Machine Learning Engineer for Microsoft Azure ($147k salary)

ML & Cloud colleagues, strengthen your machine learning skills and build practical experience by training, validating, and evaluating models with this Machine Learning Engineer for Microsoft Azure nanodegree program. According to Indeed the average MLE for MS Azure earns over $146k USD per year. The training modules - each with their own project - are the core of this program: 1)  Using Azure Machine Learning: Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure (Project: Optimizing an ML Pipeline in Azure), 2) Machine Learning Operations: Operationalizing machine learning, from selecting the appropriate targets for deploying models, to enabling Application Insights, identifying problems in logs, and harnessing the power of Azure’s Pipelines (Project: Operationalizing Machine Learning). and 3) Capstone Project: The program capstone gives you the opportunity to use the knowledge you have obtained from this Nanodegree program to solve an interesting problem. You will have to use Azure’s Automated ML and HyperDrive to solve a task (Project: Training and Deploying an ML Model in Azure). This program comes with an Experienced Project Reviewers, Technical Mentor Support and Personal Career Coach.

Register today (individuals & teams): https://fxo.co/AGNS 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)