OCDevel AI

Understand the machine learning behind a prediction, then learn to build and run the system that makes it. This AI course is for programmers who want a rigorous, practical education, starting with the field's basic ideas and progressing toward production systems. Concepts, mathematics, code and engineering develop together: use a model on real data, examine why it works, and return to the idea at greater depth. Probability, statistics and Bayesian inference receive sustained attention alongside linear algebra, calculus and optimization. The curriculum moves through classical machine learning, neural networks and PyTorch, then opens up transformers and large language models. Later lessons cover retrieval-augmented generation, fine-tuning, AI agents and MLOps, including evaluation, deployment and monitoring on AWS and Google Cloud. Worked examples connect an intuition to a derivation, a piece of Python or a system design, giving you material to practice beyond the audio. AI news connects new research and product releases to the fundamentals that explain them. General programming fluency is assumed; prior machine learning study is not.