Building AI Agents on Alibaba Cloud Training Course
The "Developing AI Agents on Alibaba Cloud" course offers practical guidance on designing, testing, and deploying intelligent agents utilizing Alibaba Cloud infrastructure.
This instructor-led live training, available either online or onsite, is tailored for beginner to intermediate-level developers and cloud professionals seeking to leverage Alibaba Cloud to construct AI agents capable of reasoning, information retrieval, tool utilization, and supporting complex business workflows.
Upon completion of this training, participants will be equipped to:
- Grasp the fundamental components of an AI agent within the Alibaba Cloud ecosystem.
- Design prompts, workflows, and tool integrations for real-world agent applications.
- Construct a retrieval-based agent utilizing enterprise-grade content.
- Safely deploy and monitor AI agents on Alibaba Cloud.
Course Format
- Engaging lectures coupled with interactive discussions.
- Extensive exercises and practical practice sessions.
- Hands-on implementation in a live-lab environment.
Customization Options
- To arrange customized training for this course, please contact us directly.
Course Outline
AI Agent Fundamentals and Alibaba Cloud Services
- Defining AI agents and distinguishing them from standard chat applications.
- Exploring common enterprise use cases, including customer support, knowledge assistance, and task automation.
- Identifying 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
- Setting up the Alibaba Cloud account, workspace, and access credentials.
- Familiarizing with the console, APIs, and basic development configuration.
- Accessing foundation models via Model Studio or related services.
- Executing the first model call and validating the response flow.
Building a Simple Agent Workflow
- Defining the agent's role, task boundaries, and expected outputs.
- Crafting clear prompts and instructions for reliable behavior.
- Managing user input, response formatting, and basic conversation flow.
- Testing and refining the agent using 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 invoke external tools, APIs, or lightweight cloud functions.
- Constructing 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.
- Hands-on experience with cloud consoles and command-line interfaces.
- Basic proficiency in Python programming.
Audience
- Developers aiming to create AI-driven applications on Alibaba Cloud.
- Cloud engineers and solution architects investigating 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
Provisional Upcoming Courses (Require 5+ participants)
Related Courses
Building Intelligent Agents with Quark
14 HoursThis instructor-led, live training in Vietnam (online or onsite) targets intermediate-level AI engineers and software developers who wish to construct intelligent agents using Quark for tasks such as process automation, dynamic decision-making, and workflow optimization.
By the end of this training, participants will be able to:
- Comprehend the architecture and capabilities of Quark.
- Design and implement intelligent agents using Quark for automation purposes.
- Integrate Quark with existing systems for data processing and decision-making.
- Create real-time decision-making workflows utilizing Quark.
Customizing and Deploying Qwen for Enterprise Applications
14 HoursThis guided, live training in Vietnam (online or onsite) is designed for experienced AI developers and enterprise architects who want to tailor and implement Qwen for diverse business applications.
By the end of this training, participants will be able to:
- Tailor Qwen to meet specific organizational needs.
- Deploy Qwen in a cloud or on-premises 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 connect data, model insights, and generate dashboards. In enterprise environments, strong governance and security are essential to ensure safe and compliant adoption.
This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals seeking to implement governance, compliance, and security patterns for WrenAI at scale.
Upon completion 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 transition from static dashboards to conversational analytics and embedded generative BI. Achieving this shift demands thoughtful adoption strategies, seamless asset migration, and robust change management practices.
This instructor-led 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 equipped to:
- Assess current legacy BI environments and pinpoint opportunities for modernization.
- Develop and implement plans to migrate from static dashboards to WrenAI.
- Implement conversational analytics and leverage embedded GenBI functionalities.
- Drive organizational change management efforts during the BI modernization process.
Course Format
- Engaging lectures and interactive discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs dedicated to conversational analytics and embedded GenBI.
Customization Options
- For a customized training solution tailored to your specific needs, please reach out to us to arrange.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access to make it faster and more intuitive. For enterprise environments, maintaining high standards of quality assurance and observability is critical to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led training session, available both online and on-site, is designed for advanced data and analytics professionals who aim to assess query precision, implement prompt tuning strategies, and establish robust observability practices for monitoring WrenAI in production environments.
Upon completion of this course, participants will be equipped to:
- Assess the accuracy and reliability of natural language to SQL conversions.
- Utilize prompt tuning methods to enhance system performance.
- Track data drift and analyze query behavior over time.
- Configure WrenAI with logging and observability frameworks for effective monitoring.
Training Format
- Interactive lectures accompanied by group discussions.
- Practical exercises focusing on evaluation metrics and tuning techniques.
- Hands-on labs dedicated to observability and monitoring integrations.
Customization Options
- For tailored training solutions, please reach out to us to arrange your specific requirements.
Quark for Automated Customer Service and Support
7 HoursThis instructor-led, live training in Vietnam (online or onsite) is designed for mid-level customer service managers and automation specialists who aim to utilize Quark for automating support operations and enhancing 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 program, participants will be able to:
- Utilize Qwen Chat to create clear and effective written content.
- Condense documents and extract essential information to support decision-making.
- Optimize meeting preparation and internal communication processes.
- Apply AI tools to aid research, data organization, and routine administrative duties.
Course Format
- Explanations from the instructor paired with interactive demonstrations.
- Scenario-based practice exercises tailored to real-world office scenarios.
- Practical application through guided AI workflows.
Customization Options
- We offer customized agendas to align with your organization's specific workflows upon request.
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 want to streamline documentation efforts, improve content accuracy, and enhance knowledge management processes using AI.
Upon completing this training, participants will be equipped 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.
- Leverage AI to support content updates, versioning, and governance.
Course Format
- Instructor-led demonstrations with interactive discussion.
- Hands-on exercises using real documentation scenarios.
- Practical activities focused on managing internal knowledge assets.
Course Customization Options
- Tailored versions of this training can be arranged to align with 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, elevate response quality, and support scalable customer service operations.
This instructor-led, live training (available online or onsite) targets intermediate-level professionals aiming to use Qwen Chat to streamline support tasks, improve 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 AI-powered communication and productivity solution that demands rigorous governance to guarantee ethical, compliant, and responsible deployment throughout the workplace.
This instructor-led live training (available online or onsite) targets beginner to intermediate professionals seeking to create, execute, or supervise governance frameworks and responsible-use policies for Qwen Chat within their organizations.
After completing this training, participants will be able to:
- Foundational governance practices for adopting Qwen Chat.
- Formulate responsible-use guidelines that align with data privacy mandates.
- Develop 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.
- Collaborative workshops and policy-building exercises.
- Practical application of governance scenarios in a live-lab environment.
Customization Options
- The training can be tailored to meet your organization’s specific operational, governance, and compliance needs.
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 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.
Format of the Course
- 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 Vietnam (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 converting natural language into SQL queries, constructing tailored applications, and incorporating charts directly into internal platforms.
This instructor-led, live training session (available online or onsite) is designed for intermediate-level engineers seeking to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.
Upon completion of 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 specific API endpoints.
- Integrate WrenAI capabilities 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 request a tailored training session for this course, please contact us to arrange it.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud is a contemporary platform designed for linking data sources, structuring data models, and constructing interactive dashboards.
This instructor-led, live training (available online or on-site) targets beginner to intermediate-level data professionals looking to master the setup of WrenAI Cloud, data modeling techniques, and dashboard-based visualization of insights.
Upon completion of this training, participants will be able to:
- Establish and configure WrenAI Cloud environments.
- Link WrenAI Cloud to diverse data sources.
- Model data and define analytical relationships.
- Develop interactive dashboards for business intelligence.
Course Format
- Interactive lectures and discussions.
- Practical experience with cloud platform configuration and data modeling.
- Hands-on exercises in dashboard creation and visualization.
Customization Options
- To arrange a customized training session for this course, please contact us.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model Key Performance Indicators (KPIs), standardize metrics, and create dashboards that adhere to regulatory requirements and audit standards.
This instructor-led live training, available online or onsite, targets intermediate to advanced finance professionals seeking to leverage WrenAI for building compliant financial data models and dashboards that enhance decision-making and risk management capabilities.
Upon completion of this training, participants will be equipped to:
- Model financial KPIs and metrics using WrenAI.
- Develop dashboards that meet regulatory and audit standards.
- Integrate WrenAI with finance data sources for real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises involving financial data models.
- Practical labs focused on dashboard design and compliance reporting.
Course Customization Options
- To arrange customized training for this course, please contact us directly.