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Free Online Course: MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning provided by edX is a comprehensive online course, which lasts for 4 weeks long, 5-7 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning is taught by John Elder, IV, Peter Bruce, Shree Taylor, Bryce Pilcher, Allison Marrs, Ramzi Ziade, Greg Carmean, LeAnna Kent, Henry Mead, Kuber Deokar and Janet Dobbins.

Free Online Course: MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services provided by edX is a comprehensive online course, which lasts for 4 weeks long, 5-7 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services is taught by John Elder, IV, Peter Bruce, Shree Taylor, Bryce Pilcher, Allison Marrs, Ramzi Ziade, Greg Carmean, LeAnna Kent, Henry Mead, Kuber Deokar and Janet Dobbins.

Free Online Course: MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform provided by edX is a comprehensive online course, which lasts for 4 weeks long, 5-7 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform is taught by John Elder, IV, Peter Bruce, Shree Taylor, Bryce Pilcher, Allison Marrs, Ramzi Ziade, Greg Carmean, LeAnna Kent, Henry Mead, Kuber Deokar and Janet Dobbins.

Free Online Course: MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning provided by edX is a comprehensive online course, which lasts for 4 weeks long, 5-7 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning is taught by Peter Bruce, Evan Wimpey, Vic Diloreto, Laura Lancheros, Greg Carmean, Bryce Pilcher, Kuber Deokar and Janet Dobbins.

Free Online Course: MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services provided by edX is a comprehensive online course, which lasts for 4 weeks long, 5-6 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services is taught by Peter Bruce, Evan Wimpey, Vic Diloreto, Laura Lancheros, Greg Carmean, Kuber Deokar and Janet Dobbins.

Free Online Course: MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform provided by edX is a comprehensive online course, which lasts for 4 weeks long, 5-6 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform is taught by Peter Bruce, Evan Wimpey, Vic Diloreto, Laura Lancheros, Greg Carmean, Bryce Pilcher, Kuber Deokar and Janet Dobbins.

Machine Learning Operations with Microsoft Azure (MLOps with Azure) provided by edX is a comprehensive online course, which lasts for 12 weeks long, 5-7 hours a week. Machine Learning Operations with Microsoft Azure (MLOps with Azure) is taught by Evan Wimpey, Vic Diloreto, Laura Lancheros, Greg Carmean, Kuber Deokar, Janet Dobbins, John Elder, IV, Shree Taylor, Bryce Pilcher, Allison Marrs, Ramzi Ziade, LeAnna Kent, Henry Mead, Peter Bruce, Veronica Carlan and Jericho McLeod. Upon completion of the course, you can receive an e-certificate from edX. The course is taught in Englishand is $447.00. Visit the course page at edX for detailed price information.

Machine Learning Operations with Amazon Web Services (MLOps with AWS) provided by edX is a comprehensive online course, which lasts for 12 weeks long, 5-6 hours a week. Machine Learning Operations with Amazon Web Services (MLOps with AWS) is taught by Evan Wimpey, Vic Diloreto, Laura Lancheros, Greg Carmean, Kuber Deokar, Janet Dobbins, John Elder, IV, Shree Taylor, Bryce Pilcher, Allison Marrs, Ramzi Ziade, LeAnna Kent, Henry Mead, Peter Bruce, Veronica Carlan and Jericho McLeod. Upon completion of the course, you can receive an e-certificate from edX. The course is taught in Englishand is $446.00. Visit the course page at edX for detailed price information.

Machine Learning Operations with Google Cloud Platform (MLOps with GCP) provided by edX is a comprehensive online course, which lasts for 12 weeks long, 5-6 hours a week. Machine Learning Operations with Google Cloud Platform (MLOps with GCP) is taught by Evan Wimpey, Vic Diloreto, Laura Lancheros, Greg Carmean, Kuber Deokar, Janet Dobbins, John Elder, IV, Shree Taylor, Bryce Pilcher, Allison Marrs, Ramzi Ziade, LeAnna Kent, Henry Mead, Peter Bruce, Veronica Carlan and Jericho McLeod. Upon completion of the course, you can receive an e-certificate from edX. The course is taught in Englishand is $447.00. Visit the course page at edX for detailed price information.

Free Online Course: Principles of Data Science Ethics provided by edX is a comprehensive online course, which lasts for 4 weeks long, 4-5 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. Principles of Data Science Ethics is taught by Peter Bruce, Grant Fleming, Veronica Carlan, Kuber Deokar and Janet Dobbins.