DVC Courses and Certifications

Toronto Machine Learning Series (TMLS)

DVC: Data Versioning and ML Experiments on Top of Git

Explore data versioning and ML experiment tracking with DVC, integrating code, data, and models in Git repositories for efficient ML workflow management.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

ML Experimentation with DVC and VS Code

Manage and reproduce ML projects using DVC and VS Code. Track datasets, run experiments, compare results, and visualize outcomes efficiently.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Data Science Conference

Build End-to-End MLOps Platform with Open Source DVC Ecosystem

Master MLOps platform development using DVC ecosystem for data versioning, experiment tracking, and CI/CD pipeline automation. Learn practical implementations across various industries and ML applications.

• YouTube
• 2 hours 10 minutes
• On-Demand
• Free Video

Introduction to Data Versioning with DVC

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

• DataCamp
• 3 hours
• On-Demand
• Free Trial Available

Machine Learning in Production in Python

Elevate your machine learning skills to production level with this focused skill track.

• DataCamp
• 19 hours
• On-Demand
• Free Trial Available

Krish Naik

End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik

Comprehensive guide to building and deploying a deep learning project for chicken disease classification using MLOps tools, DVC pipeline, and cloud platforms Azure and AWS.

• YouTube
• 3 hours 51 minutes
• On-Demand
• Free Video

Krish Naik

End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment

Comprehensive deep learning project on kidney disease classification, covering data ingestion, model preparation, training, evaluation, MLflow integration, DVC pipeline, and AWS deployment.

• YouTube
• 4 hours 6 minutes
• On-Demand
• Free Video

EuroPython Conference

Automating Machine Learning Workflow with DVC

Discover how to automate and streamline machine learning workflows using DVC, from data ingestion to model deployment. Learn to organize pipelines efficiently, regardless of project size.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

MLOps Zero to Hero

1207 ratings at Udemy

Learn Production-Grade MLOps using DVC, MLFlow, AWS, Docker, Kubernetes, KServe, SageMaker and Kubeflow.

• Udemy
• 12 hours 20 minutes
• On-Demand
• Paid Course

Learn MLOps for Machine Learning

Discover how to streamline ML workflows with DVC, MLFlow, and AWS tools for tracking experiments, versioning data, and automating model deployment processes.

• Coursera
• 6 hours 39 minutes
• On-Demand
• Paid Course

Coursera

Track and Evaluate ML Model Experiments

Master systematic ML experiment tracking with DVC and Weights & Biases to build reproducible, auditable workflows that eliminate "it worked on my machine" problems.

• Coursera
• 2 hours 57 minutes
• On-Demand
• Paid Course

Coursera

Testing and Refining LLM Applications

Master Test-Driven Development and MLOps practices to build production-ready LLM applications with robust safety guardrails and automated testing workflows.

• Coursera
• 12 hours 56 minutes
• On-Demand
• Paid Course

Databricks

Data Versioning and Reproducible ML with DVC and MLflow

Learn to enhance ML reproducibility using DVC and MLflow. Explore data versioning, model tracking, and artifact management for efficient ML development and deployment.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Venelin Valkov

Reproducible Machine Learning and Experiment Tracking Pipeline with Python and DVC

Learn to build reproducible machine learning pipelines using Python and DVC. Track experiments, manage data versions, and compare model metrics for improved ML workflow efficiency.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Visual Studio Code

Machine Learning Experimentation in VS Code with DVC Extension

Learn to manage and reproduce machine learning projects using DVC and its VS Code extension. Track datasets, models, and experiments, with visualization and comparison features right in your development environment.

• YouTube
• 38 minutes
• On-Demand
• Free Video