Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Codecademy

Best Practices in AI Deployment

via Codecademy

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Production AI is more than training models—it's about keeping them running reliably for real users. This MLOps course teaches you essential machine learning operations practices through building an AI-powered customer support chatbot. You'll learn to monitor performance metrics, protect user privacy, detect model drift, optimize costs, and respond to incidents. Master the skills to deploy AI systems that stay accurate, secure, and efficient in the real world. Perfect for developers ready to take their models from laptop to production.

Syllabus

  • Best Practices in AI Deployment: Master production AI essentials including performance monitoring, privacy protection, model evaluation, cost optimization, bias detection, and incident response
    • Lesson: Best Practices in AI Deployment
    • Project: Analyzing Recommendation System Performance Across Model Versions
    • Quiz: Best Practices in AI Deployment Quiz
    • Informational: Best Practices in AI Deployment Next Steps

Reviews

3 rating at Codecademy based on 2 ratings

Start your review of Best Practices in AI Deployment

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.