Machine Learning Pipelines

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AI Capstone Project with Deep Learning (Coursera) Coursera
IBM

AI Capstone Project with Deep Learning (Coursera)

Dive into the practical application of AI and deep learning with Coursera's 'AI Capstone Project with Deep Learning'. This comprehensive course equips learners with the skills to tackle real-world problems by developing, testing, and presenting a functional deep learning model. Ideal for those who want to translate theoretical knowledge into actionable insights.

Jun 8th 2026
4 Weeks
Machine Learning with Apache Spark (Coursera) Coursera
IBM

Machine Learning with Apache Spark (Coursera)

Embark on a journey into the realm of machine learning with 'Machine Learning with Apache Spark' from IBM. This course is designed to equip learners with essential ML concepts before delving into the advanced capabilities of Apache Spark, enabling them to create and implement powerful machine learning models in real-world data engineering scenarios.

Jun 1st 2026
4 Weeks
Distributed Machine Learning with Apache Spark (edX) EdX
University of California, Berkeley,BerkeleyX

Distributed Machine Learning with Apache Spark (edX)

Embark on a journey into the world of Distributed Machine Learning with our expert-led course, designed for those eager to harness the power of Apache Spark. This course will equip you with the essential principles needed to develop robust machine learning (ML) pipelines that can scale effortlessly with your data. Dive deep into understanding how ML extracts valuable insights from vast datasets and gain practical experience using Apache Spark's powerful capabilities.

No sessions available
4 Weeks
Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX) EdX
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Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX)

Transform your data science project from concept to successful implementation with Machine Learning Operations 1 (MLOps1-AWS). This comprehensive course on edX guides learners through the critical process of deploying AI and ML models using Amazon Web Services (AWS), addressing one of the primary challenges in data science: deployment. Learn how to effectively collaborate between data scientists and engineers, monitor model performance, and iterate for continuous improvement.

Self Paced
Self-Paced
Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX) EdX
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Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX)

Unlock the secrets to successful data science project deployment with our MLOps1 course. Specializing in Microsoft Azure Machine Learning (AML), this course teaches you how to effectively deploy AI & ML models into production, ensuring continuous monitoring and iterative improvements for better performance.

Self Paced
Self-Paced
Machine Learning Operations 1 (MLOps1-GCP): Deploying AI & ML Models in Production using Google Cloud Platform (GCP) (edX) EdX
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Machine Learning Operations 1 (MLOps1-GCP): Deploying AI & ML Models in Production using Google Cloud Platform (GCP) (edX)

Unlock the secrets to successful data science project deployment with our Machine Learning Operations 1 (MLOps1-GCP) course. Specializing in deploying AI & ML models using Google Cloud Platform (GCP), this course equips you with the skills needed to effectively monitor and iterate on model performance, ensuring your projects succeed.

Self Paced
Self-Paced
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