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--- a/workshops/vetiver.qmd
+++ b/workshops/vetiver.qmd
@@ -1,35 +1,36 @@
 ---
-title: Add workshop title here
+title: Intro to MLOps with vetiver
 author:
-  - name: Instructor 1 name
+  - name: Isabel Zimmerman
     affiliations:
-      - name: Instructor 1 affiliation
-  - name: Instructor 2 name (remove if single instructor)
-    affiliations:
-      - name: Instructor 2 affiliation      
+      - name: Posit, PBC  
 description: |
-  1-sentence summary of workshop.
-categories: [add, comma, separated, categories]
+  Utilize the vetiver framework in Python and R for efficient versioning, deployment, and monitoring of machine learning models in production.
+categories: [mlops, python, r]
 ---
 
 # Description
 
-Full workshop description goes here. Multi-paragraph ok.
+Data scientists understand what goes into training a machine learning or statistical model, but bringing that model into a production environment can be daunting. 
+
+This workshop will cover the fundamentals of MLOps (machine learning operations), the practices used to create a MLOps strategy, and what kinds of tasks and components are involved. We’ll use vetiver, a framework for MLOps tasks in Python and R, to version, deploy, and monitor the models you have trained and want to deploy and maintain in production reliably and efficiently.
 
 # Audience
 
-This course is for you if you:
+We expect participants to have exposure to basic modeling and machine learning practice, but NOT expert familiarity with advanced ML or MLOps topics.
+
+This workshop is for you if you:
 
--   list at least
+- have intermediate R or Python knowledge (this will be a “choose your own adventure” workshop where you can work through the exercises in either R or Python),
 
--   three attributes
+- can read data from CSV and other flat files, transform and reshape data, and make a wide variety of graphs, and
 
--   for your target audience
+- can fit a model to data with your modeling framework of choice.
 
 # Instructor(s)
 
 |                               |     |                                             |
 |------------------|------------------|-------------------------------------|
-| ![](images/name-lastname.jpg) |     | Instructor bio, including link to homepage. |
+| ![](images/isabel-zimmerman.jpg) |     | [Isabel Zimmerman](https://www.isabelizimm.me/)(she/her) is a software engineer at Posit, PBC. As part of her job at Posit, she builds and maintains MLOps Python packages such as vetiver and pins. She has a background as a software engineer/data scientist working with data and models in cloud environments. |
 
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