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On this accelerated Amazon SageMaker Studio for Data Scientists course, you will learn to boost productivity at every step of the ML lifecycle with Amazon SageMaker Studio for Data Scientists from an expert AWS instructor.
This 2 day, advanced level course helps experienced data scientists build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows to reduce training time from hours to minutes with optimized infrastructure. This course includes presentations, demonstrations, discussions, labs, and at the end of the course, you’ll practice building an end-to-end tabular data ML project using SageMaker Studio and the SageMaker Python SDK.
Accelerate the preparation, building, training, deployment, and monitoring of ML solutions by using Amazon SageMaker Studio Use the tools that are part of SageMaker Studio to improve productivity at every step of the ML lifecycle And much more
At the end of this course, you’ll achieve your Amazon SageMaker Studio for Data Scientists certification.
Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.
This course is ideal for:
Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.
Module 1: Amazon SageMaker Setup and Navigation
Module 2: Data Processing Use Amazon SageMaker Studio to collect, clean, visualize, analyze, and transform data.
Module 3: Model Development Use Amazon SageMaker Studio to develop, tune, and evaluate an ML model against business objectives and fairness and explainability best practices.
Module 4: Deployment and Inference Use Model Registry to create a model group; register, view, and manage model versions; modify model approval status; and deploy a model.
Module 5: Monitoring Configure a SageMaker Model Monitor solution to detect issues and initiate alerts for changes in data quality, model quality, bias drift, and feature attribution (explainability) drift.
Module 6: Managing SageMaker Studio Resources and Updates List resources that accrue charges.
The Capstone lab will bring together the various capabilities of SageMaker Studio discussed in this course. Students will be given the opportunity to prepare, build, train, and deploy a model using a tabular dataset not seen in earlier labs. Students can choose among basic, intermediate, and advanced versions of the instructions. Capstone Lab: Build an End-to-End Tabular Data ML Project Using SageMaker Studio and the SageMaker Python SDK.
At the end of this accelerated course, you’ll achieve your Amazon SageMaker Studio for Data Scientists.
Before attending this accelerated course, you should have:
Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.
Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 134561 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.41% ons te beoordelen als 'boven verwachting'
"Firebrand training is worth every penny. The courses are nicely organized, the instructors are authorized instructors with lots of experience. The arrangements regarding hotel and food are also managed well. Its a bootcamp, so be prepared with that mindset. The only room for improvement i would say, is add extra day or two for professional exams"
MK. (12/5/2023 (Vrijdag) t/m 14/5/2023 (Zondag))
"Quick dive in AWS ! Loved it!"
Daniel Penninck, smals. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))
"I can say that I definitely improved and expanded my AWS knowledge with this course. Loved the discussions and the depth, as well as the focus on achieving the Associate Certification by taking a look at real exam questions."
A.S. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))
"Really focused on the exam, with many examples and labs to dive deep on the content. With Instructor, this amount of services and offerings from AWS are much more likely easy to understand and distinguish."
A.R. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))
"The instructor was very knowledgeable and very friendly. He explains things really well!"
Abdul Hasnath, Dynatrace. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))
Start datum |
Eind datum |
Status |
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Nu boeken |
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19/2/2024 (Maandag) |
20/2/2024 (Dinsdag) |
Beëindigde cursus - Geef feedback |
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24/6/2024 (Maandag) |
25/6/2024 (Dinsdag) |
Wachtlijst |
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5/8/2024 (Maandag) |
6/8/2024 (Dinsdag) |
Beperkte beschikbaarheid |
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16/9/2024 (Maandag) |
17/9/2024 (Dinsdag) |
Open |
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28/10/2024 (Maandag) |
29/10/2024 (Dinsdag) |
Open |
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9/12/2024 (Maandag) |
10/12/2024 (Dinsdag) |
Open |
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