FREE..!!! Seminar on "Software Development Lifecycle in Automotive domain". Check Careers Page
Deploy deep learning and machine learning models directly onto resource-constrained microcontrollers. Master sensor data collection, model optimization, quantization, and deployment using TensorFlow Lite for Microcontrollers.
Receive your verified TinyML & Edge AI specialist credential upon completing this advanced lab. Highlight your cloud interfacing, BLE telemetry, and low-latency smart IoT systems engineering competencies.
Build Safety-Critical Systems with Precision and Performance
QNX is the gold standard for real-time operating systems in high-stakes industries where reliability is non-negotiable. From self-driving cars to medical devices, QNX is trusted for its determinism, stability, and certified safety features. Our specialized QNX training program empowers your development team to build and deploy real-time applications confidently and efficiently.
The Trusted RTOS for Mission-Critical Systems:
From autonomous vehicles to life-saving medical devices, QNX is the industry's go-to real-time operating system for applications where failure is not an option. Renowned for its deterministic performance, rock-solid stability, and certified safety standards, QNX provides the ideal foundation for building high-performance embedded systems.
Our course is designed by Industry experts and comes with 100% placement assurance. Our course is designed in such a way that the candidates taking our #pictraining and #armtraining feels they are more than 1.5 years experienced. This enables them to face the interview for #embeddedjobs with confidence and clear the interviews. The candidates undergoing #embeddedtrainingcourse in our facility is equipped with #realtimeexamples like writing test code for Engine Control Unit (ECU), Infotainment system, Airbag controller etc., . Our embedded training also includes an introduction to the latest concepts like AUTOSAR, RTOS, Embedded Linux, Device drivers, Boot loader development etc
Interactive activities that promote safe and smart exploration.
Building early skills in a fun and engaging way to support future success.
Focus on emotional, social, and cognitive development.
A nurturing atmosphere where children feel loved, encouraged, and secure.
Introduction to Edge Computing concepts and how they compare with Cloud AI architectures.
NodeMCU hardware, power optimization & firmware flashing techniques.
MQTT, CoAP, TLS security for secure IoT device communication.
DHT22, MPU6050, BME280, PIR real-time data filtering, signal conditioning & feature extraction.
TinyML model deployment using TensorFlow Lite on low-power, resource-constrained devices.
Computer vision, predictive maintenance, smart automation capstone projects.
AWS Greengrass, OTA firmware security & energy harvesting techniques for complete pipeline.
AWS IoT, Azure IoT Hub integration with best security practices.
| Application Domain | Example Use Case |
|---|---|
| Industrial IoT | Predictive maintenance using vibration sensors |
| Smart Agriculture | AI-driven irrigation based on soil moisture |
| Smart Home | Voice-controlled devices with custom wake-word |
| Automotive | Edge-based anomaly detection for onboard diagnostics |
| Remote Monitoring | Real-time sensor streaming over MQTT |
| Feature | Edge AI | Cloud AI |
|---|---|---|
| Latency | ? Ultra-Low | ?? High |
| Bandwidth | ?? Minimal | ?? Heavy usage |
| Privacy | ?? High (local) | ? Low (data leaves) |
| Power Consumption | ?? Optimized | ?? Often irrelevant |
| Real-Time Response | ? Yes | ? Often delayed |
| Offline Capability | ?? Yes | ?? No |
Learn directly from seasoned engineers and architects with years of real-world IoT and AI project experience.
Master skills by building real projects not just listening to lectures. Experience-driven learning ensures you can apply your knowledge immediately.
Understand the complete lifecycle: data acquisition, edge processing, AI inference, secure communication, and cloud integration.
Learn best practices for securing IoT devices, encrypting data, managing firmware updates, and safely deploying AI models at the edge.
Work with modern tools used by top industry professionals:
For microcontroller programming on NodeMCU and embedded platforms.
For rapid IoT prototyping and visual flow-based programming.
For on-device AI model deployment and inference on edge hardware.
For lightweight, reliable IoT communication between devices and cloud.
For seamless cloud integration and device management at scale.
VAct Technologies Master Edge AI and IoT Development provides industry-oriented training with real-time projects and hands-on practical exposure to make students job-ready in embedded and automotive technologies. Your Success Is Our Mission at VAct Technologies, we are dedicated to helping you achieve your career goals with expert guidance and practical learning.p>
Industry-oriented embedded systems training with real-time projects and practical learning experience.
Training developed with automotive OEM standards and modern embedded technologies.
Learn using industry-standard VAct Auto Edge Development Boards and advanced tools.
Get mentorship, placement support, and career-focused training from experienced professionals.
The automotive industry is evolving rapidly, with embedded systems at its core. To thrive in this competitive field, hands-on experience with industry-standard hardware, tools, and software is essential. At VAct Technologies, we bridge the gap between academia and industry by offering cutting-edge training on real-world automotive embedded systems.
Our AutoEdge Development Board provides students with practical exposure to AUTOSAR, CAN, LIN, FlexRay, UDS, and real-time diagnostics—the very technologies used by leading automotive companies. With access to the latest microcontrollers, industry-grade tools, and professional debugging environments, students gain the skills that employers demand.
Transform your passion into a high-growth career with
VAct Technologies — where innovation meets expertise!
Founder Managing Directorr
Presenter
Embedded Systems
GenAi
Automotive & Embedded Systems
QnX & Embdded Linux
Hardware Design
Engineer
Divakar.R secured a role as a Hardware Design Engineer. With 7 years of experience, he has strong expertise in hardware design and development.
Embedded
engineer
Dinesh Babu from Batch 51 secured a role as an Embedded Engineer. His technical skills and dedication helped him gain 2 years of successful industry experience.
Sr. SWE
Automotive
Abinaya secured a role as Senior Software Engineer Automotive. With 4.5 years of experience, she has strong expertise in automotive software and embedded technologies.
mech
design p3
Mukesh.E secured a Mechanical Design P3 role with an impressive salary package of 7 LPA. His 7 years of experience showcase his strong professional growth in mechanical design engineering.
Hardware Design
Engineer
KARTHICK T achieved placement as a Hardware Design Engineer. With 6.5 years of experience, he has gained strong expertise in hardware design and validation.
Mechancial Design
Engineer
Balamurali started his career as a Mechanical Design Engineer. His strong understanding of design concepts helped him excel in the mechanical industry.
The embedded systems training at VAct Technologies was very informative and practical. The real-time projects improved my technical skills and confidence.
Embedded Systems Trainee
VAct Technologies provided excellent guidance throughout my internship. The trainers explained every concept clearly with hands-on experience.
Embedded Software Intern
The internship program helped me understand embedded systems and IoT applications in a practical way. The mentors were very supportive.
Embedded & IoT Intern
I gained valuable knowledge in firmware development and embedded technology during my internship. The training sessions were interactive and useful.
Embedded Systems Intern