MLOps Courses and Certifications

MLOps Course – Build Machine Learning Production Grade Projects

Learn end-to-end MLOps, from data ingestion to deployment, using tools like ZenML and MLflow. Build a customer satisfaction project with hands-on experience in pipeline creation, model development, and deployment.

• freeCodeCamp
• 3 hours 1 minute
• On-Demand
• Free Video

Ubuntu OnAir

Move Data Science Beyond Experimentation with MLOps Platforms

Explore MLOps platforms to streamline data science workflows, automate tasks, and enhance collaboration. Learn best practices for efficient AI project delivery using real-world datasets.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Explore MLOps tools and best practices for deploying, evaluating, and monitoring ML systems on Google Cloud, with hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.

• Google Cloud Skills Boost
• 8 hours
• On-Demand
• Paid Course

MLOps: Why DevOps Solutions Fall Short in the Machine Learning World

Explore MLOps challenges, differences from DevOps, and solutions for efficient machine learning development. Learn about GitLab's approach and the emerging field of LLMOps.

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

Machine Learning Operations (MLOps) for Generative AI

Uncover unique MLOps challenges for Generative AI models and explore how Vertex AI streamlines processes, empowering AI teams to achieve success in Generative AI projects.

• Google Cloud Skills Boost
• 30 minutes
• On-Demand
• Free Online Course

Flyte - Production-Grade Data and Machine Learning Orchestration

Explore Flyte, an open-source platform for scalable, repeatable, and maintainable data and machine learning orchestration, addressing key challenges in MLOps and data processing.

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

Bringing CI/CD Practices to Machine Learning with MLOps

Learn how to apply CI/CD practices to machine learning pipelines, enhancing model development from data exploration to deployment for better, faster results in MLOps.

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

Toronto Machine Learning Series (TMLS)

The Missing Piece of MLOps: Observability in Machine Learning Applications

Explore ML observability's role in MLOps, learn to prepare for it, and discover how it showcases business value and recognizes data scientists' work.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

A Guide to Putting Together a Continuous ML Stack

Implement continuous ML training by automating pipelines, detecting performance issues, and triggering model updates with fresh data for improved MLOps maturity.

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

Toronto Machine Learning Series (TMLS)

Bringing an AI System from Proof of Concept to Deployment

Learn to create production-grade AI systems: from MVP to scaling, performance tuning, and MLOps. Gain insights on hardware sizing, latency optimization, and avoiding common pitfalls.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

De-Risk Your AI Efforts by Removing Friction From Your MLOps Processes

Remove friction from MLOps processes to deliver trusted, agile, and controlled AI models faster. Learn strategies to overcome industrialization challenges and accelerate value delivery from analytics.

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

Toronto Machine Learning Series (TMLS)

MLOps and Automation Workshop - Bringing Machine Learning to Production in a Few Easy Steps

Learn to deploy ML/AI to production faster using MLOps technologies. Explore automation techniques and best practices for efficient machine learning operations.

• YouTube
• 2 hours 1 minute
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

AI Inference Workloads - Solving MLOps Challenges in Production

Overcome MLOps challenges in production inference workloads. Learn strategies for improving throughput, reducing latency, and maximizing GPU utilization in AI deployments.

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

Toronto Machine Learning Series (TMLS)

Minimize Risk and Accelerate MLOps with ML Monitoring and Explainability

Discover strategies to minimize risk and accelerate MLOps through ML monitoring and explainability. Learn to efficiently monitor, troubleshoot, and document ML models for improved performance and compliance.

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

Toronto Machine Learning Series (TMLS)

MLOps Without Much Ops - Building Efficient Machine Learning Systems

Discover modern, no-nonsense data pipelines for efficient machine learning systems. Learn PaaS advantages and explore real-world applications with open-source code. Gain insights on ML's future for organizations of all sizes.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video