个结果，搜索词为 "full stack"
状态：免费试用您将获得的技能: CI/CD, Kubernetes, YAML, 可扩展性, DevOps, OpenShift, 应用程序部署, 云原生计算, 命令行界面, Istio, 集装箱化, Docker (软件), 微服务
状态：新状态：免费试用您将获得的技能: Data Validation, Data Quality, Data Integrity, Debugging, Data Pipelines, Test Automation, Root Cause Analysis, YAML, Generative AI, Development Testing, Anomaly Detection, Python Programming, DevOps, Dashboard, Reliability, Performance Tuning
状态：新您将获得的技能: Web Components, Web Applications, User Interface (UI), Full-Stack Web Development, User Accounts, Event-Driven Programming, Data Persistence, Data Access, Data Validation
状态：免费试用您将获得的技能: Node.JS, React Redux, Restful API, Database Design, Ajax, Database Application, Databases, Full-Stack Web Development, Server Side, NoSQL, Back-End Web Development, Front-End Web Development, Javascript, React.js, Performance Tuning, API Design, Data Structures, MongoDB, Debugging, JavaScript Frameworks
状态：免费试用您将获得的技能: 全栈式网络开发, 服务器端, 后端网站开发, 中间件, JSON, Javascript, GitLab, 云计算, 网络应用, 恢复性应用程序接口, 计算机科学, 网络开发, 网络服务器, Node.JS, 认证
状态：新状态：免费试用LearnKartS
状态：新状态：预览SkillsBooster Academy
状态：免费试用您将获得的技能: 全栈式网络开发, 用户界面组件, 用户界面（UI）, React Redux, Javascript, 前端网络开发, 事件驱动编程, React.js, 应用编程接口 (API), JavaScript 框架, 数据流, 网络开发
状态：免费试用状态：人工智能技能您将获得的技能: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming
状态：新状态：免费试用您将获得的技能: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Data Validation, Database Design, Data Quality, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
状态：新您将获得的技能: Large Language Modeling, Vector Databases, Embeddings, Generative AI, LLM Application, Retrieval-Augmented Generation, Natural Language Processing, AI Security, Application Design, Prompt Engineering, Python Programming, Model Evaluation, Data Modeling, Artificial Intelligence, Metadata Management, MongoDB
状态：新状态：预览University of Illinois Urbana-Champaign
您将获得的技能: C++ (Programming Language), Programming Principles
总之，以下是 10 最受欢迎的 full stack 课程
- 通过 Docker、Kubernetes 和 OpenShift 介绍容器: IBM
- Data Quality and Debugging for Reliable Pipelines: Coursera
- Build and Learn ASP.NET 6.0 Blazor Hands-On: Packt
- JavaScript Programming with React, Node & MongoDB: IBM
- 使用 Node.js 和 Express 开发后端应用程序: IBM
- Agentic AI Engineering: RAG, MCP & MERN: LearnKartS
- Fundamentals of Gen AI Retrieval Dynamics: SkillsBooster Academy
- 使用 React 开发前端应用程序: IBM
- Meta Data Analyst: Meta
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
