Foundations of AI: Neural Nets, Large Language Models & Generative AI

Foundations of AI: Neural Nets, Large Language Models & Generative AI
Starts Tuesday, January 27th, 2026 | Live Online & In-Person (Fremont, CA)
Tuesdays & Thursdays • 7:00 PM – 9:30 PM PST 12-weeks immersive course
Course Overview
Dive deep into the mathematical foundations, architectures, and hands-on engineering of modern AI. This comprehensive program blends theory, live coding labs, research readings, projects, and quizzes to give you real technical fluency — not just surface-level concepts.
Whether you aim to become an AI engineer, machine learning practitioner, or research-oriented developer, this course sets the technical groundwork you need.
What You’ll Learn
✔ Neural Network Fundamentals & Universal Approximation
✔ Backpropagation, Gradient Descent & Optimization
✔ CNNs, Autoencoders & GANs
✔ Physics-Informed Neural Networks & VAEs
✔ Self-Attention & Transformer Architectures
✔ Diffusion Models and Advanced Generative AI
✔ Real-world model training using PyTorch
Syllabus details

* Overview
* Introduction to AI
* Neural Networks are Universal Approximator
* Gradient Descent & activation functions
* Back propagation
* optimizers and loss functions
* Convolutional Neural Networks (CNNs)
* transposed convolution or Deconvolution
* Autoencoders
* Physics Informed Neural Networks (PINNs)
* Variational Autoencoders
* Genrative Adversial Networks
* Self-Attention & Transfomer Architecture
* types of Transformer architectures
* Transformers & Diffusion Models
* Kolmogorov-Arnold Theorem (KAT) & Neural Networks
* Transfoamtive Impact of Neural Networks and AI
Hands-On Experience
12 Live Lectures + 12 Lab Sessions — every week you’ll learn theory in class and apply it immediately in coding practice.
24 Quizzes reinforce your understanding.
10 Practical Projects let you build real models.
Weekly Research Paper Discussions deepen your context.
Teaching Assistants Available for support throughout the program.
Who Should Attend
Ideal for:
✔ Aspiring AI/ML engineers
✔ Software developers wanting deep AI skills
✔ Data scientists seeking cutting-edge model knowledge
✔ Tech professionals aiming to master neural nets, LLMs, and generative models
Prerequisite: Basic Python programming
Meet the Faculty
The program is led by an Instructor with 25+ years of experience teaching AI, ML, physics, and computer science at top universities and industry settings, alongside a team of specialized teaching assistants.
Register Now & Transform Your AI Expertise
Don’t miss this opportunity to build a strong technical AI foundation with live instruction, guided labs, and real projects.

Post-Workshop Resources
- Certificate of completion

Registration Bonus: Get a complimentary ticket to any one of our upcoming events when you register.
AI in Healthcare - March 5th 2026
AI in Finance - March 12th 2026
AI in Manufacturing - March 26th 2026
AI in retail/e-commerce - April 9th 2026

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Host or Publisher Global Big Data Conference