VLSI Online Course
Understand VLSI
Bharatskillz's VLSI Internship Program to give a boost to your career.
- 21 hours on-demand video
- 15 articles
- 55 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Become an Expert in
VLSI
Over 150+ students have already registered for the next batch!
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- Combinational and sequential logic design Flip-flops, registers, and counters
- MOSFET and CMOS technology Bipolar junction transistors (BJT)
- VLSI Design for Artificial Intelligence
- VLSI Design for Aerospace and Defense Applications
- Microprocessors and Interfacing
- Computer-Aided Design (CAD) for VLSI
- Implementation of IoT with Raspberry Pi (contd), Introduction to SDN, SDN for IoT
- VLSI Design Internship
- No Prior AI Knowledge Required
- Working Internet Connect.
Certainly! A VLSI (Very Large Scale Integration) curriculum typically covers a range of topics from the basics to advanced concepts.
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VLSI Course Syllabus
- Number systems and codes
- Boolean algebra
- Combinational and sequential logic design
- Flip-flops, registers, and counters
- Semiconductor basics
- PN junctions, diodes, and transistors
- MOSFET and CMOS technology
- Bipolar junction transistors (BJT)
- Introduction to VLSI
- Design flow and methodologies
- ASICs vs. FPGAs
- Basics of computer organization
- Memory hierarchy
- Instruction set architecture
- Verilog or VHDL programming
- Simulation and verification techniques
- Fault modeling
- Test generation and fault simulation
- Built-in self-test (BIST)
- CMOS inverter and logic gates
- Transmission gates
- CMOS circuit design principles
- Adders, multipliers, and memory circuits
- Arithmetic logic units (ALUs)
- Clocking and synchronization
- Floorplanning
- Placement and routing
- Parasitic extraction and simulation
- Power consumption in digital circuits
- Low power design techniques
- Power optimization strategies
- Operational amplifiers
- Data converters (ADCs, DACs)
- Analog circuit design considerations
- Design for testability (DFT)
- Automatic test pattern generation (ATPG)
- Boundary Scan and JTAG
- Nanotechnology and VLSI
- Quantum computing and VLSI
- Advanced technologies and applications
- Design and implementation of a VLSI project
- Project management and documentation
Certificate Included



Pricing plans
VLSI Course Fee
Top-quality learning that’s easy on your pocket.

Self Paced
You’ll Get Access to:-
Internship Certificate by Co-Branded Company
-
1 Minor + 1 Major project
-
LIVE INTERACTIVE SESSIONS
-
Recorded Modules
-
25+ hours of video content access
-
Certificate on successful completion
-
Training Certificate from Bharat Skillz
Mentor Led
Everything in Self Paced, Plus:-
Internship Certificate by Co-Branded Company
-
1 Minor + 1 Major project
-
LIVE INTERACTIVE SESSIONS
-
Recorded Modules
-
25+ hours of video content access
-
Certificate on successful completion
-
Training Certificate from Bharat Skillz
FAQ's
At Bharat Skillz, we’re committed to delivering top-notch support—your questions are our priority.

Python basic Python concepts & terms Python fundamentals Python data structure & modules
Pandas & visualization
Introduction to probability theory Distribution central limits theorem & hypothesis testing
Introduction to Artificial intelligence Applications of Artifiticial intelligence Hands on work with Python
Introduction to Neuron deep learning (basics & scope) Evolution of deep learning Applications of Deep learning Machine learning Vs. Deep learning Techniques & types of deep learning Introduction to ANN
Neuron Diagram Neuron Models & NETWORK FUNCTIONS of Neurons activation Functions of Gradient descent & Stochastic Ramp function & sigmoid function & Gaussian function
Perceptron & multilayer network Backpropagation Deep neural network installing libraries Creating ANN python Training the model
Introduction to open Cv (Image processing) Learning basic image manipulations Introduction to CNN CNN Institution Convolution Operation pooling Flattering building a CNN using python Training the model
Introduction to open Cv (Image processing) Learning basic image manipulations Introduction to CNN CNN Institution Convolution Operation pooling Flattering building a CNN using python Training the model