设计模式课程
Design Patterns 课程可以帮助您学习面向对象的设计原则、Singleton 和 Observer 等常见设计模式以及软件架构的最佳实践。您可以掌握代码重构、提高可维护性和加强开发人员之间协作的技能。许多课程都会介绍一些工具，如用于可视化设计结构的 UML 和便于实现设计模式的 Integrated Development Environment (IDE)，使您能够在实际编码项目中应用这些概念。
热门设计模式课程和认证
University of Maryland, College Park
您将获得的技能: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Web Analytics, Digital Advertising, Marketing Effectiveness, A/B Testing, MarTech, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Customer experience improvement
您将获得的技能: Network Architecture, Network Security, Network Planning And Design, Virtual Networking, Cloud Computing Architecture, General Networking, Network Troubleshooting, Cloud Infrastructure, Google Cloud Platform, Network Routing, Load Balancing, Firewall, Virtual Private Networks (VPN), Scalability
您将获得的技能: Data Storytelling, Heat Maps, Data Presentation, Statistical Visualization, Web Content Accessibility Guidelines, Customer Retention, Plot (Graphics), Timelines, Data Visualization Software, Tableau Software, Stakeholder Communications
您将获得的技能: Peer Review, Technical Communication, Agile Methodology, Communication Strategies, Engineering Management, Decision Making, AI Product Strategy
您将获得的技能: Information Architecture, User Experience, Content Management, Usability, UI/UX Research, Usability Testing, Design Research, User Centered Design, User Research, Statistical Analysis, Content Strategy, Goal Setting, Sample Size Determination
您将获得的技能: Apache Cassandra, Distributed Computing, NoSQL, Database Design, Query Languages, Performance Tuning, Scalability, Data Integrity, Data Management, Java
您将获得的技能: Animations, 3D Assets, 3D Modeling, Animation and Game Design, Computer Graphics, Virtual Environment, Computer Graphic Techniques, Performance Tuning
您将获得的技能: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Google Gemini, Generative AI, Large Language Modeling, Multimodal Prompts, Google Cloud Platform, Model Deployment
您将获得的技能: Generative AI, AI Personalization, Prompt Engineering Tools, AI Enablement, Web Content, Web Analytics and SEO, Google Cloud Platform, User Experience, Web Development
您将获得的技能: Back-End Web Development, Full-Stack Web Development
总之，以下是 10 最受欢迎的 design patterns 课程
- Digital Marketing 2: University of Maryland, College Park
- Networking in Google Cloud: Network Architecture - Español: Google Cloud
- Visualize Retention: Heatmaps & Clarity Unlocked: Coursera
- Collaborate, Review, and Decide on AI Apps: Coursera
- Card Sorting: Organize Content with Card Sort Techniques: Packt
- Apply Advanced Data Operations in Apache Cassandra: EDUCBA
- Geometry Nodes For Blender 4.4: Packt
- 3D Trees with Blender Geometry Nodes: Packt
- Parse & Normalize Data for ML Pipelines: Coursera
- Auf generativer KI basierende Anwendungen in Google Cloud entwickeln: Google Cloud
