01
Machine Learning Operations (MLOps) for Generative AI - 简体中文
本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。
部署和管理生成式 AI 模型
本学习路线全面介绍了机器学习运维 (MLOps)，并着重介绍生成式 AI。您将学习管理从开发和部署到监控这一整个生成式 AI 模型生命周期。然后您可通过一个实操实验测验知识掌握情况。在此实验中，您将使用 Vertex AI 在云端训练并部署一个模型。
02
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in...
03
Responsible AI for Developers: Fairness & Bias - 简体中文
本课程介绍了 Responsible AI 的概念和 AI 原则，还介绍了在 AI/机器学习实践中识别公平性与偏见以及减少偏见的实用技巧，同时探索了使用 Google Cloud 产品和开源工具来实施 Responsible AI 最佳实践的实用方法和工具。
04
Responsible AI for Developers: Interpretability & Transparency - 简体中文
本课程介绍了 AI 可解释性和透明度的相关概念，探讨了 AI 透明度对于开发者和工程师的重要性。同时探索了有助于在数据和 AI 模型中实现可解释性和透明度的实用方法及工具。
05
Responsible AI for Developers: Privacy & Safety - 简体中文
本课程介绍 AI 隐私保护和安全方面的重要主题，还将探索使用 Google Cloud 产品和开源工具实施建议的 AI 隐私保护和安全实践的实用方法和工具。
06
Introduction to Security in the World of AI
Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks,...
07
Build and Deploy Machine Learning Solutions on Vertex AI
Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain,...