University-style freedom: elect the modules you need, clear real prerequisites, and stack eval-gated credentials — never a forced linear course.

A 1-month core proves the loop; the 6-month track goes deep; Fridays groom the professional. Chuun places you — every tier after that is earned.
Foundation
AvailableMorning testing sprints on real apps, afternoon learning blocks, daily quizzes — four weeks that prove the daily loop on real work.
Extended
AvailableMonday to Thursday, deep technical days across cloud, backend, data, DevOps, security and system design. Saturdays are the Week Review ritual.
Professional
AvailableEvery Friday, woven through all six months — communication, presentations, ownership, spoken skills and career readiness.
University-style electives — AI engineering and the deep-dive specializations, with real prerequisites, credits and eval-gated credentials.
Browse the modules90 free playgrounds that make hidden machinery visible — the same instruments the cohort trains on, no account needed.
Open the playgroundsYour first session on miatz — sign in, set up your profile, learn the app shell, and know exactly where to get help.
The rhythm that compounds — read your plan on the dashboard, clear Daily Review, and finish a practice rep every day.
The long arc of the program — the journey map, your growth plan, the Skill Wheel, and how Advance promotes you a level.
How exams gate progress, and how the credential you earn is issued, shared and verified.
Working with Xook — the tutor and the personal improvement engine — and learning by doing in AI Labs.
What a mentor owns on miatz, and the console you do it from.
Working the review queue, writing notes learners can act on, and staying calibrated with other mentors.
The strict completion gate that paces the curriculum, and the day grant that lets a mentor override it deliberately.
Reading a cohort's pulse — streaks, momentum and live signals — and turning a signal into a timely intervention.
A principal-architect deep dive into designing systems that scale, stay consistent, survive failure, and keep evolving — from quality attributes and tradeoff thinking to distributed systems, resilience, and architectural decision-making.
A staff-level deep dive into the backend: API contracts, data modeling and query performance, caching, async and event-driven flows, reliability, security, observability, and the economics of scaling.
A staff-level tour of the data and ML engineering stack — warehouse modeling, batch and streaming pipelines, data quality, feature stores, training and evaluation, deployment, drift monitoring, and production RAG — taught through mechanisms, real tools, and the dollar-and-latency consequence of getting each one wrong.
A staff-level deep dive into the actual job of an engineering manager — from the IC-to-manager transition through 1:1s, feedback, hiring, delivery, technical strategy, culture, and managing up and across. Every lesson is a concrete situation with a framework you can use on Monday.
A staff-level deep dive into shipping frontend that survives production: rendering models, component and state architecture, Core Web Vitals, accessibility, design systems, data fetching, testing, and deploy/DX — each taught as a mechanism with its cost, failure mode, and guardrail.
Standing up your org — people, roles, teams, invites, domain claims and identity plumbing.
What each module does, how allowances flow from platform to org to cohort to learner, and how to package the right set.
Connect your corpus, watch what gets mined, and use the Docs Score to decide what to fix first.
From mined knowledge to a curriculum your SMEs have actually approved.
Blueprints, the item bank, Angoff cut scores and Miatz Kanan proctoring review.
Templates, issuance and lifecycle for Itz'at credentials, and what each assurance level actually asserts.
Rules that watch for drift, a readiness board that answers who is ready, and delivery into the tools your org already uses.
A staff-level tour of how systems get broken and how they get defended — threat modeling, the OWASP vulnerability classes, identity, applied cryptography, cloud and supply-chain security, detection and response, and a secure SDLC that turns controls into tests.
A senior practitioner's playbook for the presales SE: how to partner with an AE, run discovery, demo, and prove value, then survive procurement and land a clean handoff. Built from real enterprise deals, with the arithmetic that decides them.
A staff-level deep dive into running reliable systems at scale: SLOs and error budgets, incident response, observability, CI/CD and progressive delivery, infrastructure as code, Kubernetes operations, resilience engineering, and the platform practices that make the reliable path the default path.
A senior-level deep dive into running support as engineering: systematic troubleshooting, incident and outage communication, deflection economics, metrics that resist gaming, and turning recurring tickets into permanent fixes, tools, and proactive prevention.
A senior-level deep dive into running cross-org technical programs to delivery: role clarity and influence, decomposition and phased roadmaps, dependency and risk management, technical fluency, executive communication, launch and cutover execution, and program-health measurement.
Every module ends in an eval-gated assessment; every credential is a pass, not a participation record.