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: 负责任的人工智能, 拥抱的脸, 数据科学, 模型部署, 数据转换, 数据分析, 分析, Databricks, 机器学习, MLOps(机器学习运营), 大型语言建模, 数据处理, 摘录, 数据湖, 生成式人工智能, 数据管道
初级 · 课程 · 1-4 周

您将获得的技能: Data-Driven Decision-Making, Data Management, Database Development
初级 · 课程 · 1-4 周
您将获得的技能: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
中级 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 及时工程, 拥抱的脸, 多模式提示, Databricks, 法学硕士申请, 模型部署, MLOps(机器学习运营), 矢量数据库, 工作流程管理, 大型语言建模, 阿帕奇气流, 检索-增强生成, ChatGPT, 亚马逊基岩, 生成模型架构, 摘录, 数据湖, 生成式人工智能, OpenAI, 性能分析
初级 · 专项课程 · 3-6 个月

Pragmatic AI Labs
您将获得的技能: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
中级 · 课程 · 1-4 周

您将获得的技能: Azure Synapse Analytics, Microsoft Azure, Data Lakes, Databricks, Data Pipelines, Data Architecture, Apache Spark, Data Storage Technologies, Big Data, Cloud Storage, Data Infrastructure, Data Storage, Data Processing, Microsoft SQL Servers, Data Integration, Event-Driven Programming, Extract, Transform, Load, Operational Databases, Real Time Data, System Monitoring
初级 · 课程 · 1-4 周

您将获得的技能: Star Schema, Snowflake Schema, CI/CD, Data Warehousing, Database Design, Transact-SQL, Data Pipelines, Extract, Transform, Load, Data Architecture, Data Modeling, Data Transformation, Data Integration, Microsoft Azure, Dataflow, Git (Version Control System), Performance Tuning
中级 · 课程 · 1-3 个月

您将获得的技能: Apache Hadoop, PySpark, 数据转换, 调试, 开发环境, 大数据, 可扩展性, Kubernetes, 数据处理, Docker (软件), Apache Hive, 分布式计算, 性能调整, IBM 云计算, Apache Spark
中级 · 课程 · 1-3 个月

您将获得的技能: Transaction Processing, Data Lakes, Data Architecture, Databricks, Data Infrastructure, Data Pipelines, Data Warehousing, Database Architecture and Administration, Data Integration, Apache Spark, Data Processing, Real Time Data, Big Data, Data Integrity, Scalability, Performance Tuning, Data Management, SQL
中级 · 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

Microsoft
您将获得的技能: 数据架构, 关系数据库, Databricks, 数据库, MySQL, 数据仓库, 数据库系统, 仪表板, 云服务, Power BI, 数据库管理, Apache Spark, 数据处理, 查询语言, NoSQL, Azure 突触分析, 云计算开发, 数据存储, 云存储, Microsoft Azure
初级 · 专项课程 · 3-6 个月