large organizations.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with governance and security configurations.
- Practical exercises simulating enterprise rollout scenarios.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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. Successfully navigating this transformation demands strategic adoption planning, thorough 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 seeking to modernize their legacy BI systems using WrenAI.
Upon completion of this training, participants will be able to:
- Assess legacy BI environments and pinpoint modernization opportunities.
- Develop and implement migration strategies from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI functionalities.
- Drive organizational change management efforts during BI modernization.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises focused on migration and adoption planning.
- Practical labs covering conversational analytics and embedded GenBI.
Course Customization Options
- For customized training requests, please contact us to arrange a session.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL and empowers AI-driven analytics, making data access faster and more intuitive. For enterprise-grade applications, rigorous quality assurance and observability practices are critical to ensuring accuracy, reliability, and regulatory compliance.
This instructor-led live training, available online or on-site, targets advanced data and analytics professionals seeking to evaluate query precision, apply prompt tuning strategies, and implement observability practices to monitor 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.
- Utilize prompt tuning techniques to enhance performance.
- Track query behavior and detect drift over time.
- Integrate WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on evaluation and tuning methodologies.
- Hands-on labs covering observability and monitoring integrations.
Customization Options
- To request a tailored version of this course, please contact us to arrange it.
Quark for Automated Customer Service and Support
7 HoursThis instructor-led, live training in Romania (online or onsite) is tailored for customer service managers and automation specialists at the intermediate level who aim to leverage Quark to automate customer support operations and boost efficiency.
By the end of this training, participants will be able to:
- Grasp 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.
By the end of this course, participants will be able to:
- Utilize Qwen Chat to produce clear and impactful written content.
- Condense documents and extract essential details to support decision-making processes.
- Optimize meeting preparation and internal correspondence.
- Employ AI tools to assist with research, data structuring, and routine administrative duties.
Training Format
- Expert instruction paired with interactive live demonstrations.
- Practical exercises based on real-world office scenarios.
- Guided, hands-on practice with AI-driven workflows.
Customization Possibilities
- We offer agenda customization to align the training specifically with your organization’s unique operational needs.
Qwen Chat for Content & Knowledge Management
14 HoursQwen Chat is an AI-powered assistant designed to help organizations create, organize, and maintain high-quality internal content and knowledge assets.
This instructor-led live training (available online or onsite) targets intermediate-level professionals who wish to streamline documentation efforts, improve content accuracy, and enhance knowledge management processes using AI.
After completing this training, participants will be ready to:
- Clean and structure internal documentation for clarity and consistency.
- Generate and refine policies, SOPs, and guidelines.
- Create accurate FAQs and knowledge base articles for internal use.
- Use 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 flexible, AI-driven assistant designed to enhance communication quality, improve response accuracy, and support scalable customer service operations.
This instructor-led live training, available online or onsite, targets intermediate-level professionals who aim to use Qwen Chat to streamline support tasks, enrich client interactions, and ensure consistent communication across teams.
By the end of this training, participants will be able to:
- Craft effective, AI-assisted support responses.
- Develop reusable templates for frequently asked questions.
- Apply prompt engineering techniques to achieve accurate and reliable outputs.
- Utilize Qwen Chat to optimize follow-up, escalation, and documentation workflows.
Course Format
- Guided demonstrations featuring practical examples.
- Hands-on exercises based on real-world support scenarios.
- Interactive practice sessions conducted in a live-lab environment.
Customization Options
- Custom adaptations can be arranged to align with your organization’s specific support workflows and communication standards.
Qwen Chat Governance & Responsible Use in the Workplace
14 HoursQwen Chat is an AI-powered tool designed to enhance communication and productivity, necessitating robust governance to ensure its usage remains ethical, compliant, and responsible within the organization.
This guided, live training session—available either online or on-site—is designed for professionals at beginner to intermediate levels who aim to create, execute, or supervise governance frameworks and responsible-use policies for Qwen Chat in their enterprises.
Upon finishing this training, participants will be equipped to:
- Set up core governance standards for adopting Qwen Chat.
- Establish responsible-use directives that align with data privacy mandates.
- Create secure and compliant frameworks for prompt engineering.
- Deploy monitoring systems, audit trails, and enforcement protocols.
Course Format
- Guided discussions enriched with practical, real-world case studies.
- Policy drafting exercises and interactive workshops.
- Practical application of governance scenarios in a live lab environment.
Customization Options
- The training can be customized to meet your specific organizational needs regarding compliance, governance, and operations.
Qwen Chat for Market Research, Competitive Analysis & Business Intelligence
14 HoursQwen Chat is an AI-powered analysis and drafting tool designed to help teams extract valuable insights, summarize complex materials, and accelerate business intelligence workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to enhance market research, competitive analysis, and strategic reporting using Qwen Chat.
Upon completion of this training, participants will be prepared to:
- Summarize industry reports and large documents efficiently.
- 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.
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 live training, conducted by an instructor either online or in person at Romania, targets advanced NLP specialists, data scientists, and AI researchers looking to incorporate Qwen into their NLP processes.
Upon completion of this training, participants will be able to:
- Grasp the architecture and features of Qwen.
- Apply Qwen to advanced NLP tasks, such as text generation, analysis, and transformation.
- Embed Qwen into AI applications for processing natural language data.
- Enhance NLP workflows using Qwen APIs and libraries.
- Assess and fine-tune Qwen models for particular tasks.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for converting natural language into SQL queries, constructing custom applications, and embedding charts within internal platforms.
This instructor-led, live training, available online or onsite, is designed for intermediate-level engineers looking 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 able to:
- Authenticate and link applications to the WrenAI API.
- Generate SQL queries from natural language inputs.
- Create and embed charts using API endpoints.
- Integrate WrenAI into backend systems 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
- To arrange customized training for this course, please contact us.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud is a contemporary platform designed for linking data sources, modeling data, and constructing interactive dashboards.
This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals seeking to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.
By the end of this training, participants will be able to:
- Set up and configure WrenAI Cloud environments.
- Connect WrenAI Cloud to multiple 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 key performance indicators (KPIs), integrate standardized metrics, and design dashboards that comply with regulatory requirements and audit standards.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced finance professionals who aim to leverage WrenAI to build compliant financial data models and dashboards that support decision-making and risk management.
Upon completing this training, participants will be able to:
- Model financial KPIs and metrics within WrenAI.
- Construct 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 customized training for this course, please contact us to arrange it.