4+ Hours of Video Instruction With both machine learning and Dev Ops at the forefront these days, Milecia Mc Gregor helps engineers understand how to apply key Dev Ops 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 models performance. Tracking all of these items can be complicated.
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8+ Hours of Video Instruction Overview: This master class includes the following courses: Learn MLOps for Machine Learning Securing Your Dev Ops Pipelines With both machine learning and Dev Ops at the forefront these days, Milecia Mc Gregor helps engineers understand how to apply key Dev Ops principles to their machine learning projects in Learn MLOps for Machine Learning.
4+ Hours of Video Instruction There is a rapid evolution occurring in machine learning with tools like Auto ML that basically automate many of the tedious aspects of machine learning and allow developers to focus on getting results into production.
4+ Hours of Video Instruction Learn the techniques and approaches to successfully pass the AWS Certified Machine Learning - Specialty Exam with hands-on exercises. Getting the AWS Certified Machine Learning - certification highlights your versatility as an ML engineer. Usually, ML engineers focus on handling data and building models, so if you know can use cloud tools, it makes you an even more valuable as an MLOps engineer.
5+ Hours of Video Instruction Code-along sessions move you from introductory machine learning concepts to concrete code. Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond nodding along in discussion to coding machine learning tasks.
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