Master Amazon SageMaker Studio: Streamline Your ML Workflow.

Experienced data scientist ready to take your productivity to the next level? Enroll in our hands-on Amazon SageMaker Studio for Data Scientists course. This intensive AWS training teaches you how to harness the power of SageMaker Studio, accelerating your entire machine learning process – from data prep to deployment.

Discover integrated tools that speed up model building and tuning. Learn to deploy models confidently with robust monitoring solutions. Gain best practices for collaboration and resource management within the SageMaker Studio environment. Invest in the skills that streamline your workflow and maximize the impact of your machine learning projects.

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Overview

Learn to use Amazon SageMaker Studio to boost productivity at every step of the ML lifecycle.

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

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2022-2025 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

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Skills Covered

In this course, you will learn to:

  • Accelerate the preparation, building, training, deployment, and monitoring of ML solutions by using Amazon SageMaker Studio.

Prerequisites

We recommend that all students complete the following AWS course prior to attending this course:

We recommend students who are not experienced data scientists complete the following two courses followed by 1-year on-the-job experience building models prior to taking this course:

Target Audience

This course is intended for:

  • Experienced data scientists who are proficient in ML and deep learning fundamentals. Relevant experience includes using ML frameworks, Python programming, and the process of building training, tuning, and deploying models.

Course Curriculum

Module 1: Amazon SageMaker Setup and Navigation

  • Launch SageMaker Studio from the AWS Service Catalog.
  • Navigate the SageMaker Studio UI.
  • Demo 1: SageMaker UI Walkthrough
  • Lab 1: Launch SageMaker Studio from AWS Service Catalog

Module 2: Data Processing

  • Use Amazon SageMaker Studio to collect, clean, visualize, analyze, and transform data.
  • Set up a repeatable process for data processing.
  • Use SageMaker to validate that collected data is ML ready.
  • Detect bias in collected data and estimate baseline model accuracy.
  • Lab 2: Analyze and Prepare Data Using SageMaker Data Wrangler
  • Lab 3: Analyze and Prepare Data at Scale Using Amazon EMR
  • Lab 4: Data Processing Using SageMaker Processing and the SageMaker Python SDK
  • Lab 5: Feature Engineering Using SageMaker Feature Store

Module 3: Model Development

  • Use Amazon SageMaker Studio to develop, tune, and evaluate an ML model against business objectives and fairness and explainability best practices.
  • Fine-tune ML models using automatic hyperparameter optimization capability.
  • Use SageMaker Debugger to surface issues during model development.
  • Demo 2: Autopilot
  • Lab 6: Track Iterations of Training and Tuning Models Using SageMaker Experiments
  • Lab 7: Analyze, Detect, and Set Alerts Using SageMaker Debugger
  • Lab 8: Identify Bias Using SageMaker Clarify

Module 4: Deployment and Inference

  • Use Model Registry to create a model group; register, view, and manage model versions; modify model approval status; and deploy a model.
  • Design and implement a deployment solution that meets inference use case requirements.
  • Create, automate, and manage end-to-end ML workflows using Amazon SageMaker Pipelines.
  • Lab 9: Inferencing with SageMaker Studio
  • Lab 10: Using SageMaker Pipelines and the SageMaker Model Registry with SageMaker Studio

Module 5: Monitoring

  • Configure a SageMaker Model Monitor solution to detect issues and initiate alerts for changes in data quality, model quality, bias drift, and feature attribution (explainability) drift.
  • Create a monitoring schedule with a predefined interval
  • Demo 3: Model Monitoring

Module 6: Managing SageMaker Studio Resources and Updates

  • List resources that accrue charges.
  • Recall when to shut down instances.
  • Explain how to shut down instances, notebooks, terminals, and kernels.
  • Understand the process to update SageMaker Studio

Dates & Locations

Let’s make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
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August 17, 2026 - August 19, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 5400 RM 4500
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August 17, 2026 - August 19, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 5400 RM 4500
PROMO

November 10, 2026 - November 12, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 5400

November 10, 2026 - November 12, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 5400
Trainocate exam and cert

Exam & Certification

There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our top AWS Certifications for 2026 and start building the skills that matter today.

Training & Certification Guide

Validate Your Skills with AWS Certification

Certification is the one of the best ways to validate your cloud skills. And AWS Certifications are industry-recognized credentials. And AWS Certifications, in particular, are industry-recognized credentials that showcase your expertise in the AWS Cloud. This e-book provides an overview of what you need to know to earn an AWS Certification, acting as your guide throughout the process. It will help you determine which AWS Certifications are right for you and show you how to prepare for and obtain them.

Training and Certification for your Machine Learning Journey

Organizations are struggling to find data scientists and developers with machine learning experience. Learn how you can become the machine learning problem-solver others look to. In this eBook, we’ll review the promise of machine learning and how innovations in training and certification give developers and data scientists an advantage by equipping them with the skills to help their organizations achieve success.

Innovate Securely and Confidently with AWS Training and Certification

Across nearly every industry, organizations are discovering a greater need to empower every employee with cloud security skills. This e-book will guide you on how AWS Training and Certification can help your organization innovate securely and confidently by offering flexible in-demand digital training that can help your teams build security skills quickly and comprehensively.

How people are bringing the possibilities of purpose-built databases to life

It’s time to push the limits of innovation by building your database of skills. The power of data has grown at an exponential rate over the last several years. It has created a new universe of possibilities for applications, services and beyond. In this e-book, we’ll introduce you to effective methods of building your database skills. We’ll help you start your journey and propel you into this new universe of data empowering you to explore and innovate throughout the ever-growing expanse of purpose-built database possibilities.

Accelerate Your Modernization Journey

Develop skills in designing, building and managing modern applications. As companies look to become more agile so they can innovate and respond to change faster and innovate rapidly, this inadvertently requires a different kind of application than what was common years ago. This e-book gives you insights on the importance of training and skilling to accelerate your company’s digital transformation.

Accelerate Migration with Comprehensive Cloud Skills Enablement

As benefits of the cloud like speed, scale and modernization have become more widely understood, the conversation at many organizations has shifted from “why cloud?” to “which cloud?” Thousands of companies, including GE, The Coca-Cola Company, BP, Enel, Samsung, News Corp, and 21st Century Fox, have found their answer with AWS.

AWS also helps provide the answer to another critical questions in your cloud journey: “How to get to the cloud in the fastest, most efficient way possible?” A transformative migration is now within your reach. Now you can learn how you can migrate with your confidence by building your team’s cloud skills with AWS Training and certification by downloading this e-book.

10 Reasons to learn the AWS Cloud

It does not matter you’re new to AWS Cloud services, seeking to update your cloud skills, or exploring a cloud-first strategy for your organization it’s time to make a plan. Download this free E-Book and learn how AWS Training can help you better understand how the AWS Cloud works and how you can troubleshoot with confidence and skill

Top Data Science Certifications You Should Know in 2024

Data science certifications are vital for IT professionals to validate their skills, set themselves apart in a competitive job market, and meet the rising demand in the field, as the employment of data scientists is projected to grow by 35% from 2022 to 2032.

Frequently Asked Questions

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