SKU: 95907688712

✅AUDI Q7 S LINE 3.0 DIESEL 2009 SEAT MEMORY CONTROL MODULE ECU 4F0959760C A300

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Description

✅AUDI Q7 S LINE 3.0 DIESEL 2009 SEAT MEMORY CONTROL MODULE ECU 4F0959760C A300Description: SEAT MEMORY CONTROL MODULE ECU 4F0959760C Vehicle details: AUDI Q7 S LINE 3. 0 DIESEL 2009 211260 mileage Vehicle Identification No. WAUZZZ4L69D023212 Model Audi Q7 qu. 3. 0 TDI AQ7 Date of production 03. 10. 2008 Year 2009 Sales type 4LB0PL Engine Code CASA Transmission Code KMB Axle drive 6A Equipment QE Roof color P5 Exterior color Paint Code P5 X7W Please check pictures carefully and ensure your part is the same. TERMS: All ECU's we

Description:

SEAT MEMORY CONTROL MODULE ECU 4F0959760C 

Vehicle details:

✅AUDI Q7 S LINE 3.0 DIESEL 2009 

 211260 mileage

Vehicle Identification No.
WAUZZZ4L69D023212
Model
Audi Q7 qu. 3.0 TDI AQ7
Date of production
03.10.2008
Year
2009
Sales type
4LB0PL
Engine Code
CASA
Transmission Code
KMB
Axle drive
6A
Equipment
QE
Roof color
P5

Exterior color / Paint Code
P5 / X7W

Please check pictures carefully and ensure your part is the same. 

TERMS:

All ECU's we are selling are removed from a vehicle without any reprogramming or resetting. PLEASE MAKE SURE YOU WILL BE ABLE TO INSTALL, RESET OR PROGRAM IT ON YOUR OWN, IF NEEDED.

 

Engines

 

Engine need to be fitted by qualified mechanics for any warranty to be valid. We recommend a new timing belt / cam belt kit, as this is one of the most common reasons for engine failure. Any accessories that are left on engine are free of charge and warranty on them does not apply, warranty only apply for bare engine. We ship our engines and gearboxes with no oil. Please refill the engine/gearbox with manufacturers recommended oil grade before attempting to start the engine

 

Warranty and Returns

Please Note: Unwanted orders will be collected subject to a 25% charge depending on your order (to cover the carrier's charges) this also includes failed deliveries after 3 attempts and refused orders at the point of delivery. This does not apply to products which are faulty - these will be collected/replaced free of charge.

All items come with a 30 days warranty from the date of purchase. Warranty relates to the supplied part(s) only, it expressly excludes any consequential loss & fitting/ labour charges. If an item arrive faulty, damaged or was lost in the post, we will send you a replacement. If a replacement is not available, then a full refund will be issued. If you buy the item by mistake, you change your mind or don't check part number, you are welcome to send the item back at your expense. If any unauthorized alterations are found to have been made to a part then any return will be refused. Refunds are issued within 1-2 working days of part returned.

Please note Delivery includes a main land delivery to Scotland, Northern Ireland any Islands will be for extra charge. Please request delivery price to your location. Thanks.

Authorised Treatment Facility (ATF) Waste Permit No.
EPR/WE0582AC/A001

Shipping Notes
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 95907688712

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"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.
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Reviewed in the United States on August 12, 2024
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Niti Sharma
Louisville, US
★★★★★ 4
Good and thorough!
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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.
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Catalina J.
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Reviewed in the United States on November 4, 2025
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Brian
Draper, US
★★★★★ 5
solid read with walk through
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