New Release
Available on Google Books
Our book "Generative AI with Local LLM" is now available on Google Books, expanding access to AI enthusiasts and practitioners worldwide.
You don't need to be a machine learning expert to learn Generative AI
A comprehensive and practical roadmap to develop AI application with local LLM inference.
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A step-by-step guide for mastering AI driven application with local LLM inference?
Latest Book News
Recent updates about "Generative AI with Local LLM" book availability and translations
Coming SoonQ4 2025
Going Global
Our AI development book is expanding internationally with a new edition coming in late 2025 through Bombora Publishers, a respected publishing house known for high-quality technical literature.
Why This Book Is Different
"You don't need to be a machine learning expert to learn Generative AI"
100% Practical Approach
Unlike theoretical books, we focus on hands-on development with local LLMs, making AI accessible to everyone.
Lifetime Free Updates
Get free updates as the AI landscape evolves, ensuring your knowledge stays current with the latest developments.
60-Day Money-Back Guarantee
Try the book risk-free. If you're not completely satisfied, get a 100% refund within 60 days.
Real-World Applications
Build practical AI applications including RAG systems, SQL integration, and autonomous AI agents.
Ready to Master Generative AI?
Join readers who are already building their own AI applications with local LLM inference.
Starting at $19
What's Inside the Book
Set Up and Run Local LLMs
Learn how to set up and use Local LLMs inference for AI development.
- Install and configure local models using tools like Ollama
- Run LLMs on local hardware with minimal setup
- Hardware acceleration technics to improve the performance
- Configure local virtual environment for AI development
Generative AI terminology and jargon in plain English
Explore the fundamental concepts of Generative AI
- Natural Language Processing
- How LLM works internally?
- Training LLM
- Prompt engineering
Master Advanced Techniques
Explore advanced AI techniques, including Fine-tuning, RAG and more.
- Dive deeper into cutting-edge techniques like the Model Context Protocol (MCP), integrating local LLMs with remote models (Minions), and optimizing performance for edge computing
- Explore advanced multi-model orchestration, and real-time AI applications
- Apply RAG techniques with private datasets for better accuracy
- Integrate LLMs with SQL databases for Text-to-SQL queries
Reader Testimonials
See what developers, architects, and tech leaders are saying about our practical approach to AI development
VS
"In contrast to my book AI Driven, which targets CxOs, Timur's book offers practical insights for architects and developers. I had the privilege of reading a pre-release version, and as an engineer at heart, I found it easy to follow from chapter to chapter. Highly recommended!"
Victor Shilo
Author of the book "AI Driven"
"In contrast to my book AI Driven, which targets CxOs, Timur's book offers practical insights for architects and developers. I had the privilege of reading a pre-release version, and as an engineer at heart, I found it easy to follow from chapter to chapter. Highly recommended!"
VS
Victor Shilo
Author of the book "AI Driven"
"I really appreciated the effort to explain key concepts and break down the symbolism behind them. Including a code base was a huge plus—it made everything feel solid and practical. The examples were clear and easy to follow, making the learning experience enjoyable and effective."
LT
Lucy Tai
Data Scientist at Growth Engine AI
Meet the Authors
Accelerate your AI learning journey
Learn how to build your own AI application step-by-step. A hands-on guide to AI development with local LLM.
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