---
product_id: 651217031
title: "MLOps Engineering at Scale"
price: "15783 som"
currency: KGS
in_stock: true
reviews_count: 2
url: https://www.desertcart.kg/products/651217031-mlops-engineering-at-scale
store_origin: KG
region: Kyrgyzstan
---

# 730 pages of deep expertise Scalable engineering strategies Comprehensive MLOps framework MLOps Engineering at Scale

**Price:** 15783 som
**Availability:** ✅ In Stock

## Summary

> 🚀 Elevate your AI game with the ultimate MLOps playbook!

## Quick Answers

- **What is this?** MLOps Engineering at Scale
- **How much does it cost?** 15783 som with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.kg](https://www.desertcart.kg/products/651217031-mlops-engineering-at-scale)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Master MLOps at Scale:** Unlock advanced workflows to streamline your AI projects
- • **Future-Proof Your Career:** Stay ahead with cutting-edge MLOps methodologies
- • **Industry-Ready Practices:** Adopt proven techniques trusted by top AI teams
- • **Trusted by Professionals:** Rated 4.3 stars for practical, actionable insights
- • **Deep Learning Demystified:** Gain in-depth knowledge to confidently deploy ML models

## Overview

MLOps Engineering at Scale by Carl Osipov is a 730-page comprehensive guide published by Manning Publications, offering in-depth coverage of scalable machine learning operations and deep learning deployment strategies. Highly rated by professionals, it equips readers with industry-standard practices to excel in AI engineering.

## Description

Buy MLOps Engineering at Scale by Osipov, Carl online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase.

Review: As a female data scientist, I had trouble working with the rest of the team when having to deploy my deep learning and other machine learning models in the cloud. I felt that I didn't have enough of the understanding of the PyTorch workings to train the models and get them ready for production. Also, most of my data science coursework was on a laptop so I didn't really understand or get what to do with the cloud. Fortunately, this book walked me through an entire project using a single dataset, from data clean up to model training. Along the way, I learned how to setup the project in the cloud, how to use PyTorch properly, and how to take advantage of distributed training in desertcart Web Services. The book helped me fill in the blanks in the MLOps that I didn't realize I missed from studying machine learning and data science.
Review: I spent about 2-3 months reading through this book. There is just so much good stuff. I used to think that I understood automatic differentiation but I didn't. I actually did the project from the book to implement a small scale autodiff and then I realized how important it is for distributed (scalable) deep learning. Before I used to be a TensorFlow guy, now I'm PyTorch all the way. Do yourself a favor and study this book! This will help you in interviews and your deep learning projects. Highly recommended!

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Customer reviews | 4.3 4.3 out of 5 stars (5) |
| Dimensions  | 18.73 x 1.78 x 23.5 cm |
| Edition  | 1st |
| ISBN-10  | 1617297763 |
| ISBN-13  | 978-1617297762 |
| Item weight  | 567 g |
| Language  | English |
| Print length  | 250 pages |
| Publication date  | 16 March 2022 |
| Publisher  | Manning Publications |

## Images

![MLOps Engineering at Scale - Image 1](https://m.media-amazon.com/images/I/61GcSn2xEhL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by A***A on 9 March 2022*

As a female data scientist, I had trouble working with the rest of the team when having to deploy my deep learning and other machine learning models in the cloud. I felt that I didn't have enough of the understanding of the PyTorch workings to train the models and get them ready for production. Also, most of my data science coursework was on a laptop so I didn't really understand or get what to do with the cloud. Fortunately, this book walked me through an entire project using a single dataset, from data clean up to model training. Along the way, I learned how to setup the project in the cloud, how to use PyTorch properly, and how to take advantage of distributed training in Amazon Web Services. The book helped me fill in the blanks in the MLOps that I didn't realize I missed from studying machine learning and data science.

### ⭐⭐⭐⭐⭐ Review
*by A***S on 27 March 2022*

I spent about 2-3 months reading through this book. There is just so much good stuff. I used to think that I understood automatic differentiation but I didn't. I actually did the project from the book to implement a small scale autodiff and then I realized how important it is for distributed (scalable) deep learning. Before I used to be a TensorFlow guy, now I'm PyTorch all the way. Do yourself a favor and study this book! This will help you in interviews and your deep learning projects. Highly recommended!

## Frequently Bought Together

- MLOps Engineering at Scale
- LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

---

## Why Shop on Desertcart?

- 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016
- 🌍 **Shop Globally** — Access 737+ million products across 21 categories
- 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price
- 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members)
- 🔒 **Secure Payments** — Trusted payment options with buyer protection
- ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews

**Shop now:** [https://www.desertcart.kg/products/651217031-mlops-engineering-at-scale](https://www.desertcart.kg/products/651217031-mlops-engineering-at-scale)

---

*Product available on Desertcart Kyrgyzstan*
*Store origin: KG*
*Last updated: 2026-03-04*