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 utilizing Alibaba Cloud services.
This instructor-led, live training (available online or onsite) is designed for developers and cloud practitioners at beginner to intermediate levels who aim 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:
- Comprehend the fundamental building blocks of an AI agent on Alibaba Cloud.
- Develop prompts, workflows, and tool integrations for practical agent tasks.
- Construct a simple retrieval-based agent using enterprise content.
- Deploy and monitor an AI agent securely within the Alibaba Cloud environment.
Course Format
- Interactive lectures and discussions.
- Numerous 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?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Building AI Agents on Alibaba Cloud Training Course - Enquiry
Related Courses
Building Intelligent Agents with Quark
14 HoursThis instructor-led live training in Botswana (online or onsite) targets intermediate-level AI engineers and software developers who wish to build intelligent agents using Quark for tasks such as process automation, dynamic decision-making, and workflow optimization.
Upon completing this training, participants will be able to:
- Comprehend 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 Botswana (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 analytics platform powered by artificial intelligence, designed to link data, model insights, and generate dashboards. In enterprise settings, robust governance and security are vital to ensure safe and compliant adoption.
This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals who wish to implement governance, compliance, and security patterns for WrenAI at scale.
Upon completing 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 organisations to transcend static dashboards by embracing conversational analytics and embedded generative BI. Successfully navigating this shift demands strategic adoption planning, seamless asset migration, and robust change management practices.
This instructor-led live training, available both online and onsite, is tailored for intermediate-level BI and data platform professionals seeking to modernise their legacy BI systems using WrenAI.
Upon completion of this training, participants will be equipped to:
- Assess legacy BI environments and pinpoint opportunities for modernisation.
- Plan and implement migrations from static dashboards to WrenAI.
- Embrace conversational analytics and embedded GenBI functionalities.
- Drive organisational change management initiatives for BI modernisation.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Customisation Options
- For bespoke 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 and provides AI-driven analytics, enhancing the speed and intuitiveness of data access. For enterprise applications, maintaining high standards of quality assurance and observability is crucial to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led training session, available online or on-site, targets advanced data and analytics professionals seeking to assess query accuracy, utilise prompt tuning techniques, and deploy observability measures to monitor WrenAI within live production environments.
Upon completing this training, participants will be equipped to:
- Assess the precision and dependability of natural language to SQL outputs.
- Implement prompt tuning strategies to enhance system performance.
- Track data drift and analyse query behaviour over time.
- Equip WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and group discussions.
- Practical exercises focusing on evaluation and tuning techniques.
- Hands-on labs covering observability and monitoring integrations.
Customisation Options
- For tailored training solutions, please contact us to make arrangements.
Quark for Automated Customer Service and Support
7 HoursThis instructor-led, live training in Botswana (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-driven 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 designed to assist organisations in creating, structuring, and maintaining high-quality internal content and knowledge assets.
This instructor-led live training, available either online or onsite, targets intermediate-level professionals seeking to streamline documentation efforts, improve content accuracy, and enhance knowledge management processes through the use of 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, standard operating procedures (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 complemented by interactive discussion.
- Hands-on exercises based on real-world documentation scenarios.
- Practical activities focused on managing internal knowledge assets.
Course Customization Options
- Customized versions of this training can be arranged to align with your organisation’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 serves as an AI-powered communication and productivity solution that demands robust governance to guarantee compliant, ethical, and responsible adoption within the workplace environment.
This instructor-led, live training (available online or onsite) targets beginner to intermediate professionals who aim to develop, implement, or oversee responsible-use policies and governance frameworks for Qwen Chat within their organisations.
Upon completion of this course, participants will acquire the capability to:
- Establish foundational governance practices for Qwen Chat adoption.
- Define responsible-use guidelines that align with data privacy mandates.
- Design secure and compliant frameworks for prompt usage.
- Implement monitoring systems, audit trails, and enforcement mechanisms.
Course Format
- Instructor-led discussions underpinned by real-world case studies.
- Policy-development exercises and collaborative workshops.
- Practical application of governance scenarios in a live-lab environment.
Customization Options
- Training can be tailored to meet your organisation’s specific 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 assist teams in extracting valuable insights, condensing complex materials, and streamlining business intelligence workflows.
This instructor-led live training (available online or onsite) targets intermediate-level professionals aiming to enhance their market research, competitive analysis, and strategic reporting capabilities using Qwen Chat.
Upon completing this training, participants will be equipped to:
- Efficiently summarize industry reports and lengthy documents.
- Produce clear, structured competitive comparisons.
- Develop business briefs, SWOT analyses, and insight summaries.
- Create prompt workflows that expedite intelligence gathering.
Course Format
- Practical demonstrations accompanied by guided explanations.
- Scenario-based exercises focusing on real-world market analysis tasks.
- Hands-on activities conducted within a live-lab environment.
Course Customization Options
- Training can be tailored to align with your organization’s specific market research and competitive intelligence workflows.
Qwen for Natural Language Processing: Applications and Integration
14 HoursThis instructor-led, live training in Botswana (online or onsite) targets 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 requests into SQL queries, constructing bespoke applications, and embedding visual charts into internal platforms.
This instructor-led live training, available online or on-site, targets intermediate-level engineers looking to leverage the WrenAI API for practical implementation, encompassing SQL generation, data visualisation, 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.
- Practical exercises involving API calls and integrations.
- Hands-on projects connecting applications, charts, and data pipelines.
Customisation Options
- To arrange a customised training session for this course, please contact us.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud serves as a contemporary platform designed for linking data sources, structuring data models, and constructing interactive dashboards.
This instructor-led, live training session, available either online or on-site, is tailored for data professionals at a beginner to intermediate level who wish to master the setup of WrenAI Cloud, data modelling techniques, and the visualisation of insights through dashboards.
Upon completion of this training, participants will be capable of:
- Setting up and configuring WrenAI Cloud environments.
- Connecting WrenAI Cloud to various data sources.
- Modelling data and defining relationships for analytical purposes.
- Creating interactive dashboards to derive business insights.
Course Format
- Interactive lectures and discussions.
- Practical hands-on experience with cloud platform configuration and data modelling.
- Practical exercises focused on dashboard construction and visualisation.
Customisation Options for the Course
- To request bespoke training for this course, please contact us to make arrangements.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model Key Performance Indicators (KPIs), integrate standardised metrics, and design dashboards that adhere to regulatory requirements and audit standards.
This instructor-led live training, available either online or on-site, is designed for intermediate to advanced finance professionals who wish to leverage WrenAI to build compliant financial data models and dashboards that support informed decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics using WrenAI.
- Construct dashboards that align with regulatory and audit requirements.
- Integrate WrenAI with finance data sources to enable real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Format of the Course
- Interactive lectures and discussions.
- Hands-on exercises involving financial data models.
- Practical labs focused on dashboard design and compliance reporting.
Course Customisation Options
- To request customised training for this course, please contact us to make arrangements.