Deploying AI Models in Production: From Prototype to Scalable Solution

Deploying AI Models in Production

Learn the full process of deploying AI models to production. Master best practices, infrastructure setup, and monitoring strategies for real-world .

Course Overview

This course provides a comprehensive guide to deploying AI models in real-world production settings. You will explore different deployment strategies, infrastructure choices, model monitoring, and scaling techniques to ensure smooth AI operations.

FAQ

No, but familiarity with basic cloud concepts (like virtual machines and storage) helps. We cover cloud deployment basics in the course.

Yes. You'll take models from training to live APIs with monitoring and scaling in practice projects.

Course curriculum

Deploying AI Models-Quiz
0:10:0

Requirment

Basic Python and ML knowledge
Familiarity with deep learning (PyTorch or TensorFlow)
Some understanding of APIs and Docker (helpful but not mandatory)

Outcomes

Deploy AI models as REST APIs
Use Docker to containerize models
Monitor and manage models in production

₹3999

~~₹4999~~

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language
English
Duration
00h 10m
Level
beginner
Expiry period
Lifetime
Certificate
Yes

Deploying AI Models in Production

Course Overview

FAQ

Course curriculum

Requirment

Outcomes

₹3999

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Deploying AI Models in Production

Course Overview

FAQ

Do I need cloud experience to take this course?

Will I build and deploy real models?

Course curriculum

Introduction to AI Deployment

Infrastructure and Deployment Strategies

Model Monitoring & Optimization

Advanced AI Deployment Strategies

Quiz

Requirment

Outcomes

₹3999