We help companies upskill their teams to ship production AI — in weeks, not quarters. Custom programs built around your stack, your goals, and your team.
Trusted by teams at
Our approach
Most AI training is theory. Slides, recorded videos, toy exercises. People finish, feel temporarily smart, and ship nothing.
We do the opposite. Every program ends with people having shipped real work, with real users, on real systems, in real companies. That is the only thing that changes outcomes for a team.
Every learner ships something with users. No toy datasets, no canned notebooks — features that go into production.
Enterprise programs use your actual tools, codebases, and workflows. No generic curriculum.
Productivity lift and projects-shipped count for teams. We publish the numbers.
Instructors
Manu
AkiAki and Manu have spent the last decade building AI products and teaching them. Aki is an AI/ML lead with a PhD in Machine Learning, ex-Google AI Accelerator mentor. Manu is the co-founder and CEO of Krybe (AI voice agents) and previously exited Rise AI to a private investor.
Between them they have taught 10K+ professionals and shipped production AI systems at scale.
Manu Jayawardana — Co-founder, CEO of Krybe (New York / London)
Aki Wijesundara, PhD — Co-founder, Lead Instructor (San Francisco / London)
Outcomes
This course completely changed how I approach product launches. Manu built a genuinely practical, no-fluff GTM playbook that covers everything from ICP definition and positioning to launch sequencing and cross-functional alignment, all with AI-assisted execution. In just 2 live sessions, I walked away with a reusable GTM Playbook, launch templates, a strategy canvas, and the AI prompts to run future launches faster. What I loved most is that the skills are immediately applicable — I used what I learned before the course even ended.
Irena Palamani Xhurxhi Ph.D.
Director of People Science @ Walmart
Aki gave me the opportunity to learn exactly what I wanted, on my own terms. The course was structured around real projects, which meant I was building the actual skills I came for, not just watching and hoping something stuck. The teacher/student dynamic was genuinely collaborative; Aki met me where I was and pushed me toward where I wanted to go. I walked away with hands-on experience, sharper abilities, and the confidence that comes from having actually done the work. If you want a course where your goals shape the learning, this is it.
Dan Abelow
Innovation Expert
Proven use cases
Every engagement closes with a production-grade artefact. These are the ones we point to most.
MPB
MPB's product and ops team built a working eval framework for their AI-powered listing tools — measuring model quality and shipping continuous improvement loops.
WireApps
WireApps engineers moved from ad-hoc AI experimentation to a consistent, production-ready approach — shipping Claude-powered features with shared vocabulary and agreed tooling.
Type B Digital
Type B's engineers, designers, and advisors adopted the modern AI stack together — leaving with shared workflows, automation patterns, and the confidence to keep building.
Pricing
Outcomes-focused AI training programs for engineering, product, and GTM teams.
Custom programs for teams
We will help you work out the right program for your team and goals — no commitment required.
Or email us at hello@theaiinternship.com