Author : Milecia McGregor
Duration : 8h 14m
Type of distributed material : Video lesson
Language : English + subtitles
Description :
8+ hours of video instruction
Prerequisites:
Familiarity with building ML models in Python and managing data in AWS S3 buckets. Also, familiarity with Git and GitHub
Description:
This master class includes the following courses:
• Learn MLOps for Machine Learning
• Securing Your DevOps Pipelines
Learn MLOps for Machine Learning - With both machine learning and DevOps at the forefront these days, Milecia McGregor helps engineers understand how to apply key DevOps principles to their machine learning projects.
When teams are working with machine learning models, changing features, different data sets, new algorithms, and unique computing resources all influence a machine learning model’s performance. Tracking all of these items can be complicated. With tools such as DVC, MLFlow, AWS, you can meet the challenge. Milecia McGregor demonstrates how to use MLOps tools to improve machine learning and automate some of the steps in the process.
In Securing Your DevOps Pipelines: DevSecOps Best Practices, Milecia covers how DevSecOps improves upon regular DevOps pipelines. She covers the tools and methodologies you can use to bring DevSecOps to your organization. By the end of the course, you will know how to build a DevSecOps pipeline and how to integrate different tools to handle the OWASP Top Ten, as well as compliance checks to stay up to date with regulations like HIPAA, PCI, and GDPR.
https://pixeldrain.com/u/62hrt5dX
