Building AI Agents on Alibaba Cloud Training Course
Constructing AI Agents on Alibaba Cloud is a hands-on course designed to teach participants how to create, test, and deploy AI agents utilizing Alibaba Cloud services.
This instructor-led, live training (available online or onsite) targets beginner to intermediate developers and cloud professionals aiming to leverage Alibaba Cloud for building 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.
- Design prompts, workflows, and tool integrations for practical agent applications.
- Develop a simple retrieval-based agent using enterprise content.
- Securely deploy and monitor an AI agent on Alibaba Cloud.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation within a live laboratory 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
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 1600 € + 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)
Need help picking the right course?
opleidingen@nobleprog.com or +31 208 080 666
Building AI Agents on Alibaba Cloud Training Course - Enquiry
Building AI Agents on Alibaba Cloud - Consultancy Enquiry
Provisional Upcoming Courses (Contact Us For More Information)
Related Courses
Building Intelligent Agents with Quark
14 HoursThis guided, live training in the Netherlands (online or in person) is aimed at mid-level AI engineers and developers who want to build smart 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:
- Grasp how Quark works and what it can do.
- Create and build smart agents with Quark for automation.
- Connect Quark with current systems to handle data and decisions.
- Build real-time decision workflows using Quark.
Customizing and Deploying Qwen for Enterprise Applications
14 HoursThis instructor-led, live training in the Netherlands (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 that facilitates data connectivity, insight modelling, and dashboard generation. For enterprise settings, establishing strong governance and security measures is essential to guarantee safe and compliant implementation.
This instructor-led live training, available either online or onsite, targets advanced-level enterprise professionals looking to deploy scalable governance, compliance, and security patterns for WrenAI.
Upon completion of this training, participants will be capable of:
- Designing and implementing permissioning models within WrenAI.
- Applying practices for auditability and monitoring to ensure compliance.
- Establishing secure environments equipped with enterprise-level controls.
- Safely rolling out WrenAI across large organisations.
Course Format
- Interactive lectures and discussions.
- Practical labs focusing on governance and security configurations.
- Real-world exercises simulating enterprise rollout scenarios.
Customization Options
- To arrange tailored training for this course, please get in touch with us.
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. This shift demands meticulous adoption planning, asset migration, and robust change management strategies.
This instructor-led live training (available online or onsite) targets intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.
Upon completion of this training, participants will be capable of:
- Assessing legacy BI environments and pinpointing modernization opportunities.
- Planning and executing migrations from static dashboards to WrenAI.
- Embracing conversational analytics and embedded GenBI functionalities.
- Driving organizational change management 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.
Customization Options for the Course
- For customized training arrangements, please contact us.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL queries and supports AI-powered analytics, streamlining data access to make it quicker and more intuitive. For enterprise-grade applications, implementing rigorous quality assurance and observability practices is critical to guaranteeing accuracy, reliability, and regulatory compliance.
This instructor-led, live training—available either online or onsite—is designed for advanced data and analytics professionals seeking to assess query accuracy, implement prompt tuning, and establish observability protocols for monitoring WrenAI in live 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 system performance.
- Track data drift and query patterns over time.
- Integrate WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and group discussions.
- Practical exercises focused on evaluation and tuning methodologies.
- Hands-on labs covering observability and monitoring integrations.
Course Customization Options
- To request a tailored training session for this course, please get in touch with us to arrange the details.
Quark for Automated Customer Service and Support
7 HoursThis instructor-led, live training in the Netherlands (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.
Upon completion of the programme, participants will be able 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 designed to assist organizations in creating, organizing, and maintaining high-quality internal content and knowledge assets.
This instructor-led live training (available online or onsite) targets intermediate-level professionals seeking to streamline documentation efforts, enhance content accuracy, and improve knowledge management processes using AI.
Upon completion of 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.
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
- 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 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 AI-powered communication and productivity tool that requires careful governance to ensure compliant, ethical, and responsible usage across the workplace.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to develop, implement, or oversee responsible-use policies and governance frameworks for Qwen Chat within their organizations.
Upon completion of this training, participants will gain the ability to:
- Establish foundational governance practices for Qwen Chat adoption.
- Define responsible-use guidelines aligned with data privacy requirements.
- Design safe and compliant prompt usage frameworks.
- Implement monitoring, audit trails, and enforcement mechanisms.
Format of the Course
- Instructor-led discussions supported by real-world case examples.
- Policy-building exercises and collaborative workshops.
- Hands-on practice with governance scenarios in a live-lab setting.
Course Customization Options
- Training can be tailored to address your organization’s compliance, governance, and operational requirements.
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 the Netherlands (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, developing bespoke applications, and embedding visualizations 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, including SQL generation, data visualization, and application integration.
Upon completion of this training, participants will be capable of:
- Authenticating and linking applications to the WrenAI API.
- Generating SQL queries from natural language inputs.
- Creating and embedding charts via API endpoints.
- Integrating WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises involving API calls and integrations.
- Practical projects that connect applications, charts, and data pipelines.
Customization Options
- To request tailored training 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, 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 within dashboards.
Upon completing 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 to derive business insights.
Format of the Course
- Interactive lectures and discussions.
- Hands-on practice with cloud platform configuration and data modeling.
- Practical exercises focused on dashboard building and visualization.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI equips finance teams with the capabilities to model KPIs, integrate standardized metrics, and create dashboards that comply with regulatory requirements and audit standards.
This instructor-led, live training (available online or onsite) targets intermediate to advanced finance professionals who want to leverage WrenAI to build compliant financial data models and dashboards that enhance decision-making and risk management.
Upon completing this training, participants will be able to:
- Model financial KPIs and metrics in WrenAI.
- Develop 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.