NVIDIA Certification Workshop

Saturday, April 25, 2026

Dive into the powerhouse of modern AI with NVIDIA's Fundamentals of Deep Learning (FDL)! In this intensive one-day workshop, master hands-on training of deep neural networks for computer vision and NLP using PyTorch. Build real models from scratch, unlock transfer learning tricks, and walk away ready to create your own AI projects — certificate included!

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Program Features


  • Hands-on project based learning: Learn by doing, not watching
  • In-person instructor led workshop: Get immediate answers and feedback from an NVIDIA certified instructor
  • Practical machine learning: Build real-world applications and do meaningful exercises
  • NVIDIA Certificate: Earn an industry-wide recognized NVIDIA certificate on Fundamentals of Deep Learning (FDL) upon completion
  • Beyond workshop: Personalized and customized online support and guidance to learners after the workshop ends
  • Program Contents


  • Neural Networks (NN): Learn about and apply neural networks to solve practical real-world problems involving binary and multi-class classifications
  • Convolutional Neural Networks (CNN): Apply convolution operations on images to classify images using Convolutional Neural Networks (CNN)
  • Pre-trained Large Language Models (LLM): Do sentiment analysis using LLMs
  • Transfer Learning: Transfer a model's knowledge in a domain to a similar domain
  • Data Augmentation: Augment existing data and fine-tune a pre-trained model
  • Generative AI and Transformers: Learn about how attention mechanism works in a transformer, which is at the heart of modern LLMs and Gen AI
  • Advanced Topics: Introduction to autoencoders, diffusion models, and reinforcement learning
  • Program Instructor Credentials


  • NVIDIA certified instructor for Fundamentals of Deep Learning (FDL). NVIDIA Certificate ID number: AYvwip1dSMuSUVCWj1knIQ
  • 20+ years of college level teaching experience in math, engineering, and AI
  • Specializes in teaching math, Al, and STEM curriculum
  • Worked in high-tech in Silicon Valley as an engineer for AMD and SUN Microsystems
  • Worked on CPU design verification for x86 and RISC instruction sets including cache coherence, micro-code, I/O, MMU, PCI Bus ASIC
  • Program Requirements


  • The most important requirement is curiosity with motivation
  • A basic knowledge of any programming language is recommended, but not required. Preferably Python, but some knowledge of any of the popular programming languages is sufficient
  • This program is designed for learners with different knowledge levels such as working professionals, college students, and advanced high or middle schoolers
  • Some basic knowledge of probability, statistics, and calculus would be nice, but not required
  • A laptop with Chrome browser installed on it

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