Target group
This course is intended for:
- Developers
- Solutions Architects
- Data Engineers
- Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker
Course code: TMACLPAWS
This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays.
By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.
Amazon Web Services authorized e-book included.
Professional
and certified lecturers
Internationally
recognized certifications
Wide range of technical
and soft skills courses
Great customer
service
Making courses
exactly to measure your needs
Starting date: Individual
Type: In-person/Virtual
Course duration: 4 days
Language: en/cz
Price without VAT: 2 150 EUR
Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
---|---|---|---|---|---|---|---|
Individual | In-person/Virtual | 4 days | en/cz | 2 150 EUR | Register | ||
G | Guaranteed course |
This course is intended for:
In this course, you will learn how to:
We recommend that attendees of this course have: