Endorsed by
Coursera 4.3 (9)
Overview
In this Practical Decision-Making Using No-code ML on AWS course offered by Coursera in partnership with Amazon Web Services you will explore Amazon SageMaker Canvas, a visual point-and-click interface that allows you to generate accurate ML predictions without requiring any machine learning experience or having to write a single line of code. At the end of the course, you will walk away understanding how to make better business decisions using no-code machine learning.
What you'll learn
Shape a question and shape data into the right format to answer that question
Build and evaluate a machine learning model without writing code
Generate predictions and make practical business decisions from your model
Get more details
Visit programme websiteProgramme Structure
Course structure:
- Artificial Intelligence for everyone
- The stages of analytics and its value
- AI, ML, and AutoML - what are they?
- Examples of AutoML, common business use cases, and business problem questions
- Forming a question around the most common ML problem types
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- 1 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Web Technologies & Cloud Computing Software Engineering View 554 other Short Courses in Software Engineering in United StatesExplore more key information
Visit programme websiteAcademic 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
- Beginner level
- No prior machine learning experience or AWS cloud experience is required.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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