AI Upskilling Certificate: Hands-On Development from Model to App

Steps to Enroll & Access Training:

• Click Any Blue "Add to Cart" Button on this page and continue through the checkout process.
• Create a Free Account on Edge Impulse HERE, which you will use to build and train your AI models.
• Get Your Arduino® UNO™ Q Board (Optional): You may purchase the UNO Q here. Please bundle your UNO Q purchase with the Arduino® Modulino™ Movement sensor, which is used in Project #3. Note that you will receive your certificate after watching all training content, regardless of whether you deploy your apps using the UNO Q.
• Launch Training: Click "Launch Course" at the top of this page when you are logged in.

Program Overview: Practical Projects with Real-World AI Applications

Join Qualcomm Academy for this hands-on, project-driven, and free AI learning experience. Through this program, you will complete three end‑to‑end projects, each following a developer workflow from data collection to live inference. This program emphasizes practical execution, real-world use cases, and build-along learning to help you gain applicable AI skills.

You will complete the following three hands-on projects, all of which are led in a build-along training format. Each project is conducted in an online and self-paced manner. You will use Edge Impulse to build and train AI models, and you will use the UNO Q to deploy all models.

• Project #1 – Wake Word Detection: Learn the end-to-end process of building a wake word detection model, starting with collecting and labelling audio data for both the wake word and background noise. You will conduct feature extraction using MFCCs, model training and validation in Edge Impulse, and performance tuning based on accuracy. Then, you will test on unseen data and deploy the validated model to an UNO Q device for real-time inference.
• Project #2 – Person Recognition: Create a person recognition model using image data collected from a webcam or phone. In this project, you will label images with bounding boxes, use transfer learning to fine-tune a MobileNetV2-based model, and improve performance through validation and fine-tuning. You will then conduct local testing and deployment to an UNO Q device for real-time image-based inference.
• Project #3 – Gesture Recognition: In this project, you will build a gesture recognition system using motion data from the Modulino Movement sensor with UNO Q. You will record and label gesture data, conduct feature extraction with FFT/spectral analysis, and train a classification model in Edge Impulse. After optimizing accuracy, you will deploy the model to the device and integrate it into an app to recognize gestures in real time.

AI Skills & Experience You Will Gain

• End-to-End AI Model Development: Learn how to take an AI project from idea to execution, covering the complete lifecycle from data collection to inference.
• Data Collection & Preparation for Real-World Use Cases: Gain hands-on experience gathering, organizing, and preparing data tailored to specific applications like keyword detection, person recognition, and gesture recognition.
• Model Training & Evaluation: Build, train, and evaluate machine learning models while understanding how design choices impact performance, accuracy, and reliability in real scenarios.
• Testing, Optimization, and Validation: Develop the ability to test models, identify weaknesses, and apply optimization techniques to improve real-world performance.
• Running and Interpreting Inference: Learn how to run inference on trained models and interpret outputs in a way that supports real-time or production-like use cases.

Earn an AI Certificate from an Industry Leader

Enhance your professional portfolio with an AI certificate of completion and shareable digital badge from Qualcomm Technologies. Upon completing this program, you will receive an official AI certificate and badge to post on your LinkedIn profile, CV, and resume. While we encourage you to purchase the UNO Q to deploy your models, you will receive your certificate once you watch all training videos.

Who Should Enroll in This Program?

• Developers & Engineers: This program is geared toward individuals looking to enhance their AI and app development skills with real-world and practical projects.

• Students: This is an excellent program for students who are looking to boost their CV / resume and improve their practical AI skills.

Prerequisites

Those who enroll in this program should have basic software development knowledge and should understand the content in our AI Upskilling Certificate: Technical Foundations. Also, if you wish to deploy the models and apps you develop through this program using the UNO Q, you may purchase the platform here. Please bundle your UNO Q purchase with the Arduino® Modulino™ Movement sensor, which is used in Project #3

Program Logistics

• Program is FREE: This program is free and open to anyone looking to enhance their AI skills.

• Creating Your Edge Impulse Account: You will use Edge Impulse to build and train your AI models, so you will need an Edge Impulse account. You may create your free account here.

• Obtaining Your UNO Q Platform: While this certificate program is free, if you wish to deploy the models you develop on an UNO Q, you may purchase the platform here. Please bundle your UNO Q purchase with the Arduino® Modulino™ Movement sensor, which is used in Project #3.

• Flexible Learning: All training in this program is online and self-paced.

• Program Duration: The program takes roughly 3-4 hours to complete, but please note that the exact duration varies by participant, as some people take longer to complete each project than others.

• How to Enroll: Please refer to the instructions at the top of this page under "Steps to Enroll & Access Training."

• How to Receive Your Certificate & Badge: Once you complete all training videos, Qualcomm Academy will contact you with your certificate and badge. Please allow 1-2 weeks for processing.

• How to Access Your Training: Once you enroll and are logged in, click "Launch Course" at the top of this page.