Machine Learning Pipelines Courses and Certifications

Deployment of Machine Learning Models

5316 ratings at Udemy

Learn to integrate machine learning models into production with this comprehensive 10-hour course. Gain skills in building APIs, deploying models to the cloud, designing testable code, and mitigating deployment challenges.

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

A Complete Guide on TensorFlow 2.0 using Keras API

1943 ratings at Udemy

Master TensorFlow 2.0 and Keras API in a 13-hour course. Learn to build AI applications, implement various neural networks, create a stock market trading bot, and put models into production.

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

Microcredential

AI for Scientific Research

LearnQuest's 17-week course explores AI for scientific research, covering Python for data science, machine learning models, advanced AI techniques, and a capstone project on genome sequencing for drug discovery.

• Coursera
• 17 weeks, 3 hours a week
• On-Demand
• Paid Course
• 4 courses

AWS SageMaker Complete Course| PyTorch & Tensorflow NLP-2022

106 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
• On-Demand
• Paid Course

Google Cloud;  Google

ML Pipelines on Google Cloud

76 ratings at Coursera

Learn to develop ML pipelines on Google Cloud with TensorFlow Extended (TFX), automate pipelines, manage ML metadata, and use MLflow for lifecycle management in this 4-week advanced course.

• Coursera
• 10 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning with Apache Spark

58 ratings at Coursera

Dive into machine learning with this 4-week IBM course. Learn ML fundamentals, use Apache Spark for data engineering, and gain hands-on experience with SparkML. Suitable for data engineers and analysts.

• Coursera
• 15 hours 4 minutes
• On-Demand
• Free Online Course (Audit)

Orchestrating a TFX Pipeline with Airflow

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

University of Tübingen

Statistical Machine Learning

1 review

Statistical Machine Learning 2020. Part 1: Machine learning and inductive bias. Part 2: Warmup: The kNN Classifier. Part 3: Formal setup, risk, consistency. Part 4: Bayesian decision theory. Part 5: The Bayes classifier.

• YouTube
• 1 day 9 hours
• On-Demand
• Free Online Course

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

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

Learn how to build machine pipelines! Pipelines help turn buly and unwieldy machine learning workflows into shorter, interpretable, and reproducible processes that can be deployed to users. This course walks you though the major stages of building a pipe…

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

Extreme Gradient Boosting with XGBoost

30 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

Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure

27 ratings at Pluralsight

This course is for data pros, developers, and IT pros with different areas of responsibility who need to collaborate effectively on data science projects and iteratively develop repeatable, high-quality machine learning models in Microsoft Azure.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

AWS Foundations: Machine Learning Basics

In this course, you get an overview of the concepts, terminology, and processes of the exciting field of machine learning!

• Pluralsight
• On-Demand
• Free Trial Available