Results for "batch+and+streaming+ingestion"
Coursera
Skills you'll gain: Data Maintenance, Dataflow, Dependency Analysis
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
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: CI/CD, Continuous Integration, Jenkins, Devops Tools, DevOps, Infrastructure as Code (IaC), Continuous Delivery, OpenShift, Git (Version Control System), GitHub, IT Automation, Kubernetes, Containerization, Automation
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
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality
What brings you to Coursera today?
Google Cloud
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Apache Kafka, Real Time Data, Extract, Transform, Load, Data Integration, Data Processing, Data Import/Export, Analysis, Managed Services
Pragmatic AI Labs
Skills you'll gain: 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
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: 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
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
In summary, here are 10 of our most popular batch+and+streaming+ingestion courses
- SQL: Build & Trace Pipelines:Â Coursera
- Gradient to Production: MLOps & Model Serving:Â Coursera
- Build Batch Data Pipelines on Google Cloud:Â Google Cloud
- Continuous Integration and Continuous Delivery (CI/CD):Â IBM
- ETL and Data Pipelines with Shell, Airflow and Kafka:Â IBM
- Getting Started with Automated Machine Learning (AutoML):Â Edureka
- Build Streaming Data Pipelines on Google Cloud:Â Google Cloud
- Machine Learning with Databricks and MLflow:Â Pragmatic AI Labs
- Orchestrate, Analyze, and Evaluate ML Pipelines:Â Coursera
- Integrate, Scale, and Monitor ML Microservices:Â Coursera
