I’m organizing a hands-on, in-person programme for a cohort of intermediate-level professionals who already code in Python and now want to deepen their command of Machine Learning algorithms, essential Data Science tools and techniques, and real-world Artificial Intelligence applications. What I need from you is the complete design and delivery of the training experience—from a concise yet challenging syllabus through to engaging, example-driven sessions that balance theory with live coding and practical exercises. I value a classroom style where attendees can stop you mid-flow with questions, so the material must be modular and flexible enough to adjust on the spot without losing depth. Expect to cover supervised and unsupervised models, model evaluation and tuning, workflow automation with notebooks and pipelines, plus end-to-end AI case studies that show how models move into production. Popular libraries such as scikit-learn, TensorFlow/PyTorch, pandas and Jupyter should feature naturally in demonstrations. To keep the programme actionable after you leave, I’ll need: • a slide deck and annotated notebooks for every module • curated datasets and step-by-step lab instructions • short knowledge-check quizzes with answer keys • a takeaway resource list (docs, repos, reading) If you have previous experience running in-person workshops for a tech-savvy audience and can commit to two full training days (with an optional follow-up clinic), let’s talk dates and any logistical requirements you might have for the venue.