Anyone can say they ship production AI.
You’ll prove it.
Innorve Academy is where engineers learn to build production AI that’s governed by design — and leave with a Compact Proof Pack: a signed, hash-chained record of the system you shipped, scored on the AGRS governance posture, that any employer or examiner can re-verify offline in 60 seconds, trusting nobody — not even us. A certificate claims you can do the work. A Proof Pack proves you did.
The certificate is dead. The portfolio is fakeable.
01A certificate attests you attended— not that you can ship.
02So employers screen GitHub instead — but a repo is trivially faked, AI‑generated, and unscored.
03Governance certs prove you know the rules — not that your system obeyed them.
04And nobody can re‑verify any of it without trusting whoever issued it.
We close that gap with tamper‑evident, re‑verifiable proof of governed work. That’s the Proof Pack.
You don’t leave with a certificate. You leave with a Proof Pack.
Your capstone isn’t a quiz score or a PDF. It’s the production AI system you shipped, wrapped in a cryptographically signed, hash‑chained record — scored on the AGRS governance posture across six dimensions, and re‑verifiable by anyone, offline, trusting nobody.
“Trust me.”
- Trivially faked or AI‑generated
- No integrity — history can be rewritten
- No governance score
- The reviewer has to trust the candidate
“Verify me.”
- Signed (Ed25519) + hash‑chained — tamper‑evident
- RFC‑6962 Merkle inclusion against a trusted root
- AGRS 0–850, mapped to ISO 42001 / NIST AI RMF
- Re‑verified offline in 60s — trust nobody
The Innorve Method.
Eight teachable frameworks. Earned through years of real production work. Together, they are the discipline of the AI-Native Architect.
Skill Architecture Patterns
Decomposing any work into reusable, testable skills.
Policy-as-Code Methodology
Guardrails, permissions, and compliance as version-controlled code.
Evidence-by-Design Framework
Every decision produces an audit trail — by construction.
Skill Contract Schema
Typed interfaces between humans, agents, and tools.
Maturity Gate Model
L0–L5 readiness gates for every capability you ship.
Capability Graph Thinking
Organizations as capability graphs, not org charts.
Tenant-Aware Design
Multi-tenant, data-segregated systems that pass enterprise review.
Multi-Tool Strategy
Claude, LangGraph, MCP, Bedrock — chosen on fit, not fashion.
Six levels. One trajectory.
You don’t leave with a certificate. You leave with a Proof Pack and its AGRS posture — earned through evidence and re‑verifiable by anyone, trusting nobody. The six levels below describe that posture; they map to the AGRS score, not to a certificate we award.
Individuals. Organizations. Institutions.
One methodology. One community. Five paths in.
Launch tier
Undergrads, career switchers, self-taught builders working toward their first AI-native role.
Scale tier
Engineers, PMs, and analysts whose jobs are being rewritten by AI this year.
Assure tier
Tech leads at banks, insurers, and healthcare shipping AI that must pass audit.
Capability Workshop
Private cohorts for teams of 10–30 inside a single enterprise.
Partnership program
White-labeled curriculum for CS, design, and business programs.
6 weeks. 48 hours of live training. One production-grade AI system shipped — by you, from scratch, in your own GitHub.
AI Fluency & Context Engineering
Prompting as engineering, not art. Skill contracts. Context windows as architecture.
RAG & Retrieval Systems
Production retrieval patterns. Chunking, rerankers, and evaluation of grounded answers.
Agent Engineering
LangGraph, Claude Agent SDK, and MCP. State machines over vibes.
Evaluation, Observability & Trust
Eval-driven development. Audit trails. The week that separates hackathon demos from production AI.
Fine-tuning, MLOps & Production
When to fine-tune, when not to. Deployment, cost, latency, rollback.
Capstone + Proof Pack
Ship a production-grade system and emit a signed, re-verifiable Proof Pack + AGRS score. Public review on LinkedIn Live.
A guild of AI-Native Architects. Not a classroom.
You’ll join a pod of 8–12 peers who ship publicly every week. Pods persist forever. The credential is earned in public.
Illustrative of the weekly rhythm. We don’t show a live member feed until there are real members shipping in public.
8–12 members. For life.
Mixed tiers and timezones. Once you’re in a pod, you’re in forever — long after the cohort ends.
Every 4 weeks. Public.
Capstones reviewed live on LinkedIn. Partner CTOs and hiring managers in the room.
Annual. In-person.
Alumni, Fellows, and partner enterprises — one weekend a year, one city at a time.
What we will not do.
Priced for rigor. Not for volume.
- Full methodology training
- Pod of 8–12 peers, for life
- Public shipped system in your GitHub
- Capability graph credential
- Free community access forever
- Everything in Launch
- Scale-tier architecture modules
- 4 × 1:1 mentorship sessions
- Career acceleration coaching
- Priority access to Architect track
- Everything in Scale
- Full policy-as-code depth
- SOC 2, HIPAA, PCI, EU AI Act mappings
- Vertical modules: banking, healthcare, insurance
- Direct Sushanth 1:1 sessions
Direct answers to serious questions.
Build. Ship. Prove it.
Request an invite to the founding cohort, or bring your team a private Capability Workshop. You leave able to build governed AI — and with a Proof Pack anyone can verify.