MLOps Courses and Certifications

Data Science Dojo

Putting MLOps into Practice

Streamline your machine learning lifecycle with MLOps best practices, from project initiation to model deployment and monitoring. Learn practical implementation strategies and reference architectures.

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

Pragmatic AI Labs

MLOps Masterclass - Theory to DevOps to Cloud-Native to AutoML

Comprehensive guide to MLOps: from theory to implementation, covering DevOps, cloud-native solutions, and AutoML. Learn to build, deploy, and manage machine learning systems across various platforms and technologies.

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

Pragmatic AI Labs

MLOps Platforms From Zero - Databricks, MLFlow-MLRun-SKLearn

Comprehensive guide to building MLOps platforms using Databricks, AutoML, SKLearn, and AWS. Covers end-to-end process from project setup to model deployment, including CI/CD, experimentation, and containerization.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Free Video

Data Science Dojo

MLOps Crash Course for Beginners

Learn to create and deploy reproducible MLOps pipelines, covering key concepts like continuous training, drift detection, and model deployment for real-world data science value beyond Jupyter notebooks.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Databricks

Unified MLOps: Feature Stores and Model Deployment

Explore a new MLOps approach merging databases, feature stores, and ML for scalable model production. Learn about Splice Machine's hybrid database and its applications in feature engineering and model deployment.

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

Databricks

Building an MLOps Platform with MLflow for Rapid Model Productionalization

Discover how DataSentics built an MLOps platform around MLflow to streamline model productionalization, reducing deployment time to minutes. Learn about real-life experiences, platform demo, and lessons learned.

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

Databricks

State of the Industry - Machine Learning Platforms and MLOps

Explore the state of MLOps and ML platforms with industry leaders, focusing on challenges, common components, and Databricks' approach to unified data analytics and machine learning.

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

The State of Production MLOps in the Cloud Native Ecosystem

Explore production MLOps challenges, best practices, and tools in the Cloud Native ecosystem. Learn key principles for deploying, monitoring, and scaling ML systems effectively.

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

MLOps with Flyte - Challenges and Solutions in Machine Learning Operations

Explore MLOps challenges and solutions using Flyte, an open-source orchestration tool. Learn best practices for efficient ML model development and deployment at scale.

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

Krish Naik

MLOps - Machine Learning Production Grade Deployment Techniques - One-Shot Tutorial

Learn MLOps techniques for production-grade machine learning deployment across AWS and Azure platforms, including Elastic Beanstalk, EC2, Web Apps, and Docker with GitHub Actions.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Video

Canonical Ubuntu

Kubeflow vs MLFlow: Comparing Open-Source MLOps Platforms

Compare Kubeflow and MLFlow for MLOps, exploring their similarities, differences, and selection criteria. Gain insights into open-source machine learning operations and Canonical's solutions.

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

Canonical Ubuntu

Introduction to Machine Learning Operations (MLOps)

Explore MLOps practices for efficient ML model deployment and maintenance. Learn about Charmed Kubeflow and how to choose the right solution for your AI/ML projects.

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

MLOps.community

LLM Evaluation: Challenges and Best Practices - MLOps Podcast #210

Explore LLM evaluation complexities, Phoenix library's role, and customized assessments in AI applications. Gain insights on fine-tuning, model selection, and production deployment for effective AI implementation.

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

MLOps.community

All the Hard Stuff with LLMs in Product Development - MLOps Podcast #170

Explore challenges in LLM implementation, including security concerns and ROI measurement. Learn strategies for successful AI initiatives from an industry expert's perspective.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

MLOps.community

Declarative MLOps: Streamlining Model Serving on Kubernetes

Explore declarative MLOps on Kubernetes for streamlined model serving. Learn containerization, CI/CD with GitOps, and best practices for scalable, high-velocity ML deployments using native K8s operators.

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