Learn Prompt Engineering
That Gets You Hired.

Yes—but with nuance. Raw 'prompt engineering' job titles are rare. What's valuable is AI fluency: the ability to get consistent, high-quality outputs from AI tools to solve business problems. This skill is increasingly expected across roles—marketing, product, engineering, operations. Companies pay premium for people who can reliably leverage AI to 10x their output.

The specific syntax will evolve, but the underlying skill won't. Understanding how to decompose problems, provide context, guide reasoning, and evaluate outputs—these meta-skills transfer across any AI system. People who learned prompting on GPT-3 had no trouble adapting to GPT-4 or Claude. Focus on principles, not memorizing prompts.

In 2026, almost every knowledge work role benefits. High-demand applications include: content and marketing roles (AI-augmented creation), product managers (rapid prototyping, user research), developers (code generation, debugging), analysts (data interpretation, reporting), and operations (automation, process optimization). Dedicated 'AI specialist' roles also exist at larger companies.

Basic competency: 2-4 weeks of focused practice. Professional-level skills: 2-3 months of applying techniques to real projects. The key is deliberate practice—not just reading about prompts, but using them daily to solve actual problems. Document your results. That portfolio matters more than any certification.

Focus on business impact, not clever prompts. Good examples: 'Reduced content creation time by 60% using structured prompt chains,' 'Built customer service automation handling 40% of tier-1 tickets,' 'Created data analysis workflow that cut reporting time from 4 hours to 20 minutes.' Show the problem, your approach, and measurable results.

The most valuable combinations: prompt engineering + domain expertise (marketing, finance, legal, etc.), prompt engineering + basic coding (automate and scale your prompts), prompt engineering + product thinking (identify where AI adds value). Pure prompt skills have limited ceiling—pairing them with another strength creates a unique, high-value profile.

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.