Getting Started with Alibaba's AI Ecosystem Training Course

This instructor-led, live training in Kenya (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 Kenya (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 Kenya (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 Kenya (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-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.

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 is an AI-driven assistant designed to help organizations create, organize, and maintain high-quality internal content and knowledge assets.

This instructor-led, live training (online or onsite) is aimed at 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 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 is an AI-driven 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 is an AI-driven 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.

This instructor-led, live training in Kenya (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.