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MLOps Engineering on AWS Intermediate

MLOps Engineering on AWS equips DevOps engineers, ML engineers, and operations professionals with skills to automate, deploy, and monitor machine learning models in AWS, solving the critical industry challenge of operationalizing ML at scale. With demand for ML engineers rising—projected among the top AI jobs—this course delivers hands-on expertise in SageMaker pipelines, CI/CD for ML, and model monitoring to maintain performance alignment with business KPIs.

This course prepares learners for the AWS Certified Machine Learning Engineer – Associate certification, enhancing credibility and career growth. Koenig’s official AWS-authorized training ensures access to current courseware and Guaranteed-to-Run schedules. Master MLOps practices to confidently deploy, scale, and maintain production ML systems on AWS.

24 Hours (3 Days)
Live Online / Classroom
89+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,450
Dedicated instructor, your schedule Fastest
Public Batch USD 1,850
Group class, fixed schedule Most Popular

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Course Overview

MLOps Engineering on AWS is an intermediate-level course offered by AWS that equips DevOps engineers, ML engineers, and developers with the skills to operationalize machine learning models using AWS services. Designed for professionals responsible for deploying and maintaining ML workloads, this course bridges the gap between data science and operations by emphasizing collaboration, automation, and best practices in MLOps. With demand for ML engineers growing rapidly—ranked among the top AI jobs in the U.S.—this training addresses a critical industry need, preparing learners to streamline ML workflows in enterprise environments.

The course focuses on key AWS technologies including Amazon SageMaker, AWS Step Functions, SageMaker Pipelines, AWS CodeBuild, and SageMaker Model Monitor, all accessed through the AWS Console. Participants engage in hands-on labs where they build automated ML pipelines that handle model training, testing, and deployment, while also implementing monitoring solutions for data drift and model bias. A core project involves configuring a full CI/CD pipeline using SageMaker Projects and AWS infrastructure to automate end-to-end model orchestration, enabling students to gain practical experience in real-world MLOps scenarios.

MLOps Engineering on AWS prepares candidates for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) certification, a role-based credential recognized for validating expertise in operationalizing ML solutions on AWS. Professionals with this certification are well-positioned for career advancement, with ML engineers commanding average salaries around $125,000 according to industry reports. Koenig Solutions supports learners with official AWS courseware, expert-led instruction, and a Guaranteed-to-Run schedule, ensuring reliable access to training. Graduates emerge ready to lead scalable, secure, and maintainable ML deployments in production environments.

What You'll Learn

✓Implement MLOps best practices on AWS to manage the end-to-end machine learning lifecycle.
✓Build automated ML workflows using AWS Step Functions to orchestrate model development and deployment.
✓Deploy scalable production models using Amazon SageMaker and AWS CodePipeline for continuous delivery.
✓Monitor model performance and data drift using Amazon EventBridge and SageMaker Model Monitor.
✓Secure MLOps pipelines on AWS by applying IAM policies and encryption to protect sensitive data.
✓Automate model retraining cycles with Amazon SageMaker to maintain accuracy and operational efficiency.

Skills You'll Gain

MLOps Engineering Amazon SageMaker ML Workflow Automation CI/CD Pipelines Model Monitoring Data Drift Detection AWS Step Functions SageMaker Pipelines Model Versioning Traffic Shifting SageMaker Projects Inference Monitoring ML Security Multi-account Strategy Automated Deployment Model Retraining Human-in-the-Loop

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of cloud computing and AWS services
  • Experience with DevOps practices and automation on AWS
  • Hands-on experience with Amazon SageMaker for data science projects
  • Knowledge of machine learning workflows, models, and terminology
  • Ability to design and implement CI/CD pipelines on AWS
  • Familiarity with AWS infrastructure as code tools like AWS CloudFormation or AWS CDK
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Certification Exam

Everything you need to know about the MLOps Engineering on AWS certification exam

Exam Details
Exam Name
MLOps Engineering on AWS
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates must wait 14 days before retaking the exam. No attempt limits apply, though each attempt requires full payment.
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MLOps Engineering on AWS

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Course Curriculum

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

1
Day 1– Mastering MLOps Engineering on AWS
MLOps Engineering on AWS course overview Amazon SageMaker Studio and Model Registry fundamentals Strategic goals of MLOps implementation Transitioning from DevOps to MLOps End-to-end ML workflow architecture Amazon SageMaker Feature Store and Amazon SageMaker Data Wrangler Real-world MLOps use cases Defining the scope of MLOps
2
Day 2– Advanced MLOps Development Workflows
Build, train, and evaluate ML models Automating scalable ML pipelines Amazon SageMaker Pipelines orchestration AWS Step Functions for workflow automation Amazon SageMaker for MLOps excellence Lab: Deploy your own algorithm Lab: Code and serve ML models Securing MLOps production environments
3
Day 3– Deployment and Monitoring Strategies
Efficient model packaging methods Advanced inference strategy selection Lab: Deploy model to production SageMaker production variant management Robust model deployment strategies A/B testing lab implementation Amazon SageMaker Model Monitor and Amazon CloudWatch Lab: Monitor live ML models

What's Included in Your Training

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

Career Outcomes

78%

of MLOps Engineering on AWS certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the MLOps Engineering on AWS 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
  • MLOps Engineer
  • Machine Learning Engineer
  • ML Platform Engineer
  • DevOps Engineer (MLOps)
  • AWS ML Operations Specialist
  • Cloud MLOps Engineer

Companies Hiring

5,000+
Amazon Accenture Deloitte JPMorgan Chase Goldman Sachs Capgemini IBM TCS Infosys Wipro

and 5,000+ organizations worldwide seeking MLOps Engineering on AWS certified professionals

Meet Your Instructor

👤
Sachin Chauhan
20+
Years Exp.
5,000+
Students
4.9
Avg Rating
IT Professional with 20+ 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 2019 and SharePoint Online, Power Platform.

Associated with Koenig since March-2006.

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
  • ★★★★★

    “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
  • ★★★★★

    “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 MLOps Engineering on AWS training course

Is the certification exam included in the MLOps Engineering on AWS course, and what is the exam fee if separate?
The MLOps Engineering on AWS course does not include the certification exam; the AWS Certified Machine Learning - Specialty exam costs 300 USD. Candidates can use a 50% discount voucher from their AWS Certification account for recertification, and taxes may apply depending on the region.
What training formats does Koenig offer for the MLOps Engineering on AWS course, and is there a Guaranteed-to-Run option?
Koenig offers MLOps Engineering on AWS in live online 1-on-1, virtual instructor-led, and classroom formats, all of which are Guaranteed-to-Run. This ensures the course proceeds even with a single participant, providing flexible scheduling for individuals and groups.
How long is lab access provided for the MLOps Engineering on AWS course, and what environment is used?
Lab access for the MLOps Engineering on AWS course is provided for 6 months from the course delivery date using AWS-provided cloud sandboxes via Amazon SageMaker. These hands-on labs are conducted in a live virtual environment with real-time instructor guidance.
What is Koenig's rescheduling and cancellation policy for the MLOps Engineering on AWS course?
Koenig allows rescheduling with no additional fees if done more than 10 days before the course start date; cancellations or rescheduling within 10 days incur a 50% fee. The same training cannot be rescheduled more than once according to Koenig's terms of service.
What is the format, number of questions, passing score, and time limit for the AWS Certified Machine Learning - Specialty exam?
The AWS Certified Machine Learning - Specialty exam has 65 questions, including multiple choice and multiple response types, a time limit of 180 minutes, and a passing score of 750 out of 1000 based on a scaled scoring model established by AWS professionals.
How long is the AWS Certified Machine Learning - Specialty certification valid, and what is the renewal process and cost?
The AWS Certified Machine Learning - Specialty certification is valid for 3 years; renewal requires passing the current version of the exam at a cost of 300 USD or using a 50% discount voucher from the AWS Certification account for recertification.
What post-training support does Koenig provide after completing the MLOps Engineering on AWS course?
Koenig provides post-training support including access to trainers for doubt resolution, class recordings via LET platform for 6 months, and a Happiness Guarantee that offers a full refund or free re-enrollment if expectations are not met.
What are the prerequisites or experience needed to attend the MLOps Engineering on AWS course?
Prerequisites for MLOps Engineering on AWS include AWS Technical Essentials, DevOps Engineering on AWS, and Practical Data Science with Amazon SageMaker courses or equivalent experience, ensuring attendees have foundational knowledge in AWS services and DevOps practices.
What salary increase or career impact can be expected after completing the MLOps Engineering on AWS course?
Completing the MLOps Engineering on AWS course can lead to roles like Machine Learning Engineer with salaries ranging from $120,000 to $180,000 annually, reflecting a strong return on investment given the average salary of $145,000 for certified professionals.
How does the MLOps Engineering on AWS course compare to self-study for certification preparation?
The MLOps Engineering on AWS course offers structured, hands-on learning with expert instructors and labs, providing faster skill acquisition compared to self-study, which requires greater discipline and may lack access to guided real-time feedback and practical environments.

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