Amazon SageMaker Studio for Data Scientists Training in Germany

  • Learn via: Classroom
  • Duration: 3 Days
  • Level: Expert
  • Price: From €3,750+VAT
We can host this training at your preferred location. Contact us!

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

  • 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

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

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

Upcoming Trainings

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

08 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
20 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
08 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
20 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
03 März 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
03 März 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
07 April 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
18 April 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
Amazon SageMaker Studio for Data Scientists Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.

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