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

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!

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.

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