Overview
Features
The Deploying a Machine Learning Model with FastAPI course from Udacity projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
- Gain proven experience
- Retain knowledge longer
- Apply new skills immediately
Programme Structure
Courses include:
- Deploying a Machine Learning Model with FastAPI
- Develop
- Monitor
- Deploy a classification model on publicly available Census Bureau data
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Basic machine learning
- Intermediate Python
- REST APIs
- Unit testing
- Basic github
- Command line interface basics
You will also need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.