Databricks 课程可以帮助您学习数据工程、机器学习和数据解析,以及 Delta Lake 和 Apache Spark 等概念。您可以掌握数据管道创建、协作数据科学和优化数据 Workflow 的技能。许多课程都会介绍 Databricks notebooks 和 MLflow 等工具,这些工具可以促进机器学习模型的开发和部署,使您能够更有效地管理数据并简化解析流程。

Duke University
您将获得的技能: 大型语言模型, 检索-增强生成, Prompt Engineering, 工作流程管理, 矢量数据库, LLM 申请, 数据湖, 阿帕奇气流, ChatGPT, 拥抱的脸, 亚马逊基岩, 性能分析, MLOps(机器学习 Operator), 生成模型架构, 摘录, OpenAI, 数据库, 生成式人工智能, 多模式 Prompt, 模型部署
初级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: 数据架构, MySQL, 数据湖, SQL, NoSQL, 数据库系统, 云存储, 数据仓库, 云服务, 数据库, 数据存储, 数据库管理员, 数据处理, 微软 Azure, Azure 突触分析, 关系数据库, Power BI, 数据库管理
初级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, PySpark, Azure Synapse Analytics, Feature Engineering, Data Pipelines, Databases, Microsoft Azure, Apache Spark, Extract, Transform, Load, Power BI, Data Lakes, Databricks, NoSQL, SQL Server Integration Services (SSIS), Cloud Management, Data Governance, Data Visualization Software, Performance Tuning, Big Data, Large Language Modeling
中级 · 专业证书 · 3-6 个月

您将获得的技能: Apache Hadoop, 图论, 机器学习, 大数据, 监督学习, 模型评估, NoSQL, 数据库, MongoDB, 数据库管理员, PySpark, 无监督学习, 数据处理, Apache Hive, 生成式人工智能, 数据预处理, 应用机器学习, 摘录, Apache Spark, Apache Cassandra
初级 · 专项课程 · 3-6 个月

您将获得的技能: Databricks, Data Governance, Microsoft Azure, Data Lakes, Real Time Data, Data Management, Data Integration, Data Pipelines, Data Quality, User Provisioning, Performance Tuning
高级设置 · 课程 · 1-4 周

Whizlabs
您将获得的技能: Data Governance, Extract, Transform, Load, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Pipelines, Data Lakes, Amazon Web Services, Amazon Redshift, Data Security, Personally Identifiable Information, Data Warehousing, Data Quality, General Data Protection Regulation (GDPR), Data Integration, Data Validation, Fraud detection
中级 · 课程 · 1-4 周

Pearson
您将获得的技能: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Processing, Data Import/Export, Data Integration, Linux Commands, File Systems, Text Mining, Data Transformation, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Java, C++ (Programming Language)
中级 · 专项课程 · 1-4 周

您将获得的技能: Enterprise Architecture, Apache Kafka, Data Architecture, Generative AI, Data Infrastructure, Root Cause Analysis, Dataflow, Solution Architecture, Data Quality, Data Pipelines, Software Architecture, Data Integration, Cloud Storage, Data Storage, Failure Analysis, Data Processing, Dependency Analysis, Real Time Data
中级 · 课程 · 1-4 周

您将获得的技能: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
初级 · 专项课程 · 1-3 个月

Duke University
您将获得的技能: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
中级 · 专项课程 · 1-3 个月

Microsoft
您将获得的技能: 数据可视化软件, 数据架构, 商业智能, 数据湖, 云存储, 数据库, 数据仓库, 大数据, 云服务, 数据管道, 微软 Azure, 数据处理, Azure 突触分析, 数据整合, 分析, 数据可视化, Power BI
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Cloud Deployment, Apache Hadoop, Applied Machine Learning, Data Architecture, Apache Hive, Application Programming Interface (API), Jupyter, Data Storage, Data Quality, Advanced Analytics, Serverless Computing, SQL
中级 · 专项课程 · 3-6 个月