MLOps Courses and Certifications

MLflow in Action - Master the art of MLOps using MLflow tool

1054 ratings at Udemy

A master guide to unleash the full potential of MLflow to optimize MLOps. Streamline MLOps workflows using MLflow tool

• Udemy
• 9 hours 15 minutes
• On-Demand
• Paid Course

Coursera

Engineer Features and Evaluate Models for Production

Discover how to build production-grade ML systems with robust feature engineering pipelines and advanced model evaluation techniques using scikit-learn and TensorBoard.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

Building AI with Bedrock Agent

Develop enterprise-grade AI applications using AWS Bedrock and Python. Master MLOps, IaC, DataOps, and UI creation for generative AI solutions in this hands-on program.

• edX
• 4 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera Microcredential

ML Production Systems

Master containerization, deployment, and MLOps practices to transform ML models into scalable production systems using Docker, Kubernetes, and automated pipelines.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Coursera

Automate, Evaluate and Deploy ML Models Confidently

Master production-grade MLOps by building automated CI/CD pipelines with GitHub Actions, analyzing Optuna trials, and implementing validation gates for confident model deployment.

• Coursera
• 2 hours 49 minutes
• On-Demand
• Paid Course

Coursera

Deploy, Evaluate and Create AI Systems

Master production-ready AI deployment with containerization, performance optimization, and zero-downtime strategies to prevent the 70% failure rate plaguing AI models.

• Coursera
• 2 hours 7 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Paid Course

Coursera

Secure AI Model Deployments & Lifecycles

Master secure AI model deployment strategies, registry management, and lifecycle monitoring to confidently ship production-ready models with proper governance and risk controls.

• Coursera
• 4 hours 12 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Paid Course

Master systematic patching, incident response, and monitoring for production AI systems through hands-on scenarios with real crisis simulations and industry tools.

• Coursera
• 4 hours 20 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Coursera

Deploy & Optimize ML Services Confidently

Master production ML deployment with FastAPI, CI/CD automation, and performance monitoring to build scalable inference services meeting 100ms SLA targets.

• Coursera
• 2 hours 29 minutes
• On-Demand
• 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
• On-Demand
• Paid Course