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Advanced Technology Training

Advanced Training in Technology Innovation

Master IoT systems, VLSI design, and artificial intelligence through comprehensive, industry-focused training programs. Learn from experts with real-world experience and access cutting-edge laboratory facilities.

500+
Trained Professionals
15+
Industry Projects
98%
Success Rate

Professional Training Programs

Comprehensive laboratory-based training covering the latest technologies in IoT, VLSI design, artificial intelligence, and advanced programming. Our programs combine theoretical knowledge with practical hands-on experience.

VLSI Design

Master advanced VLSI design methodologies, digital and analog circuit design, layout design and verification using industry-standard tools including Cadence and Synopsys.

  • Digital & Analog Circuit Design
  • Layout Design & Verification
  • FPGA Implementation
  • Industry Tools Training
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Artificial Intelligence & Machine Learning

Deep dive into AI and machine learning fundamentals, neural networks, computer vision, natural language processing, and hands-on projects using TensorFlow and PyTorch.

  • Neural Networks & Deep Learning
  • Computer Vision Applications
  • NLP Implementation
  • Real-world ML Projects
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IoT Systems Development

Build expertise in Internet of Things systems, embedded systems programming, sensor networks, cloud integration, and real-time data processing architectures.

  • Embedded Systems Design
  • Sensor Networks
  • Cloud Integration
  • Real-time Applications
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Project Portfolio

Our students develop sophisticated projects across IoT, VLSI design, artificial intelligence, and software development. These real-world applications demonstrate practical mastery of advanced technologies.

Smart City Monitoring System

Smart City Monitoring System

Comprehensive IoT solution for urban infrastructure monitoring and intelligent management across multiple sensors and data streams.

IoT Arduino Cloud
Deep Neural Image Recognition

Deep Neural Image Recognition

Advanced convolutional neural networks for real-world image classification and object detection applications using modern deep learning frameworks.

AI/ML TensorFlow CNN
FPGA Hardware Acceleration

FPGA Hardware Acceleration

High-performance FPGA design and implementation for specialized computing tasks using Xilinx tools and VHDL/Verilog hardware description languages.

VLSI FPGA Xilinx
Enterprise Web Platform

Enterprise Web Platform

Full-stack web application development using modern frameworks, database systems, and deployment architectures for scalable enterprise solutions.

Programming React Node.js
Distributed Sensor Networks

Distributed Sensor Networks

Multi-node wireless sensor network implementation with real-time data aggregation, processing, and secure communication protocols.

IoT Wireless Embedded
Natural Language Processing Engine

Natural Language Processing Engine

Advanced NLP implementation for text analysis, sentiment detection, machine translation, and semantic understanding using state-of-the-art models.

AI/ML NLP Python
Labgenicx Classroom

About Labgenicx

Labgenicx is a premier training institute delivering industry-ready education in IoT, VLSI, and Artificial Intelligence.

We focus on practical learning, real-world projects, and expert mentorship that prepares students with job-ready skills aligned to industry demands.

01

Industry-Focused Curriculum

Programs aligned with current standards and future trends.

02

Experienced Faculty

Learn from professionals with real-world engineering experience.

03

Hands-on Training

Labs, projects, and case studies designed for real job roles.

Contact & Admissions

Interested in advancing your career? Get in touch with our admissions team to discuss program options, schedule a campus visit, or request additional information.

Phone

+91 93617 67670

+91 93844 67966

Email

info@Labgenicx.edu

admissions@Labgenicx.edu

Address

123 Tech Park, Silicon Valley

Bangalore, Karnataka – 560001

Office Hours

Monday – Friday: 9:00 AM – 6:00 PM

Saturday: 10:00 AM – 4:00 PM