您将获得的技能: Apache Hadoop, 数据管理, Data Management, 托管服务, Apache Spark, Google 云端平台, 大数据

您将获得的技能: Microservices, API Gateway, Scalability, Systems Architecture, Software Architecture, Data Management, Distributed Computing, Databases, API Design, Restful API, Software Design Patterns, NoSQL, GraphQL, Event-Driven Programming

您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

您将获得的技能: Retrieval-Augmented Generation, LLM Application, Model Deployment, Prompt Patterns, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API), Scalability

您将获得的技能: Cloud Deployment

您将获得的技能: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Preprocessing, Tidyverse (R Package), Data Management

您将获得的技能: Internet Of Things, Amazon Web Services, Cloud Hosting, Cloud Security, Real Time Data

您将获得的技能: PySpark, Data Pipelines, Apache Spark, Dashboard, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Distributed Computing, Data Transformation, Deep Learning, Performance Tuning

您将获得的技能: Azure Synapse Analytics, Data Warehousing, Power BI, Data Integration, Data Architecture, Data Visualization Software, Microsoft Azure, Apache Spark, Database Management, Data Pipelines, Performance Tuning, Data Processing, Data Security, Scalability

您将获得的技能: Kubernetes, Capacity Management, Application Deployment, Google Cloud Platform, Cloud-Native Computing, Scalability, Cloud Infrastructure, Data Persistence, Containerization, YAML, Load Balancing, Cloud Security, Network Model

您将获得的技能: 数据操作, R 语言程序设计（中文版）, 数据可视化软件, 用户界面 (UI) 设计, 闪亮（R 套件）, 数据整合, 数据导入/导出, 数据整理, Ggplot2, 仪表板, 交互式数据可视化, 数据可视化

您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning