SKU: 96467859291

Land Rover Discovery 2 engine ECU / ECM control module repair service by post

$112.05 $124.50
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Ships within 48 hours · Estimated delivery Aug 15 - Aug 20

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Description

Land Rover Discovery 2 engine ECU / ECM control module repair service by postPLEASE NOTE THIS IS A REPAIR SERVICE AND NOT A PHYSICAL PRODUCT !!!! This is not a replacement ! It is a repair service on your existing ECU unit. The repair price of 249 is just an average cost. So please enquire for an exact quote before sending in. Your ecu will be tested by a technician with many years of experience. If your ECU is tested and no faults are found there will be a small test fee instead of the repair cost. We must have your vehicle

PLEASE NOTE THIS IS A REPAIR SERVICE AND NOT A PHYSICAL PRODUCT !!!!

This is not a replacement !

It is a repair service on your existing ECU unit.

The repair price of £249 is just an average cost. So please enquire for an exact quote before sending in.

Your ecu will be tested by a technician with many years of experience.

If your ECU is tested and no faults are found there will be a small test fee instead of the repair cost.

We must have your vehicle fault description and any fault codes to test for the particular fault you have.

Contact us first with your ECU part number or a picture of your ecu label for an instant quote. 

Contact information is in the business seller section below.

Once your ecu is repaired it does not need programming it will be just simple plug & plug

Please DO NOT click buy it now until the job is complete.

Some repairs take longer than others depending on the extent of the damage (ie water ingress or rare components).

There are many types of ecu some are harder to test than others depending on the fault description so please bare with us.

If in the unlikely event that your unit is beyond economical repair. You will be contacted and we will try our best to find a solution for you ie finding a replacement for you.

I TEST & REPAIR 90% OF ALL ECU'S ANY MAKE & MODEL PLEASE ASK.
















Other part numbers that can be looked at are;

0261204476  NNN100470

0261204477  NNN100480

0261204895  NNN100640

0261204901  NNN100660

0261204902  NNN100330

AMR 2942  80432 A

ERR 6802  80693 A

0281001676  ERR 7108

0281001677  ERR 7112

MSB000050

MSB000080

MSB101171

MSB101181

MSB101183

MSB101184

MSB101192

MSB101330

MSB101360

NNN000120

NNN000130

NNN500020

NNN500250

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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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: 96467859291

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4.5 ★★★★★
Based on 16 reviews
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Product Reviews
A
Allen Wyma
Draper, US
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
O
Om S
Grantham, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Charlottesville, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
West Palm Beach, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
New York, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025

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