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Design Self-study Taste's Bible for Practical AI HW Design, Complete Conquest of CNN Operations (Accelerator Practice Using Verilog HDL + FPGA)

Study the basics of AI hardware with Matbi. As a non-memory design expert, it contains essential knowledge for designing good AI HW.

(5.0) 37 reviews

666 learners

  • semisgdh
Verilog HDL
FPGA
CNN
Embedded

Reviews from Early Learners

What you will gain after the course

  • Insights from a working non-memory designer

  • Essential knowledge for AI HW design

  • Experience in designing HW accelerators

The essential bible for AI HW design!
You can build experience that can be used immediately in practice.

Check out the Tasty Universe roadmap for you who dream of becoming a non-memory design expert.
(Click the image to go to the detailed roadmap page.)

Hello!
Design Self-Study's Matbi here.

This is the third lecture following Verilog HDL Season1 and FPGA Season1.
While not mandatory, the content is primarily structured for those who have completed the prerequisite courses to maximize their learning experience.

This course covers AI HW (AI Hardware) design that non-memory designers and hardware engineers must know.
If you're curious about what AI HW design is and how to achieve optimal AI HW design, please pay attention to this course!

Non-memory semiconductor design essential knowledge!

💡 Please check before taking the course!

  • This course does not cover the prerequisite course curriculum. Questions about content covered in the prerequisite courses are handled in those prerequisite courses, so please enroll only if you are prepared 🙂
  • You can check the detailed introduction video and curriculum through the preview video. Please be sure to watch it before enrolling!

Many opportunities in AI HW design are
waiting for you.

The AI HW design field is a field that has been mature for less than 10 years. As such, numerous domestic and international startups are each striving to become the world's best tech companies.

In fact, the demand for AI hardware such as GPUs, AI ASSPs/ASICs (NPUs), and FPGAs is steadily increasing, and it is expected that their future value will continue to rise for more than 10 years. As indicated by the characteristics of being an emerging technology with a market that has high expected demand, I am confident that the prospects for the AI hardware field will remain bright in the future. This also means that great opportunities await those of you in the AI hardware field.

Source: Semiconductor Engineering

If you study AI HW design, a field where the market actively demands specialized technical skills, your market value will also increase.
Even if you're already earning a salary in the top 1% of the industry, there will definitely be opportunities for you to earn an even higher salary.

After completing all of these lectures

You are ready to design good AI HW.
Since this is an emerging field where technological demand has arisen less than 10 years ago, the market is not yet mature. This means that the direction of technology has not been established and technical know-how is not being passed down either.

Having worked on AI HW design for 4 years and used it in actual products, this course contains core theories and practical exercises that can be immediately applied in real-world situations.
I recommend this course to those preparing to enter as AI HW master's/doctoral students or industry practitioners.

See you in the field 🖐

Thank you sincerely for reading this.
If you've read this far, even if you don't take my course,
I'm confident that you will become excellent design engineers.

The choice is yours.
I look forward to meeting you in the field.

Thank you. From Matbi.

🎁 We're giving discount coupons to Design Self-Study Community members! 🥰

Join the Design Self-Study Community and get discount coupons! Join Link (Click)

Recommended for
these people

Who is this course right for?

  • People who have jobs related to AI HW and are preparing for master's or doctoral degrees

  • Someone with basic experience in digital circuit design

  • Anyone interested in AI HW design

Need to know before starting?

  • Verilog HDL

  • FPGA

  • C

Hello
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Answers

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Rating

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Courses

안녕하세요. 설계독학의 맛비입니다.

현) Global Top5 Fabless기업에서 HW IP 설계하고 있습니다.

세상에 없던 그리고 여러분들의 현업 생활에 도움이 되는, "진짜 반도체 설계 실무 강의"를 만들고 있습니다.

설계독학 로드맵과 함께 여러분들의 실력을 키워보아요.

설계독학과 함께할 수 있는 링크입니다. 함께 즐공하고 성장해요!

Curriculum

All

25 lectures ∙ (9hr 24min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

37 reviews

5.0

37 reviews

  • soi897님의 프로필 이미지
    soi897

    Reviews 6

    ∙

    Average Rating 5.0

    5

    80% enrolled

    I had an experience accelerating a given model with GPU in the lab. I really wanted to design it myself, but I was at a loss because there were no proper lectures or books that taught me about hardware accelerator design. Then I came across Matbi's AI hardware design lecture. This lecture was very helpful not only for hardware accelerator design methods but also for understanding the basics of deep learning. I recommend this lecture to those who are curious about hardware accelerator design methods and those who want to efficiently study by selecting knowledge that is helpful for hardware design among the vast amount of deep learning knowledge. I'm looking forward to the next lecture!

    • semisgdh
      Instructor

      Thank you so much for your detailed second comment!! It really helps me a lot in making the next lecture. I made it thinking that it was a lecture for beginners in the field. That means there are a lot of things you can do based on this knowledge in the future, right?! There are a lot of materials on the Internet, so if you read them and study them, it will help you improve your skills. Enjoy :)

  • hard2mai1290님의 프로필 이미지
    hard2mai1290

    Reviews 1

    ∙

    Average Rating 5.0

    5

    100% enrolled

    • semisgdh
      Instructor

      Thank you, Donghyun Kwak, for leaving such a valuable review. It gives me great strength to see you follow the course all the way through and leave such positive feedback. The content is difficult and lengthy, but I think you were able to understand it more deeply because you followed along step by step. I'll continue to prepare helpful practice-based courses in the future. Enjoy your studies!

  • pyj41642311님의 프로필 이미지
    pyj41642311

    Reviews 4

    ∙

    Average Rating 4.0

    5

    100% enrolled

    • semisgdh
      Instructor

      pyj4164, thank you for your valuable course review! I know the topic of AI accelerators can seem difficult at first, but I'm truly grateful that you stayed focused until the end. I hope this course becomes a solid foundation for your future studies. If you have any questions, please feel free to leave them in the Q&A anytime. I'll continue to repay you with even better courses!

  • cornchip23575068님의 프로필 이미지
    cornchip23575068

    Reviews 1

    ∙

    Average Rating 5.0

    5

    100% enrolled

    • semisgdh
      Instructor

      cornchip2357, congratulations on completing the course! It's amazing that you directly implemented AI hardware computational flows through Verilog and FPGA practice. I hope this course served not just as code learning, but as an opportunity to understand actual hardware architecture. This experience will be a great asset in your future projects.

  • jumg17047841님의 프로필 이미지
    jumg17047841

    Reviews 3

    ∙

    Average Rating 5.0

    5

    60% enrolled

    Thank you for the great lecture!

    • semisgdh
      Instructor

      Thank you for leaving a review, Yoonmae! You've already passed the halfway point. If you continue steadily like this, you'll be able to grasp the entire flow of AI accelerator practice at a glance. Let's run together until the finish line!

$254.10

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