Greg Carmean

Greg is a data scientist and enjoys helping clients solve business problems and improve their processes. Previously, he was a Data Analyst for the US Navy where he led software development efforts for his group. He leveraged data to solve scientific and operational problems and co-led the development and deployment of an analytics product which more than doubled fleet demand for his group’s services.

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Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX) EdX
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Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX)

Unlock the secrets to successful machine learning project deployment with our MLOps2-AWS course. Dive into automating and optimizing your data pipeline using powerful AWS tools. Perfect for data scientists, developers, and IT pros aiming to streamline their ML projects.

Self Paced
Self-Paced
Machine Learning Operations 2 (MLOps2-GCP): Data Pipeline Automation & Optimization using Google Cloud Platform (GCP) (edX) EdX
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Machine Learning Operations 2 (MLOps2-GCP): Data Pipeline Automation & Optimization using Google Cloud Platform (GCP) (edX)

Transform your approach to deploying machine learning models with our comprehensive course on MLOps2-GCP. Dive into the world of data pipeline automation and optimization using Google Cloud Platform (GCP) to ensure smooth, efficient, and successful ML project deployments. Whether you're a data scientist, engineer, or enthusiast, this course will equip you with the essential skills needed to overcome one of the primary challenges in machine learning.

Self Paced
Self-Paced
Machine Learning Operations 2 (MLOps2-AML): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML) (edX) EdX
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Machine Learning Operations 2 (MLOps2-AML): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML) (edX)

Unlock the secrets of successful machine learning project deployment with our MLOps2 course. Specializing in Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML), this course equips you with essential skills for automating your ML pipeline, ensuring efficient model deployment and continuous optimization. Perfect for data scientists and engineers looking to streamline their processes.

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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