maxi cosi folding car seat Maxi-Cosi Nomad Plus Folding Car Seat in Authentic Black
SKU: 1752863020
maxi cosi folding car seat

maxi cosi folding car seat Maxi-Cosi Nomad Plus Folding Car Seat in Authentic Black

Sale price$20.58 Regular price$22.87
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Description

maxi cosi folding car seat Maxi-Cosi Nomad Plus Folding Car Seat in Authentic BlackNomad Plus Plus Folding Car Seat in Authentic Black Travelling with children has never been easier even without your own car. Whether youre jumping in an Uber, renting a car to see the grandparents, or jetting off on your summer holidays, family travel feels free & easy with the Nomad Plus Folding Car Seat. Only one third of the weight of a regular toddler seat, the Nomad Plus folds so compactly, its perfect for travelling light. Nomad Plus is quick

Nomad Plus Plus Folding Car Seat in Authentic Black

Travelling with children has never been easier – even without your own car. Whether you’re jumping in an Uber, renting a car to see the grandparents, or jetting off on your summer holidays, family travel feels free & easy with the Nomad Plus Folding Car Seat. 

Only one-third of the weight of a regular toddler seat, the Nomad Plus folds so compactly, it’s perfect for travelling light. Nomad Plus is quick to install (less than 30secs) and super-easy to carry, so your child can travel safely and in comfort, everywhere you go.

SAFETY

Wherever you’re heading, by taking your own trusted car seat with you, you can relax knowing that your child is fully protected and safe with the seat’s reinforced Side Impact Protection. As well as nestled in its soft fabrics and extra-comfy padded seat, your little one will always be snug and comfortable travelling from one adventure to the next.

INSTALLATION

As its name suggests, everything about Nomad Plus has been built to travel. Designed for children between 15 months and 4 years old, it’s so quick and easy to fit into any car using the seat belt.

Ultra-compact and light, it’s easy to fold and even has a built-in handle so it’s super-easy to pick up – and when you have your hands full with the kids, you can pack it away into its own travel bag and throw it over your shoulder. Easy.

FREEDOM TO TRAVEL

For modern families on the move, the Maxi-Cosi Nomad Plus is the car seat you can easily take with you, wherever you go.

How to install:


Key Features:

  • Suitable from approx. 15 months up to 4 year
  • 76cm - 105cm (9-18kgs)
  • Easy to transport everywhere
  • Quick universal installation
  • Easy harness and headrest adjustment
  • Easy-to-remove washable fabrics
  • Lightweight
  • Comfortable for the child
  • Adjustable headrest
  • Reinforced side protection
  • Belt routine is always visible
  • 5-point safety harness
  • Anti-slippery shoulder pads
  • Foldable car seat
  • Water-repellent carrying bag
  • Forward-facing car seat
  • R129

Specifications:

Suitable from approx. 15 months up to 4 year
Weight: less than 4 kg
Child Weight Capacity: 9 - 18kg

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SKU: 1752863020

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Scott J. Pearson
Bozeman, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
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Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Lexington, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Fort Morgan, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
M
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Matt B
Chelsea, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024
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SR
Lowell, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024

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