Machine Learning Pipelines Courses and Certifications

MLOps World: Machine Learning in Production

Leveraging LLMs to Build Mixed-Data ML Pipelines and Search GitHub with Natural Language

Discover how to integrate LLMs into production ML pipelines combining structured and unstructured data, with techniques for real-time feature engineering, latency optimization, and scaled retrieval systems.

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

Coursera

Machine Learning Pipelines with Azure ML Studio

826 ratings at Coursera

Build end-to-end machine learning pipeline in Azure ML Studio using Adult Income Census data to predict income levels. Train, evaluate, and deploy a Two-Class Boosted Decision Tree classifier as a web service.

• Coursera
• 1 hour 48 minutes
• On-Demand
• Paid Course

Extreme Gradient Boosting with XGBoost

34 ratings at DataCamp

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

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

Foundations of PySpark

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

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

Data Processing in Shell

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

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

Transforming Jupyter Notebooks to Reproducible Machine Learning Pipelines with Kale

Learn to convert Jupyter notebooks into scalable Kubeflow pipelines using Kale, enabling seamless deployment of ML workflows on Kubernetes for improved reproducibility and efficiency.

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

The Machine Learning Engineer

Azure ML: Pipelines with Python SDK for Data Science and Machine Learning

Create ML pipelines with Azure Machine Learning Studio's Python SDK for efficient data science and machine learning workflows on Azure.

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

Canonical Ubuntu

Building Machine Learning Pipelines with Kubeflow

Master building ML pipelines using Kubeflow's components, from key considerations to best practices, and learn effective implementation strategies for scaling machine learning projects.

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

Building Reusable Pipeline Functions

Discover how to build modular MLOps pipeline components for data processing, model training, evaluation, and persistence that form the foundation for automated ML workflows.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Automating ML Workflows with SageMaker Pipelines

Master automated ML workflows by building robust SageMaker Pipelines that connect data processing, training, evaluation, and deployment into repeatable, monitored systems.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Deployment of Machine Learning Models

5888 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

2004 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

Google Cloud Professional Machine Learning Engineer Cert Prep: 5 Automating and Orchestrating ML Pipelines

8 ratings at LinkedIn Learning

Learn about automating and orchestrating ML pipelines in preparation for the Google Professional Machine Learning Engineer certification exam.

• LinkedIn Learning
• 51 minutes
• On-Demand
• Free Trial Available

Amazon Web Services;  Amazon

Lab - Orchestrate a Machine Learning Workflow using Amazon SageMaker Pipelines and SageMaker Model Registry

Automate ML workflows with SageMaker Pipelines, covering data processing, model training, evaluation, and deployment. Learn to use the model registry for versioning and managing trained models.

• AWS Skill Builder
• 1 hour
• On-Demand
• Paid Course

AWS SageMaker Complete Course| PyTorch & Tensorflow NLP-2023

129 ratings at Udemy

Build DL/ML model in Sklearn,Tensorflow/Keras & PyTorch. How to bring docker container&Algorithm from local to Sagemaker

• Udemy
• 5 hours 29 minutes
• On-Demand
• Paid Course