A certification program by Yodoley. Each certificate links to this page, which describes the program the certificate holder completed.
Yodoley helps companies align on AI strategy, adopt it across their teams, and accelerate product delivery through AI native software engineering.
A structured change program for product teams, focused on mindset shift and outcomes-driven adoption. The goal: predictable, measurable, production quality delivery.
Cohorts mix developers, product managers, product owners, designers, team leads and testers. The curriculum runs in two tracks, developer and non-developer, with joint sessions where both come together.
Teams map their product development lifecycle and identify friction, risks and AI opportunities.
DevHow the context window drives output quality: feeding AI the right information, MVP generation use cases.
Non-devDefining AI use cases as product manager, product owner, lead or designer; AI prototyping.
DevSetting up the codebase for AI: CLAUDE.md, MCPs, skills, feedback loops and workflows.
Non-devAI workflows and setting up Claude Code for non-engineering work.
AI code verification, DevOps, quality feedback rules and guardrails. Working with AI in greenfield and brownfield settings.
DevVerifying AI-generated code; code review agents.
Non-devDeveloping AI agents for PRD creation and populating tickets.
DevBuilding and orchestrating sub-agents.
Non-devEmbedding design systems in AI-generated code.
Both tracks close together in a consensus session.
Live demos of each team's AI workflows, applied to their own product and processes.





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