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Hands-On MLOps Fundamentals for ML Engineers

Coursera · KodeKloud · Updated March 2026

Platform rating

4.4/5

Champ rating

8.2/10

Duration

1-3 months

Classes

60

Learn MLOps with hands-on experience using Apache Airflow, Kafka, Spark, and CI/CD pipelines for model deployment.

What you'll get

Build end-to-end ML pipelines with CI/CD

Orchestrate workflows with Apache Airflow

Deploy and monitor ML models in production

Course Curriculum

6 chapters

Fit

Best for

Software Engineers

DevOps/MLOps Engineers

Data Engineers

Platform Engineers

Not ideal for

Complete beginners

Non-technical learners

Prerequisites & pricing

Prerequisites

Basic Python, ML fundamentals

Pricing

Subscription

Certification

Certificate

MLOps

Apache Airflow

Kafka

CI/CD

Data Pipelines

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