工程学课程
工程学课程可以帮助你学习设计原理、项目管理、系统分析和解决问题的技巧。您可以掌握技术制图、材料选择和原型设计方面的技能，同时了解监管标准和可持续发展实践。许多课程都会介绍一些工具，如用于设计的 CAD 软件、用于测试的模拟程序以及用于简化工作流程的项目管理平台。
热门工程学课程和认证
状态：免费试用状态：人工智能技能IBM
您将获得的技能: 生成式人工智能, Linux 命令, 查询语言, 数据分析, Python 编程, Apache Hadoop, 数据管道, 数据库管理, 网络抓取, NoSQL, 数据科学, Apache Spark, 数据导入/导出, IBM Cognos 分析系统, 数据库设计, 关系数据库, 专业网络, 数据仓库, 摘录
状态：免费试用状态：人工智能技能您将获得的技能: Linux 命令, CI/CD, 应用程序部署, 恢复性应用程序接口, 应用程序开发, 数据导入/导出, 持续集成, 云计算架构, DevOps, 用户故事, Kubernetes, 云部署, Grafana, 测试驱动开发（TDD）, 软件开发生命周期, 开放式网络应用程序安全项目（OWASP）, Istio, 软件架构, Gherkin（脚本语言）, 软件工程
状态：新Google
您将获得的技能: Vibe coding, Responsible AI, Data Analysis, Artificial Intelligence, Generative AI, Brainstorming, Business Communication, Data Visualization, Simulation and Simulation Software, Research, Business Modeling, Presentations, Content Creation, Project Management, Machine Learning, Planning
状态：新状态：免费试用您将获得的技能: Keyword Research, Content Performance Analysis, Search Engine Optimization, Prompt Engineering, Dashboard, Project Schedules, Marketing Strategies, AI Personalization, Interviewing Skills, Web Analytics, Project Planning, Strategic Marketing, Customer Analysis, Digital Marketing, Content Strategy, Generative AI Agents, Market Intelligence, Performance Analysis, Marketing Design, Strategic Partnership
状态：新状态：免费试用您将获得的技能: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, MLOps (Machine Learning Operations), Agentic Workflows, AI Security, A/B Testing, Open Web Application Security Project (OWASP), Software Engineering, Data Ethics, Responsible AI, Technical Communication, Secure Coding, Agentic systems, AI Orchestration, DevSecOps, Continuous Monitoring, CI/CD, Reinforcement Learning
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)
是什么让您今天来到 Coursera？
状态：免费试用Microsoft
您将获得的技能: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing
状态：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Model Evaluation, Data Analysis, Vector Databases, Data Import/Export
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 机器学习, Python 编程, 检索-增强生成, 模型评估, PyTorch（机器学习库）, 计算机视觉, 视觉转换器（ViT）, 及时工程, 大型语言建模, 无监督学习, 矢量数据库, 迁移学习, 数据科学, Apache Spark, PySpark, 生成模型架构, Prompt Engineering, Model Evaluation, 生成式人工智能代理, Keras（神经网络库）, 监督学习, Transfer Learning
状态：免费试用Meta
您将获得的技能: 利纳克斯, Linux 命令, MySQL, 算法, 软件可视化, 数据库管理, 命令行界面, 单元测试, 协作软件, 软件版本控制, 测试驱动开发（TDD）, 伪代码, 数据仓库, 数据完整性, 查询语言, Django （网络框架）, Algorithm, 计算思维, 编程原则, 数据库架构和管理
状态：免费试用状态：人工智能技能您将获得的技能: HTML 和 CSS, 云计算, 云原生计算, CI/CD, 数据导入/导出, 数据伦理, Node.JS, 恢复性应用程序接口, Kubernetes, 应用程序部署, 云计算架构, 工程软件, 响应式网页设计, Istio, 云部署, 软件开发生命周期, Django （网络框架）, 软件架构, React Redux, 服务器端
状态：免费试用Snowflake
您将获得的技能: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Warehousing, Change Control, DevOps, SQL, Cloud Development, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis
总之，以下是 10 最受欢迎的 engineering 课程
- IBM 数据工程: IBM
- IBM DevOps 和软件工程: IBM
- Google AI: Google
- AI SEO & GEO: Boost Your Brand's AI Visibility: Coursera
- Master Agentic AI: Core Principles & Real-World PC: Coursera
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Microsoft AI & ML Engineering: Microsoft
- IBM Generative AI Engineering: IBM
- IBM 人工智能工程: IBM
- 元数据库工程师: Meta
