Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Esp32 and TinyML From Beginner to Expert: Build Intelligent Edge AI Applications with ESP32, TensorFlow Lite, Edge Impulse, Embedded Machine Learning,

Esp32 and TinyML From Beginner to Expert: Build Intelligent Edge AI Applications with ESP32, TensorFlow Lite, Edge Impulse, Embedded Machine Learning,

Vertex, Zane

Paperback

General ComputersIndustrial Design

ISBN13: 9798190871968
Publisher: Independently Published
Published: Aug 5 2026
Pages: 486
Weight: 2.46
Height: 0.98 Width: 8.50 Depth: 11.00
Language: English
Build AI That Thinks at the Edge-Not in the Cloud.

What if you could build intelligent devices that recognize voices, classify images, detect motion, predict equipment failures, and automate real-world decisions-all on a low-cost ESP32 microcontroller?

ESP32 and TinyML from Beginner to Expert is your complete hands-on guide to mastering Edge AI and Embedded Machine Learning using the powerful ESP32 ecosystem. Whether you're a beginner exploring microcontrollers for the first time or an experienced developer looking to deploy production-ready TinyML applications, this book provides the practical knowledge and real-world projects needed to build intelligent embedded systems from the ground up.

Instead of overwhelming you with theory, this book follows a step-by-step, project-driven approach that teaches you how to design, train, optimize, deploy, secure, and scale AI-powered IoT devices that make decisions locally-without relying on constant cloud connectivity.

Inside this comprehensive guide, you'll learn how to:

  • Master ESP32 architecture, hardware, and development boards
  • Program ESP32 using Arduino IDE, ESP-IDF, and PlatformIO
  • Build TinyML applications with TensorFlow Lite Micro and Edge Impulse
  • Collect, clean, and prepare sensor data for machine learning
  • Train, optimize, quantize, and deploy lightweight AI models
  • Build computer vision systems with ESP32-CAM
  • Create voice recognition, keyword spotting, and audio intelligence applications
  • Develop gesture recognition and motion detection systems using IMU sensors
  • Design intelligent IoT solutions with Wi-Fi, MQTT, and cloud integration
  • Build smart home, industrial automation, predictive maintenance, healthcare, agriculture, and environmental monitoring projects
  • Optimize memory usage, improve inference speed, reduce power consumption, and extend battery life
  • Secure Edge AI devices with modern embedded security practices
  • Deploy OTA updates, manage AI model versions, and troubleshoot real-world TinyML systems
  • Build complete production-ready Edge AI applications with confidence

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