Notes, exercises, and projects from my Machine Learning & AI bootcamp journey.

Topics

• Data Science Foundations
• Data Analysis I — collecting and preparing data
• Data Analysis II — querying and visualising data
• Decision Science
• Machine Learning Foundations
• Applied Machine Learning
• Deep Learning
• Generative AI and Transformers
• Machine Learning Engineering (MLOps)
• Final Project

The programme includes Python, SQL, Pandas, NumPy, scikit-learn, TensorFlow, Keras, Hugging Face, Docker, FastAPI, and MLflow. The newer AI-forward curriculum also expands on LLMs, RAG, agents, reinforcement learning, evaluation, and GANs.