AI & Machine Learning
From Python foundations to production LLMs — build, evaluate and ship machine learning systems with real projects at every stage.
- AI & Machine Learning Foundations
Start from zero: set up Python, explore data with pandas, and build your first predictive models. Covers classification, model evaluation and responsible AI, finishing with an end-to-end house-price capstone.
- AI & Machine Learning: Practitioner
Go deeper into the algorithms behind real systems — decision trees, SVMs, random forests and ensembles — plus rigorous evaluation, clustering and neural networks with TensorFlow and Keras. Ends with a full classification pipeline.
- AI & Machine Learning: Production & LLMs
Build and ship modern AI: CNNs, sequence models, transformers and attention, then LLMs, prompt engineering, embeddings, vector databases and RAG. Covers fine-tuning, responsible deployment and MLOps, ending with a deployed application.