Live cohorts on Maven when you want a group and a deadline, or self-paced courses you buy once and keep. All designed by a Principal Engineer with 16+ years of shipping.
Prefer live teaching? See the live cohorts and free sessions on Maven ↓
Cohorts taught live on Zoom, with sessions, projects and feedback, plus free live sessions you can join before you commit.
For directors, heads of function and founders: eight live evening sessions with Ehsan Gazar and Anoosh Zeighami, ending with a one-page 2027 AI plan for your organisation, built on a real workflow and ready for your leadership team.
Starts Wed, 4 Nov · 7:00pm London
$1,495, or $1,045 with code EARLYBIRD until 23 Oct.
A live Maven cohort for engineers: eight 90-minute sessions where you build LLM and agent systems that survive real traffic, real cost and real failure.
Cohort 2 is running now. Join the waitlist for the next cohort.
Go from shaky in design reviews to the engineer everyone trusts to architect the hard stuff.
Join the waitlist for the next cohort.
Wed, 21 Oct · 7:00pm London · 30 minutes · Free
Wed, 28 Oct · 7:00pm London · 30 minutes · Free
Buy once, learn on your own schedule. For live, cohort-based teaching, see the live cohorts on Maven.
The architecture judgment that gets you promoted, in the era that made implementation cheap. Trade-off axes, capacity models, data stores, service boundaries, distributed failure, and architecting around a component that
Your demo works. Production is a different system. Workflows versus agents, context that decays, cost and latency budgets, agent threat modelling, and evals that catch a silent regression before your users do. The self-p
Master Node.js and TypeScript for senior interviews. Algorithms, async patterns, OOD, take-home challenges, and live coding strategies from FAANG to startups.
Master system design from fundamentals to professional software architecture. A comprehensive course synthesized from Designing Data-Intensive Applications, System Design Interview, Fundamentals of Software Architecture,
Clean code as a staff engineer sees it: the naming, structure, error handling, and refactoring habits that hold up across teams, legacy systems, and code review. Drawn from The Art of Readable Code, Clean Architecture, C