🎟 Cambridge Wireless members can get a 20% discount by using the code: Cw20%Dc

Accelerate your verification workflows by mastering the application of Artificial Intelligence and Large Language Models (LLMs) in digital design verification. This intensive, full-day online training is designed specifically for hardware verification engineers looking to deploy AI tools safely, effectively, and productively in their day-to-day engineering pipelines.

👥 Who Should Attend:

• Design Verification (DV) Engineers & Managers

• RTL Designers looking to automate testbench generation

• Systems & Software Engineers working on hardware-software co-verification

• Engineering Leads looking to evaluate AI/LLM integration within their teams

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📚 WHAT WE WILL COVER:

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🔹 Foundations of AI & LLMs in Engineering

An introduction to generative AI architectures, prompt engineering tailored for hardware description languages, and understanding the security and intellectual property boundaries of commercial LLMs.

🔹 Automated Testbench & Stimulus Generation

Learn how to leverage AI to write SystemVerilog Assertions (SVA), generate constrained-random stimulus, and draft clean UVM testbench structures.

🔹 Smart Debugging & Log Analysis

Discover techniques to feed simulation logs, compilation errors, and wave trace summaries into AI models to dramatically reduce debug turn-around time.

🔹 Code Quality, Refactoring & Translation

Utilize LLMs to safely refactor legacy Verilog/SystemVerilog code, translate codebases, and automatically generate comprehensive specifications and documentation from your existing RTL.

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💡 Key Takeaways:

• Write effective, highly structured prompts for complex hardware verification tasks.

• Automate repetitive assertion (SVA) and covergroup creation using AI assistants.

• Build localized, secure workflows to protect company intellectual property while utilizing AI.

• Reduce the time spent debugging testbench failures and parsing compilation logs.

💰 Pricing:

• Standard Admission: £200 (Use code Cw20%Dc at checkout to get 20% off, reducing the ticket to £160)

Format: Live Online Full-Day Session

Duration: 1 Day | Full-Day Interactive Training

👉 [Click here to register]