Program

Enterprise AI Adoption.

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.

The program

A structured change program for product teams, focused on mindset shift and outcomes-driven adoption. The goal: predictable, measurable, production quality delivery.

Duration Twelve weeks, six modules
Cadence Bi-weekly touch points at an intense pace
Practice Assignments and homework between sessions
Outcome AI in the team's daily work, per domain

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.

Course content

Module 1
Alignment Joint

Teams map their product development lifecycle and identify friction, risks and AI opportunities.

Module 2
Context engineering & AI use cases

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.

Module 3
Compound engineering

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.

Module 4
Verification Joint

AI code verification, DevOps, quality feedback rules and guardrails. Working with AI in greenfield and brownfield settings.

Module 5
Review & AI agents

DevVerifying AI-generated code; code review agents.

Non-devDeveloping AI agents for PRD creation and populating tickets.

Module 6
Sub-agents & design systems

DevBuilding and orchestrating sub-agents.

Non-devEmbedding design systems in AI-generated code.

Both tracks close together in a consensus session.

Closing
Demo Joint

Live demos of each team's AI workflows, applied to their own product and processes.

Training team

Venkatesh Chandrasekar
Venkatesh
Chandrasekar
Strategic Director, Yodoley
Innovation Lead GenAI, TU Delft
David Schep
David
Schep
Tech Lead, Yodoley
AI/ML Engineer, Avy
John Crickett
John
Crickett
Founder & CTO,
Coding Challenges
Edmon Marine Clota
Edmon
Marine Clota
Senior AI & Full Stack Engineer,
Optimal AI
Petra Heck
Dr. Petra
Heck
Associate Professor Software
& AI Engineering, Fontys

Bring this program to your teams

A 30 minute call on your AI adoption maturity, blockers and vision, ending with a clear next step.

Book an intro call →