Amazon SageMaker Studio for Data Scientists Training in Belgium

  • Learn via: Classroom
  • Duration: 3 Days
  • Level: Expert
  • Price: From €3,750+VAT
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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Contact us for more detail about our trainings and for all other enquiries!

Avaible Training Dates

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

07 april 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
18 april 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
24 april 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
19 mei 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
19 mei 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
12 juni 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
13 juni 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
14 juli 2025 (3 Days)
Brüksel, Brugge, Anvers
Classroom / Virtual Classroom
€3,750 +VAT
Amazon SageMaker Studio for Data Scientists Training Course in Belgium

Belgium, or officially known as Kingdom of Belgium, is located in Northwestern Europe. With the country's 11.5 million population, Belgium is the 6th most densely populated country in Europe. The capital and largest city is Brussels. And other major and popular cities are Antwerp, Ghent, Charleroi, Liège, Bruges, Namur, and Leuven. The population of Belgium consists mostly of Flemings and Walloons. While the Flemings speak Dutch, the Walloons speak French.

The country is known for moules frites (mussels served with french fries) as well as waffles and of course; Belgian chocolate. Chocolate is one of Belgium’s main food exports. Another thing that Belgium is known for is its beautiful city Bruges. Bruges is one of Europe’s most well-preserved medieval towns and has its beautiful canals.

At Bilginç IT Academy, we understand the unique requirements of Belgium and incorporate innovative training methodologies to meet them. Explore our extensive training catalog, featuring diverse Certification Exam preparation courses and accredited corporate training programs that will revolutionize your perception of IT training.
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