Results for "production ml pipelines"

Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

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, Decision Intelligence, Performance Metric, Python Programming, Version Control

Skills you'll gain: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS SageMaker, DevOps, CI/CD, Kubernetes, Cloud-Native Computing, Model Training, Fraud detection, Continuous Deployment, Devops Tools, AI Workflows, Continuous Integration, Application Deployment, Site Reliability Engineering, Application Lifecycle Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Artificial Intelligence

Skills you'll gain: Token Optimization, LangChain, Large Language Modeling, Prompt Patterns, Prompt Engineering, Retrieval-Augmented Generation, Model Optimization, MLOps (Machine Learning Operations), AI Workflows, Application Performance Management, Model Deployment, Embeddings, System Monitoring, Generative AI, Agentic Workflows, AI Enablement, Debugging, Personally Identifiable Information, AI literacy, Semantic Web

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Kubernetes, Cloud-Native Computing, Model Training, DevOps, AI Workflows, CI/CD, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Data Pipelines, Docker (Software), Machine Learning Algorithms, Data Science, Data Validation, Python Programming, Artificial Intelligence, Random Forest Algorithm
What brings you to Coursera today?

Google Cloud
Skills you'll gain: Dataflow, Apache Kafka, Data Pipelines, Real Time Data, Data Wrangling, Cloud-Based Integration, Extract, Transform, Load, Serverless Computing, Command-Line Interface, Google Cloud Platform, Data Warehousing, Apache Spark, Cloud Engineering, Data Quality, Identity and Access Management, Data Integration, Scripting, Data Cleansing, Data Transformation, Data Processing

Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Model Training, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, CI/CD, Tensorflow

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, Cloud Deployment, Devops Tools, Data Store, Continuous Deployment

Skills you'll gain: MLOps (Machine Learning Operations), AI Workflows, API Design, CI/CD, Software Quality Assurance, Code Review, Maintainability

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Continuous Deployment, Model Evaluation, Data Preprocessing, Model Optimization, Machine Learning, Applied Machine Learning, Data Validation, Data Integrity, Data Maintenance, Data Quality, Data Synthesis, Data Collection, System Monitoring, Continuous Monitoring, Unstructured Data

Skills you'll gain: Apache Airflow, Data Warehousing, Data Flow Diagrams (DFDs), Data Lakes, Data Pipelines, Diagram Design, Data Integration, Performance Tuning, Data Governance, Cloud Deployment, Data Management, Data Modeling, Data Mapping, Extract, Transform, Load, Trend Analysis, Service Level Agreement, Systems Integration, SQL, Apache Kafka, Python Programming