Amazon SageMaker Studio for Data Scientists Training in New Zealand

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Level: Expert
  • Price: From €3,800+VAT
  • Upcoming Date:
  • UK 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!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

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 Us

Experience Amazon SageMaker Studio for Data Scientists in New Zealand through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from New Zealand and worldwide, with flexible planning options for individual and corporate training needs.

Experience Amazon SageMaker Studio for Data Scientists in a focused classroom environment in New Zealand. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Amazon SageMaker Studio for Data Scientists in New Zealand solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Amazon SageMaker Studio for Data Scientists Training Course in New Zealand Schedule

Join our public courses in our New Zealand 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.
19 June 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT
20 June 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT
07 July 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT
24 July 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT
04 August 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT
08 August 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT
23 September 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT
25 September 2026 (3 Days)
Auckland, Wellington, Christchurch
€3,800 +VAT

New Zealand, with vibrant and rapidly growing tech communities in Auckland, Wellington, and Christchurch, is carving out a global niche in innovative software solutions and specialized niche technology markets. The nation’s commitment to digital readiness is backed by the research excellence of the University of Auckland and Victoria University of Wellington, focusing on areas like Creative-tech, Agritech, and Health-tech innovation. New Zealand offers a unique and forward-thinking environment for digital learning, where agility and creative problem-solving are highly valued in the professional landscape. Our IT education services in New Zealand focus on high-demand skills such as Web Development, Agile Project Management, and Information Security. We provide the tools and expertise necessary for Kiwi professionals to lead technological change in an economy that prioritizes sustainability, innovation, and global connectivity.

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