Hone Your Skills with Our MLOps Engineering on AWS Course: Most Searched and Trending Online Course

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MLOps Engineering on AWS Course Overview

The MLOps Engineering on AWS certification is an industry-recognized credential that validates expertise in managing, scaling, and deploying machine learning models on Amazon Web Services. Utilizing MLOps (Machine Learning Operations) practices, it ensures smooth collaboration between data scientists and operations professionals for swift implementation and management of ML models. Rather than focusing on model development, it emphasizes infrastructure and operational aspects, such as automation, monitoring, and scalability. This certification is pivotal in industries that leverage machine learning in their workflows, as certified professionals can ensure efficient ML experimentation, reduce deployment time, manage ML lifecycle, and align ML projects with business goals.


The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.

Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.

4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.

Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Introduction to MLOps
  • Machine learning operations
  • Goals of MLOps
  • From DevOps to MLOps
  • ML workflow
  • MLOps view of ML workflow
  • MLOps cases
  • Intro to build, train, and evaluate machine learning models
  • MLOps security
  • Apache Airflow
  • Kubernetes integration for MLOps
  • Amazon SageMaker for MLOps
  • Lab: Bring your own algorithm to an MLOps pipeline
  • Demonstration: Amazon SageMaker
  • Intro to build, train, and evaluate machine learning models
  • Lab: Code and serve your ML model with AWS CodeBuild
  • Activity: MLOps Action Plan Workbook
  • Introduction to deployment operations
  • Model packaging
  • Inference
  • Lab: Deploy your model to production
  • SageMaker production variants
  • Deploying to the edge
  • Lab: Conduct A/B testing
  • Lab: Troubleshoot your pipeline
  • The importance of monitoring
  • Monitoring by design
  • Lab: Monitor your ML model
  • Human-in-the-loop
  • Amazon SageMaker Model Monitor
  • Demonstration: Amazon SageMaker Pipelines, Model Monitor, model registry, and Feature Store
  • Solving the Problem(s)
Live Online Training (Duration : 24 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

2650 + If you accept merging of other students. Per Participant Incl. Official Course-Book & excluding VAT/GST
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1800 Per Participant Incl. Official Course-Book & excluding VAT/GST
02 - 04 Oct
09:00 AM - 05:00 PM CST
(8 Hours/Day)
06 - 08 Nov
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Course Prerequisites
• Minimum one year of experience in AWS.
• Basic knowledge in AI/ML.
• Hands-on experience in cloud operations like DevOps or SysOps.
• Good understanding of Python programming.
• Experience in designing, deploying, and maintaining ML or data solutions.
• Knowledge of AWS architecture and services.

MLOps Engineering on AWS Certification Training Overview

MLOps Engineering on AWS certification training equips individuals with the ability to manage machine learning operations. The course provides a wholesome insight into the whole lifecycle of machine learning projects, from model development, automation, and orchestration to deploying robust, repeatable machine learning pipelines at scale using AWS. Topics covered include understanding AWS services for machine learning, integrating MLOps in business solutions, strategies for data engineering, understanding operational cost-control mechanisms, and using AWS DevOps tools to manage machine learning models.

Why Should You Learn MLOps Engineering on AWS?

Learning MLOps Engineering on AWS course can tremendously boost your career prospects. It equips you with hands-on experience in managing machine learning models effectively. Understanding AWS environment would help you deploy, monitor, and maintain ML models within an organization, enhancing operational efficiency, reducing costs, and accelerating innovation.

Target Audience for MLOps Engineering on AWS Certification Training

- Cloud professionals seeking to enhance their AWS skills
- Data scientists aspiring to learn MLOps practices
- Developers interested in machine learning operations on AWS
- IT professionals aiming to specialize in machine learning
- Tech enthusiasts wanting to understand AWS-based ML workflows
- Enterprise architects seeking knowledge in scaling ML models on AWS

Why Choose Koenig for MLOps Engineering on AWS Certification Training?

- Enhance your career with MLOps Engineering on AWS training from a top training institute.
- Learn from certified instructors with in-depth experience in the field.
- Customized training programs provide a tailored learning path to suit your career goals.
- Destination training options allow the learning experience to adapt to your location.
- Affordable pricing makes high-quality learning accessible to more individuals.
- Choose from a wide range of courses to enhance your skillset.
- Accredited training ensures that your learning is recognized by employers.
- Flexible dates allow you to integrate training smoothly into your schedule.
- Learn in a digital environment with Instructor-Led Online Training.

MLOps Engineering on AWS Skills Measured

After completing MLOps Engineering on AWS certification training, an individual can acquire skills such as designing and implementing machine learning solutions, securing and standardizing machine learning workflows, performing data analysis and processing, understanding AWS technologies related to machine learning, troubleshooting machine learning models and implementing a CI/CD pipeline for ML projects. They will also be able to use AWS services for machine learning applications, control access and security for ML systems, and optimize the ML lifecycle with AWS tools and services.

Top Companies Hiring MLOps Engineering on AWS Certified Professionals

Top companies hiring MLOps Engineering on AWS certified professionals include Amazon, Microsoft, Google, IBM, and Oracle. These tech giants are leveraging machine learning operations in the AWS environment to improve their business processes, making AWS certification highly sought after.

Learning Objectives - What you will Learn in this MLOps Engineering on AWS Course?

The learning objectives of an MLOps Engineering on AWS course are to equip students with proficiency in developing, deploying, and maintaining machine learning models on the AWS platform. They will understand how to use AWS services to automate, monitor, and audit ML workflows. They will learn the principles of the CI/CD (Continuous Integration and Continuous Deployment) pipeline specifically for ML. The course aims to educate students on best practices in managing and scaling machine learning models, alongside providing solutions for potential challenges. They will explore the interaction between microservices, serverless technology, and machine-learning algorithms in real-world applications.
Student Name Feedback
Daniel Cabrera
United States
A1. Sachin was very knowledgeable about the course material and presented himself professionally. He actively listened to my questions and always seemed ready to provide information and feedback.
United States
A1. Calmly explained the topic with details, helped us to resolve our queries wherever required.
United States
A1. Very clear delivery of session. Patient in answering questions
Rachel Lim
United States
A1. Thanks Sachin for the well delivered course. Sachin is familiar with the course content and delivered it with clarity. He is generous with sharing his experience and shared many analogies that I found useful to understand complex topics.
Manikandan N P
United States
A1. Yes. Timely delivery and extended time provided for participants ask questions
Torsha Sett
United States
A1. Great job done
Shivani Gupta
United States
A1. he was able to answer our questions, he made the session engaging.
Frederic Marechal
United States
A1. Sachin is patient, do not hesitate to repeat concept and provide indepth explanations.
Saurav Kumar
United States
A1. Approchable and knowledgable


You can pay through debit/credit card or bank wire transfer.
You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
Yes, we do. For details go to flexi
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
Yes you can.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
Yes, you can pay from the course page and flexi page.
Yes you can request your customer experience manager for the same.
You can request a refund if you do not wish to enroll in the course.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
Yes, we also offer weekend classes.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Yes, we do.
Yes, we do offer corporate training More details
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We use the best standards in Internet security. Any data retained is not shared with third parties.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Official Course-Book
Yes, Koenig Solutions is a AWS Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages



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