网络安全课程
网络安全课程可以帮助您了解防火墙、入侵检测系统和加密协议。您可以掌握风险评估、Incident Management 和漏洞管理方面的技能。许多课程都会介绍用于网络分析的 Wireshark、用于漏洞扫描的 Nessus 以及各种安全信息和事件管理 (SIEM) 系统等工具，展示如何在实际工作中应用这些技能来保护网络免受网络威胁。
热门 Network Security 课程和证书
状态：新Google Cloud
您将获得的技能: Google Workspace, Gmail, Technical Support, File Management, Security Requirements Analysis, Issue Tracking, Cloud Storage, Event Monitoring, Technical Communication, Systems Administration
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, AI Product Strategy, AI Security, Regulatory Compliance, Governance, Generative AI
状态：新状态：免费试用您将获得的技能: Extract, Transform, Load, Data Pipelines, Data Integration, File Management, Scalability, Data Processing, Context Management, Java, Data Transformation, Maintainability
状态：新状态：免费试用您将获得的技能: Google Gemini, Retrieval-Augmented Generation, AI Security, Google Workspace, Generative AI, Google Cloud Platform, Enterprise Security, AI Workflows, LLM Application, Responsible AI, Prompt Engineering
状态：新状态：免费试用Google Cloud
您将获得的技能: Generative AI Agents, Generative AI, Google Cloud Platform, Gemini, Responsible AI, AI Security, AI Product Strategy, AI Enablement, Data Ethics, Cloud Infrastructure, Data Governance, Artificial Intelligence, Data Centers, MLOps (Machine Learning Operations)
Google Cloud
您将获得的技能: Keras (Neural Network Library), Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Autoencoders, Applied Machine Learning, Natural Language Processing, Embeddings
状态：新您将获得的技能: Dataflow, Data Pipelines, Serverless Computing, Data Processing, Identity and Access Management, Data Security, Google Cloud Platform, Distributed Computing, Containerization, Data Storage Technologies
您将获得的技能: Anomaly Detection, Microsoft Azure, Application Performance Management, Site Reliability Engineering, Time Series Analysis and Forecasting, Generative AI, Query Languages, Data Integration, Process Optimization, Data Analysis, Scalability, User Feedback
您将获得的技能: Responsible AI, Data Ethics, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow
Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Store, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Machine Learning, Statistical Methods
您将获得的技能: AI Security, Responsible AI, Information Privacy, Data Ethics, Personally Identifiable Information, Google Cloud Platform, Cloud Security, Safety and Security, Artificial Intelligence, Generative AI
状态：新您将获得的技能: Amazon Elastic Compute Cloud, Amazon CloudWatch, Load Balancing, Amazon Web Services, Scalability, Cloud-Native Computing, Cloud Management, Cloud Applications, Capacity Management, System Monitoring
总之，以下是 10 最受欢迎的 network security 课程
- Solución de problemas de Google Workspace: Google Cloud
- Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
- Talend Data Integration Studio: Intermediate: EDUCBA
- Aplikasi AI Generatif: Mentransformasi Pekerjaan Anda: Google Cloud
- 生成式 AI：掌握幕後技術與環境: Google Cloud
- Encoder-Decoder Architecture - Deutsch: Google Cloud
- Traitement des données sans serveur avec Dataflow : cours 1: Google Cloud
- Automate AI Anomaly Detection & Response: Coursera
- Responsible AI for Developers: Fairness & Bias - Polski: Google Cloud
- Feature Engineering - Italiano: Google Cloud
