AWS MLOps Training Course & Certification Program

Learnitfy’s AWS MLOps training course provides the knowledge to data scientists, engineers and professionals to effectively operationalise machine learning models in the field of AI. A combination of theory and practical labs, this course explains how to successfully deploy, monitor and scale ML systems across the development and production environments.

40 hours1-on-1 TrainingNext live batch Mon, 2 Nov, 2026

AWS MLOps Training Course & Certification Program course cover

Course Content

AWS MLOps Course Overview

AWS MLOps Training Objectives

AWS MLOps training includes CI/CD for ML, model versioning, automated checking, monitoring, and governance. Learners can also study how to reduce the gap between data science and data engineering and make models robust, reproducible, and alignment with business objectives in realistic production pipelines with AWS MLOPs course.

What you Will Learn

Understand MLOps principles and lifecycle management.

Implement CI/CD pipelines for <a href="https://en.wikipedia.org/wiki/Machine_learning">machine learning</a> workflows.

Manage model versioning and reproducibility.

Automate model training, testing, and deployment.

Monitor models for drift, bias, and performance degradation.

Integrate tools like MLflow, Kubeflow, and Docker.

Ensure scalability, reliability, and compliance of ML systems.

Apply best practices to deliver production-ready AI solutions.

Who should enroll

MLOps engineers
DevOps engineers
ML engineers
Developers/operations engineers

Prerequisites

<a href="https://skillbuilder.aws/learn/K8C2FNZM6X/aws-technical-essentials/N7Q3SXQCDY">AWS Technical Essentials</a>
DevOps basics
Basic knowledge of Machine Learning

Curriculum

Module 1MLOps IntroductionRead moreShow less

What is MLOps & MLOps Motivation
Solutions and Future Trends
MLOps Components
Different Roles involved in MLOps ( ML Engineering + Operations )
Machine Learning Life Cycle
MLOps Vs DevOps
Major Phases — what it takes to master MLOps
Different tools for MLOps
MLOps Maturity Model Levels
MLOps - Stages Of CI / CD
Benifits Of AWS MLOps
AWS CI/CD MLOps Pipeline
Versioning of data and models in ML projects using DVC and AWS S3

Module 2MLOps - AWS Eco SystemRead moreShow less

AWS Sagemaker
AWS CodeCommit
AWS CodePipeline
AWS CodeBuild
AWS CodeDeploy
AWS Cloudwatch
AWS API Gateway

Module 3AWS MLOps - SagemakerRead moreShow less

Introduction to Amazon Sagemaker
Amazon SageMaker Notebooks and SDK
Notebooks and Libraries: Cleaning and Preparing Data
Amazon SageMaker Algorithms
SageMaker/ML Terminology and Algorithms
Hyperparameter Tuning
Integrating Amazon SageMaker with your Applications
Sagemaker Training Job
Sage Maker Endpoint

HELP CENTER

Frequently Asked Questions

Learnitfy is a learning platform designed for students, professionals, teams, and organisations seeking to develop their technical skills and proficiency. AWS MLOps training gives you confidence, verifies your knowledge, and helps you become employable when competing in other industries, as it enables learners to form their own uniqueness within careers.

Course Brochure

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Choose how you learn

One course. Flexible learning paths.

Instructor-led training

Live instructor-led

40 hours

Corporate training

Custom team training

Need individual attention? Ask about one-to-one guidance in the enquiry form.