AI Skillset Course
AI Agents and MLOps for Production-Ready AI image
Current
Intermediate

AI Agents and MLOps for Production-Ready AI

Coursera · Packt · Updated March 2026

Platform rating

4.4/5

Champ rating

8.2/10

Duration

1-4 weeks

Classes

36

Learn AI agents and MLOps for production including LangGraph, CrewAI, Docker, Kubernetes, and cloud deployment on AWS/GCP/Azure.

What you'll get

Deploy models to production with Docker and Kubernetes
Scale ML systems for high-throughput inference
Build AI agent systems for production

Fit

Best for

Software Engineers
DevOps/MLOps Engineers
Data Engineers
Platform Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Python, basic ML

Pricing

Subscription

Certification

Certificate

MLOps
AI Agents
Docker
Kubernetes
LangGraph
CrewAI
Go to Course

Alternatives to AI Agents and MLOps for Production-Ready AI

Current

IBM MLOps and AI DevOps Fundamentals

IBM Skills Network (watsonx) · IBM

4.7
8.7/10
15 hours

Learn MLOps practices with IBM Cloud Pak and Watson. Cover model lifecycle management, CI/CD for ML, and AI governance.

Free
View
Current

Deep Learning Engineering

Coursera · Coursera

4.4
8.2/10
1-3 months

Advanced specialization covering PyTorch, distributed computing, model deployment, Kubernetes, and performance tuning for production deep learning.

Subscription
View
Current

Hands-On MLOps Fundamentals for ML Engineers

Coursera · KodeKloud

4.4
8.2/10
1-3 months

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

Subscription
View
Current

MLOps | Machine Learning Operations (Duke University)

Coursera · Duke University

4.4
8.2/10
3-6 months

Learn MLOps from Duke University. Cover model deployment, cloud platforms (AWS, Azure), containerization, and responsible AI.

Subscription
View