Machine Learning Pipelines Courses and Certifications

Amazon Web Services;  Amazon

AWS Foundations: How Amazon SageMaker Can Help

Explore Amazon SageMaker's role in machine learning pipelines, data formats, and model training. Learn to leverage key features for efficient ML workload management and automation.

• AWS Skill Builder
• Self-Paced
• Free Certificate

Data Science with Scala

Learn to leverage Apache Spark™ with Scala for Big Data analytics, including machine learning pipelines and hyperparameter optimization in a cluster environment.

• Cognitive Class
• 6 hours
• Self-Paced
• Free Online Course

Self Service ML Pipelines Using Dataprep and AutoML Tables

In this lab you will learn how to use Dataprep in conjunction with AutoML Tables to build and operate your machine learning pipelines.

• Google Skills
• 1-2 hours
• Self-Paced
• Paid Course

Orchestrating a TFX Pipeline with Airflow

In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.

• Google Skills
• 1-2 hours
• Self-Paced
• Paid Course

ML Pipelines on Google Cloud

Learn to build and manage ML pipelines using TensorFlow Extended, Cloud Composer, and MLflow. Explore automation, reusability, and lifecycle management across multiple frameworks on Google Cloud.

• Google Skills
• 2 hours 15 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Exam Prep Standard Course: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)

Prepare for AWS Certified Machine Learning Engineer - Associate exam with comprehensive coverage of data preparation, model development, deployment, and solution monitoring on AWS.

• AWS Skill Builder
• 5 hours 30 minutes
• Self-Paced
• Free Certificate

University of Tübingen

Statistical Machine Learning

2 ratings

Comprehensive exploration of machine learning concepts, from basic algorithms to advanced topics like kernels, dimensionality reduction, and clustering, with insights on societal impact and practical applications.

• YouTube
• 1 day 9 hours
• Self-Paced
• Free Online Course

Machine Learning Pipelines con K3s y Argo

Aprende a implementar pipelines de Machine Learning utilizando K3s y Argo, optimizando el flujo de trabajo en entornos cloud-native.

• YouTube
• 38 minutes
• Self-Paced
• Conference Talk

MLOps Automation with Git Based CI-CD for ML

1 rating

Explore MLOps automation using Git-based CI/CD for ML, covering challenges, collaboration, and streamlined deployment with cloud-native tools and Kubernetes.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Krish Naik

Build RAG Pipeline From Scratch - Data Ingestion to Vector DB Pipeline - Part 1

Master building RAG pipelines from scratch using LangChain - cover data ingestion, preprocessing, embeddings, and vector database storage for powerful AI applications.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

TensorFlow

TensorFlow Extended - TFX Overview and Pre-Training Workflow

Explore TensorFlow Extended's pre-training workflow, focusing on data validation and transformation for robust machine learning pipelines. Learn key components and best practices for efficient ML development.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Bryan Cafferky

The Azure Machine Learning Service - Introduction

Explore Azure ML Service's features for scaling, automating, and deploying machine learning pipelines. Learn how it enhances the data science process and addresses key challenges.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

MLOps.community

Automating Data Annotation with Large Language Models - Workshop 1

1 rating

Explore techniques for automating data annotation using Large Language Models. Learn workflows, result interpretation, validation, and integration into machine learning pipelines for efficient model finetuning.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Kode Kloud

Kubeflow Explained for Beginners

Discover how to deploy and manage ML models at scale with Kubeflow and Kubernetes, covering infrastructure setup, workflow architecture, and automated hyperparameter tuning with Katib.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Databricks

Let the LLM Write the Prompts - An Introduction to DSPy in Compound AI Pipelines

Discover how DSPy simplifies LLM integration in production pipelines by automating prompt creation and management, demonstrated through a geospatial conflation use case.

• YouTube
• 31 minutes
• Self-Paced
• Free Video