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Overview
The Developing your First ML Workflow 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
What you will do during this course:
- This course will go over SageMaker essential services such as training jobs, endpoints, batch transforms, and processing jobs.
- This course will discuss machine learning workflows and AWS tools such as Lambda, Step Function for building a workflow.
- This course will go over monitoring a machine learning workflow and some useful services within AWS to help you monitoring the healthy of data and machine learning models.
Programme Structure
Courses include:
- SageMaker Essentials
- Designing Your First Workflow
- Monitoring a ML Workflow
- Project: Build a ML Workflow For Scones Unlimited On Amazon SageMaker
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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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:
- Machine learning fluency
- AWS familiarity
- API proficiency
- Basic Python
- Jupyter notebooks
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.
Funding
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