产品开发课程
产品开发课程可以帮助您学习用户研究、原型设计、产品测试和市场验证。您可以掌握创建产品路线图、进行竞争分析以及与跨职能团队合作的技能。许多课程都会介绍一些工具，如用于项目管理的 JIRA、用于设计的 Skills Tracks 以及用于解析用户参与度的各种分析平台，让您能够在实际项目中应用自己的技能，加深对产品生命周期的理解。
热门产品开发课程和认证
状态：新状态：预览您将获得的技能: File I/O, Object Oriented Programming (OOP), Java Programming, Data Structures, Data Persistence, Programming Principles
Google Cloud
您将获得的技能: Gemini, Google Cloud Platform, Application Development, AI Enablement, Software Development Tools, Code Review, Natural Language Processing
Google Cloud
您将获得的技能: Data Transformation, Looker (Software), Data-Driven Decision-Making, Google Cloud Platform, Business Analytics, Big Data, Analytics, Data Cleansing, Data Visualization Software, Data Analysis, Dashboard, SQL, Cloud Storage, Data Warehousing, Data Storage, Solution Architecture
Google Cloud
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Generative Model Architectures, Large Language Modeling, Google Cloud Platform, Model Deployment
Google Cloud
您将获得的技能: Looker (Software), Dashboard, Data Analysis, Data Presentation, Data Storytelling, Analytics, SQL, Data Preprocessing, Google Cloud Platform, Big Data, Data Visualization Software, Data Warehousing
您将获得的技能: Kubernetes, Containerization, Cloud-Native Computing, Cloud Infrastructure, Application Deployment, Google Cloud Platform, Docker (Software), Cloud Computing, Cloud Management
状态：新状态：免费试用您将获得的技能: Data Processing, Data-Driven Decision-Making, NumPy
您将获得的技能: Data Pipelines, Cloud Storage, Data Infrastructure, Data Warehousing, Extract, Transform, Load, Data Integration, Data Processing, Data Migration, Data Lakes, Google Cloud Platform, Big Data, Data Storage Technologies, Cloud Services, Automation, Serverless Computing
Microsoft
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Ethics, Azure DevOps Pipelines, Azure DevOps, Model Deployment, Generative AI, AI Workflows, Microsoft Azure, Application Lifecycle Management, CI/CD, Version Control, System Monitoring, Continuous Monitoring
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Jupyter, Model Deployment, Google Cloud Platform, Machine Learning, Data Preprocessing, Virtual Environment, Development Environment
状态：新您将获得的技能: Software Design, Programming Principles, Debugging
状态：新状态：免费试用Google Cloud
您将获得的技能: AI Security, Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Unstructured Data, Artificial Intelligence, Data Quality, Data Access, Deep Learning, Machine Learning, Business Solutions
与 product development 相关的搜索
总之，以下是 10 最受欢迎的 product development 课程
- Advanced Java Programming: EDUCBA
- Gemini for Application Developers - Français: Google Cloud
- Google Cloud でのデータ分析の概要 : Google Cloud
- 在 Google Cloud 打造生成式 AI 應用程式: Google Cloud
- Google Cloud 資料分析簡介: Google Cloud
- Architecting with Google Kubernetes Engine: Foundations 简体中文: Google Cloud
- Seaborn Setup: Tools, Data Prep & EDA for Visualization: EDUCBA
- Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
- MLOps and responsible AI practices: Microsoft
- Trabaja con Notebooks en Vertex AI: Google Cloud
