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 Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Amazon SageMaker Studio for Data Scientists Training in Singapore. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
Scalable Delivery: Accessible worldwide, including Singapore, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Amazon SageMaker Studio for Data Scientists Training in Singapore. Our hand-picked classroom venues in Singapore offer an invaluable human touch, providing a focused and interactive environment for professional growth.

Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Amazon SageMaker Studio for Data Scientists Training in Singapore. Experience expert-led learning at your own business premises, tailored to your corporate goals.

Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Amazon SageMaker Studio for Data Scientists Training in Singapore

Prerequisites

What You Will Learn

Training Outline

Why Choose Us

Online Instructor-Led Training (VILT)

Classroom Based Learning

Onsite / In-House Learning

Available Training Dates