Machine Learning Pipelines Courses and Certifications

GitOps for Machine Learning Pipelines

Explore GitOps for ML pipelines using Kubeflow on Kubernetes. Learn to leverage GitOps for training, inference, monitoring, and testing in ML lifecycles, with a demo on deploying Kubeflow components via Argo CD.

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

Building Dynamic Machine Learning Pipelines with KubeDirector

Learn to build dynamic ML pipelines using KubeDirector on Kubernetes. Explore a taxi ride prediction example, from model training to deployment, and discover how KubeDirector's "Connections" feature enables always up-to-date ML models.

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

Toronto Machine Learning Series (TMLS)

Serverless for Machine Learning Pipelines

Explore serverless architecture for ML/DL deployment, utilizing AWS services to organize scalable and affordable deep learning workflows for efficient model training and operationalization.

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

Toronto Machine Learning Series (TMLS)

Building Machine Learning Pipelines in Airflow with Jupyter Notebooks

Learn to develop scalable, end-to-end machine learning pipelines using Jupyter Notebooks and Airflow. Explore parameterization with Papermill for efficient, maintainable ML workflows in financial services.

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

Transform Your Machine Learning Pipelines with Apache Hudi

Optimize ML pipelines on data lakes with Apache Hudi. Learn to tackle challenges, leverage upserts, incremental processing, and near real-time access for efficient, up-to-date machine learning models and analytics.

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

The Machine Learning Engineer

Neo4J GDS: Machine Learning Node Classification Pipelines

Crea pipelines de clasificación de nodos con Neo4J y Graph Data Science Library para aprender técnicas avanzadas de machine learning en grafos.

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

BSidesLV

Incubated Machine Learning Exploits: Backdooring ML Pipelines Using Input-Handling Bugs

Explore vulnerabilities in ML pipelines through input-handling bugs, introducing incubated ML exploits and backdoors. Learn about security implications and guidelines for ML practitioners.

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

MLOps World: Machine Learning in Production

Creating Machine Learning Retraining Pipelines with Kubeflow and Kubernetes

Develop ML retraining pipelines using Kubernetes and Kubeflow. Master advanced techniques for efficient model updates and deployment in production environments.

• YouTube
• 2 hours 5 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Hands-on Workshop: Create Machine Learning Retraining Pipelines

Develop ML retraining pipelines using Kubernetes and Kubeflow. Master advanced techniques for efficient model updates and deployment in production environments.

• YouTube
• 2 hours 22 minutes
• On-Demand
• Free Video

Databricks

Scaling Data Engineering Pipelines - Preparing Credit Card Transactions Data for Machine Learning

Discover how to build stable petabyte-scale data pipelines using Delta Lake and Workflows, achieving 80% faster queries and reducing processing time from months to days.

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

Conf42

AI-Driven ETL Evolution - Building Intelligent Data Pipelines with Machine Learning

Explore AI-enhanced ETL pipelines with intelligent extraction, ML-powered transformation, and self-healing capabilities for modern data processing challenges.

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

JuliaHub

Deploying Trained Machine Learning Pipelines Behind a Webserver with Dashboards.jl

Discover how to deploy trained machine learning models using Dashboards.jl, enabling network accessibility and scaling for larger deployments with practical examples and implementation tips.

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

Data Council

Testing Models and Data in CI/CD Pipelines for Machine Learning

Explore best practices for testing ML models in CI/CD pipelines. Learn to validate models and data using deepchecks, addressing common pitfalls and ensuring continuous relevance and trustworthiness.

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

DEFCONConference

Incubated ML Exploits: Backdooring Machine Learning Pipelines with Input Handling Bugs

Explore machine learning pipeline vulnerabilities and learn to identify, exploit, and defend against model backdoors through input handling bugs and systematic security approaches.

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

Machine Learning Pipelines

Explore advanced house price prediction through data analysis, feature engineering, and selection techniques for improved model accuracy.

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