Ten-day intensive builds professional embedded AI skills on VSDSquadron Pro (RISC-V) using Scikit learn and open libraries. You’ll implement regression/classification models, optimize KNN/SVM, deploy neural networks, and automate quantization scripts. Next, run MNIST digit recognition, and real-time inference, memory profiling with instructor workflows. Execute RAM-constrained optimizations and produce deployable, production-ready edge AI models. Graduate with a validated 16KB-RAM workflow and portfolio ready for embedded ML roles.
RISC-V Edge AI with VSDSquadron Pro is a hands-on workshop for memory-constrained AI deployment. Built directly on open-source toolchains with SiFive-based cores, you will work in Python and TensorFlow Lite using RISC-V device libraries. The curriculum follows an industry-aligned loop: train, quantize, deploy, benchmark—emphasizing practical methods, reproducible results, and trusted deployment pipelines meeting commercial edge-device standards.
You’ll begin with ML foundations: linear regression and gradient descent, implementing models from scratch while profiling memory usage. You’ll then advance to KNN/SVM classifiers, generate decision boundaries, and quantify accuracy/RAM tradeoffs. Each lab includes pre-configured datasets, memory analysis scripts, and VSDSquadron deployment checklists to focus on optimization rather than setup. Results are validated through on-device inference.
The program extends to neural networks on RISC-V, guided by instructor-supplied quantization scripts and deployment templates. You’ll reproduce and analyze edge results—model accuracy post-quantization, inference latency, and 16KB memory footprints—while learning compression techniques like weight pruning and 8-bit quantization. Automated memory profiling, optional layer-wise analysis, and real-time validation help benchmark outcomes against industry constraints.
Graduates leave with a coherent portfolio: quantized models, deployment scripts and optimization narratives demonstrating readiness for edge AI roles. We include templates for Neural network model conversion, VSDSquadron deployment, and memory reports to accelerate product development. Whether targeting IoT development, embedded systems, or edge AI research, this workshop delivers practical RISC-V deployment experience with globally portable evidence of competence.
Kunal Ghosh, the visionary co-founder of VLSI System Design (VSD) Corp. Pvt. Ltd., stands at the forefront of online open-source EDA and hardware design education, particularly in the realm of RISC-V.
With a portfolio of 50 top-tier VLSI online courses, Kunal has enriched the learning journey of over 90,000 students across 153 countries. His expertise extends beyond training; he’s actively involved in pioneering open-source projects and design collaborations with esteemed institutions like IIT Madras, IIT Bombay, IIT Guwahati and IIT Hyderabad.
His current focus is on crafting high-quality open-source Analog/Digital IPs, a groundbreaking endeavor in open-source hardware design. Kunal’s rich industry experience includes roles at Qualcomm and Cadence, specializing in SoC design. He holds a master’s degree from IIT Bombay, where he specialized in VLSI & Nano-electronics, with a focus on sub-100nm Electron Beam Lithography Optimization techniques.
Solution Architect – Edge AI & RISC-V, Project Advisor at VLSI System Design
Ankit Mawle is a Solution Architect driving innovation at the intersection of hardware and software. With expertise in Edge AI, RISC-V microcontrollers, serverless systems, Web3, and embedded solutions, he has architected platforms spanning e-commerce, LMS, regenerative agri-tech, and silicon-first AI deployments.
As a Project Manager of the VSD-IAT LMS and Project Advisor for Edge AI at VLSI System Design, he has led the development of scalable serverless learning platforms and designed open-source RISC-V-based SoCs powering the VSDSquadron Pro board. His contributions have enabled hundreds of learners worldwide to experience real-time AI deployment on constrained devices.
Ankit also leads system architecture at Mawle Technologies and advises Adhipa Farms FPC on digital transformation in regenerative agriculture. With prior experience spanning IoT, AI/ML research, and embedded development, he combines hands-on technical expertise with visionary systems thinking to make cutting-edge technologies accessible and impactful.
Software Developer at Mawle Technologies, VLSI & Edge AI Enthusiast
Dhanvanti Bhavsar is a Software Developer at Mawle Technologies with strong expertise in RTL design, synthesis, and gate-level simulation. She has hands-on experience implementing low-bit quantized neural networks on RISC-V microcontrollers, integrating them into real-time applications with UART communication and image capturing on VSD Squadron boards.
She has worked on multiple VLSI design flows including static timing analysis, clock tree synthesis, and physical design, and has earned certifications in these areas through VSD. During her internship at VLSI System Design, she successfully deployed quantized MNIST models on resource-constrained RISC-V devices, showcasing her ability to bridge AI algorithms with embedded silicon.
Her current role at Mawle Technologies involves software development and integration projects across embedded systems and AI-driven applications. With a background in Electronics and Telecommunication Engineering from Government College of Engineering, Karad, she combines a deep technical foundation with practical hardware experience, making her a valuable mentor for aspiring VLSI and Edge AI learners.
VSDSquadron pro Board-- pre purchase not required; for real time implementation, purchase board separately, combined with 2 week complementary internship
Absolutely. Techniques transfer to ARM Cortex-M, ESP32. Certification includes generic edge deployment skills.
Basics (variables, loops, functions). We provide NumPy/ML refresher materials pre-workshop.
All materials available during 10-day duration of the program.
Certification validates 16KB-RAM deployment skills—key for embedded ML roles at ARM, Arduino, and robotics firms. Portfolio shows quantifiable edge optimization.
Cloud based Workshop
VSD, standing as a trailblazing Semiconductor EdTech company and a community-based Technology Aggregator, is revolutionizing the landscape of VLSI Design. With the belief that “Creativity is just connecting things”, VSD has mastered the art of linking the right resources with the community. This unique approach has sparked a significant transformation in the VLSI Design process.
Over the past decade, VSD has made remarkable strides in the open-source semiconductor domain. Our journey includes the development of comprehensive training content, empowering students to design silicon-grade IP/SoC. Notably, we’ve successfully guided these projects through the tapeout cycle via the Google open shuttle program. This achievement is a testament to our commitment to hands-on, practical education.
At VSD, our role extends beyond traditional education. While we didn’t invent EDA tools or design flows, we’ve made them accessible to a wider community. Our mentorship has been instrumental in the development of over 50+ Analog/Digital IPs and solutions. Impressively, 20+ of these have successfully transitioned from concept to Silicon – a clear indicator of our effective approach and the high quality of work produced under our guidance.
We pride ourselves on fostering a community-based revolution in the Semiconductor Industry. By democratizing access to advanced tools and knowledge, VSD is not just educating individuals; we are building a community of innovators poised to lead the next wave of advancements in the semiconductor sector. With VSD, the future of VLSI Design is not just being written; it’s being rewritten by a passionate and empowered community.
VSDSquadron was launched by Prof. V. Kamakoti, Director of IIT Madras
VSD Launches VSDSquadron In Collaboration With IIT Madras & DIR-V
Job Roles, Convergence With Embedded Systems, and Startups
VSD showcased at Semicon India 2023
VSDSquadron Educational board on Tamil News channel
5 Day Workshop on VLSI Design Flow using RISCV and EDA Tools
Karnataka VLSI roadshow at Sahyadri College, Mangalore
Welcome to Ethical RISC-V IoT Workshop
The “Ethical RISC-V IoT Workshop” at IIIT Bangalore, organized in collaboration with VSD, is a structured, educational competition aimed at exploring real-world challenges in IoT and embedded systems. Participants progress through three stages: building an application, injecting and managing faults, and enhancing application security. The event spans from May 9 to June 15, 2024, culminating in a showcase of top innovations and an award ceremony. This hands-on hackathon emphasizes learning, testing, and securing applications in a collaborative and competitive environment.
Welcome to the World’s only online conference in Semiconductor Industry VSDOpen Conference. With enormous support and global presence of audience from different segments of industrial lobby and academia made a highly successful event. Evolution is change in the genetic makeup of a population over time, online conference is one kind evaluation everyone adapt soon.
VSD offers online course in complete spectrum of vlsi backend flow from RTL design, synthesis and Verification, SoC planning and design, Sign-off analysis, IP Design, CAD/EDA automation and basic UNIX/IT, Introduction to latest technology – RISC-V, Machine intelligence in EDA/CAD, VLSI Interview FAQ’s.
Current Reach – As of 2021, VSD and its partners have released 41 online VLSI courses and was successfully able to teach ~35900 Unique students around 151 countries in 47 different languages, through its unique info-graphical and technology mediated learning methods.
