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CoursesVLSI Embedded Systems And Chip Design
Master's in AI Chip Architecture & Agentic EDA Orchestration
VLSI Embedded Systems And Chip Design
Master's in AI Chip Architecture & Agentic EDA Orchestration

Master’s in AI Chip Architecture & Agentic EDA Orchestration trains engineers to design intelligent AI processors using autonomous EDA workflows and next-gen silicon innovation.

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Level

Advanced

Duration

16 weeks

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About Master's in AI Chip Architecture & Agentic EDA Orchestration

Master’s in AI Chip Architecture & Agentic EDA Orchestration is an advanced, industry-focused program designed for engineers who want to lead next-generation semiconductor innovation. This program trains you to design high-performance AI processors, optimize silicon architectures, and implement intelligent, agent-driven EDA workflows. You will master AI accelerator design, chip architecture modeling, power and performance optimization, and autonomous design orchestration. With real-time projects and hands-on exposure to modern EDA tools, you gain the expertise required for AI hardware engineering, advanced SoC design, and intelligent semiconductor automation.

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.

Master's in AI Chip Architecture & Agentic EDA Orchestration Course Curriculum

 Foundations of Semiconductor & Digital Design 

Foundations of Semiconductor & Digital Design builds core knowledge in CMOS technology, logic gates, digital circuits, timing concepts, and VLSI basics essential for advanced chip architecture.

Mini Lab: Design ALU, Counter, FIFO in Verilog
Introduction to Verilog HDL
FSM design methodology
Digital logic design (Combinational & Sequential circuits)
Semiconductor basics & CMOS fundamentals

Computer Architecture & AI Fundamentals 

Computer Architecture & AI Fundamentals covers processor design, memory hierarchy, parallel computing, and core AI concepts to build efficient, high-performance intelligent systems.

Python basics for hardware engineers
MAC operations & memory bandwidth concepts
Introduction to AI models: CNN, Transformers, LLMs
Compute requirements for AI workloads
Computer architecture basics (CPU, GPU overview)

AI Accelerator & NPU Architecture

AI Accelerator & NPU Architecture focuses on designing high-performance neural processing units, optimizing MAC arrays, memory bandwidth, and parallel dataflow for efficient AI computation.

Mini Project: 4-bit Matrix Multiply Accelerator (RTL + Python model)
Quantization (INT8, FP16)
Dataflow strategies (Weight stationary / Output stationary)
Systolic arrays & matrix multiplication engines
Domain-Specific Architectures (DSA)

Verification & Agentic RTL Development 

Verification & Agentic RTL Development focuses on building robust testbenches, functional coverage, and AI-driven RTL automation to ensure reliable, high-quality chip design and faster verification closure.

Mini Project: Self-checking Testbench + AI-generated assertions
Building simple RTL copilot using Python
Prompt engineering for hardware design
Introduction to LLM-assisted RTL generation
SystemVerilog & basic assertions (SVA)

Advanced AI Chip Design & Agentic EDA Tools Stack

This module equips you with industry-relevant tools required for AI chip architecture, intelligent RTL development, and autonomous EDA orchestration. You gain hands-on expertise in programming, hardware description, machine learning, and physical design automation to build next-generation semiconductor solutions.

Physical Design & Automation Foundations
Machine Learning for Silicon Optimization
Agentic AI Orchestration Tools
RTL Design & Hardware Description
Python & AI Computing Frameworks

Physical Design & Timing Fundamentals

Physical Design & Timing Fundamentals covers placement, routing, clock tree synthesis, static timing analysis, and timing closure techniques to ensure optimal performance, power efficiency, and reliable silicon implementation.

Multi-corner PVT analysis basics
Static Timing Analysis (Setup/Hold, Slack)
Clock Tree Synthesis (CTS)
Floorplanning, Placement & Routing concepts
ASIC design flow overview

VLSI Embedded Systems And Chip Design Courses

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Who Should Take Master's in AI Chip Architecture & Agentic EDA Orchestration

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles For Master's in AI Chip Architecture & Agentic EDA Orchestration

AI Chip Architect

AI Accelerator Design Engineer

RTL Design Engineer

Key Projects

Master's in AI Chip Architecture & Agentic EDA Orchestration

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End-to-End AI Accelerator Design & Verification Project

In this project, learners architect a complete AI accelerator from specification to verification. You will define compute units, pipelines, memory hierarchy, and dataflow; implement RTL using HDLs; and verify functionality using simulation and testbenches. Master modern AI chip design workflows used in industry.


Key Highlights:

• Design MAC units, tensor cores, and an optimized memory hierarchy.

• Develop RTL using Verilog/SystemVerilog with modular architecture.

• Build testbenches and perform functional and coverage verification.

• Analyze throughput, latency, and bandwidth for performance tuning.

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 Agentic EDA Orchestration for Adaptive Floorplanning

Build an intelligent EDA orchestration system that uses agentic AI to automate floorplanning and optimization. Integrate AI agents with standard EDA tools to explore design trade-offs, minimize area, reduce wirelength, and enforce timing constraints. Learn how AI transforms chip design productivity.


Key Highlights:

• Develop AI agents for automated placement and routing optimization.

• Implement timing closure, congestion reduction, and area balancing.

• Integrate scripts with industry EDA tools for adaptive workflows.

• Compare AI-driven and traditional floorplanning efficiency metrics.

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Performance-Driven AI Chip Synthesis & Power Optimization

This project focuses on synthesizing an AI chip with performance, power, and area optimization. You will use high-level synthesis (HLS), power analysis tools, and agent-assisted optimization loops to balance throughput and efficiency, mirroring workflows used in cutting-edge semiconductor design.


Key Highlights:

• Execute the RTL-to-GDS flow, including synthesis and timing analysis.

• Perform static and dynamic power optimization techniques.

• Apply AI-assisted optimization to improve PPA (Power, Performance, and Area).

• Validate the design across multiple operating corners and constraints.

Placement Process

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What Makes TechPratham Training Different?

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.
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