SKU: 85960154727

VW Audi Intercooler 1.5L Petrol 04E145785P

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Description

VW Audi Intercooler 1.5L Petrol 04E145785PYear Make Model Engine Size Engine Code 2016 2026 Volkswagen Tiguan 1. 5 Petrol DADA 2016 2026 Volkswagen Touran 1. 5 Petrol DADA 2018 2026 Volkswagen T roc 1. 5 Petrol DADA 2018 2026 Skoda Karoq 1. 5 Petrol DADA 2016 2026 Seat Ateca 1. 5 Petrol DADA 2020 2026 Seat Leon 1. 5 Petrol DADA 2016 2026 Audi A3 1. 5 Petrol DADA 2016 2026 Audi Q3 1. 5 Petrol DADA Thank you for shopping with Dragon Autoparts! Please be aware that unless stated all of our parts


Year Make Model Engine Size Engine Code
2016-2026 Volkswagen Tiguan 1.5 Petrol DADA
2016-2026 Volkswagen Touran 1.5 Petrol DADA
2018-2026 Volkswagen T-roc 1.5 Petrol DADA
2018-2026 Skoda Karoq 1.5 Petrol DADA
2016-2026 Seat Ateca 1.5 Petrol DADA
2020-2026 Seat Leon 1.5 Petrol DADA
2016-2026 Audi A3 1.5 Petrol DADA
2016-2026 Audi Q3 1.5 Petrol DADA

 

Thank you for shopping with Dragon Autoparts! Please be aware that unless stated all of our parts are used and taken off of running vehicles. If for whatever reason you do have a problem or any questions please do contact us via email or by telephoning our office.

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SKU: 85960154727

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4.0 ★★★★★
Based on 15 reviews
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Verified Purchase
TheTechGuyz
Massapequa, US
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 16, 2026
S
Verified Purchase
Steve Wilson
Massapequa, US
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security. This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation. One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered. If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 12, 2024
N
Verified Purchase
Niti Sharma
Los Angeles, US
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026
C
Verified Purchase
Catalina J.
West Palm Beach, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 4, 2025
B
Verified Purchase
Brian
Grantham, US
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024

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