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Practical Data Science with Amazon SageMaker Intermediate

Practical Data Science with Amazon SageMaker equips developers and data scientists with hands-on skills to build, train, and deploy ML models using AWS tools. It addresses the critical industry gap in applying machine learning to real-world problems, such as customer retention analysis. With data scientist roles projected to grow 34% from 2024 to 2034 (U.S. Bureau of Labor Statistics), this course enables professionals to deliver actionable insights using SageMaker’s end-to-end data science workflow.

This course prepares learners for the AWS Certified Machine Learning – Specialty certification, associated with a $171,725 average salary (Global Knowledge 2024). Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, ensuring practical mastery. Enroll to gain in-demand skills and accelerate your career as an AWS-recognized machine learning expert.

8 Hours (1 Days)
Live Online / Classroom
21+ professionals trained

Training Formats & Pricing

1-on-1 USD 850
Dedicated instructor, your schedule Fastest
Public Batch USD 650
Group class, fixed schedule Most Popular

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Course Overview

The Practical Data Science with Amazon SageMaker course by AWS is an intermediate-level training designed for developers, data scientists, and DevOps engineers seeking to master machine learning workflows using AWS services. Aligned with the AWS Certified Machine Learning – Specialty certification, this one-day, instructor-led program guides learners through a real-world customer churn analysis use case, reflecting the growing industry demand for ML-driven insights—over 50% of enterprises now leverage AWS for scalable machine learning solutions. Participants will gain hands-on experience in the full data science lifecycle, from data preparation and feature engineering to model deployment, ensuring they are equipped to tackle practical business challenges with Amazon SageMaker.

This course emphasizes practical skills using core AWS technologies including Amazon SageMaker Studio, SageMaker Data Wrangler, XGBoost, and AWS Auto Scaling. Through guided labs in the AWS Console, students build and deploy a machine learning model, configure hyperparameter tuning jobs, and set up real-time inference endpoints. A key hands-on component involves training a model on a customer churn dataset, evaluating performance, and deploying it with A/B testing and auto scaling for production readiness. These exercises simulate real-world MLOps scenarios, giving learners direct experience with tools and practices used by leading cloud-native organizations leveraging Amazon SageMaker for scalable, responsible machine learning.

By completing the Practical Data Science with Amazon SageMaker course, professionals prepare for the industry-recognized AWS Certified Machine Learning – Specialty certification, which can lead to career advancement with ML engineers earning median salaries exceeding $130,000 annually. Koenig Solutions enhances this learning with Guaranteed-to-Run sessions, official AWS courseware, and expert-led training to ensure deep comprehension. Graduates are positioned to drive AI initiatives, automate decision-making, and lead machine learning projects in cloud environments, making them invaluable assets in the evolving data-driven enterprise landscape.

What You'll Learn

✓Orchestrate data processing pipelines using SageMaker Data Wrangler and Feature Store to ensure high-quality, reusable datasets for machine learning.
✓Execute distributed training jobs using SageMaker Estimators to build reliable and scalable AI solutions efficiently.
✓Analyze model performance metrics and lineage using SageMaker Experiments to optimize predictive accuracy and model outcomes.
✓Automate hyperparameter optimization using SageMaker Automatic Model Tuning to achieve peak model performance faster.
✓Deploy production-ready models using SageMaker Pipelines and Multi-Model Endpoints for scalable and secure inference.
✓Implement continuous model governance and drift detection using SageMaker Model Monitor to maintain health and ensure consistent results.

Skills You'll Gain

Data Science Machine Learning Amazon SageMaker Data Preparation Feature Engineering Model Training Model Evaluation Hyperparameter Tuning AWS Lambda Functions SageMaker Notebooks SageMaker Ground Truth SageMaker Neo Batch Transforms Model Deployment A/B Testing Auto Scaling Cost of Errors
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Certification Exam

Everything you need to know about the Practical Data Science with Amazon SageMaker certification exam

Exam Details
Exam Name
Practical Data Science with Amazon SageMaker
Exam Cost
$150 USD
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
14 days
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Practical Data Science with Amazon SageMaker

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Practical Data Science with Amazon SageMaker
Core machine learning paradigms Key data science project roles Standard ML pipeline stages Amazon SageMaker platform overview SageMaker console navigation mastery Jupyter notebook environment setup SageMaker technical architecture design SageMaker service ecosystem features
2
Day 2– Strategic Problem Formulation and Data Preparation
Solving customer churn challenges Analyzing churn dataset structures Defining training/test data splits Efficient data collection workflows Fundamental feature engineering skills Managing missing data points Identifying critical data types Advanced dataset splitting methods
3
Day 3– Data Analysis and Visualization Techniques
Importing datasets into SageMaker Visualizing complex data distributions Exploring vital feature relationships Detecting statistical data correlations Professional data cleaning processes Effective outlier handling strategies Essential feature scaling methods Optimizing data for modeling
4
Day 4– Model Training and Performance Evaluation
Selecting optimal ML algorithms Deploying XGBoost via SageMaker Configuring robust estimator parameters Tuning model hyperparameter sets Executing scalable model training Assessing model performance metrics Interpreting key evaluation results Foundational model deployment steps
5
Day 5– Model Tuning and Production Deployment
Automated hyperparameter tuning jobs Configuring efficient tuning workflows Deploying models to production Executing A/B testing strategies Implementing auto scaling services Monitoring real-time model performance Analyzing business error costs Final production readiness checklist

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

92%

of Practical Data Science with Amazon SageMaker certified professionals report career advancement within 6 months

Salary Impact

+35%

Average salary increase reported after obtaining the Practical Data Science with Amazon SageMaker certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Machine Learning Engineer
  • Data Scientist
  • MLOps Engineer
  • AI/ML Solutions Architect
  • Cloud Data Scientist
  • Applied ML Scientist

Companies Hiring

5,000+
Amazon Microsoft Google Cloud Accenture Deloitte Capgemini Netflix Uber IBM Salesforce

and 5,000+ organizations worldwide seeking Practical Data Science with Amazon SageMaker certified professionals

Meet Your Instructor

👤
Sachin Chauhan
20+
Years Exp.
5,000+
Students
4.9
Avg Rating
IT Professional with 16+ Years of rich experience in Microsoft .NET Module.
Worked on various Microsoft products, like Developing Microsoft Azure Solutions, Microsoft AI, Cognitive services, Web
Services, Microsoft ASP.NET Core MVC Web Applications, Programming in C#, HTML5,
CSS3, JavaScript, Angular, reactJs, and SharePoint development on all the versions of SharePoint from 2007 to 2016.
Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

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    AZ-104 Certified ✓ Verified
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    CISO, Financial Services

    Enterprise Client ✓ Verified
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    Ahmed R.

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    Business Intelligence Lead

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    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

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    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Practical Data Science with Amazon SageMaker training course

Is the certification exam included with the Practical Data Science with Amazon SageMaker course, and what is the exam fee if separate?
The AWS certification exam is not included with the Practical Data Science with Amazon SageMaker course. This training focuses on building technical proficiency using Amazon SageMaker. No separate exam fee applies as this is a skill-building course.
What training formats does Koenig offer for the Practical Data Science with Amazon SageMaker course, and is it Guaranteed-to-Run?
Koenig delivers the Practical Data Science with Amazon SageMaker course via live online 1-on-1, classroom, or Fly-Me-A-Trainer formats. All sessions are Guaranteed-to-Run, ensuring your training proceeds even with a single participant for reliable scheduling.
How long is lab access provided for the Practical Data Science with Amazon SageMaker course, and what environment is used?
You receive 30 days of lab access starting from your course date. You will use AWS-hosted cloud sandbox environments to practice with Amazon SageMaker Studio, providing a secure platform for real-world data science workflows.
What is Koenig's rescheduling and cancellation policy for the Practical Data Science with Amazon SageMaker course?
Koenig permits fee-free rescheduling if requested over 10 days before the course start. Cancellations or changes within 10 days incur a 50% fee, following our standard policy for all Guaranteed-to-Run training sessions.
What is the exam format, number of questions, and passing score for the AWS certification recommended after this course?
The AWS Certified Machine Learning - Specialty exam is the recommended follow-up. It includes 65 multiple-choice or multiple-response questions. You have 180 minutes to achieve a passing score of 750 out of 1000 points.
How long is the AWS Certified Machine Learning - Specialty certification valid, and what is the renewal process?
The AWS Certified Machine Learning - Specialty credential remains valid for three years. Renewal requires passing a recertification exam or completing approved continuing education credits through official AWS Training and Certification programs.
What post-training support does Koenig provide after completing the Practical Data Science with Amazon SageMaker course?
Koenig offers 30 days of post-training mentor support, entry to exclusive learning communities, and a complimentary course retake within one year. This ensures you maintain momentum toward your certification and career goals.
What are the prerequisites or recommended experience for the Practical Data Science with Amazon SageMaker course?
Participants need Python programming proficiency and fundamental machine learning knowledge. Completion of AWS Technical Essentials or equivalent experience is recommended to ensure you can effectively master complex Amazon SageMaker workflows.
What is the typical salary impact or career benefit after completing the Practical Data Science with Amazon SageMaker course?
Professionals with AWS machine learning expertise earn an average of $130,000 annually. This course accelerates job readiness for Data Scientist or ML Engineer roles, significantly increasing your promotion potential and certification success rate.
How does instructor-led training for Practical Data Science with Amazon SageMaker compare to self-study in terms of certification success?
Instructor-led training increases certification pass rates by up to 40% versus self-study. You gain structured guidance, real-time expert feedback, and hands-on labs that directly align with AWS best practices and exam objectives.

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