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Course Overview

  • DevOps to MLOps

    Learn the Ops framework to better deploy infrastructure, manage data, and release applications. Learn the basics of Docker and Kubernetes for analysts and data scientists.

  • Data Pipelines

    Learn how to build data pipelines for health care analytics, data science, and bioinformatics. Effectively use version control and data versioning systems for reproducibility.

  • Validation & Compliance

    Understand what is expected for regulatory compliance for data scientists, analysts, and bioinformaticians. Identify key components to document and validate for production use cases.

Course Details

Ops for Informatics

Ops for Informatics will prepare you to design, develop, and deploy software, analytics applications, and pipelines that follow industry and regulatory best practices. This course will include a combination of lectures and workshops that will cover the importance and benefits of Ops frameworks. At the end of the course, learners will be able to create consistent development environments, use version control, understand and use DevOps tools including Docker and Kubernetes, describe best practices for data management, and manage machine learning and bioinformatic pipelines.

Instructor(s)

Wade Schulz, MD, PhD

Physician Scientist, Clinical Informaticist

Dr. Schulz is an Assistant Professor of Laboratory Medicine at Yale School of Medicine. He received his PhD in Microbiology, Immunology, and Cancer Biology and MD from the University of Minnesota and is triple board certified in Clinical Pathology, Blood Banking and Transfusion Medicine, and Clinical Informatics. He is the Director of Informatics for the Department of Laboratory Medicine and Medical Director of Data Science for Yale New Haven Health System. Dr. Schulz has over 20 years’ experience in software development with a focus on enterprise system architecture and has a research interests in the management of large, biomedical data sets and the use of real-world data for predictive modeling. At Yale, he has led the implementation of a distributed data analysis and predictive modeling platform, for which he received the Data Summit IBM Cognitive Honors award. Other projects within his research group include computational phenotyping and the development of clinical prescriptive models for precision medicine initiatives. His clinical areas of expertise include molecular diagnostics and transfusion medicine.

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Course curriculum

    1. Course Overview

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    2. Journal Article Review

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    3. Generate Synthetic Data

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About this course

  • $199.00
  • 3 lessons
  • 0 hours of video content