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Cybersecurity Foundations for AI Learners: A Beginner's Guide to Computer Security, Networking, and Python for Future AI Defenders
| AUTHOR | Dolton, Calvin |
| PUBLISHER | Independently Published (08/15/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
Cybersecurity Foundations for AI Learners is Book 1 in the AI Security Mastery series - your essential beginner's guide to computer security, networking, and Python, purpose-built for the next generation of AI defenders. Whether you are a student, aspiring AI engineer, or tech enthusiast with no prior experience, this book delivers the skills and confidence to secure AI systems in today's fast-moving digital world.
You'll start with the core principles of cybersecurity: how networks operate, how threats emerge, and how to implement practical defense strategies. Then, you'll get hands-on with Python programming to automate security tasks, analyze data, and build simple yet effective security tools - all explained step-by-step with complete, working examples.
What makes this book unique is its focus on bridging traditional cybersecurity expertise with modern AI security needs. You'll not only master foundational concepts but also see how these skills translate directly into safeguarding machine learning models, neural networks, and AI-powered applications - knowledge that will remain valuable as technology evolves.
About the Author
Calvin Dolton is a cybersecurity educator and AI strategist with a proven track record of making complex technical topics accessible. His mission is to prepare readers for the future of AI defense by providing accurate, practical, and up-to-date knowledge in a format anyone can follow.
Part of the AI Security Mastery Series
This book is the first step in a progressive learning journey. The AI Security Mastery series guides you from the fundamentals in Book 1 to advanced techniques in future volumes, covering topics like machine learning for security, AI threat modeling, and cloud-based AI protection. With a consistent branding style and structured learning path, each volume builds on the last - giving you a complete, professional-grade AI security education.
Perfect for:
Beginners starting their cybersecurity and AI defense journey
Students in computer science, AI, or security-related fields
Professionals transitioning into AI-focused security roles
Begin your mastery of AI security today - and be ready for what's next.
Future books in the AI Security Mastery series will take you deeper into the field, including Machine Learning for Security Beginners, Advanced AI Threat Detection, and Cloud AI Security Essentials. Each volume builds on the last, giving you a complete, structured path from foundational skills to expert-level AI security mastery.Cybersecurity Foundations for AI Learners is Book 1 in the AI Security Mastery series - your essential beginner's guide to computer security, networking, and Python, purpose-built for the next generation of AI defenders. Whether you are a student, aspiring AI engineer, or tech enthusiast with no prior experience, this book delivers the skills and confidence to secure AI systems in today's fast-moving digital world.
You'll start with the core principles of cybersecurity: how networks operate, how threats emerge, and how to implement practical defense strategies. Then, you'll get hands-on with Python programming to automate security tasks, analyze data, and build simple yet effective security tools - all explained step-by-step with complete, working examples.
What makes this book unique is its focus on bridging traditional cybersecurity expertise with modern AI security needs. You'll not only master foundational concepts but also see how these skills translate directly into safeguarding machine learning models, neural networks, and AI-powered applications - knowledge that will remain valuable as technology evolves.
About the Author
Calvin Dolton is a cybersecurity educator and AI strategist with a proven track record of making complex technical topics accessible. His mission is to prepare readers for the future of AI defense by providing accurate, practical, and up-to-date knowledge in a format anyone can follow.
Part of the AI Security Mastery Series
This book is the first step in a progressive learning journey. The AI Security Mastery series guides you from the fundamentals in Book 1 to advanced techniques in future volumes, covering topics like machine learning for security, AI threat modeling, and cloud-based AI protection. With a consistent branding style and structured learning path, each volume builds on the last - giving you a complete, professional-grade AI security education.
Perfect for:
Beginners starting their cybersecurity and AI defense journey
Students in computer science, AI, or security-related fields
Professionals transitioning into AI-focused security roles
Begin your mastery of AI security today - and be ready for what's next.
Future books in the AI Security Mastery series will take you deeper into the field, including Machine Learning for Security Beginners, Advanced AI Threat Detection, and Cloud AI Security Essentials. Each volume builds on the last, giving you a complete, structured path from foundational skills to expert-level AI security mastery.