Getting Started with Alibaba's AI Ecosystem Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level cloud engineers, AI developers, and data scientists who wish to implement AI solutions using Alibaba Cloud AI Services.

By the end of this training, participants will be able to:

• Understand the core components of Alibaba Cloud AI Services.
• Integrate AI services into cloud applications using Alibaba Cloud SDKs.
• Implement computer vision and NLP solutions using Alibaba Cloud APIs.
• Monitor and optimize AI-driven applications on the Alibaba Cloud platform.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at 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.

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.

This instructor-led, live training in Uzbekistan (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.

This instructor-led, live training in Uzbekistan (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 is an AI-driven assistant designed to simplify daily business tasks by helping users summarize content, generate communications, and organize information efficiently.

This instructor-led, live training (available online or on-site) is aimed at beginners who want to boost their productivity through practical, non-technical AI assistance in everyday office workflows.

By the end of the program, participants will be able to:

• Use Qwen Chat to produce clear and effective written content.
• Summarize documents and extract key information for decision-making.
• Streamline meeting preparation and internal communications.
• Utilize AI to support research, data organization, and routine administrative tasks.

Format of the Course

• Instructor-led explanations combined with interactive demonstrations.
• Practice exercises based on real office scenarios.
• Hands-on application with guided AI workflows.

Course Customization Options

• For training tailored to your organization’s specific workflows, we can customize the agenda to meet your needs.

Qwen 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 both online and onsite) is targeted at intermediate-level professionals who aim to streamline documentation processes, enhance content accuracy, and improve knowledge management using artificial intelligence.

Upon completing this training, participants will be equipped to:

• Clean and structure internal documentation for clarity and consistency.
• Generate and refine policies, standard operating procedures (SOPs), and guidelines.
• Create accurate frequently asked questions (FAQs) and knowledge base articles for internal use.
• Utilize AI to support content updates, versioning, and governance.

Format of the Course

• Instructor-led demonstrations with interactive discussions.
• Hands-on exercises using real-world 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 is a versatile AI-powered assistant designed to enhance communication, improve response quality, and support scalable customer service operations.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals who want to use Qwen Chat to streamline support tasks, enhance client interactions, and ensure consistent communication across teams.

Upon completing this training, participants will acquire the skills to:

• Create effective AI-assisted support responses.
• Develop reusable templates for common inquiries.
• Apply prompt strategies for accurate and reliable outputs.
• Utilize Qwen Chat to improve follow-up, escalation, and documentation workflows.

Format of the Course

• Guided demonstrations with practical examples.
• Hands-on exercises based on real support scenarios.
• Interactive practice sessions in a live-lab environment.

Course Customization Options

• Custom adaptations can be arranged to align with your organization’s support workflows and communication standards.

Qwen Chat is an AI-driven communication and productivity tool that necessitates careful governance to ensure its usage is compliant, ethical, and responsible across the workplace.

This instructor-led, live training (available online or onsite) is designed for professionals at beginner to intermediate levels who aim to develop, implement, or oversee responsible-use policies and governance frameworks for Qwen Chat within their organizations.

Upon completing this training, participants will be able to:

• Establish foundational governance practices for the adoption of Qwen Chat.
• Define responsible-use guidelines that align with data privacy requirements.
• Design safe and compliant frameworks for prompt usage.
• Implement monitoring, audit trails, and enforcement mechanisms.

Format of the Course

• Instructor-led discussions supported by real-world case examples.
• Exercises for building policies and collaborative workshops.
• Hands-on practice with governance scenarios in a live-lab environment.

Course Customization Options

• The training can be customized to address your organization’s specific compliance, governance, and operational needs.

Qwen Chat is an AI-powered tool designed to assist teams in extracting insights, summarizing complex information, and accelerating business intelligence processes.

This instructor-led, live training (available both online and on-site) is targeted at intermediate-level professionals who want to enhance their market research, competitive analysis, and strategic reporting using Qwen Chat.

Upon completing this training, participants will be able to:

• Efficiently summarize industry reports and large documents.
• Generate clear and structured competitive comparisons.
• Create business briefs, SWOT analyses, and insightful summaries.
• Develop prompt workflows to speed up intelligence gathering.

Format of the Course

• Practical demonstrations accompanied by guided explanations.
• Scenario-based exercises focused on real-world market analysis tasks.
• Hands-on activities using a live-lab environment.

Course Customization Options

• The training can be tailored to align with your organization’s specific market research and competitive intelligence workflows.

This instructor-led, live training in Uzbekistan (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.