AI TRAINING
AI for Founders: Zero to One
Go from AI idea to fundable product with validated GTM and a compelling investor narrative.
What it covers
An 8-week cohort programme designed for startup founders building AI-native or AI-augmented products. Participants move through idea validation, rapid MVP construction using modern AI tooling, go-to-market pattern selection, and funding narrative craft. Each week combines live group sessions, peer accountability, and hands-on build sprints — with real product feedback embedded throughout. By the end, founders have a working prototype, a validated beachhead market, and a pitch-ready AI narrative.
What you'll be able to do
- Apply a structured validation framework to stress-test an AI product idea against real market demand
- Ship a working AI-powered MVP using LLM APIs, prompt engineering, and accessible tooling within the programme duration
- Select and articulate an AI-specific GTM motion (PLG, sales-led, API-first) matched to your customer segment
- Identify and defend a credible AI moat — data advantage, feedback loops, or proprietary workflow — to sceptical investors
- Deliver a pitch deck section that accurately and compellingly explains your AI architecture and business model to non-technical VCs
Topics covered
- AI opportunity mapping and idea validation frameworks
- Building MVPs with LLMs, APIs, and no-code/low-code AI tooling
- Evaluating build vs. buy vs. fine-tune decisions
- Pricing models and GTM patterns specific to AI products
- AI-specific moat identification (data, feedback loops, network effects)
- Managing AI risk, hallucination, and compliance in early products
- Crafting a fundable AI narrative for seed and Series A
- Metrics and KPIs that matter to AI-focused investors
Delivery
Delivered as a live online cohort with weekly 3-hour group sessions (Zoom/Meet), async Slack community, and optional in-person boot days in major European hubs. Approximately 60% hands-on build work and 40% frameworks and discussion. Founders receive access to a shared AI tooling sandbox (OpenAI, Anthropic, Mistral credits), curated pitch feedback sessions with VC guest speakers, and a final demo day. All session recordings available for 6 months post-programme.
What makes it work
- Founders who enter with a specific problem domain (not just 'AI') move faster and get sharper feedback from cohort peers
- Weekly public accountability check-ins on a defined build metric dramatically increase shipping rate by week 8
- Direct access to real potential customers during the programme — not just classmates — separates validated ideas from hypotheses
- Engaging with at least one AI-focused VC or angel during the programme dramatically sharpens the funding narrative
Common mistakes
- Wrapping a thin GPT prompt around a basic workflow and calling it an AI product without demonstrable defensibility
- Skipping customer discovery and building features driven by what the model can do rather than what users need
- Underestimating inference and hosting costs when modelling unit economics at scale
- Pitching AI complexity to investors rather than the business outcome and market size it unlocks
When NOT to take this
This programme is not the right fit for founders who already have a Series A-stage product in production and need deep MLOps, model fine-tuning, or enterprise compliance — they need a more technical advanced track, not a zero-to-one cohort.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.