I’m laying the groundwork for an education-focused tech venture that blends practical machine-learning builds with real-world hacking demonstrations. My goal is to master both domains side-by-side, document the journey in a teachable format, and ultimately package everything into a market-ready course offering. Here’s what I need from you: • Design and walk me through end-to-end machine-learning projects (Python, scikit-learn, TensorFlow or similar) that clearly show how the models are planned, trained, evaluated, and deployed. • Pair each AI project with an ethical hacking component—think vulnerability discovery, basic penetration testing, or secure-by-design reviews—so learners see how offensive and defensive tactics intersect with intelligent systems. • Explain every step live (screen-share or recorded) and supply commented code, slides, and reference notes I can reuse in future course modules. • Suggest “tips & tricks” that showcase creative shortcuts, automation, or tool chains bridging AI and hacking workflows. Acceptance criteria: by the end of our engagement I’ll have at least three fully documented AI builds, three complementary hacking labs, and a cohesive outline that turns those assets into a sellable curriculum. If you’re comfortable mentoring, coding, and demonstrating hands-on security techniques responsibly, let’s talk about scheduling the sessions and defining milestones.