MLOps Courses and Certifications

Coursera

Orchestrate, Analyze, and Evaluate AI Deployments

Master MLOps deployment lifecycle with CI/CD, Kubernetes, and GitLab. Analyze telemetry data, troubleshoot performance issues, and evaluate AI model success against business KPIs.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

Coursera

Track and Evaluate ML Model Experiments

Master systematic ML experiment tracking with DVC and Weights & Biases to build reproducible, auditable workflows that eliminate "it worked on my machine" problems.

• Coursera
• 2 hours 57 minutes
• Self-Paced
• Paid Course

Coursera

Optimize LLM Costs & Streamline Processes

Discover how to reduce LLM costs through quantization and streamline ML workflows using Value-Stream Mapping for operational excellence in AI projects.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Coursera

Validating and Safeguarding Production AI

Discover how to build robust production AI systems with automated monitoring, drift detection, secure deployment, and continuous retraining pipelines for reliable MLOps.

• Coursera
• 16 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in Production AI

Unlock strategic career advancement in production AI by building portfolios, mastering technical interviews, and positioning yourself for senior roles like MLOps Engineer and AI Architect.

• Coursera
• 1 hour 23 minutes
• Self-Paced
• Paid Course

Coursera

Automate, Analyze, and AI Feedback

Master building resilient MLOps systems with Human-in-the-Loop pipelines, advanced model evaluation, and automated retraining to combat model drift and ensure lasting AI performance.

• Coursera
• 2 hours 35 minutes
• Self-Paced
• Paid Course

Coursera

Automate, Optimize, and Monitor ML Models

Master MLOps skills to detect model drift, implement automated retraining workflows, and create optimized pipelines that maintain performance at scale.

• Coursera
• 1 hour 31 minutes
• Self-Paced
• Paid Course

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

Packt

Optimizing, Deploying, and Governing LLMs in the Enterprise

Master the full lifecycle of enterprise LLMs—from data strategies and optimized inferencing to deployment, monitoring, and responsible AI practices—while exploring emerging multimodal trends.

• Coursera
• 8 hours
• Self-Paced
• Paid Course

Coursera

Calibrate and Serve Confident AI Predictions

Master model calibration and serverless deployment—apply temperature scaling, compute calibration metrics, and build AWS Lambda batch-inference pipelines for trustworthy, production-ready AI predictions.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

DevOps, DataOps, MLOps

230 ratings at Coursera

Master MLOps: Build AI solutions using Python and Rust. Learn DevOps, DataOps, and MLOps pipelines. Apply pre-trained models, simulations, and GPU acceleration for real-world machine learning problems.

• Coursera
• 1 day 20 hours 43 minutes
• Self-Paced
• Paid Course

MLOps Fundamentals - Learn MLOps Concepts with Azure demo

9743 ratings at Udemy

Learn MLOps basics of Continuous Integration, Delivery using Azure DevOps and Azure ML. Create MLOps pipeline in Azure.

• Udemy
• 2 hours 54 minutes
• Self-Paced
• Paid Course

Face Recognition with Machine Learning + Deploy Flask App

493 ratings at Udemy

Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy

• Udemy
• 10 hours 48 minutes
• Self-Paced
• Paid Course

Azure Machine Learning & MLOps : Beginner to Advance

9085 ratings at Udemy

The most compressive course covering MLOps and machine learning on Azure | Zero to Hero

• Udemy
• 19 hours 18 minutes
• Self-Paced
• Paid Course

End-to-End Machine Learning: From Idea to Implementation

432 ratings at Udemy

Build, Manage, and Deploy Machine Learning (AI) Projects with Python and MLOps

• Udemy
• 1 day 11 hours 56 minutes
• Self-Paced
• Paid Course