SKU: 69905240756

Premium Battery for Asus, Zc551kl, Zenfone 3 Laser 3.85V, 2900mAh - 11.17Wh

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Description

Premium Battery for Asus, Zc551kl, Zenfone 3 Laser 3.85V, 2900mAh - 11.17WhOverview Categories Mobile SmartPhone Battery Compatibles # View Full List of OEM numbers and models here Brand Cameron Sino Voltage 3. 85V Chemistry Li Polymer Capacity 2900mAh Dimensions 71. 80 x 62. 35 x 3. 74mm Weight 70. 0g Bar Code 4894128119081 Type Brand New Original Battery Warranty 1 Year Performance Guaranteed to Meet or Exceed Original Performance Certifications ISO9001, RoHS, and CE * Please make sure that the device manufacturer, The

Overview
Categories
Mobile/SmartPhone Battery
Compatibles #
View Full List of OEM numbers and models here
Brand
Cameron Sino
Voltage
3.85V
Chemistry
Li-Polymer
Capacity
2900mAh
Dimensions
71.80 x 62.35 x 3.74mm
Weight
70.0g
Bar Code
4894128119081
Type
Brand New Original Battery
Warranty
1 Year
Performance
Guaranteed to Meet or Exceed Original Performance
Certifications
ISO9001, RoHS, and CE

* Please make sure that the device manufacturer, The model number and also the battery part number are all listed in our product details. Some manufacturers have more than one battery type fitted in like models. We recommend that you remove the original battery before ordering to confirm this. If you are not sure we may be able to confirm for you.

* Please be advised that some higher capacity batteries are larger than the standard battery from the manufacturers. Please make sure that your model number is shown in the information above before ordering. If there is any doubt contact us first and we can advise if this is a suitable replacement for your device.

Description

Mobile/SmartPhone Battery Articles & Tips

iTEKcanada Offers Free Shipping to All of Canada. ( Free Shipping for All Order over 59$+ ) !
The CS-AUC551SL Mobile/SmartPhone Battery will solve your battery problems or provide you with a spare battery. The CS-AUC551SL Mobile/SmartPhone Battery comes with a 30 day money back guarantee and 1 Year Warranty. Once we have received your new order for the CS-AUC551SL Mobile/SmartPhone Battery, it will be processed within 24-48 hours or on the next business day via CanadaPost Mail.

Purchasing Mobile/SmartPhone Battery
Mobile/SmartPhone Battery by iTEKcanada.com are usually lower in price and usually exceed the performance of OEM Mobile/SmartPhone Battery. Many of iTEKcanada.com’s Mobile/SmartPhone Battery use the same battery cells as OEM batteries.

What is mAh / Wh?
These ratings show battery`s capacity. Think of them as gas in your car tank, the bigger the tank, the more fuel it will carry and your car will drive longer. Same with these batteries, the higher the mAh/Wh, the longer your device will run between recharges.

Will your higher capacity (mAh/Wh) Mobile/SmartPhone Battery work in my device, even though my original battery has a smaller rating?
Definitely! Our batteries are designed to be 100% replacements for original batteries. Higher mAh/Wh rating means longer run time between recharges. The higher the rating the slower it will take for the batteries to drain down. Meaning you will get longer talk time with a higher mAh rating. In other word, higher is the mAh number, better it’ll be for your device.

Quality and Safety
This battery contains advanced technical components and has been tested according to strict CE safety standards. The battery contains a chip that prevents overcharging and short circuiting. Next to this the battery is made from high quality cells that do not suffer from a so-called 'memory effect'.'

Factory Fresh
Batteries lose performance over their lifetime, even when they are not used. Many importers and resellers store their batteries in stock for a long time before they are sold. iTEKcanada.com sends products almost directly from the factory, so you are sure that you will get a brand new high quality battery!

Compatible Devices & Replacements

Compatible Batteries

Device Manufacturer
Battery Number
Asus
0B200-02250000
Asus
C11P1606

Compatible Devices

Device
Manufacturer
Model
Mobile/SmartPhone Battery
Asus
ZC551KL
Mobile/SmartPhone Battery
Asus
ZenFone 3 Laser
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 69905240756

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4.5 ★★★★★
Based on 21 reviews
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Product Reviews
O
Om S
Cuba, 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
San Leandro, 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
New York, 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
Birmingham, 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
R
Ryan Meyer
San Leandro, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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