Web Apps and Containers - Workshop
FourthBrain Workshop

Web Apps and Containers

Containerized web app development for data scientists

A LIVE workshop for data scientists and developers on setting up your application development environment. You’ll learn to build a containerized web application using an ML model.

  • Date: Tuesday and Thursday, February 6th and 8th
  • Time: 3pm-6pm PT
  • Cost: $500  |  $1,500 for Teams

Building AI applications has never been easier. In order to fully embrace the new generation of AI tools, data scientists and developers must know how to deploy basic applications on their own, without a software engineer.

In this workshop you will learn to  set up your application development environment and build a containerized web application using industry-standard tools. By the end of this workshop, you’ll have a sharable application.

Key Outcomes

Set up your ML development environment

Build a containerized web application

Deploy using industry-standard tools

Workshop Schedule

This workshop includes two live sessions for three hours each.

  • Interactive Development Environments (IDEs)
  • Git and command line essentials
  • Web App Frameworks and overview of Deployment, Endpoints, Ports and APIs
  • FastAPI Architecture
Download the Syllabus

This workshop is for you if:

1
You are a data scientist or developer who wants to start building deployable applications in the cloud
2
You have experience with ML modeling, but haven't gotten past the notebook
3
You are fluent in Python and have experience manipulating data, and working with basic ML models like classifiers

How to Prepare

Many employers offer reimbursement for programs like ours. Check out our tips for getting reimbursed.

Register Here

FAQs

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About FourthBrain

FourthBrain's mission is to bring more people into the growing fields of Machine Learning and Artificial Intelligence through flexible education programs. We equip leaders with the skills to lead organizations towards AI maturity, and support engineers, developers, and data scientists to make an impact in this field.