Embedded Systems Bootcamp RTOS IoT AI Vision and FPGA
 
Course Description
This bootcamp delivers a comprehensive and applied learning experience focused on modern embedded systems development. Learners explore how real time operating systems connected devices intelligent edge processing computer vision and programmable hardware are designed integrated and deployed in production environments. The course emphasizes system level thinking hardware software integration and reliability required for enterprise and industrial embedded solutions.
 
What You Will Learn
Core embedded system architecture and design principles
Real time operating system concepts task scheduling and resource management
Embedded IoT connectivity protocols and device communication models
Applying AI and machine learning techniques at the edge
Implementing embedded vision pipelines for sensing and analysis
Fundamentals of FPGA design and hardware acceleration
Debugging testing and optimizing embedded systems
 
Who This Course Is For
Embedded software and firmware engineers
Hardware engineers expanding into system level development
IoT and edge computing professionals
Engineers transitioning into real time and intelligent embedded systems
Technical teams building industrial or enterprise embedded products
 
Hands On Training Experience
Learners complete practical labs and guided projects involving embedded development boards RTOS configuration sensor integration edge inference vision workloads and FPGA based processing. Exercises reflect real world workflows from bring up to deployment and validation.
 
Course Outcomes
By the end of the course learners will be able to design build and deploy embedded systems that integrate RTOS IoT connectivity AI driven intelligence vision capabilities and FPGA acceleration. Participants will gain the confidence to support scalable reliable and production ready embedded solutions.