Results for "batch and streaming ingestion"
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
Skills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, Power BI, PySpark, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Scalability, Data Processing, Data Governance, Event-Driven Programming, System Monitoring, Docker (Software)
Coursera
Skills you'll gain: Data Maintenance, Dataflow, Dependency Analysis
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Service Level Agreement, Performance Stress Testing, Performance Measurement, Performance Analysis
Skills you'll gain: Data Pipelines, Apache Kafka, Apache Airflow, Data Transformation, Extract, Transform, Load, Data Processing, Data Integration, Data Warehousing, Data Cleansing, Data Lakes, Data Mart, Performance Tuning, Shell Script, Bash (Scripting Language), Command-Line Interface
Pragmatic AI Labs
Skills you'll gain: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
What brings you to Coursera today?
Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls
Skills you'll gain: Microservices, MLOps (Machine Learning Operations), Application Performance Management, AI Integrations, Site Reliability Engineering, AI Workflows, Continuous Monitoring, Performance Analysis, Event-Driven Programming
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Coursera
Skills you'll gain: Data Pipelines, Apache Airflow, Data Integration, Cloud Deployment, Extract, Transform, Load, Cloud Computing, Data Infrastructure, Data Processing, Data Cleansing, Data Warehousing, Code Reusability
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling
In summary, here are 10 of our most popular batch and streaming ingestion courses
- Gradient to Production: MLOps & Model Serving: Coursera
- Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
- SQL: Build & Trace Pipelines: Coursera
- Deploy & Optimize ML Services Confidently: Coursera
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- Data Engineering with Delta Lake on Databricks: Pragmatic AI Labs
- Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
- Databricks Machine Learning Quickstart: Coursera
- Integrate, Scale, and Monitor ML Microservices: Coursera
- Production ML Engineering: Packaging, APIs, and Testing: Coursera
