Results for "kubeflow+pipelines"
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: 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
Skills you'll gain: Docker (Software), Kubernetes, Containerization, YAML, DevOps, Devops Tools, Application Deployment, Command-Line Interface, Flask (Web Framework), Cloud Deployment, Scalability, Load Balancing
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: Kubernetes, Docker (Software), Containerization, Cloud-Native Computing, Application Deployment, YAML, Devops Tools, Command-Line Interface, Google Cloud Platform, Web Applications, Cloud Deployment, Data Persistence, Development Environment, Configuration Management, Virtual Networking, Microservices, Nginx, Software Installation, MongoDB, Service Management
Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing
What brings you to Coursera today?
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling
Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Diagram Design, Data Mapping, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Configuration Management, Enterprise Security
Skills you'll gain: Cloud-Native Computing, Devops Tools, Continuous Integration, Continuous Deployment, Continuous Delivery
Skills you'll gain: Cloud-Native Computing, Application Deployment, Kubernetes, Cloud Deployment, Containerization, Serverless Computing, DevOps, Prometheus (Software), Cloud Standards, Infrastructure Security, Microservices, System Monitoring, Grafana, Scalability, Configuration Management
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: Prometheus (Software), CI/CD, Grafana, DevOps, Continuous Integration, Kubernetes, Continuous Delivery, Continuous Deployment, GitHub, Docker (Software), Application Deployment, System Monitoring, Dashboard Creation, Software Visualization
In summary, here are 10 of our most popular kubeflow+pipelines courses
- Orchestrate ML Workflows with Vertex AI Pipelines: Google Cloud
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- Containerization and Kubernetes for DevOps: Packt
- Build & Transform Data Pipelines: Coursera
- Docker and Kubernetes Masterclass: From Beginner to Advanced: Packt
- Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
- Automate ML Pipelines for Peak Performance: Coursera
- Building Automated Data Pipelines with Spark,dbt,and Airflow: Coursera
- Automating Kubernetes with GitOps: Pearson
- Kubernetes and Cloud Native Associate: Pearson
