Using SparkFun Edge Board with Ambiq Apollo3 SDK
Contributors:
Liquid Soulder
Liquid Soulder 
Resources and Going Further
Congratulations! If everything went according to plan then you've run an example on the Edge board and you are now all set up to start building your own applications. Here are a few resources to help guide that process and explain more about the topics covered in the tutorial.
Tutorial Links:
- Windows Git Bash Install
- Make for Windows
- Python Installs
- GNU-RM GitHub Site
- Ambiq Micro Apollo3 Blue SDK Rel2.5.1
- SparkFun Edge Board Support Package GitHub
- Makefile Tutorial
Want more information on the Ambiq Apollo3 or the SparkFun Edge Board?
- SparkFun Edge Board Schematic (PDF)
- SparkFun Edge Board Eagle Files (ZIP)
- Ambiq Apollo3 Datasheet
- Using TensorFlow on Microcontrollers
- GitHub
- Forked Ambiq Suite SDK - Mirror of Ambiq Suite SDK that includes BSP
- SparkFun Apollo3 AmbiqSuite BSP
- SparkFun Edge Board Hardware Repo
Need some inspiration for your next project? Check out some of these tutorials!
Getting Started with the Artemis Development Kit
This guide covers the general design of the board, the installation of the recommended software used to program the Artemis DK, and some basic examples. For more advanced functionalities, we have separate software development guides for the AmbiqSDK, Arm® Mbed™ OS, and the Arduino IDE platforms that users can reference.
OpenLog Artemis Hookup Guide
How to use and re-program the OpenLog Artemis, an open source datalogger. The OLA comes preprogrammed to automatically log data. The OLA can also record serial data, analog voltages, or readings from external Qwiic-enabled I2C devices. Some of these Qwiic-enabled devices include GPS/GNSS modules, pressure, altitude, humidity, temperature, air quality, environment, distance, and weight sensors.
SparkFun expLoRaBLE Hookup Guide
Check out our latest LoRaWAN development board with Bluetooth capabilities! With this guide, we'll get you passing data to The Things Network in no time.
Getting Started with the MyoWare® 2.0 Muscle Sensor Ecosystem
The MyoWare® 2.0 Muscle Sensor, an Arduino-compatible, all-in-one electromyography (EMG) sensor from Advancer Technologies. In this tutorial, we will go over the features and related shields to connect the sensor to a muscle group.