You don't need to hire an army of AI engineers — you need to upskill the talented team you already have. I deliver hands-on, custom corporate training that takes your developers and product people from AI-curious to shipping real AI features.
The journey · from your team to AI specialists
Hiring senior AI talent is slow, expensive and competitive. Your existing engineers already understand your codebase, your customers and your domain — they just need the AI skills layered on top.
Upskill in weeks instead of spending months recruiting scarce AI engineers.
Investing in growth keeps your best people engaged and loyal.
Build AI capability in-house instead of paying agencies indefinitely.
How modern AI works, capabilities and limits, and prompt engineering for real results.
Embeddings, vector databases, and grounding AI in your company's own knowledge.
Tool-using, multi-step agents with LangGraph/LangChain for real workflows.
RAGAs, LangSmith, guardrails — shipping AI that's measured, reliable and responsible.
Integrating AI into your existing stack with the right UX and architecture.
For PMs and leaders: spotting opportunities, scoping AI work, and managing AI delivery.
We map your team's current skills, stack, and the outcomes you need.
A custom curriculum and format — workshop, sprint, or multi-week program.
Live, hands-on sessions with labs built around your real use cases.
Follow-up support and resources so the learning sticks and ships.
Your team learns from an architect who ships these systems for a living — 12+ years across healthtech, fintech, HR-tech and e-commerce, with real agentic AI and RAG products in production.
Representative training engagements. Client names are protected under NDA — what follows is the situation, approach and result.
A product and engineering org was excited about AI but lacked a shared, realistic understanding of it.
Ran a tailored applied-AI program — foundations, RAG and agents — with labs built around the company's own use cases.
Teams began scoping and prototyping AI features themselves, with a common vocabulary across product and engineering.
Capable backend engineers had never built LLM or RAG features and were over-reliant on a vendor.
Delivered a hands-on track on embeddings, vector databases, evaluation and integration into their stack.
The team built and owned an internal RAG assistant during the program, reducing external dependence.
Engineering teams, product teams, and technical leaders who need to adopt AI seriously. Programs are tailored from beginner (AI literacy for the whole org) to advanced (building agentic AI and RAG systems for senior engineers).
Yes. I tailor the curriculum to your tech stack, your domain, and the real problems your team is trying to solve — so people leave able to apply AI to your actual products, not generic toy examples.
Live and hands-on — on-site or remote — with build-along labs, real datasets where possible, and follow-up support. Format ranges from a focused one-day workshop to a multi-week structured program.
Your team moves from AI-curious to AI-capable: able to evaluate AI opportunities, build LLM and RAG features, measure quality, and ship responsibly — reducing dependence on outside vendors.
Yes. I run AI literacy and applied-AI sessions for product managers, leadership and operations teams so the whole organisation speaks the same language and spots opportunities.
Tell me about your team and goals, and I'll design a training program that fits.
Design a program