AI & ML Track
AI & MLPath: From Zero to LLM
What is a Neuron?
Learn the foundational math of a perceptron, including weights, biases, and activation thresholds through an interactive demo.
Neural Networks
Deconstruct feedforward neural networks, backpropagation, and how information flows through layers in a step-by-step visual animation.
How Training Works
Visualize gradient descent, loss functions, and learning rates in real time with an interactive optimization graph.
Word Embeddings
Explore the vector space where words capture meaning. Map Word2Vec intuitions in an interactive 2D spatial coordinate visualization.
Attention Mechanism
Trace Query, Key, and Value interactions that power modern LLMs. Run step-by-step self-attention calculations on live token inputs.
The Transformer
Unpack the multi-head attention and encoder-decoder architecture that revolutionized modern Generative AI systems.
How LLMs Work
Learn what happens during pre-training, instruction fine-tuning, RLHF alignment, and active token generation cycles.
RAG Pipelines
Connect document chunking, semantic vector database retrieval, and model generation into an enterprise-ready pipeline.
Building AI Agents
Design autonomous AI agents utilizing tool execution, conversational memory buffers, planning steps, and orchestration routines.
Prompt Engineering
Master techniques like Chain-of-Thought, few-shot prompting, and structured schemas to generate highly reliable outputs.
Linear Regression
Understand the foundation of predictive algorithms. Fit lines of best fit and optimize slopes with gradient descent.
Logistic Regression
Learn binary classification models by mapping data to class probabilities using the mathematical sigmoid function.
Decision Trees
Walk through recursive binary splitting, calculating node entropy and Gini impurity metrics dynamically.
Random Forest
Construct ensemble classifiers that aggregate decision trees through bootstrap sampling and feature bagging.
K-Means Clustering
Cluster unlabeled data iteratively. Visualize centroid migration and class assignment steps in real-time.
Cosine Similarity
Calculate vector direction similarity to run semantic keyword search, context matching, and document rank algorithms.
Types of AI & AI Agents
A taxonomy of AI systems by capability and functionality, and a deep-dive into the six types of AI agents — from simple reflex to multi-agent systems.