Seldon Core Courses and Certifications

USENIX

Observability in the MLOps Lifecycle with Prometheus

Explore MLOps monitoring with Prometheus, covering ML deployment challenges, data drift, and model metrics. Learn to enhance existing systems and integrate with tools like Flyte, Seldon Core, and FastAPI.

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

Prometheus in the MLOps Lifecycle

Explore Prometheus for monitoring ML deployments, addressing data drift, concept drift, and model metrics. Learn to enhance existing setups and integrate with Flyte, Seldon Core, or FastAPI.

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

Scaling Open Source ML: How Wolt Uses Kubernetes to Deliver Great Food to Millions

Discover how Wolt leverages Kubernetes and open-source frameworks to scale machine learning operations, addressing challenges in forecasting, recommendations, and delivery time predictions for millions of users.

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

Accelerating High-Performance Machine Learning at Scale in Kubernetes

Hands-on guide for deploying optimized machine learning models in cloud native ecosystems, focusing on GPT-2 NLP model deployment in Kubernetes using ONNX Runtime and Seldon Core Triton server.

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

Automated Machine Learning Performance Evaluation

Explore automated ML performance evaluation using cloud-native tools. Learn benchmarking concepts, parameters, and hands-on examples with Argo, Kubernetes, and Seldon Core for optimal model deployment.

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

Toronto Machine Learning Series (TMLS)

Productionizing ML Models for Online Shopping at Loblaws

Explore ML model productionization for online shopping, covering microservices, CI pipelines, AB testing, and cloud-based implementation using tools like Seldon Core.

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

MLOps World: Machine Learning in Production

Introduction to Building ML Microservices - A Hands-On Approach with Music Industry Examples

Build ML microservices using MLServer and Seldon Core. Learn to create inference graphs for A/B testing, shadow deployment, and model monitoring with music industry examples.

• YouTube
• 3 hours 19 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Production ML Serving and Monitoring with Kubernetes

Gain insights into building an MLOps deployment platform using Kubernetes, integrating key technologies for serving and monitoring complex deep learning models.

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

MLOps World: Machine Learning in Production

Connecting Data Scientists to Production with the Tempo Python SDK

Prepare and test machine learning models locally, then deploy them to production using Tempo Python SDK. Bridge the gap between data scientists and DevOps for faster, more reliable model deployment.

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

Microservices Tutorials for Beginners

Learn to build and deploy microservices using Spring Boot and Java, with a focus on ML model deployment using Seldon Core.

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