From TinyML to Deep Learning
Combine embedded systems with AI to develop intelligent edge devices and applications.
Build Skills That Go Beyond the Classroom
Merge the physical and intelligent worlds. This course teaches you how to deploy machine learning and AI models directly onto resource-constrained microcontrollers and edge devices.
What You'll Learn
- 01Embedded AI FundamentalsUnderstand the intersection of hardware constraints and machine learning.
- 02TinyML DevelopmentDeploy highly optimized ML models directly onto microcontrollers.
- 03Sensor Fusion & AIProcess complex hardware sensor data through neural networks.
- 04Model DeploymentTest and optimize edge models for latency and power consumption.
Learn by Building
- AI-powered Smart Camera Nodes
- Industrial Anomaly Detection
- Voice-Activated Smart Home Applications
- AI-driven Motor Control
Tools & Technologies Covered
Who Can Join?
This program is designed for individuals looking to build practical skills.
Course Details
*Enquire for online availability
Learning Approach
Learn
Understand the fundamentals and core engineering concepts.
Practice
Apply concepts through structured exercises and tool usage.
Build
Develop practical, real-world projects from scratch.
Prepare
Build technical readiness and prepare for career opportunities.
Where These Skills Can Lead
Potential career directions based on the technical skills you will develop.
Frequently Asked Questions
Q. Is this course suitable for beginners?
It is recommended to have basic embedded or Python knowledge before starting this advanced course.
Q. Will I deploy models to real hardware?
Yes, you will deploy actual ML models onto edge computing platforms.
Ready to Build Your Skills?
Take the next step toward practical, industry-oriented learning with KMS InnovTech. Fill out the form to get started.
Enquire About This Course
Interested in Embedded System with AI? Send us a message!