Free Download AI-Augmented Digital Logic Design From Elementary to Master
Published 8/2025
Created by Dr. Honey Durgaprasad Tiwari
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 15 Lectures ( 7h 12m ) | Size: 3.82 GB
Not just another HDL course-use AI to learn, design, simulate, and master digital logic design, from beginners to profes
What you'll learn
Understand digital logic fundamentals and HDL basics through AI-guided exploration.
Apply AI tools to write, simulate, and debug Verilog/VHDL code using prompt engineering.
Analyze AI-generated HDL for correctness, structure, and synthesis compatibility.
Create testbenches and waveform analyses using AI-generated prompts and simulation tools.
Evaluate synthesis results using Yosys and refine HDL design with AI-based optimization.
Construct a complete, documented HDL project portfolio using AI for learning and delivery.
Requirements
Basic familiarity with digital logic concepts is helpful but not mandatory; no coding or HDL knowledge is required.
Description
Learn how to use Ai in commercial Digital Logic Design process.Completly outcome oriented courses focused to help learners build career in Artificial Intelligent for Chip Design.# Unique Features of the Course 1. AI-Augmented Learning Model - Teaches how to learn HDL using AI, not by memorizing syntax. - Uses ChatGPT/Gemini for code generation, debugging, and concept explanation. - Promotes logic-first, not syntax-first learning.2. Cloud-Based, No Installation Required - Entire course runs on Google Colab. - No need to install GHDL, Yosys, or GTKWave locally. - Works on low-spec laptops and all OS platforms.3. Hands-On from Day 1 - Real code, real simulation, and real outputs from the second module. - All lectures include AI prompts, code, and live demo.4. No Coding Background Required - Ideal for first-time learners of using AI in Digital logic Design. - Natural language prompts help generate Verilog/VHDL code. - Accessible to ECE, EE, CS, Physics, and Mechatronics students.5. Structured, Rubric-Based Assignments - Each module ends with a fixed-scope assignment. - Includes AI prompt, expected output, and evaluation rubric. - Suitable for Self-assement.6. Scaffolded, Progressive Learning Path - 16 modules (1 Intro + 14 Core + 1 Conclusion). - Gradually builds from simple gates to FSM and capstone project. - AI is used consistently as a learning co-pilot.7. Portfolio-Driven Learning - Students build and share a GitHub/Notion-based portfolio. - Outputs are verified, simulated, and documented. - Helpful for internships, job interviews, and research.8. Industry-Relevant, Tool-Focused - Tools used: ChatGPT, Gemini, Colab, Yosys, GHDL, Icarus Verilog, GTKWave. - Same tools used in real-world digital and embedded system design.9. AI Prompts as Learning Assets - Course includes reusable prompt templates. - Prompts cover logic blocks, debugging, testbenches, and synthesis. - Promotes AI-driven problem-solving.10. Career-Oriented Outcomes - Prepares learners for roles like: - FPGA/RTL engineer - Digital verification intern - Embedded systems designer - Research assistant - Freelance HDL developer# Course Modules: 1. Introduction to AI-Assisted Digital Logic Design - Course overview, tools, and AI workflow basics.2. Cloud-Based Workflow Setup - Using Google Colab, GitHub, and open-source HDL tools without installation.3. Learning HDL Through AI - Using AI prompts to understand HDL syntax, concepts, and debugging.4. Prompt-Driven HDL Generation - Crafting reusable AI prompt templates for common digital circuits.5. AI-Generated Testbenches - Creating, simulating, and refining testbenches with AI guidance.6. AI-Assisted Simulation & Debugging - Running simulations, analyzing waveforms, and fixing bugs with AI help.7. AI + Linting and Clean Code - Using Verilator and AI to improve HDL code quality.8. AI-Assisted Synthesis with Yosys - RTL-to-gate-level synthesis, netlist analysis, and optimization.9. FSM Design Using AI Prompts - Designing and simulating Moore and Mealy state machines.10. Arithmetic Circuits with AI - Building ALUs, adders, shifters, and other logic blocks.11. Documentation with AI Assistance - Generating diagrams, reports, and technical documentation.12. AI-Powered Project Showcase - Turning completed projects into portfolio-ready assets.13. Capstone Planning with AI - Selecting, scoping, and planning a complete HDL project.14. Capstone Execution & Showcase - Building, simulating, and presenting the final project.15. Conclusion & Future Pathways - Recap, reflection, and exploring advanced AI + HDL learning paths.
Who this course is for
Undergraduate students, hobbyists, educators, and professionals interested in learning or accelerating digital logic design using AI-no prior HDL experience required.
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