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Edge AI & TinyML Bengaluru

Bangalore, IN

3 members

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About us

Welcome to Edge AI & TinyML Bengaluru!

What's the group's goal?
Our goal is to bridge the gap between AI and physical hardware. We are here to help developers move beyond toy Arduino demos and learn how to deploy production-grade machine learning models directly onto resource-constrained silicon. We focus heavily on real-world edge architecture, working closely with microcontrollers like the ESP32-S3 and ARM Cortex-M series to squeeze neural networks into kilobytes of RAM.

Who do you want to meet?
This group is built for:

  • Software developers and Data Scientists who want to understand hardware constraints and bring their AI models to the physical edge.
  • Firmware and Embedded Engineers looking to add Edge AI and TinyML to their existing technical toolkit.
  • CS/ECE students and hardware builders who want to build deployable, hardware-backed portfolios.

What will you do at your events?
Expect highly technical, hands-on sessions. We don't just do slide decks; we write C/C++ and design RTOS-based concurrent systems. Our events will feature:

  • Live technical architecture teardowns and code walkthroughs.
  • Hands-on hardware flashing and peripheral sprints using ESP-IDF and FreeRTOS.
  • Deploying TensorFlow Lite for Microcontrollers (TFLite Micro) for real-time audio keyword spotting and on-chip vision processing.
  • Building Edge-to-Cloud pipelines, securing telemetry via TLS/MQTT to AWS IoT Core.

Bring your laptop, grab a dev board, and let's write code that runs close to the metal.

Upcoming events

2

See all
  • 9 seats left
    AI on the Edge With IoT: using ESP32 & IDF

    AI on the Edge With IoT: using ESP32 & IDF

    EnlightIQ, HSR LayOut, Bengaluru, IN

    # 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.

    ***

    ## 🗓️ 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)

    👉 Click Here to Register Now!

    ***

    ## 🚀 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:

    1. Blink & GPIO Control: Your first ESP-IDF project, from scratch.
    2. Sensor Data Logger: Read temperature, humidity, and accelerometer data via I2C/SPI.
    3. Multi-Task System: Build a concurrent system with FreeRTOS tasks, queues, and semaphores.
    4. Keyword Spotter: Real-time audio keyword detection with TFLite Micro (under 50ms latency).
    5. Person Detector: Live camera frames processed by MobileNet on-chip.
    6. Cloud IoT Dashboard: Publish inference results over TLS-secured MQTT to AWS IoT Core.

    ***

    ## 📅 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.

    ***

    ## 🎯 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!)

    ***

    ## 🎁 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.

    ***

    ## 👨‍🏫 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.

    ***

    ## 🎟️ 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

    1 attendee
  • 7 seats left
    AI on the Edge With IoT: using ESP32 & IDF

    AI on the Edge With IoT: using ESP32 & IDF

    EnlightIQ, HSR LayOut, Bengaluru, IN

    # 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.

    ***

    ## 🗓️ 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)

    👉 Click Here to Register Now!

    ***

    ## 🚀 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:

    1. Blink & GPIO Control: Your first ESP-IDF project, from scratch.
    2. Sensor Data Logger: Read temperature, humidity, and accelerometer data via I2C/SPI.
    3. Multi-Task System: Build a concurrent system with FreeRTOS tasks, queues, and semaphores.
    4. Keyword Spotter: Real-time audio keyword detection with TFLite Micro (under 50ms latency).
    5. Person Detector: Live camera frames processed by MobileNet on-chip.
    6. Cloud IoT Dashboard: Publish inference results over TLS-secured MQTT to AWS IoT Core.

    ***

    ## 📅 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.

    ***

    ## 🎯 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!)

    ***

    ## 🎁 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.

    ***

    ## 👨‍🏫 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.

    ***

    ## 🎟️ 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

    3 attendees

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