Edge AI Playground with Deepcraft Studio
TESAIn this lesson, you will explore the world of Edge AI through Deepcraft Studio, a professional platform designed to build, deploy, and run AI models directly on edge devices.
You will learn how to create AI models from real-world data such as images, audio, and sensor inputs, and optimize them for efficient execution on resource-constrained hardware.
Furthermore, you will gain hands-on experience with the complete Edge AI pipeline—from data preparation and model training to deployment and real-time inference on edge devices.
By the end of this lesson, you will be able to develop intelligent edge applications that operate in real-time, reduce latency, and enable AI-driven decision-making without relying on cloud computing.
Course Benefits
1. Understand the fundamentals of Edge AI and on-device intelligence
2. Learn how to build and train AI models using Deepcraft Studio
3. Optimize AI models for embedded and edge devices
4. Deploy AI models to real hardware for real-time inference
5. Explore performance tuning (latency, memory, power consumption)
6. Build practical Edge AI applications for real-world scenarios
Courses Structure
Chapter 1: DEEPCRAFT Studio Already Examples
Image Object Detection on DEEPCRAFT Studio
Voice Recognition on DEEPCRAFT Studio
DEEPCRAFT Studio already project template
Chapter 2: Pre-train Models
Pre-train Models
Chapter 3: How to create custom model on DEEPCRAFT Studio
Hardware Setup
Getting Started for create custom object detection model on DEEPCRAFT Studio
Learning Hours
12 Hours