Advanced Fine-Tuning & Prompt Management in Vertex AI 培训

这种由讲师指导的 中国 现场培训（在线或现场）面向希望掌握尖端迁移学习技术并将其应用于复杂现实问题的高级机器学习专业人员。

在本次培训结束时，参与者将能够：

• 了解迁移学习中的高级概念和方法。
• 为预先训练的模型实施特定于域的适应技术。
• 应用持续学习来管理不断变化的任务和数据集。
• 掌握多任务微调，以提高跨任务的模型性能。

本次由讲师指导的中国（线上或线下）培训，面向中级开发者、数据科学家和技术专业人士，旨在帮助他们利用Google Vertex AI创建和部署自定义AI模型。

培训结束后，参与者将能够：

• 了解Google Vertex AI的功能和特性。
• 设置和配置Google Vertex AI环境。
• 使用Vertex AI开发和训练自定义AI模型。
• 在Google Cloud Platform上部署和管理AI模型。
• 利用Vertex AI的工具监控和优化模型性能。
• 实施AI模型开发和部署的最佳实践。

这种由讲师指导的 中国 现场现场培训（在线或现场）面向希望可靠、高效地部署微调模型的高级专业人员。

在本次培训结束时，参与者将能够：

• 了解将微调模型部署到生产环境中所面临的挑战。
• 使用 Docker 和 Kubernetes 等工具容器化和部署模型。
• 对已部署的模型实施监控和日志记录。
• 在实际场景中优化模型以实现延迟和可扩充性。

这种由讲师指导的 中国 现场培训（在线或现场）面向希望为特定任务和数据集自定义预训练模型的中高级专业人员。

在本次培训结束时，参与者将能够：

• 了解微调的原理及其应用。
• 准备数据集以微调预训练模型。
• 为 NLP 任务微调大型语言模型 （LLM）。
• 优化模型性能并解决常见挑战。

这种由讲师指导的 中国 现场培训（在线或现场）面向希望在不需要大量计算资源的情况下为大型模型实施微调策略的中级开发人员和 AI 从业者。

在本次培训结束时，参与者将能够：

• 了解低秩适应 （LoRA） 的原理。
• 实施LoRA以高效微调大型模型。
• 针对资源受限的环境优化微调。
• 评估和部署LoRA调优模型以用于实际应用。

这种由讲师指导的 中国 现场培训（在线或现场）面向希望掌握创新 AI 解决方案的多模态模型微调的高级专业人员。

在本次培训结束时，参与者将能够：

• 了解 CLIP 和 Flamingo 等多模态模型的架构。
• 有效地准备和预处理多模态数据集。
• 针对特定任务微调多模态模型。
• 针对实际应用程式和性能优化模型。

这种由讲师指导的 中国 现场培训（在线或现场）面向希望通过有效微调预先训练的语言模型来增强其 NLP 专案的中级专业人员。

在本次培训结束时，参与者将能够：

• 了解 NLP 任务微调的基础知识。
• 针对特定的 NLP 应用程式微调预训练模型，例如 GPT、BERT 和 T5。
• 优化超参数以提高模型性能。
• 在实际场景中评估和部署微调的模型。

Vertex AI provides a unified platform for generative media, offering models like Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These capabilities enable production-ready workflows for creative, marketing, and enterprise use cases.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to harness generative AI for multimedia content creation and deployment using Vertex AI.

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

• Generate images, videos, audio, and music using Vertex AI’s suite of models.
• Integrate generative media into marketing and product workflows.
• Optimize prompts and fine-tune outputs for quality and brand consistency.
• Deploy production-ready generative media solutions in enterprise settings.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with Vertex AI generative media models.
• Real-world case studies and creative project labs.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Vertex AI provides powerful tools for building multimodal LLM workflows that integrate text, audio, and image data into a single pipeline. With long context window support and Gemini API parameters, it enables advanced applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level practitioners who wish to design, build, and optimize multimodal AI workflows in Vertex AI.

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

• Leverage Gemini models for multimodal inputs and outputs.
• Implement long-context workflows for complex reasoning.
• Design pipelines that integrate text, audio, and image analysis.
• Optimize Gemini API parameters for performance and cost efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with multimodal workflows.
• Project-based exercises for applied multimodal use cases.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

这种由讲师指导的 中国 现场培训（在线或现场）面向希望利用快速工程和少量学习的力量来优化实际应用的 LLM 性能的中级专业人士。

在本次培训结束时，参与者将能够：

• 了解快速工程和小样本学习的原则。
• 为各种 NLP 任务设计有效的提示。
• 利用小样本技术以最少的数据调整 LLM。
• 针对实际应用优化 LLM 性能。

这种由讲师指导的现场培训<本地>（在线或现场）面向希望了解和应用迁移学习技术来提高 AI 专案的效率和性能的初级到中级机器学习专业人员。

在本次培训结束时，参与者将能够：

• 了解迁移学习的核心概念和优势。
• 探索流行的预训练模型及其应用程式。
• 为自定义任务执行预训练模型的微调。
• 应用迁移学习来解决 NLP 和电脑视觉中的实际问题。

本课程为讲师主导的中国（线上或线下）培训，适合初学者到中级水平的软件工程师，或任何希望学习如何使用Vertex AI完成机器学习活动的人员。

通过本培训，参与者将能够：

• 了解Vertex AI的工作原理，并将其作为机器学习平台使用。
• 学习机器学习和自然语言处理（NLP）的概念。
• 掌握如何使用Vertex AI训练和部署机器学习模型。

Vertex AI Agent Builder is a no-code/low-code environment for creating grounded agents that combine generative models with retrieval-augmented generation (RAG), allowing teams to rapidly build agents that use enterprise data and search to provide accurate, context-aware responses.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design, configure, and deploy smart agents using Vertex AI Agent Builder and RAG patterns.

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

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines with search and vector stores.
• Integrate enterprise data sources securely for retrieval.
• Evaluate and iterate agent behavior using testing and metrics.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using Vertex AI Agent Builder and RAG components.
• Project-based exercises to build and refine agents.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Vertex AI provides streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This enables developers and product teams to deliver AI-powered features at the app level, such as intelligent assistants, multimodal input handling, and personalized user experiences.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level practitioners who wish to embed Vertex AI Gemini capabilities into applications using Firebase and related SDKs.

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

• Set up Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered features into mobile and web apps.
• Handle multimodal inputs such as text, image, and audio in client apps.
• Deploy and monitor AI features in production applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Firebase and Vertex AI SDKs.
• Project-based exercises for app-level AI features.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Vertex AI provides enterprise-ready tools for managing the full machine learning lifecycle, including observability, compliance, and operational excellence. With live monitoring, data residency controls, grounding, and integrated Gen AI evaluation, Vertex AI is designed to meet the demands of production-grade AI systems.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to deploy, monitor, and govern Vertex AI models in enterprise environments.

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

• Set up MLOps pipelines using Vertex AI.
• Monitor and observe models with real-time insights.
• Apply grounding techniques and evaluation tools for Gen AI models.
• Implement compliance and governance strategies, including data residency controls.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.