计算机课程
计算机课程可以帮助您学习 Python 和 Java 等编程语言、数据结构、Algorithm 和网络开发基础。您可以掌握软件设计、Debugging 和数据库管理方面的技能，同时了解 Network Protocol 和网络安全原理。许多课程都会介绍一些工具，如用于版本控制的 Git、用于数据库查询的 SQL 以及各种集成开发环境 (IDE)，以方便编码和项目协作。
热门计算机课程和认证
状态：免费试用您将获得的技能: Identity and Access Management, Scalability, Security Controls, Authorization (Computing), Authentications, Data Access, Role-Based Access Control (RBAC), Performance Tuning, Data Governance, Test Planning, Configuration Management
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, AI Security, Continuous Monitoring, Scalability
您将获得的技能: Cloud Applications, Google Cloud Platform, Application Development, Application Design, Cloud API, Cloud Storage, Cloud Services, Microservices, Platform As A Service (PaaS), Data Storage, Software Development, Data Store, Development Environment
您将获得的技能: Application Performance Management, Google Cloud Platform, Prometheus (Software), Cloud Computing Architecture, Network Monitoring, System Monitoring, Kubernetes, Cloud Applications, Network Performance Management, Cloud Services, Query Languages, Network Troubleshooting, Debugging
状态：免费试用Google Cloud
您将获得的技能: Google Gemini, Responsible AI, Gemini, Google Cloud Platform, Generative AI, AI Enablement, Cloud Management, Cloud Infrastructure, Cloud Solutions, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Innovation
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
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
状态：免费试用Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Embeddings
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Model Evaluation, Applied Machine Learning, Machine Learning
状态：免费Amazon Web Services
您将获得的技能: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration, Technical Design
状态：新状态：免费试用Google Cloud
您将获得的技能: Google Cloud Platform, Responsible AI, Generative AI, Gemini, AI Enablement, AI Product Strategy, AI Security, Artificial Intelligence, Cloud Infrastructure, Data Governance, Innovation
Google Cloud
您将获得的技能: Active Directory, Cloud Storage, Cloud Management, Google Cloud Platform, Data Storage, Data Storage Technologies, Data Maintenance
总之，以下是 10 最受欢迎的 computing 课程
- Scaling, Access Control, and Exam preparation with Vault: Packt
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- Getting Started with Application Development - Español: Google Cloud
- Observability in Google Cloud - Português Brasileiro: Google Cloud
- 生成 AI: 現在の状況を知る: Google Cloud
- Building Resilient Streaming Analytics Systems on GCP IT: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University
- Dönüştürücü Modelleri ve BERT Modeli: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
- Getting Started with Amazon Neptune: Amazon Web Services
