Rated #1 Recognized as the No.1 Institute for AI Chip Design & Hardware Acceleration Online Training Course. This program gives you a lot of information about chip architectures that are made for artificial intelligence workloads. It talks about hardware-software co-design and AI-specific processors like GPUs, TPUs, and custom accelerators. Students learn about RTL design, memory hierarchy, parallelism, and ways to make things work better. At the end of the course, students will know how to design, test, and simulate AI chips for use in the real world.
VLSI Embedded Systems And Chip Design
AI Chip Design & Hardware Acceleration
Learn how to make chips and hardware accelerators that are good for AI, deep learning, edge AI, and high-performance computing.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
Placement Client
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About AI Chip Design & Hardware Acceleration
Training Plan
01
About trainer
Working professional who is carrying more then 10 years of industry experience.
02
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
03
e-Book
E-book provided by TechPratham. All rights reserved.
04
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
05
Video Recording
Daily Session would be recorded and shared to the candidate.
06
Projects
Live projects will be provided for hands-on practice.
07
Resume Building
Expert-guided resume building with industry-focused content support.
08
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
AI Chip Design & Hardware Acceleration Course Curriculum
Introduction to AI Hardware
Overview of AI workloads and the need for hardware acceleration.
AI/ML fundamentals
Compute vs memory bottlenecks
CPU vs GPU vs AI accelerators
Edge vs cloud AI
AI hardware landscape
AI Workloads & Computational Patterns
Understanding AI algorithms from a hardware perspective.
Neural network basics
Matrix multiplication
Convolution operations
Dataflow patterns
Performance metrics
AI Accelerator Architectures
Architectural styles used in AI chips.
Systolic arrays
SIMD and VLIW
Tensor cores
Custom accelerators
Scalability challenges
Memory Architecture for AI Chips
Optimizing data movement and memory hierarchy.
On-chip SRAM
HBM and DDR
Cache vs scratchpad
Memory bandwidth
Data reuse strategies
Dataflow & Parallelism
Exploiting parallelism for high AI performance.
Spatial vs temporal parallelism
Dataflow mapping
Pipelining
Throughput optimization
Latency trade-offs
Low-Power Design for AI Hardware
Power-efficient techniques for AI accelerators.
Power consumption in AI workloads
Clock and power gating
Voltage scaling
Approximate computing
Energy efficiency metrics
VLSI Embedded Systems And Chip Design Courses
No related courses found
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
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Who Should Take AI Chip Design & Hardware Acceleration
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For AI Chip Design & Hardware Acceleration
Key Projects
AI Chip Design & Hardware Acceleration
RTL Design of a Simple AI Accelerator
Build a custom RTL design for a matrix multiplication accelerator and test its performance against CPU and GPU baselines.
AI Edge Device Hardware Simulation
Design a lightweight AI chip for edge inference, focusing on low power consumption and memory efficiency.
Hardware-Software Co-Design for AI Model Inference
Integrate a hardware accelerator with TensorFlow/PyTorch for CNN model inference and analyze performance gains.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Latest Hiring
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Recently Placed Candidates
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Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
How is AI chip design different from traditional chip design?
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