Explore Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models.

Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.

Course level: Advanced
Duration: 3 days
Activities

This course includes presentations, hands-on labs, demonstrations, discussions, and a capstone project.

WHO SHOULD ATTEND?

Experienced data scientists who are proficient in ML and deep learning fundamentals

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We can host this training at your preferred location.

Prerequisites

Experience using ML frameworks
Python programming experience
At least 1 year of experience as a data scientist responsible for training, tuning, and deploying models
AWS Technical Essentials

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What You Will Learn

Accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio

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Outline

Day 1

Module 1: Amazon SageMaker Studio Setup

JupyterLab Extensions in SageMaker Studio
Demonstration: SageMaker user interface demo

Module 2: Data Processing

Using SageMaker Data Wrangler for data processing
Hands-On Lab: Analyze and prepare data using Amazon SageMaker Data Wrangler
Using Amazon EMR
Using AWS Glue interactive sessions
Using SageMaker Processing with custom scripts

Module 3: Model Development

SageMaker training jobs
Built-in algorithms
Bring your own script
Bring your own container
SageMaker Experiments

Day 2

Module 3: Model Development (continued)

SageMaker Debugger
Hands-On Lab: Analyzing, Detecting, and Setting Alerts Using SageMaker Debugger
Automatic model tuning
SageMaker Autopilot: Automated ML
Demonstration: SageMaker Autopilot
Bias detection
SageMaker Jumpstart

Module 4: Deployment and Inference

SageMaker Model Registry
SageMaker Pipelines
SageMaker model inference options
Scaling
Testing strategies, performance, and optimization

Module 5: Monitoring

Amazon SageMaker Model Monitor
Discussion: Case study
Demonstration: Model Monitoring

Day 3

Module 6: Managing SageMaker Studio Resources and Updates

Accrued cost and shutting down
Updates
Capstone

Environment setup

Challenge 1: Analyze and prepare the dataset with SageMaker Data Wrangler
Challenge 2: Create feature groups in SageMaker Feature Store
Challenge 3: Perform and manage model training and tuning using SageMaker Experiments
(Optional) Challenge 4: Use SageMaker Debugger for training performance and model optimization
Challenge 5: Evaluate the model for bias using SageMaker Clarify
Challenge 6: Perform batch predictions using model endpoint
(Optional) Challenge 7: Automate full model development process using SageMaker Pipeline

Hands-On Lab: Data processing using Amazon SageMaker Processing and SageMaker Python SDK
SageMaker Feature Store
Hands-On Lab: Feature engineering using SageMaker Feature Store
Hands-On Lab: Analyze and prepare data at scale using Amazon EMR
Hands-On Lab: Using SageMaker Experiments to Track Iterations of Training and Tuning Models
Hands-On Lab: Using SageMaker Clarify for Bias and Explainability
Hands-On Lab: Using SageMaker Pipelines and SageMaker Model Registry with SageMaker Studio
Hands-On Lab: Inferencing with SageMaker Studio

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Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Avaible Training Dates

Join our public courses in our Netherlands facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

03 maart 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

07 april 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

18 april 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

24 april 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

19 mei 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

19 mei 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

12 juni 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

14 juli 2025 (3 Days)
Amsterdam, Rotterdam
Classroom / Virtual Classroom

€3,750 +VAT

Amazon SageMaker Studio for Data Scientists Training Course in Netherlands

The Netherlands, which is also informally known as Holland, is a country located in Northwestern Europe with overseas territories in the Caribbean. The four largest cities are Amsterdam, Rotterdam, The Hague and Utrecht. Amsterdam is the country's most populous city and the nominal capital, while The Hague holds the seat of the States General, Cabinet and Supreme Court. Rotterdam is the second largest city and has the largest port in Europe. The importance of the Netherlands for Europe is so huge that it cannot be ignored. The country is a founding member of the European Union, Eurozone, G10, NATO, OECD, and WTO.

The tourist attractions of the Netherlands are windmills, canals, and tulips. Canals are an important part of Amsterdam's cityscape and Keukenhof, the Garden of Europe, is the largest public garden in the world. The National Museum Rijksmuseum and the Anne Frank House are must-see places in the Netherlands.

Enhance your IT skills with our comprehensive array of courses, spanning programming, software development, data science, and project management. Benefit from the convenience of choosing your preferred location in Netherlands as our experienced instructors deliver interactive training and real-world insights.

Amazon SageMaker Studio for Data Scientists Training in Netherlands

Prerequisites

What You Will Learn

Outline

Avaible Training Dates