Getting Started with Alibaba's AI Ecosystem Training Course

This instructor-led, live training in Latvia (online or onsite) is intended for beginner to intermediate developers and cloud practitioners aiming to use Alibaba Cloud to build AI agents that can automate tasks, answer inquiries, and integrate with business systems.

By the conclusion of this training, participants will be able to: comprehend AI agent architecture on Alibaba Cloud, construct a basic agent workflow, connect an agent to enterprise knowledge and tools, and deploy and monitor an agent within a cloud environment.

This live, instructor-led session (delivered online or onsite) is designed for intermediate-level cloud engineers, AI developers, and data scientists seeking to implement AI solutions using Alibaba Cloud AI Services.

By the end of this training, participants will be capable of:

• Understanding the core components of Alibaba Cloud AI Services.
• Integrating AI services into cloud applications using Alibaba Cloud SDKs.
• Implementing computer vision and NLP solutions using Alibaba Cloud APIs.
• Monitoring and optimizing AI-driven applications on the Alibaba Cloud platform.

This instructor-led, live training in Latvia (delivered online or onsite) targets developers, architects, and technical professionals seeking to use Alibaba Cloud for the creation, testing, and deployment of generative AI applications for business purposes.

By the end of the program, participants will be able to: comprehend Alibaba Cloud's generative AI services, design prompts and workflows using Qwen models, build a simple retrieval-based AI solution, and deploy AI applications with appropriate security and cost management strategies.

This instructor-led, live training in Latvia (online or onsite) is designed for intermediate-level AI engineers and software developers seeking to leverage Quark for building intelligent agents focused on process automation, dynamic decision-making, and workflow optimization.

Upon completing this training, participants will be equipped to:

• Comprehend the architecture and capabilities of Quark.
• Design and build intelligent agents using Quark for automation tasks.
• Integrate Quark with existing systems for data processing and decision-making.
• Construct real-time decision-making workflows with Quark.

This live, instructor-led training in Latvia (online or onsite) is crafted for advanced AI developers and enterprise architects seeking to tailor and implement Qwen for various business applications.

Upon completion, participants will be equipped to:

• Adapt Qwen to satisfy distinct corporate requirements.
• Implement Qwen in cloud-based or on-premise infrastructures.
• Connect Qwen with established enterprise systems and software.
• Track and refine the performance of solutions built on Qwen.

This live, instructor-led training in Latvia (online or onsite) is designed for intermediate-level customer service managers and automation specialists looking to utilize Quark to automate support operations and enhance efficiency.

Upon completion, participants will be able to:

• Comprehend the essential features and functions of Quark.
• Automate customer service workflows using Quark.
• Integrate Quark with current customer support systems.
• Monitor and optimize automated customer interactions.

This 14-hour instructor-led training in Latvia focuses on leveraging Qwen Chat to streamline customer support and enhance communication. Participants will explore prompt engineering, template creation, and workflow integration to elevate response quality and maintain consistency.

This live, instructor-led training in Latvia (online or onsite) is tailored for advanced NLP specialists, data scientists, and AI researchers seeking to incorporate Qwen into their operational workflows.

By the conclusion of the program, participants will be capable of:

• Understanding Qwen’s architectural design and key capabilities.
• Applying Qwen to complex NLP tasks, encompassing text generation, detailed analysis, and content transformation.
• Embedding Qwen into AI solutions for the efficient processing of natural language data.
• Enhancing NLP pipelines through the use of Qwen APIs and specialized libraries.
• Evaluating and fine-tuning Qwen models for targeted task performance.