您将获得的技能: Cloud Security, Key Management, Encryption, Cloud Storage, Cloud API, Data Governance, Google Cloud Platform, Data Security

您将获得的技能: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Tensorflow, Applied Machine Learning, AI Workflows, Cloud Infrastructure, Model Deployment, Machine Learning, Model Evaluation, Data Preprocessing, Natural Language Processing

您将获得的技能: Gemini, Google Gemini, Generative AI, Prompt Engineering, AI Product Strategy, Multimodal Prompts, AI Enablement, MLOps (Machine Learning Operations), Model Deployment, LLM Application, Google Cloud Platform, Performance Tuning

您将获得的技能: Digital Transformation, Google Workspace, Google Cloud Platform, Cloud Applications, Business Transformation, Productivity Software, Database Application, Cloud Infrastructure, Cloud Computing, Cloud Services, Cost Management, Artificial Intelligence and Machine Learning (AI/ML), Cloud Security, Data Storage

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Automation, Continuous Deployment, Containerization, Data Processing

您将获得的技能: Innovation, Digital Transformation, Business Transformation, Organizational Change, Cloud Computing, Cloud Solutions, Google Cloud Platform, Technology Strategies, User Research, Data Management

您将获得的技能: Prompt Engineering, Generative AI, Large Language Modeling, LLM Application, AI Enablement, Artificial Intelligence, Application Development

您将获得的技能: Generative AI, Generative Model Architectures, Prompt Engineering, LLM Application, Prototyping

您将获得的技能: 负责任的人工智能, 管理团队, 创新, 利益相关者管理, 业务转型, 组织变革, 沟通, 劳动力发展, 跨职能合作, 变革管理, 员工培训, AI 赋能, 生成式人工智能

您将获得的技能: Cloud Storage, Data Storage, Cloud API, Cloud Computing, File Management, Data Storage Technologies, Google Cloud Platform

您将获得的技能: 大型语言模型, LLM 申请, Prompt Engineering, 自然语言处理, 生成式人工智能, Google 双子座

您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability