TinyML with Wio Terminal

*#1 Most Popular Online Course & Internship in Computer Science* You can enroll today & get certified from EasyShiksha & HawksCode.

TinyML with Wio Terminal Description

This course focuses on practical deployment of machine learning models on edge devices using Wio Terminal and TinyML. You will learn how to prepare data, train compact models, convert them into efficient formats, and deploy them on low-power microcontrollers for fast, offline decision-making.

The course is structured to help engineers, developers, and students create intelligent embedded systems without requiring cloud connectivity.

What is TinyML? TinyML refers to machine learning models that are optimized to run on low-power, small-footprint devices like MCUs. TinyML is cost-effective, allowing more individuals to train their models. Compatible with Arduino, Raspberry Pi, and other IoT devices, TinyML is the only platform that lets you know when you're making a mistake.

What is Wio Terminal? Wio Terminal is a device that makes it easy to interface with sensors and other hardware. It's a desktop application for quickly publishing your site without needing any knowledge of programming languages. You'll learn the basics of creating websites and interfacing with hardware.

Key Concepts Covered

Introduction to TinyML and Wio Terminal hardware architecture
Collecting and preprocessing data for embedded model training
Model training using TensorFlow Lite
Converting and quantizing models for microcontroller deployment
Uploading models to the Wio Terminal and running inferences
Optimizing performance for real-time response
Implementing use cases such as gesture recognition, sound classification, or anomaly detection

What You’ll Build

A fully working TinyML inference system on Wio Terminal
A data collection pipeline tailored for embedded hardware
A real-time sensor-based ML project (e.g., motion classification or sound response)
Model loading and activation code in Arduino-compatible environment
Try It Now! Get started with the Wio Terminal course and save time by identifying the best possible option every time!

Target Audience

Embedded developers entering machine learning
Engineers interested in edge computing
Students and researchers working on smart devices
Makers with an interest in low-power AI
Professionals seeking to implement ML without relying on the cloud

Prerequisites

Basic Python programming
Familiarity with Arduino IDE and embedded hardware
Access to a Wio Terminal
Installation of Arduino libraries and TensorFlow Lite environment (guided in the course)

Course Outcomes

Create TinyML applications that run efficiently on Wio Terminal
Understand the workflow from model training to deployment
Implement lightweight models using TensorFlow Lite Micro
Integrate ML inference into real-world sensing applications
Work with onboard sensors like accelerometer, microphone, and display

Q.Is the course 100% online? Does it require any offline classes too?

The following course is fully online, and hence there is no need for any physical classroom session. The lectures and assignments can be accessed anytime and anywhere through a smart web or mobile device.

Q.When can I start the course?

Anyone can choose a preferred course and start immediately without any delay.

Q.What are the course and session timings?

As this is a purely online course program, you can choose to learn at any time of the day and for as much time as you want. Though we follow a well-established structure and schedule, we recommend a routine for you as well. But it finally depends on you, as you have to learn.

Q.What will happen when my course is over?

If you have completed the course, you would be able to have lifetime access to it for future reference too.

Q.Can I download the notes and study material?

Yes, you can access and download the content of the course for the duration. And even have lifetime access to it for any further reference.

Q. What software/tools would be needed for the course and how can I get them?

All the software/tools that you need for the course would be shared with you during the training as and when you need them.

Q. Do I get the certificate in a hard copy?

No, only a soft copy of the certificate will be awarded, which can be downloaded and printed, if required.

Q. I’m unable to make a payment. What to do now?

You can try to make the payment through a different card or account (maybe a friend or family). If the problem persists, email us at info@easyshiksha.com

Q. The payment got deducted, but the updated transaction status is showing “failed”. What to do now?

Due to some technical faults, this can happen. In such a case the amount deducted will be transferred to the bank account in the next 7-10 working days. Normally the bank takes this much time to credit the amount back into your account.

Q. The payment was successful but it still shows ‘Buy Now’ or not showing any videos on my dashboard? What should I do?

At times, there may be a slight delay in your payment reflecting on your EasyShiksha dashboard. However, if the problem is taking longer than 30 minutes, please let us know by writing to us at info@easyshiksha.com from your registered email id, and attach the screenshot of the payment receipt or transaction history. Soon after verification from the backend, we will update the payment status.

Q. What is the refund policy?

If you have enrolled, and are facing any technical problem then you can request a refund. But once the certificate has been generated, we shall not refund that.

Q.Can I just enrol in a single course?

Yes! You surely can. To begin this, just click the course of your interest and fill in the details to enrol. You are ready to learn, once the payment is made. For the same, you earn a certificate too.

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Please contact us at: info@easyshiksha.com

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Goals

Course List

TinyML with Wio Terminal

This course & internship includes