Foundation Phase
Digital logic, Verilog HDL fundamentals, basic simulation tools
Deliverable: 6+ Verilog modules
Launch Your Tech Career in 90 Days—Guaranteed Placement Included
Master VLSI Design Career Foundation Track? Professional Career Track? |
Transform your career with our revolutionary F.L.A.R.E Formula – 80% hands-on practice, 20% theory. Get job-ready in 3-6 months.
92%
Placement Rate
1500+
Students Trained
100%
Certification
4.8/5
Student Rating
Industry-standard VLSI Mastery Course Options
Comprehensive curriculum covering all aspects of VLSI design
Introduction to NVIDIA, GPU Computing
- Overview of NVIDIA and its contributions to GPU computing, accelerating deep learning, AI, and high-performance computing.
Introduction to Jetson Nano
- Introduction to the Jetson Nano platform for edge AI, including its hardware, software, and capabilities for AI projects.
Jetson Nano Basic Setup Tutorial
- Step-by-step guide on setting up the Jetson Nano development board, including OS installation, connecting peripherals, and configuring the environment.
Introduction to CUDA (Compute Unified Device Architecture), CUDA Memory Hierarchy
- Explanation of CUDA, NVIDIA’s parallel computing platform, and its memory hierarchy, providing an understanding of how CUDA enables high-performance GPU computing.
Deep Learning Fundamentals, Introduction to Deep Learning
- Overview of deep learning, including basic concepts, types of neural networks, and their applications in various fields like image recognition, speech processing, and more.
Introduction to Deep Learning Frameworks (TensorFlow, PyTorch) with GPU Support
- An introduction to the TensorFlow and PyTorch frameworks, focusing on how these frameworks leverage GPU support for faster model training and inference.
Building and Training a Simple Neural Network Using Pytorch and TensorFlow
- Hands-on tutorial on building and training a simple feedforward neural network using TensorFlow and PyTorch.
Convolutional Neural Networks (CNNs), CNN Using TensorFlow and PyTorch
- Explanation of CNNs, their architecture, and how to build and train CNNs using TensorFlow and PyTorch for tasks like image classification and object detection.
Introduction to Computer Vision and Basic Image Processing
- Fundamentals of computer vision, including image processing techniques such as reading and displaying images, resizing, and color space conversions.
Image Smoothing, Edge Detection, and Morphology Techniques
- Techniques for image preprocessing such as Gaussian blur (smoothing), Sobel edge detection, and morphological operations like dilation and erosion for enhancing image features.
Advanced Image Segmentation and Thresholding Techniques
- Advanced techniques in segmenting images, such as adaptive thresholding, Otsu’s method, and region-growing algorithms to separate foreground and background.
Image Blending, Pyramids, and Feature Transform Techniques
- Image blending using pyramids for seamless transitions between images, and techniques like homography for transforming features across images.
Sudoku Solver Using OpenCV
- Solving Sudoku puzzles with OpenCV by detecting grids, extracting numbers, and applying algorithms to find solutions.
Pretrained Models Overview – VGG, ResNet, F-CNN, U-Net
- Overview of popular pretrained deep learning models like VGG, ResNet, F-CNN, and U-Net, and how they are used in various image processing tasks.
Brain Tumor Classification Using Pre-trained Model
- Implementing a brain tumor classification system using pretrained models to analyze medical images for tumor detection.
YOLO for Object Detection
- Introduction to YOLO (You Only Look Once) for real-time object detection in images and videos, and its application in safety and surveillance systems.
Image Segmentation with U-Net
- Using U-Net architecture for image segmentation, particularly in medical image processing and other tasks that require pixel-wise classification.
Pytorch Model to TensorRT Conversion
- Converting a trained PyTorch model to TensorRT for optimized performance on Jetson Nano, ensuring faster inference and real-time application processing.
Object Detection with Jetson Nano
- Using Jetson Nano for real-time object detection tasks, leveraging frameworks like TensorFlow or PyTorch along with Jetson’s GPU capabilities.
Pedestrian Detection with Jetson Nano
- Developing a pedestrian detection system on Jetson Nano, applying deep learning models to detect and track pedestrians in real-time for autonomous systems or surveillance.
Building an Autonomous Vehicle with Deep Learning, Computer Vision, and Jetson Nano
- Combining deep learning and computer vision techniques with Jetson Nano to build an autonomous vehicle capable of navigating environments and avoiding obstacles using object detection and path planning.
Design Courses
15-20 hours • 80% hands-on labs
Design, simulate, and implement basic digital circuits using Verilog HDL
Final Deliverables
✅ 6+ Verilog modules
✅ 1 Capstone FSM project
✅ Hands-on exposure to simulation tools (ModelSim, Vivado, or Quartus)
✅ Certificate of Completion + Portfolio-ready code
Beauty Products
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Choose Your Career Track
Designed for different experience levels and career goals
Mentorship
Receive guidance and insights from industry experts.
Hands-on Experience
Gain practical skills in a real-world cutting-edge projects.
Networking
Connect with professionals and peers in your field.
Skill Development
Enhance your technical and soft skills.
Career Advancement
Boost your resume with valuable experience.
Certificate
Get a certification to showcase your achievements.
3 Months Career Foundation Track
6 Months Professional Career Track
3 Months Intensive
Perfect for entry-level roles
- Core VLSI fundamentals
- Basic design & verification
- 1 major portfolio project
- Job interview preparation
6 Months Comprehensive
Designed for advanced roles
- Complete VLSI mastery
- Advanced protocols & verification
- Multiple industry projects
- 1-on-1 industry mentorship
- Career placement support
Our F.L.A.R.E Formula
Ignite your learning with AI-powered career growth
Your Learning Journey
A clear roadmap to VLSI expertise with hands-on milestones
Design & Verification
RTL design, SystemVerilog, testbench development, assertions
Deliverable: Complete verification project
Advanced Protocols
AMBA protocols, UVM methodology, coverage analysis
Deliverable: Protocol verification suite
Hardware Implementation
FPGA projects, real hardware deployment, portfolio development
Deliverable: Working FPGA projects
Right Plan for You Career
Flexible pricing options designed for your career goals
Career Foundation Track
3 Months Intensive
15000
₹
9,999
/ 3 months
Core course content
Basic projects
Community access
Certificate of completion
30 Days Money Back Guarantee
Professional Career Track
6 Months Comprehensive
25000
₹
19,999
/ 6 months
All Basic features
Advanced modules
Live expert sessions
1-on-1 mentoring
Industry projects
Job placement assistance
30 Days Money Back Guarantee
Placement
6 Months internship +3 Months
45000
₹
29,999
/Year
All Pro features
Premium hardware access
Guaranteed internship
Advanced certifications
Dedicated career counseling
30 Days Money Back Guarantee
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Testimonial
Testimonials Satisfied Clients
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Course Mentors
Instructional Advisors
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unreserved who. Entreaties mr conviction dissimilar me astonished.
unreserved who. Entreaties mr conviction dissimilar me astonished.
Kayla Calderon
Design Teacher
Alistair Maddox
Development Teacher
Anastasia Davies
Science Teacher
Jeremiah Skinner
Art/Craft Teacher
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August 12, 2025/
Designing a Binary Adder-Subtractor in Verilog – Complete Implementation Guide Description Learn how to implement a versatile binary adder-subtractor circuit…
August 12, 2025/
Demystifying the 3-to-8 Decoder in Verilog: Logic, Code, and Simulation DescriptionExplore how a 3-to-8 decoder works in digital circuits. Learn…
August 12, 2025/
Designing a 2×1 Multiplexer in Verilog: Simplifying Input Selection Description Learn how a 2×1 multiplexer (MUX) works and implement it…