Machine Learning Pipelines Courses and Certifications

Learn to create production-grade ML pipelines using scikit-learn, turning complex workflows into interpretable, reproducible processes for efficient deployment and user interaction.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Open Data Science

Building Real-Time ML Pipelines the Easy Way

Learn to build real-time ML pipelines for fraud prediction, predictive maintenance, and customer churn prevention. Explore challenges, solutions, and best practices for handling high-velocity data and triggering actions in seconds.

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

TensorFlow

TensorFlow Extended - Machine Learning Pipelines and Model Understanding

Explore TFX for building production-ready ML pipelines. Learn data processing, model analysis, and versioning techniques for large datasets, enhancing your machine learning workflow.

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

TensorFlow

TFX- Production ML Pipelines with TensorFlow

Explore TensorFlow Extended (TFX) for production ML pipelines, covering components, metadata storage, orchestration, and custom implementations for scalable and maintainable machine learning solutions.

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

Building ML Pipelines in JupyterLab Using Elyra - Without Writing Code

Learn to create ML pipelines visually in JupyterLab with Elyra, exploring pipeline properties, components, runtime environments, and remote execution options.

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

Prodramp

A Visual Introduction to Modern and Scalable Machine Learning Pipeline

Visual guide to modern, scalable machine learning pipelines: from data prep to deployment. Covers key stages like training, validation, inference, feature stores, and model registry. Ideal for understanding ML infrastructure evolution.

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

Databricks

MATS Stack for Cross-System Orchestration of Machine Learning Pipelines

Explore the MATS stack for orchestrating ML pipelines across systems, featuring MLFlow, Airflow, Tensorflow, and Spark. Learn how Avast leverages this approach for efficient phishing detection and streamlined ML workflows.

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

Democratization of ML Pipelines and Bringing ML Workflows to Heterogeneous Cloud Native Platforms

Explore advancements in ML pipeline portability using Intermediate Representation, enabling cross-platform compatibility and democratizing ML workflow development with enhanced features and registry protocols.

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

Deploy and Monitor ML Pipelines with Open Source and Free Applications

Learn to deploy and monitor ML pipelines using open-source tools. Automate data refresh, generate forecasts, and set up monitoring dashboards with GitHub Actions, Docker, MLflow, and more.

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

Toronto Machine Learning Series (TMLS)

Towards Observability for Machine Learning Pipelines

Explore end-to-end observability for ML pipelines. Learn about a system that enhances visibility, executes tests, tracks data flow, and enables post-hoc analysis of pipeline health.

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

Writing Machine Learning Pipelines Against Object Storage

Learn to create efficient machine learning pipelines using object storage, optimizing data processing and model deployment for scalable AI solutions.

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

Lessons Learned From Machine Learning Pipelines in Production

Explore practical insights on implementing machine learning pipelines in production environments, focusing on challenges, solutions, and best practices using Kedro framework.

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

Introduction to PySpark

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Deployment of Machine Learning Models

5612 ratings at Udemy

Learn how to integrate robust and reliable Machine Learning Pipelines in Production

• Udemy
• 10 hours 27 minutes
• On-Demand
• Paid Course

A Complete Guide on TensorFlow 2.0 using Keras API

1971 ratings at Udemy

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

• Udemy
• 13 hours 6 minutes
• On-Demand
• Paid Course