Self-Study vs Structured Learning
The Real Trade-offs.

Studies show only 5-15% of people who start self-study programs actually finish. The issue isn't capability, it's accountability. Without deadlines, feedback loops, or someone to answer questions when you're stuck, most people lose momentum around week 3-4. Self-study works best for people with a proven track record of completing side projects and online courses. If you've never finished a self-directed learning goal, structured support isn't a crutch. It's smart.

Structured learning exists on a spectrum: 1) Full bootcamps ($10K-$17K, 12-24 weeks, career changers), 2) Cohort-based courses ($500-$3K, 4-8 weeks, mixed experience), 3) 1:1 coaching ($2K-$5K, flexible timeline, personalized), 4) University certificates ($3K-$15K, academic depth). The right choice depends on your existing skills and how much personalization you need. Developers often overpay for bootcamps designed for beginners.

Yes, and it's often the best option. A hybrid approach combines self-paced learning materials with regular coaching check-ins. You control the pace but have accountability and expert guidance when stuck. This costs less than bootcamps ($2K-$5K vs $10K+), moves faster because it's tailored to your gaps, and has much higher completion rates than pure self-study. The key is having someone who knows the path review your progress and adjust your focus.

Most clients invest 10-15 hours per week, but this can be flexible based on your schedule. We'll have weekly 1:1 calls plus time for you to work on projects and learning. The key is consistency. Regular, focused effort beats occasional marathons.

Self-study works well when you have: 1) A track record of completing self-directed projects, 2) Clear goals and a structured curriculum, 3) Access to a community for questions, 4) Time pressure that creates natural accountability. If you've successfully learned 2-3 technologies on your own before, self-study for AI can work. But if your GitHub is full of unfinished repos and half-completed Udemy courses, that's data. Don't expect different results this time.

Not necessarily. While some programming experience is helpful, many of my clients have successfully transitioned from web development, data science, or other technical backgrounds. We'll assess your current skills during our strategy call and create a personalized plan that meets you where you are.

You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.

Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.

Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.

Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.