Shelbee Eigenbrode

Shelbee Eigenbrode is a Principal AI and Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS). She holds 6 AWS certifications and has been in technology for 23 years spanning multiple industries, technologies, and roles. She is currently focusing on combining her DevOps and ML background to deliver and manage ML workloads at scale. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. Shelbee co-founded the Denver chapter of Women in Big Data.

Coursera

DeepLearning.AI

Generative AI with Large Language Models (Coursera)

Robotics & Computer Vision

Discover the transformative world of Generative AI through our in-depth course, 'Generative AI with Large Language Models'. This course is designed for those eager to understand how generative artificial intelligence works and how to harness its potential in practical applications. Whether you're a developer, data scientist, or simply curious about AI's capabilities, this course will equip you with the knowledge needed to innovate.

Jun 1st 2026

3 Weeks

Machine Learning Python Programming Large Language Models

Coursera

DeepLearning.AI,AWS

Analyze Datasets and Train ML Models using AutoML (Coursera)

Data Science

Dive into the world of Practical Data Science with our specialized course designed to equip you with essential skills in analyzing datasets, employing automated machine learning techniques, and training sophisticated ML models. This course focuses on foundational concepts such as exploratory data analysis (EDA), AutoML, and text classification algorithms, providing hands-on experience with Amazon SageMaker Clarify and Data Wrangler tools.

Mar 25th 2024

4 Weeks

EDA Exploratory Data Analysis Bias

Coursera

DeepLearning.AI,AWS

Build, Train, and Deploy ML Pipelines using BERT (Coursera)

Data Science

Dive into the world of Natural Language Processing (NLP) with our specialized course on Building, Training, and Deploying ML Pipelines using BERT. This course is designed for data scientists and enthusiasts looking to harness the capabilities of Amazon SageMaker and Hugging Face's BERT algorithm to automate complex tasks and create efficient machine learning pipelines.

Mar 25th 2024

3 Weeks

Debugging Machine Learning Artifacts

Coursera

DeepLearning.AI,AWS

Optimize ML Models and Deploy Human-in-the-Loop Pipelines (Coursera)

Data Science

Dive into the world of advanced machine learning optimization and deployment with our 'Optimize ML Models and Deploy Human-in-the-Loop Pipelines' course. This course is designed for data scientists and practitioners looking to refine their models, improve prediction performance, and streamline the deployment process. By leveraging Amazon SageMaker's powerful tools, you'll learn how to automate model tuning, conduct A/B testing of model candidates, and scale successful models in real-time.

Mar 18th 2024

3 Weeks

A/B Testing Coursera Plus Model Deployment

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