Results for "cloud dataflow"
Google Cloud
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Site Reliability Engineering, Cloud Security, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Cloud Storage, Development Testing, Unit Testing, Containerization, File I/O, Data Transformation
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Cloud Computing, Cloud Deployment, Apache Spark, Web Services, Cloud Technologies, Cloud Services, Virtualization and Virtual Machines, Cloud Computing Architecture, PySpark, Cloud Infrastructure, Cloud Development, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Prompt Engineering Tools, Cloud Solutions, Prompt Patterns, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Platforms, Cloud Computing Architecture, Cloud Engineering, Infrastructure Architecture, Cloud Computing
Skills you'll gain: Infrastructure as Code (IaC), Scripting, Data Persistence, Python Programming, AI Workflows, Command-Line Interface, Virtual Machines, Data Pipelines
What brings you to Coursera today?
Google Cloud
Skills you'll gain: Data Warehousing, Data Quality, Data Infrastructure, Data Cleansing, Performance Tuning, Data Validation, Scalability, System Monitoring, Serverless Computing
Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Metadata Management, Data Storage, Data Quality, Data Cleansing, Machine Learning Methods
Skills you'll gain: Data Integration, Data Pipelines, Dataflow, Data Lakes, Microsoft Azure, Performance Tuning, Data Processing, Data Validation, Data Storage, Cloud Storage
KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation
Skills you'll gain: Gemini, API Gateway, Google Gemini, Cloud Applications, Cloud-Native Computing, Kubernetes, Google Cloud Platform, Containerization, Cloud Infrastructure, Application Deployment, Prompt Engineering, CI/CD, Serverless Computing, Cloud Development, Microservices, Application Development, Identity and Access Management, Cloud Computing, Cloud Storage, Debugging
In summary, here are 10 of our most popular cloud dataflow courses
- Serverless Data Processing with Dataflow: Google Cloud
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- Cloud Computing for Data Science: University of Pittsburgh
- Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
- Automate Cloud Workflows with Python Scripting: Coursera
- Build Batch Data Pipelines on Google Cloud: Google Cloud
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Microsoft Azure - Data Factory: EDUCBA
- Data Engineering Essentials: KodeKloud
