Averest Logo
Accreditation With .
MLOps Engineering on AWS Overview
This 3-day intermediate-level training is designed to help professionals streamline the ML lifecycle with AWS MLOps tools. Participants will learn how to deploy, monitor, and scale ML models efficiently while ensuring security, governance, and compliance. The course covers AWS SageMaker, CI/CD pipelines, model monitoring, and infrastructure automation for ML workflows.
What You Will Learn ?
  • Understand the fundamentals of MLOps and its significance
  • Automate model training, deployment, and scaling on AWS
  • Build end-to-end ML pipelines using AWS SageMaker and CI/CD tools
  • Deploy and monitor machine learning models with AWS SageMaker Model Monitor
  • Utilize AWS services like Lambda, Step Functions, and CloudFormation for automation
  • Implement security best practices for machine learning models
  • Optimize model performance and cost-efficiency
Course Key Features
  • Duration: 3 Days
  • Level: Intermediate
  • Hands-on Labs & Real-World Use Cases
  • AWS-Certified Instructors
  • Official AWS Curriculum
  • Certificate of Completion
Training Options
In-Class Training
  • 3-day in-class training
  • Official AWS Curriculum
  • After-course instructor coaching benefit
  • Exam voucher included with course tuition
  • Pre-course consultation
  • Highly experienced instructor(s)
  • Post-course follow-up
  • All related Averest's quality control tools and required stationery
  • 5 or 4 stars training venue
  • Pay later by invoice -OR- at the time of checkout by credit card
  • Continuous learner assistance and support
Enroll Now
Online - Instructor Led
  • 3-day instructor-led training course
  • Live, online classroom training by top instructors and practitioners
  • Official AWS Curriculum
  • After-course instructor coaching benefit
  • Exam voucher included with course tuition
  • One-on-one after course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card
  • Continuous learner assistance and support
Enroll Now
Corporate Training
  • A highly customized Corporate Training service designed exclusively for corporate employees and teams. Our training programs are meticulously planned and executed to fill knowledge and experience gaps, helping organizations achieve their business goals. With a comprehensive assessment and tailored curriculum, our experienced trainers deliver modules in areas of accreditation requirements as well as complementary practices such as leadership, communication, and technology adoption. Official certification exam voucher is provided upon completion, ensuring professional growth and measurable results. Contact us now to partner with Averest Training in order to bridge the gaps in your workforce and unlock the full potential of your team.
Contact Now
Schedules
Filters:
No results found for selected filters.
MLOps Engineering on AWS Training Cirriculum
Eligibility .
There are no strict prerequisites for this course. However, a basic understanding of IT concepts and networking fundamentals would be beneficial. Prior experience with cloud computing is helpful but not required.
Pre-requisites .
Basic knowledge of IT concepts. Familiarity with networking and cloud computing fundamentals is beneficial but not required.
MLOps Engineering on AWS Course Content .
+
Module 1 Introduction to MLOps.
+
Module 2 Automating ML Pipelines.
+
Module 3 Model Deployment & Scaling.
+
Module 4 Model Monitoring & Governance.
+
Module 5 CI/CD for ML.