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 Amazon SageMaker Studio for Data Scientists in South Africa 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 South Africa 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 South Africa. 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 South Africa 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.

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 South Africa

Prerequisites

What You Will Learn

Training Outline

Why Choose Us

Amazon SageMaker Studio for Data Scientists Training Course in South Africa Schedule

Amazon SageMaker Studio for Data Scientists Training in South Africa

Prerequisites

What You Will Learn

Training Outline

Why Choose Us

Online Instructor-Led Training (VILT)

Classroom-Based Training

Onsite / In-House Training

Amazon SageMaker Studio for Data Scientists Training Course in South Africa Schedule