How to Learn AI
While Working Full-Time?

Most working professionals can make meaningful progress with 5-10 focused hours per week. The key word is focused. Thirty minutes of deliberate practice beats two hours of passive video watching. With efficient learning strategies and clear priorities, you can build job-ready AI skills in 6-12 months without burning out.

Early mornings work best for most people. Your mind is fresh, no meetings compete for attention, and you start the day with a win. Even 45 minutes before work, 5 days a week, compounds into serious progress. Weekend sessions can go deeper on projects. The worst approach? Trying to learn after exhausting workdays.

You don't. That's the point. Learning AI requires cognitive bandwidth. Instead of fighting fatigue, work with your energy cycles. Protect your peak hours for learning. Use low-energy periods for passive activities like listening to podcasts or reviewing notes. And build recovery time into your schedule so you don't burn out.

For developers with coding experience: 6-12 months to become job-ready. For non-technical professionals: 12-18 months. These timelines assume consistent effort of 5-10 hours weekly. The biggest variable isn't raw hours but consistency and having a clear, personalized learning path that builds on your existing skills.

Self-study works if you have strong self-discipline and clear direction. But most busy professionals benefit from coaching because: 1) It eliminates wasted time figuring out what to learn, 2) Scheduled calls create accountability that self-study lacks, 3) You get personalized guidance that adapts to your schedule and goals. Time is your scarcest resource. Coaching helps you use it efficiently.

Weekend-only learning is better than nothing, but it's not optimal. Your brain consolidates learning during sleep. Spacing practice across days creates stronger retention than cramming. Try to do at least 2-3 short weekday sessions, even just 20-30 minutes, to maintain momentum between weekend deep dives.

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.

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.

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.