Most developers learn AI in theory and then get stuck when it's time to
actually build. Build & Learn combines expert guidance with real
implementation: we work on your actual project, at your pace, when you
need it.
For individuals and small teams.
Days of generic courses that don't fit your specific project or goals.
Long-term contracts for expertise you only need occasionally.
Struggling through documentation and scattered tutorials with no one to ask.
Expert guidance, focused on YOUR project, available when YOU need it.
We talk about your individual needs and goals: where you are, where you want to be. The outcome is a set of topics and a plan for your personal learning path.
I bring you up to speed on the technologies we identified. Hands-on, practical, and tailored to your specific project.
Apply your new knowledge in guided sessions where I help you build your real project. Book as you go, for as long as you need. No minimum commitment.
Working on something different? I adapt to any AI or software
engineering challenge you're facing.
Start building fast with AI-generated code, then learn how to make it scalable and maintainable. No rewrites needed as you learn structured software development while keeping your creative flow. Transform vibe-coded prototypes into production-ready applications through expert guidance.
Learn Claude Code, VS Code Agent, Cursor, and other agentic coding tools. Discover how to use skills effectively for your projects, create custom skills tailored to your requirements, and maintain coding standards while staying current with the latest AI-assisted development techniques.
Set up functional agents without writing code, then dive deep into agent internals step-by-step. Learn to analyze workflows, adapt your agents accordingly, and co-evolve both systems together. Stay current with rapidly evolving agent technologies and best practices.
Master deployment infrastructure with tools like vLLM, SGLang, and NVIDIA Dynamo. Learn production deployment strategies, performance benchmarking techniques, and observability practices. Build the technical foundation to run AI systems efficiently at scale on cloud services or on-premises.
Implement comprehensive security for AI projects through guardrailing strategies, red teaming exercises, and robust observability systems. Learn to protect your AI products from vulnerabilities while maintaining compliance with governance requirements and industry standards.
Master clean architecture and hexagonal patterns to build maintainable AI systems. Learn how coding assistants can help implement architectural patterns correctly. Future-proof your career by adding software architect skills to your AI engineering expertise.