pronative.ai is an AI-Native Engineering Foundry.
We transform developers into AI-Native Fullstack engineers who orchestrate intelligent systems and autonomous agents.
For corporate customers we deliver that transformation as a customized engagement:
your teams, your stack, your goals, measured before and after.
The era of the generalist fullstack developer is over.
We forge teams that build and lead AI systems — on the same enterprise stack they will ship on.
These are the advantages a corporate program is built on.
GitHub-native workflows on Azure with GitHub Copilot Business and production-grade tooling — the real toolchain of a modern engineering team, not sandboxes or free-tier keys.
Every session is delivered by a pronative.ai Certified Trainer who builds and ships AI-native systems in their own practice — mentorship, not slideware.
Frontier AI moves in days, not semesters. Curriculum tracks the frontier continuously, so your teams learn what is current — never a six-month-old syllabus.
Participants learn to build and lead squads of AI agents as a digital workforce — the core skill of the AI-Native shift, applied to your own workflows.
Certification-aligned to Microsoft's AI engineering standard, with digital badges verifiable on LinkedIn for participants and trainers alike.
We measure a current-state baseline and an achieved state, and report productivity, ROI and value — so the impact of the program is evidenced, not asserted.
Every engagement is designed to move measurable capability into your teams and standardize how they build with AI.
Teams adopt the Agentic Development Lifecycle — specifying, building, reviewing and shipping work with agents inside GitHub-native workflows.
A shared toolchain, vocabulary and set of guardrails across teams — so AI adoption is consistent and reviewable, not ad hoc.
Benchmarked before-and-after data on delivery velocity and output quality, tied back to the enterprise stack your teams actually use.
Participants build on real infrastructure and graduate ready to operate on day one — greenfield and brownfield, spec through deploy.
Observability, Responsible AI, Zero Trust and FinOps for AI are part of the curriculum — capability that ships responsibly.
Transcripts, projects, assessments, certificates and digital badges — plus ROI and value reports for leadership.
Every corporate program is assembled from two defined tracks.
Start with either, or run them in sequence — AI-Assisted is the natural on-ramp to AI-Native.
GitHub-native · Agentic coding, Agent-agnostic · Deployment-flexible
For teams evolving from SDLC to the Agentic Development Lifecycle. Hands-on Agentic coding and Agentic DevOps built on GitHub-native workflows and best practices.
Build AI systems · Multi-agent · Production operations
For teams building AI-native products — Generative AI applications, AI agents and multi-agent systems, plus the operations and governance to run them in production.
GitHub anchors both tracks; everything else is shaped around your teams during consulting.
We shape the curriculum, environments and schedule around your teams — then benchmark the before and after so the impact is evidenced.
Explore the corporate site and this brochure to understand the tracks and the model.
High-level clarifications, scope alignment and commercials.
Profile the landscape and audience to customize curriculum and delivery — environments, licenses, schedule and compliance.
Baseline your teams before training begins.
Live, practitioner-led sessions on the agreed enterprise stack.
Transcripts, projects, assessments, benchmarks and certificates.
Reports on productivity, ROI and value delivered.
Advance teams from AI-Assisted to AI-Native, cohort after cohort.