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

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

MLOps Pipeline with Python, AWS, Docker - YouTube Viewer Sentiment

Master building end-to-end MLOps pipelines for real-time YouTube sentiment analysis using Python, AWS, Docker, MLflow, and DVC with Chrome extension deployment.

• freeCodeCamp
• 2 hours 51 minutes
• On-Demand
• Free Video

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

Open Source Tools for ML Experiments Management

Explore ML workflow management tools, focusing on DVC for efficient data and model handling in AI projects. Learn about versioning, metrics visualization, and addressing unique ML development challenges.

• YouTube
• 37 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

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

Toronto Machine Learning Series (TMLS)

10X Faster Machine Learning: From R&D to Production

Supercharge ML experimentation with PyTorch Lightning and DVC, and streamline production using Kubeflow. Learn to overcome challenges in complex ML model development and deployment.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Adapting Continuous Integration and Continuous Delivery for Machine Learning

Explore MLOps practices for managing ML complexity, adapting CI/CD workflows using Git, GitHub Actions, and DVC to balance experimentation with stability in production.

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

MLOps World: Machine Learning in Production

Data Versioning in Generative AI - A Pathway to Cost-effective Machine Learning

Explore data versioning strategies for generative AI, focusing on cost-effective techniques to minimize processing time and API calls while enhancing collaboration and efficient versioning of annotations and embeddings.

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

MLOps World: Machine Learning in Production

Applying GitOps Principles in End-to-End MLOps Projects - Interactive Workshop

Implement GitOps principles in MLOps using DVC to create an end-to-end pipeline centered around a git repository as the single source of truth.

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

MLOps World: Machine Learning in Production

Data Versioning in Generative AI: A Pathway to Cost-Effective ML

Explore data versioning strategies for Generative AI, focusing on managing large-scale unstructured data and optimizing resource usage in model scoring and API interactions.

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

MLOps World: Machine Learning in Production

Using Reproducible Experiments to Create Better Machine Learning Models

Enhance ML model efficiency through reproducible experiments. Learn to track hyperparameter, code, and data changes using DVC for grid and random search tuning methods.

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