MLOps Engineering on AWS Course Overview

Enroll for 3-day MLOps Engineering on AWS from Koenig Solutions accredited by AWS.  In this course learn the importance of data, model, and code to successful ML deployments. This MLOps Engineering on AWS course builds upon, and extends the DevOps practice prevalent in software development to building, training, and deploying ML models.

Through a blend of hands-on labs and interactive lectures, you will learn the use of tools, automation, processes, and teamwork in addressing the challenges associated with hand-offs between data engineers, data scientists, software developers, and operations. Also discuss the use of tools and processes to monitor and take action when the model prediction in production starts to drift from agreed-upon key performance indicators.

Target Audience:

This curriculum is intended for:

  • DevOps engineers
  • ML engineers
  • Developers/Operations with responsibility for operationalizing ML models.

Learning Objectives:

After completing this course, you will be able to:

  • Describe Machine Learning Operations
  • Understand the key differences between DevOps and MLOps
  • Describe the machine learning workflow
  • Discuss the importance of communications in MLOps
  • Explain end-to-end options for automation of ML workflows
  • List key Amazon SageMaker features for MLOps automation
  • Build an automated ML process that builds, trains, tests and deploys models
  • Build an automated ML process that retrains the model based on change(s) to the model code
  • Maximize confidence in the ML release process
  • Deployment operations
  • Identify potential security threats in ML and explain basic mitigation approaches
  • Describe why monitoring is important
  • Detect data drifts in the underlying input data
  • Demonstrate how to monitor ML models for bias
  • Explain how to monitor model resource consumption and latency
  • Discuss how to integrate human-in-the-loop reviews of model results in production.

 

 

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

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.

1950 + If you accept merging of other students. Incl. Official Courseware
8 Hours
Ultra-Fast Track
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1700 Per Participant Incl. Official Courseware
Online
12 - 14 Dec
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
16 - 18 Jan
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Course Prerequisites

Required

Recommended

  • The Elements of Data Science or equivalent experience
  • Machine Learning Terminology and Process

 

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FAQ's


You can request a refund if you do not wish to enroll in the course.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, Goa, Delhi, Bangalore.
Yes you can request your customer experience manager for the same.
In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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, you can pay from the course page and flexi page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
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.
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We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Official courseware
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 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
Yes.
No, it is not included.

Prices & Payments

Yes, We are
Yes of course.

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

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