AI Theory & Research

Graduate-level ML course. Supervised learning, unsupervised learning, deep learning, reinforcement learning theory.

Rigorous ML theory and implementation. Linear models, neural networks, deep learning, reinforcement learning.

Linear algebra foundations for ML/AI. Matrix decompositions, optimization, randomized algorithms.

Learn Transformers, explained: Understand the model behind GPT, BERT, and T5

Build Stable Diffusion from scratch, understand diffusion models, transformers, advanced PyTorch.

State-of-the-Art Machine Learning Papers Implementation

Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.

Statistical Learning

This course teaches how to harness the power of AI to enhance user research and design methodologies. Participants will explore AI tools and techniques that can streamline data gathering, analysis, and interpretation in user research and enhance ideation and prototyping.

A self-study course for professionals to integrate AI technologies into fraud investigation practices.

This webinar explains how facial recognition systems work, their benefits and risks, and common commercial applications. It also discusses social, ethical, and regulatory considerations for the use of these systems in research, including potential harms and privacy considerations.

A project-based course where you'll apply EDA techniques to a real-world dataset of UN voting records, using R packages like dplyr and ggplot2.

This talk covers the basics of data governance, including the people, processes, and tools needed to automate data quality at scale. It addresses how to define data domains, organize data architecture, create data QA, and build more transparency into algorithms.

A specialized course that explores how artificial intelligence can enhance UX design processes. It covers practical tools, ethical considerations, and strategies to create inclusive and effective AI-driven designs.

Deep dives into the latest machine learning research papers. Understand cutting-edge AI research with clear explanations.