Learn how to make chips and hardware accelerators that are good for AI, deep learning, edge AI, and high-performance computing.
Level
Advanced
Duration
8 Weeks
Placement Client
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About AI Chip Design & Hardware Acceleration
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.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
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 Workloads & Computational Patterns
Understanding AI algorithms from a hardware perspective.
AI Accelerator Architectures
Architectural styles used in AI chips.
Memory Architecture for AI Chips
Optimizing data movement and memory hierarchy.
Dataflow & Parallelism
Exploiting parallelism for high AI performance.
Low-Power Design for AI Hardware
Power-efficient techniques for AI accelerators.
VLSI Embedded Systems And Chip Design Courses
No related courses found
Additional Program Highlights
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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
Knowledge Center
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What Makes TechPratham Training Different?
Course FAQs
How is AI chip design different from traditional chip design?
Industry-Recognized Certification
India
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Noida Office
C-2, Sector-1, Noida, Uttar Pradesh - 201301
India
Hyderabad Office
LVS Arcade, 6th Floor, Hitech City, Hyderabad