Amazon SageMaker Studio for Data Scientists Training in Greece

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Level: Expert
  • Price: From €3,750+VAT
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider
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
We can organize this training at your preferred date and location. Contact Us!

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

What You Will Learn

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

Training 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

Why Choose Bilginç IT Academy

At Bilginç IT Academy, we combine our strong presence in both the UK and Türkiye to deliver high-quality, practical training solutions for organizations worldwide.

International Presence with Local Expertise
With operations in the United Kingdom and Türkiye, we bring together global standards and local market understanding to deliver effective training experiences across regions.

Expert Instructors with Real-World Experience
Our courses are delivered by certified trainers with extensive industry experience, ensuring you gain practical knowledge that can be applied immediately.

Corporate-Focused Training Approach
We specialize in training corporate teams, tailoring our programs to meet your organization’s goals, technologies, and project requirements.

Flexible Training Delivery Worldwide
We offer classroom, virtual classroom, and onsite training options globally, tailored to your organization’s needs.

Hands-On, Practical Learning
Our training sessions include real-world scenarios, case studies, and interactive exercises to ensure lasting understanding and skill development.

Proven Track Record
With over 10 years of experience, we have successfully trained professionals from leading organizations across different industries and regions.


Contact us for more detail about our trainings and for all other enquiries!

Avaible Training Dates

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

We can organize this training at your preferred date and location.
17 Απριλίου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT
30 Απριλίου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT
19 Μαΐου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT
01 Ιουνίου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT
16 Ιουνίου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT
22 Ιουνίου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT
24 Ιουνίου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT
06 Ιουλίου 2026 (3 Days)
Athens, Thessaloniki
€3,750 +VAT

Greece is experiencing a significant digital shift, with Athens and Thessaloniki becoming emerging centers for international tech investments and startup growth. Supported by world-class academic institutions such as the National Technical University of Athens, the country is focusing on modernizing its digital infrastructure and expanding its software development capabilities. Greece's strategic location makes it an important gateway for tech services between Europe and the Middle East, attracting global giants for data center and cloud projects. Our training programs in Greece focus on bridging the gap between academic theory and the practical demands of the modern tech market. By offering specialized courses in Web Development, Cloud Infrastructure, and AI, we empower Greek IT professionals to compete effectively on the global stage.

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