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
What we deliver
Send us your team’s actual workflows. We’ll train them on the right AI tools — and build the workflows with them.
Every team gets a custom curriculum built around what they actually do — not generic slides. We map your workflows to the tools that cut them in half.
Or choose a track below and we’ll custom-design a training program around it.
Claude Code, Cursor, RAG, agents, evals. Every engineer ships a production feature.
Design prototypes, spec AI features, run evals, and take ideas to production — PMs who ship with confidence.
AI-assisted research, outreach, and qualification. Revenue teams that move faster.
Pipelines, evals, and production ML. Data teams building systems that stay up.
Who's in front of your team
Every cohort is led by someone who ships AI in production today.
Manu Jayawardana
Co-founder · CEO of Krybe
Co-founder & CEO of Krybe (AI voice agents). Previously exited Rise AI. Runs custom programs for product and GTM teams, with a focus on practical agent workflows.
Aki Wijesundara, PhD
Co-founder · Lead Instructor
AI/ML lead with a PhD in Machine Learning. Ex-Google AI Accelerator mentor. Has led enterprise deliveries for engineering teams at financial services and consulting firms.
Plus a bench of 12 senior practitioners across engineering, product, data, and AI safety. Meet the full team →
Outcomes
Manu built a genuinely practical, no-fluff GTM playbook — ICP definition, positioning, 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, and the AI prompts to run future launches faster.
Irena Palamani Xhurxhi Ph.D.
Director of People Science, Walmart
Asynchronous training helps catching up and watching the parts more relevant to your job.
Alexandros Fragkos
Senior Marketing Analytics & Strategy Manager, Gemini - EMEA Marketing
In only 4 weeks we went from LLM basics to building our own production grade app with multi-agent workflows and RAG with vector search. We learned how thoroughly evaluate the accuracy of the app and systematically improve it using Langfuse. It was a mind-opening journey.
Anette
Product Manager, Apple
The class was well structured and covered a broad range of knowledge.
Lei Wang
Sr. Software Engineer, Stanford University
I appreciate how the instructor was adaptive to our asks and the follow-up materials he provided. It was great to have engaging fellow students in the cohort. I wish the tech demos (that the instructor was showing us) were working during the classes, and there would be a more robust methodology walkthrough and showcase when the demo was not working.
Christie Lau
Senior Design Consultant, Capco
This class was great! As an engineering leader, engineer, and technical trainer I found that the content provided both breadth and depth. The delivery style was accessible and made learning (even, and maybe especially, when things didn’t work) encouraging and fun! Thank you, Aki and Team.
Joysorlyn Dixon
Engineering Leadership Advisor and Mindset Coach, Mosaic Presence
The 4-week AI Engineering bootcamp led by Aki and Manu was an excellent, hands-on learning experience. It provided a clear and practical understanding of core concepts like LLM APIs, RAG pipelines, and multi-agent systems, while also emphasizing evaluation and real-world deployment.
Dulip Tharaka Madurasinghe, PhD
Software Engineer
Case studies
AI for product teams
A cross-functional cohort across product, ops, and merchandising teams shipped internal AI Evals and tools that compressed listing, pricing, and content workflows from days to hours.
read full case study →
AI for engineering teams
Engineers and Product operators ran the cohort together. Output: an internal AI playbook, agentic prototypes for Engineering, and a unified prompt library — all reused on every customer engagement since.
read full case study →
AI tooling for teams
A leadership-led cohort embedded AI literacy across delivery teams. Capstones became live client-facing automations — turning training spend into directly billable capability.
read full case study →FAQ
Yes. Anything your engineers build during the capstone — code, RAG implementations, internal tools — is your IP. We retain rights to the underlying curriculum frameworks and any generic teaching material we bring in. We've signed standard enterprise IP terms with finance, consulting and big-tech clients.
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