AI on the Edge With IoT: using ESP32 & IDF
Details
# AI on the Edge With IoT: using ESP32 & IDF
Master Embedded Systems & IoT by building production-ready firmware — not toy demos. Learn ESP-IDF, FreeRTOS, TinyML, and AWS IoT in 2 intensive days.
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## 🗓️ Event Details
- Dates: April 18–19, 2026
- Time: 9:00 AM - 6:00 PM (IST)
- Location: EnlightIQ, HSR Layout, Bengaluru
- Format: In-person (Bring your laptop)
- Registration Fee: ₹1,999 + 18% GST = ₹2,359
- Available Seats: Extremely Limited (Only 20 total seats)
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## 🚀 What You'll Build & Take Home
Spend two days building 16+ real-world embedded projects. Source code is provided on GitHub — yours to extend after the workshop. Key projects include:
- Blink & GPIO Control: Your first ESP-IDF project, from scratch.
- Sensor Data Logger: Read temperature, humidity, and accelerometer data via I2C/SPI.
- Multi-Task System: Build a concurrent system with FreeRTOS tasks, queues, and semaphores.
- Keyword Spotter: Real-time audio keyword detection with TFLite Micro (under 50ms latency).
- Person Detector: Live camera frames processed by MobileNet on-chip.
- Cloud IoT Dashboard: Publish inference results over TLS-secured MQTT to AWS IoT Core.
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## 📅 2-Day Schedule Breakdown
### Day 1: ESP32 & IDF Foundations (Saturday, April 18)
- Toolchain Setup & Docker Dev Environment: Pull our pre-built image and flash your first project.
- Build, Flash & Debug: Understand CMakeLists, partition tables, and GDB over JTAG.
- Peripherals (GPIO, UART, I2C, SPI): Interface sensors and actuators at the register level.
- FreeRTOS: Master tasks, queues, and semaphores to prevent deadlocks.
- Power-Aware Programming: Light/deep sleep techniques.
- Networking Fundamentals: TCP/IP, UDP, and connecting to WiFi.
### Day 2: AI on the Edge (Sunday, April 19)
- HTTP & REST APIs: Working with JSON data and IoT standards.
- TinyML Basics: Quantization & INT8 Inference on 8MB PSRAM.
- Deploy TFLite Micro: Convert TF models and write C++ inference loops.
- Audio Keyword Spotting: Full I2S mic → MFCC → TFLite → GPIO pipeline.
- Camera + Person Detection: Stream OV2640 frames into MobileNet on-chip.
- MQTT + AWS IoT Core: Secure edge-to-cloud telemetry loops.
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## 🎯 Who Should Attend
- Working Engineers: SW/firmware engineers moving beyond Arduino to professional ESP-IDF.
- CS / ECE Students: Add TinyML and real hardware skills to your resume and GitHub.
- Makers / Hobbyists: Level up your hardware projects with production-grade AI features.
(Prior programming experience in Python, C, or Java is expected. No prior embedded experience required!)
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## 🎁 What's Included in Your Ticket
- ✅ Hands-on Dev Kit Access: XIAO ESP32-S3 with peripherals provided during sessions.
- ✅ Pre-Configured Docker Env: No "works on my machine" issues.
- ✅ GitHub Source Code Access: Fully commented and production-structured code.
- ✅ Certificate of Completion: Shareable on LinkedIn.
- ✅ 1-Year LMS Access: Revisit all workshop content online.
- ✅ Discord Community Access: Permanent access to the Analog Data embedded/TinyML community.
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## 👨🏫 Meet Your Instructor
Rajath Kumar K S
Embedded, IoT & AI Practitioner
Rajath designs and builds production-grade systems across Embedded, IoT, and AI. He founded Analog Data to share practical, real-world knowledge with developers who want to build, not just learn theory. He has trained engineers at ISRO, Broadridge, Tech Mahindra, Infosys, and more.
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## 🎟️ Secure Your Spot
Don't miss out on this highly-rated workshop (4.9/5 stars by 1000+ engineers)! Seats are filling up fast.
Register Securely via Analog Data