人机交互课程
人机交互课程可以帮助您学习用户界面设计、可用性测试、交互设计原则和 Accessibility 标准。您可以掌握用户研究、原型设计和跨平台评估用户体验的技能。许多课程都会介绍 Figma、Sketch 和 Adobe XD 等工具，这些工具支持创建和测试 Interface，以及收集用户反馈和迭代设计的方法。
热门人机交互课程和认证
状态：新Google Cloud
您将获得的技能: Generative AI Agents, Prompt Engineering, Google Gemini, Generative AI, AI Product Strategy, LLM Application, Google Cloud Platform, Artificial Intelligence, Business Transformation, Innovation, Organizational Change, Customer Engagement, Continuous Monitoring
状态：新Google Cloud
您将获得的技能: LLM Application, Large Language Modeling, Threat Modeling, Open Web Application Security Project (OWASP), Security Controls, Responsible AI, Application Security, Vulnerability Management, Application Programming Interface (API), Cloud API, System Configuration
您将获得的技能: Generative AI, AI Personalization, Prompt Engineering, Large Language Modeling, Web Content, Google Cloud Platform, User Experience, Information Architecture, Content Management, Image Analysis
Google Cloud
您将获得的技能: Security Strategy, Cyber Security Strategy, Responsible AI, Threat Modeling, Security Management, Threat Management, Enterprise Security, Security Requirements Analysis, Data Security, Infrastructure Security, Artificial Intelligence
状态：新Google Cloud
您将获得的技能: Responsible AI, Generative AI, AI Product Strategy, Prompt Engineering, Google Cloud Platform, Organizational Strategy, Strategic Leadership, Artificial Intelligence, Google Workspace, Natural Language Processing
您将获得的技能: Virtual Private Networks (VPN), Google Cloud Platform, Multi-Cloud, Hybrid Cloud Computing, Cloud Computing Architecture, Cloud Computing, General Networking, Network Routing, Wide Area Networks, Network Infrastructure, Network Security
您将获得的技能: Google Gemini, Exploratory Data Analysis, Data Processing, Data Pipelines, Data Manipulation, Big Data, Google Cloud Platform, Data Visualization Software, Generative AI Agents, SQL, Debugging
您将获得的技能: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Validation, Machine Learning, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Quality
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Jupyter, Google Cloud Platform, Machine Learning, Virtual Machines, Development Environment, Exploratory Data Analysis
您将获得的技能: Real Time Data, Google Cloud Platform, Data Pipelines, Big Data, Data Processing, Advanced Analytics, Performance Tuning, Data Storage Technologies, Data Transformation, Scalability
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines
Google Cloud
您将获得的技能: Kubernetes, Google Gemini, Google Cloud Platform, Generative AI, Infrastructure as Code (IaC), Application Deployment, Cloud Infrastructure, Prompt Engineering, Scalability
与 human computer interaction 相关的搜索
总之，以下是 10 最受欢迎的 human computer interaction 课程
- 生成式 AI 代理：實現組織轉型: Google Cloud
- Model Armor : sécuriser les déploiements d'IA: Google Cloud
- Modernisasi Situs dengan AI Generatif di Google Cloud: Google Cloud
- AI 보안 소개: Google Cloud
- AI Generatif: Lebih dari sekadar Chatbot: Google Cloud
- Networking in Google Cloud: Hybrid and Multicloud - Français: Google Cloud
- Boost Productivity with Gemini in BigQuery - 繁體中文: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
- Trabaja con Notebooks en Vertex AI: Google Cloud
- Building Resilient Streaming Analytics Systems on GCP IT: Google Cloud
