Course Outline

Introduction to TinyML for Government

  • Understanding the constraints and capabilities of TinyML in government applications
  • Review of common microcontroller platforms suitable for government use
  • Comparing Raspberry Pi, Arduino, and other boards for government projects

Hardware Setup and Configuration for Government

  • Preparing the Raspberry Pi operating system for government operations
  • Configuring Arduino boards to meet government standards
  • Connecting sensors and peripherals for government applications

Data Collection Techniques for Government

  • Capturing sensor data in a secure and compliant manner
  • Handling audio, motion, and environmental data for government projects
  • Creating labeled datasets for government use

Model Development for Edge Devices in Government

  • Selecting suitable model architectures for government applications
  • Training TinyML models with TensorFlow Lite for government projects
  • Evaluating performance for embedded use in government systems

Model Optimization and Conversion for Government

  • Quantization strategies to enhance efficiency in government applications
  • Converting models for microcontroller deployment in government projects
  • Memory and computational optimization for government use

Deployment on Raspberry Pi for Government

  • Running TensorFlow Lite inference on Raspberry Pi for government operations
  • Integrating model output into applications for government use
  • Troubleshooting performance issues in government projects

Deployment on Arduino for Government

  • Using the Arduino TensorFlow Lite Micro library for government applications
  • Flashing models onto microcontrollers for government use
  • Verifying accuracy and execution behavior in government projects

Building Complete TinyML Applications for Government

  • Designing holistic embedded AI workflows for government operations
  • Implementing interactive, real-world prototypes for government use
  • Testing and refining project functionality in government settings

Summary and Next Steps for Government

Requirements

  • An understanding of fundamental programming concepts
  • Experience in utilizing microcontrollers
  • Familiarity with Python or C/C++

Audience

  • Makers for government and public sector projects
  • Hobbyists
  • Embedded AI developers
 21 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

TinyML with Raspberry Pi and Arduino

2026-03-02 09:30
21 hours
Little Rock, AZ - Regions Center
$ 4054 (Online)
$ 5854 (Classroom)

TinyML with Raspberry Pi and Arduino

2026-03-16 09:30
21 hours
Fayetteville, AR - Pryor Center
$ 4054 (Online)
$ 5854 (Classroom)

TinyML with Raspberry Pi and Arduino

2026-03-30 09:30
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 5854 (Classroom)

TinyML with Raspberry Pi and Arduino

2026-04-13 09:30
21 hours
Wilmington, DE – Regus at Brandywine Building
$ 4054 (Online)
$ 5854 (Classroom)

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