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Semiconductor

(Free Live) AI-Based Analog/Digital Circuit Design Automation Practice

Learn practical skills in AI-based semiconductor circuit design and verification automation.

montecarlo
regression-testing
ChatGPT
Free Live

11개 수업 학습

라이브 1 회

성취의 증표, 수료증을 발급해요.

지식공유자와 멘토링 혜택!

무제한 복습, 내 것으로 만들어요.

digitalopenlab님과 함께해요!

Digital Open Lab supports the creation of convergence industries based on new digital technologies and their global expansion.

We operate digital technology-related educational programs and provide a space where various technical ideas can be tested.

More

Co-instructor

'Online' basic learning + 'Offline' practical practice!

Inflearn's popular courses are now available
as offline classes at the Digital Open Lab!!

Learning efficiency will be much higher if you meet in person to ask questions and practice hands-on💪
If you are interested in circuit design automation using AI

Don't miss this opportunity and apply now! 👉

📍Information

Schedule:
- Online Live: 26.04.02 18:00~21:00
- Offline Training: 26.04.09 13:00~17:00
Location:
- Online Live: Live participation link within the curriculum below
- Offline: Pangyo Startup Campus, Building 1, 3rd Floor
Information:
- This course is conducted both online and offline. If you wish to apply for the offline session, please let us know via the survey.
- You can check your certificate of completion and the live recording within 3 days after the class ends.

Topic Introduction

Instructor: Circuit Design Mentor Sam-Coach

Course 4. AI-Based Analog / Digital Circuit Design Automation Practice

Part 1. [Online Live] Core Theory of AI Circuit Design (3 hours)

  • Introduction to AI-Based Circuit Design/Verification Automation

  • Analog (LDO) Design/Verification Automation: LTspice (.meas/.step) + Python + Batch


Part 2. [In-person Practice] AI-based Automation Hands-on (4 hours)

  • AI-based RTL Auto-generation: Spec/FSM → SystemVerilog Conversion Workflow

  • Digital Regression Automation: One-click Build and Simulation with TCL/DO/Batch

  • Sign-off Analysis Automation: Integrated generation of Timing, Power, and Coverage reports

(📌Please refer to the curriculum below for the detailed curriculum)

How to Apply

After applying for the online live session, if you wish to attend the offline training, please follow the process below!

🎬 Online Live

Step 1. Apply for Inflearn Challenge

→ Application Complete!


👨‍🏫 Offline Hands-on Training

Step 1. Apply for the Inflearn Challenge →
Step 2. Digital Open Lab Program Application →
Step 3. Inflearn Challenge Click [Continue Learning], fill out the survey, and submit

Precautions

  • Bringing your own laptop is mandatory for this training.

  • Education cancellation is possible up to two days before the training date (must contact the person in charge). In the event of same-day cancellation, unauthorized absence, or leaving without notice,
    restrictions will be placed on future applications for 2026 Digital Open Lab (Pangyo) training.

  • Expert consulting will be provided to two randomly selected trainees on the day of the training.

    Please select whether you would like to receive consulting when applying for the training.

    For approximately 10 minutes after the training, for two people randomly selected from among those who wish to participate,

    Consulting will be provided.

  • Completion is granted upon attending more than 80% of the daily training hours and participating in the satisfaction survey,

    Certificates of completion will be delivered only to those who apply after the training ends.

  • Parking space is limited, so we recommend using public transportation. 

    (Free parking is available for up to 3 hours and 30 minutes; 500 won per 10 minutes thereafter)

인프런_디지털혁신기술교육_포스터 (1)

4월

2일

챌린지 시작일

2026년 4월 2일 AM 07:00

챌린지 종료일

2026년 4월 9일 AM 09:00

챌린지 커리큘럼

All

12 lectures ∙ (3hr 4min)

Course Materials:

Live

챌린지에서 배워요

  • AI-based design efficiency maximization technology

  • Practical skills in semiconductor verification automation

Recommended for
these people

Who is this course right for?

  • Current design engineers who want to improve work efficiency

  • Those who are curious about circuit design methods using AI

Reviews

All

2 reviews

5.0

2 reviews

  • prestogg7630님의 프로필 이미지
    prestogg7630

    Reviews 1

    ∙

    Average Rating 5.0

    5

    36% enrolled

    • mino398661님의 프로필 이미지
      mino398661

      Reviews 1

      ∙

      Average Rating 5.0

      5

      9% enrolled

      취소 및 환불 규정
      챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

      Free