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Next-Gen Embedded System Design
Science And Technology

Next-Gen Embedded System Design

Silicon to System: Master the complete journey of transforming raw code into intelligent, functioning hardware. The Edge AI Edge: Learn to deploy "tiny" Machine Learning models directly onto microcontrollers for real-time decision making. Architecting the IoT: Build seamless communication bridges between sensors, local hardware, and the global cloud. Debug Like a Pro: Get hands-on with industry-standard logic analyzers and digital oscilloscopes to "see" your code in action. Future-Proof Protocols: Deep dive into high-speed communication standards like I2C, SPI, and CAN Bus used in Tesla-level automotive tech.
Course ModeOnline
Duration2 Weeks
Starts06 Jul 2026
Ends17 Jul 2026
Course Fee
₹1,000 /-
Registration Closed
About The Course

Overview

This hands-on workshop explores the shift from traditional microcontrollers to next-gen embedded system design, focusing on high-performance, power-efficient, and intelligent hardware. Participants will dive into modern architectures, such as ARM Cortex and RISC-V, while integrating advanced features like Edge AI, IoT connectivity, and real-time operating systems (RTOS). The session bridges the gap between hardware abstraction and low-level optimization, empowering learners to build scalable, secure, and responsive systems. By working with industry-standard development boards and debugging tools, attendees will master the end-to-end prototyping process required for the rapidly evolving landscape of smart electronics and industrial automation.

Learning Goals

Course Outcomes

  1. Architect Heterogeneous Systems: Design and evaluate complex embedded architectures by integrating general-purpose CPUs (like ARM or RISC-V) with domain-specific accelerators (NPUs/GPUs) to maximize performance-per-watt.

  2. Deploy Edge AI Models: Develop and optimize TinyML pipelines—including model quantization and pruning—to enable real-time on-device intelligence without relying on cloud connectivity.

  3. Implement Software-Defined Lifecycle Management: Build robust over-the-air (OTA) update systems and containerized environments that allow hardware functionality to be securely evolved and patched post-deployment.

  4. Engineer Hardware-Rooted Security: Construct "security-by-design" frameworks using Trusted Execution Environments (TEEs) and secure boot to protect systems against physical and network-layer vulnerabilities.

  5. Design for Sustainability and Connectivity: Create ultra-low-power systems that utilize modern protocols (like Matter or 5G RedCap) and integrate energy harvesting techniques to extend or eliminate battery life.

Curriculum

Course / Modules

  1. High-Performance Architectures & RISC-V: Move beyond standard MCUs to explore heterogeneous computing (mixing CPU, GPU, and NPU). This module covers the RISC-V open ISA, chiplet design concepts, and how to optimize hardware for domain-specific tasks.

  2. Edge AI & TinyML Implementation: Focus on deploying intelligence directly on the metal. You'll learn model quantization and pruning, hardware acceleration for neural networks, and real-time inference for "physical AI" applications like robotics and predictive maintenance.

  3. Software-Defined Hardware & OTA: Learn to build flexible systems using hardware abstraction layers (HALs) and containerization (like Docker for embedded). This includes designing robust Over-the-Air (OTA) update pipelines to evolve device functionality post-deployment.

  4. Modern Security & Trust Zones: Shift from basic encryption to Hardware Root of Trust (HRoT). This module covers implementing Trusted Execution Environments (TEEs), secure boot, and preparing for Post-Quantum Cryptography (PQC) to meet new global compliance standards.

  5. Connectivity & Sustainable Design: Master the next-gen wireless stack, including 5G RedCap, Wi-Fi 6E/7, and Matter. This also covers "Green Engineering"—optimizing for ultra-low power and integrating energy harvesting (solar/thermal) to create battery-less devices.

Learn From Experts

Our Trainers

MR. ABHIGYANAM GIRI
MR. ABHIGYANAM GIRI
A Passionate and dynamic IoT and Embedded design professional with 10+ years experience in designing and developing different Embedded and IoT based p...