MLOps Tutorial 2023 - Learn MLOps Online for Free

Introduction to MLOps and Its Importance

Challenges in ML Model Development and Deployment

Key Principles of MLOps (Machine Learning Operations)

Introduction to Git and GitHub - MLOPs

Best Practices for Version Controlling ML Projects

Branching and Merging Strategies in MLOPs

Managing Data and Model Artifacts with Git LFS

Introduction to Docker and Containerization in MLOPs

Building Docker Images for ML Applications

Running Docker Containers Locally and on the Cloud - MLOPs

Best Practices for Containerization of ML Applications

CI/CD for Machine Learning

Setting up a CI/CD Pipeline Using Jenkins

Automated Testing and Validation of ML Models

ML Models Deployment in Kubernetes

Importance of MLOPs Monitoring and Logging

Setting up Monitoring and Logging Infrastructure

Defining Metrics and Alerts for ML models

Visualizing and Analyzing Model Performance

Introduction to Distributed Computing for ML

Setting up a Distributed ML Environment with Apache Spark

Scaling ML workloads: Docker Swarm vs Kubernetes

Best Practices for Scaling ML Workloads

Overview of Ethical Considerations of MLOps

Bias and Fairness in Machine Learning Models

MLOps Security and Privacy Considerations

Implementing Ethical Guidelines in MLOps