LearnFlat · AI, Tech & Engineering · AI & Machine Learning

MLOps (Machine Learning Operations)

Learn the principles and practices for deploying, monitoring, and maintaining machine learning models in production. Bridge the gap between data science and DevOps.

MLOps (Machine Learning Operations)

MLOps Foundations with AWS SageMaker and Azure ML

Training Models with Scripts in Azure Machine Learning

Setting Up and Configuring the Azure Machine Learning Workspace

Model Deployment and Consumption in Azure Machine Learning

Generative AI MLOps: Deploying and Managing Models with Vertex AI

Cloud Platform AI and Machine Learning Foundations

Cloud Machine Learning: Build, Train, and Deploy with Keras and Vertex AI

Smart Analytics and Machine Learning on Cloud Platform

Vertex AI MLOps: Model Evaluation and Monitoring

Vertex AI MLOps: Feature Management and Pipeline Automation

Cloud MLOps: Deploying and Managing Machine Learning in Production

AWS MLOps: Data Pipeline Automation and Optimization

AWS MLOps: Deploying Machine Learning Models in Production

AWS Machine Learning Specialty Exam Prep: Modeling Domain

Data Science and Machine Learning Fundamentals

Machine Learning Model Deployment with Flask

MLOps Engineering Fundamentals: Associate Exam and Career Prep

MLOps Foundations: Managing the Machine Learning Lifecycle

Data Science Foundations: A Modern Practical Guide

Practical Machine Learning and Model Deployment

Production Machine Learning: Designing and Deploying ML Systems

Machine Learning with Spark ML: Building Scalable Models

MLOps and Machine Learning with Databricks REST API

Neo4j Graph Data Science: Node Classification Pipelines