Live, hands-on sessions for PMs, founders, and engineers. Limited seats — reserve your spot now.
Trusted by teams at
Wiring an API call gets you a demo. Shipping something that survives real users is the job companies are actually hiring for.
Probabilistic products break the normal PM playbook. Learn the product calls AI-native PMs own instead of routing to engineering.
A free 1-hour community session with Aki, Sai Kumar, and Karun. Master how the top data scientists and leaders are using Claude to accelerate analysis, automate workflows, and make better decisions faster.
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). 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
Engineers weren’t learning abstract concepts — they were improving the real systems they ship to clients every day. The team came away with a unified approach to AI development, production-ready Claude integrations, and a reusable internal AI playbook. Review cycles shortened and feature delivery accelerated.
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.
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