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Description
NGK Ignition Coil for Audi A4, S4, RS4, A6 1.8T & S6 / S8 - U5004Vehicle Fitment & Part Details This NGK ignition coil (U5004) is supplied as a replacement for the Audi A4 (1. 8 T S4 RS4, 1995 2005). OE 058 905 105. Also fits VW applications listed below. Confirm compatibility by matching the listed fitment details and any OEM reference numbers supplied. Verify VIN engine. Key Details SKU U5004 Component Ignition Coil Brand NGK Part MPN 48008 GTIN Barcode 4010326480086 Primary Fitment Audi A4 (1. 8 T S4 RS4) 1995
Vehicle Fitment & Part Details
This NGK ignition coil (U5004) is supplied as a replacement for the Audi A4 (1.8 T / S4 / RS4, 1995-2005). OE 058 905 105. Also fits VW applications listed below. Confirm compatibility by matching the listed fitment details and any OEM reference numbers supplied. Verify VIN/engine.
Key Details
- SKU
- U5004
- Component
- Ignition Coil
- Brand
- NGK
- Part MPN
- 48008
- GTIN / Barcode
- 4010326480086
- Primary Fitment
- Audi A4 (1.8 T / S4 / RS4) 1995-2005
OEM Reference Numbers
- Audi / VW: 058 905 101, 058 905 105
- Bosch: 0 986 221 011, 0 986 22A 203
- Bremi: 11869
- Delphi: CE20 019, CE20019 12B1
- Hella: 5DA 358 000 051, 5DA 749 475 121, 5DA 749 475 771
Product Specifications
- Number of Inlets/Outlets
- 1
- Number of Pins
- 3
- Connector Type
- SAE
- Supplementary Info
- With seal ring
- Brand Class
- Premium
Vehicle Fitment
Includes 9 supplied applications.
View Full Vehicle Fitment (9 applications)
| Make | Model / Chassis | Engine | Years |
|---|---|---|---|
| Audi | A3 (8L1) | Petrol 1.8 T / 1.8 T quattro | 1996-2003 |
| Audi | A4 B5 (8D) / Avant / S4 quattro / RS4 quattro | Petrol 1.8 T / quattro / S4 2.7T / RS4 2.7T | 1995-2001 |
| Audi | A6 C4 (4A) / Avant / S6 Plus quattro | Petrol 4.2 V8 S6 Plus | 1996-1997 |
| Audi | A6 C5 (4B) / Avant | Petrol 1.8 T / quattro / 2.7 T / 2.7 T quattro | 1997-2005 |
| Audi | A8 D2 (4D) / S8 quattro | Petrol 4.2 quattro / S8 4.2 | 1994-1999 |
| Audi | Allroad C5 (4BH) | Petrol 2.7 T quattro | 2000-2005 |
| VW | Golf IV (1J) / Variant | Petrol 1.8 T | 1997-2006 |
| VW | Passat B5 (3B) / Variant | Petrol 1.8 T | 1996-2000 |
| VW | Sharan (7M) | Petrol 1.8 T 20V | 1997-2010 |
Fitment Notes
- Always match OEM reference number(s) and vehicle details before ordering. Verify VIN/engine.
Installation / Use / Maintenance Tips
- Disconnect the battery before removing the existing coil.
- Inspect the high-tension lead, distributor cap and rotor for wear before fitting a new coil.
- Match the OEM reference number on the existing coil to the supplied cross-reference list to confirm fit.
- Ensure all wiring connectors are clean, dry and free of corrosion before reconnecting.
- Tighten the coil mounting bolts to the vehicle manufacturer’s specification only.
Common Questions
Will this NGK ignition coil fit my Audi A4?
This part (U5004) is listed for the fitments shown on this page. Confirm by matching the fitment details. Verify VIN/engine.
Which OEM coil does this NGK U-series part replace?
It replaces OEM reference 058 905 105 and the additional cross-references listed above. Always match the OEM number on your existing coil before ordering.
Is NGK a quality ignition coil brand?
NGK is an OEM-grade ignition specialist supplying coils, plugs and lambda sensors to many vehicle manufacturers. This product is supplied as a Premium-class replacement.
How do I confirm fitment if there are multiple variants?
Compare the supplied fitment details to your vehicle. Verify VIN/engine. If unsure, request fitment assistance before ordering.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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
4.3 ★★★★★
Based on 26 reviews
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Product Reviews
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you.
Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”.
I use this as a reference when teaching AI concepts and preparing presentations.
I highly recommend it
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Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
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