E-Books
Beginner's Guide to AI Engineering
Build Powerful AI Applications Without Being an AI Expert
AI is transforming every industry, but most guides focus on complex theory rather than practical applications.
What if you could create sophisticated AI solutions using existing foundation models—without years of specialized ML training?
This concise guide shows you exactly how to build real-world AI applications, even if you're just starting out. Forget massive textbooks and complex mathematics—this is AI engineering for practical people.
Inside This 100-Page Guide:
Harness the power of foundation models to build applications that would have been impossible just a few years ago
Master 3 key model adaptation techniques to customize AI for your specific use cases
Implement RAG and tool calling to overcome foundation model limitations
Design intuitive AI interfaces that users understand and trust
Evaluate your AI applications with practical frameworks and metrics
Develop the mindset and skills that distinguish successful AI engineers
Perfect For:
✓ Software engineers wanting to add AI to their toolkit
✓ Students seeking practical skills not taught in class
✓ Technical leaders evaluating AI opportunities
✓ Anyone who wants to build AI applications, not just understand theory
What Makes This Guide Different?
"Most AI resources either drown you in theoretical concepts or offer shallow tutorials that don't scale to real applications. This guide bridges that gap—practical enough for beginners but substantive enough for professionals."
This book focuses exclusively on the emerging discipline of AI Engineering—building with existing foundation models rather than training models from scratch. It's the fastest path to creating valuable AI applications in today's landscape.
A Look Inside:
Chapter 1: Introduction to AI Engineering
Discover how AI Engineering differs from traditional software and ML engineering, and why it's the fastest-growing tech discipline today.
Chapter 4: AI Model Adaptation
Learn practical techniques to customize foundation models for your specific use cases, from prompt engineering to fine-tuning approaches.
Chapter 5: AI Model Augmentation
Master strategies to overcome foundation model limitations by connecting them to external knowledge and tools.
Chapter 9: Starting Your First AI Project
Follow a step-by-step roadmap to launch your first successful AI application, avoiding common pitfalls along the way.
Ready to start building AI applications?
Get the essential guide that takes you from concept to implementation in just 100 pages.
Available in PDF and eBook formats. Immediate download after purchase.