PickAClass · 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)

Model Training and Management with Azure Machine Learning

Model Management and Responsible AI in Azure Machine Learning

Data Science and Machine Learning in Fabric

MLOps Foundations: Operationalizing Machine Learning Models

Azure Machine Learning: Model Training and Experimentation

Building Machine Learning Solutions with Azure Databricks

Introduction to MLOps: Designing and Deploying Machine Learning Pipelines

Model Deployment and Consumption in Azure Machine Learning

Model Training Optimization with Azure Machine Learning

Managing Azure Machine Learning Workspaces: Setup and Configuration

Machine Learning with Azure Databricks: Build and Deploy ML Models

Testing and Automating ML Pipelines

Python Scripting for Cloud Workflow Automation

Automating ML Pipelines for Performance with scikit-learn

AutoML Foundations: Build Machine Learning Models Without Code

AWS IoT, Machine Learning, and Blockchain Integration

AWS Machine Learning and MLOps Foundations

AWS Managed AI Services for Application Developers

AWS ML Workflows with SageMaker, Storage, and Security Essentials

AWS Model Training, Optimization, and Deployment

Azure ML Foundations: Deploying, Managing, and Experimenting with Models

Designing and Preparing Azure ML Solutions

Configuring Azure Machine Learning Workspaces for DP-100 Prep

Machine Learning Strategy: Building an ML-Ready Organization