Description

Mastering Edge AI is a practical guide to the future of intelligent systems—where devices process data locally instead of relying on the cloud. From smartphones and medical sensors to autonomous vehicles and smart factories, edge AI is transforming industries with faster, safer, and more private solutions.
This ebook takes you step by step through the principles, tools, and strategies for designing and deploying compact models directly on devices. With real-world use cases, optimization techniques, and insights into security and ethics, it’s your roadmap to building edge-ready systems that are efficient, responsible, and future-proof.

📚 Table of Contents

• Chapter 1 – The Rise of Edge AI
• Chapter 2 – Core Principles of Edge AI
• Chapter 3 – Tools and Frameworks for Edge AI Development
• Chapter 4 – Designing Edge AI Applications
• Chapter 5 – Building and Deploying Compact Models
• Chapter 6 – Security, Privacy, and Ethical AI at the Edge
• Chapter 7 – Scaling and Maintaining Edge AI Solutions
• Chapter 8 – Future of Edge AI

🔍 Additional Details

Topics Covered

• Edge AI vs. cloud AI fundamentals 
• Model optimization (quantization, pruning, distillation) 
• Tools: TensorFlow Lite, PyTorch Mobile, Core ML, ONNX 
• Architectures for on-device efficiency 
• Industry case studies (healthcare, automotive, IoT, manufacturing) 
• Security, encryption, privacy, and ethics 
• Scaling and maintenance best practices 

Who It’s For

• Developers and engineers 
• Product managers and innovators 
• Students and tech-curious learners 

What’s Inside

• Clear explanations with diagrams 
• Practical workflows and real-world examples 
• Actionable strategies for design, deployment, and scaling 

Format: PDF (instant digital download)
Language: English
Length: 40 pages

 

Great For Beginners and professionals aiming to design, optimize, and deploy intelligent systems that run directly on devices.