Create Advanced AI/ML & Data Science Lecture videos

I’m planning a comprehensive set of advanced-level video lectures that will walk learners through deep learning techniques, natural language processing, and reinforcement learning. Every lesson must feel like a polished conference talk: clear theory explanations, live Python coding in Jupyter or a similar environment, and crisp screen-plus-voice capture with unobtrusive on-screen graphics. What I need from you • A cohesive syllabus that sequences the three focus areas logically and flags any prerequisite knowledge. • Slide decks, notebooks, datasets, and any supplementary reading you reference, all organised by module. • Studio-quality recordings—clean audio, 1080p video, readable code font, and smooth editing that blends slides, code walkthroughs, and talking-head segments where appropriate. • Subtitled versions (SRT) and concise chapter markers to aid navigation. • Source project files so I can update content later. Acceptance criteria 1. Each module includes: a 10-15 min concept overview, a 20-30 min coding demo in Python, and an assignment or quiz. 2. Code runs end-to-end on a fresh environment using widely-available libraries such as PyTorch, TensorFlow, Hugging Face, or OpenAI Gym. 3. Visuals meet basic WCAG readability guidelines. 4. All media passes a quick plagiarism scan and copyright check. When you reply, please link to at least one previous lecture or tutorial video you produced at an advanced technical level and outline your typical workflow—from scripting and storyboarding through post-production. Feel free to suggest additional cutting-edge subtopics; I’m open to expanding the series if we can keep the same high standard throughout.