Building RAG Agents with LLMs
A six-session course covering advanced AI/graphics tools and techniques.
Introduction to Python
A course that introduces Python syntax, functions, conditionals, loops, and data structures like lists and dictionaries, with hands-on exercises tailored for data science applications.
Deep Learning System with MiniTorch
MiniTorch is an open-source educational framework for learning deep learning concepts by building neural networks from scratch in Python.
LLMOps
Teaches how to fine-tune, deploy, and manage large language models using open-source tools and best practices.
AI Applications and Prompt Engineering
Teaches how to build AI tools and write effective prompts for AI systems.
Building a Brain in 10 Minutes
A six-session workshop that teaches foundational techniques and tools for AI/training workflows, aimed at intermediate learners.
Introduction to Networking
Covers networking fundamentals, including the OSI model, TCP/IP protocols, Ethernet technology, and data center requirements.
Augment your LLM with Retrieval Augmented Generation
A workshop covering foundational tools, libraries, and techniques for AI/graphics development, delivered over multiple sessions.
Mastering Recommender Systems
A Class Central video teaching Kaggle Grandmaster strategies for building high-performing recommendation systems.
Feature Engineering, Supervised and Unsupervised Learning
A video from IMI/Parsa Vafaie covering how to prepare data (feature engineering) and contrasting supervised vs. unsupervised machine learning methods.