My intermediate-level data-analytics cohort has mastered the basics and now needs an engaging instructor who can weave generative AI into everyday analytical work. The sessions must show, step by step, how OpenAI GPT-3 can automate data-cleaning scripts, generate exploratory-analysis narratives, and even help prototype machine-learning models. You will also demonstrate how MidJourney can turn complex insights into striking, share-ready visuals that elevate traditional dashboards. Core skills to teach • Data cleaning & preprocessing – practical Pandas, NumPy and GPT-driven code suggestions • Data visualization – Matplotlib/Seaborn/Plotly plus MidJourney prompt techniques for eye-catching infographics • Machine-learning algorithms – scikit-learn workflows, with GPT-3 assisting in feature engineering and hyper-parameter ideas What I need from you 1. A concise curriculum outline (8–10 modules) with clear learning outcomes 2. Slide deck, Jupyter notebooks, and sample datasets for each module 3. Two hands-on projects that blend classical analysis with generative-AI components 4. Live, interactive delivery (online) spread across 4–6 sessions, each 90 minutes 5. Short post-session quizzes and an end-course capstone brief Acceptance criteria • All code runs in a standard Python 3.10/Jupyter environment without extra setup headaches • GPT-3 examples use the current OpenAI API, clearly noting temperature, token limits, and prompt structure • MidJourney prompts produce the specific visual styles demonstrated in class; links or screenshots must be supplied • Material is branded with our logo and follows our colour palette, which I will share after kickoff Timing is flexible over the next four weeks, but the outline should be ready within five days of award so we can promote the course internally. If you have previously mixed data analytics and generative AI in a classroom or corporate setting, include a brief note about the most successful technique you used—real stories help me gauge fit.