Ehsan Gazar

Ehsan Gazar

983 Subscribers

Staff Software Engineer who builds production AI systems. 20,000+ students.

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Ehsan Gazar will make you the architect in the room

I'm a Staff Software Engineer with 16 years building and scaling production systems across fintech, SaaS and enterprise software. Today most of that work is AI: I design and ship LLM and agent systems that have to survive real traffic, real costs and real incidents.

I've run 500+ mentorship sessions with senior engineers at a 5.0 rating and taught 20,000+ students. My Production-Ready Systems with LLMs and Agents course is rated 5.0 by its students.

I'm not an academic. Every framework I teach comes from real decisions, or from mistakes I had to recover from. I'll teach you to think in trade-offs: not “what's the right answer,” but “what survives contact with reality.”

Previously at
MECCA

Alumni reviews

Hafeez

Live cohort
Frontend Developer · Origin Energy

Production-Ready Systems with LLMs and Agents: An Intensive for Engineers

Thanks for running through the cohort. This was worth the time and fee

MBK

Live cohort
Full-stack developer · Self employed

Production-Ready Systems with LLMs and Agents: An Intensive for Engineers

I enjoyed this course and I like the course topic and teacher teaching. He's teaching the every lesson in simple and complete terms. The course lessons is very useful in my job. I use it for develop agent in our company.

Aref

Live cohort
Software Engineer · Mana

Production-Ready Systems with LLMs and Agents: An Intensive for Engineers

This is the second course I have completed with Ehsan, and it was just as insightful as the previous one. He is an exceptional instructor who carefully selects relevant topics, paces the class effectively, and ensures every student grasps the concepts.

Zara

Live cohort
Product Designer · Altrata

Production-Ready Systems with LLMs and Agents: An Intensive for Engineers

Just wrapped up Gaz’s cohort, and it is genuinely useful if you are stuck trying to move an AI project past the local demo stage. Most tutorials completely ignore real-world friction, but this one focuses entirely on the messy stuff like keeping token costs down, fixing unpredictable agent loops, and setting up proper evals. You end up building concrete artifacts, such as runbooks and eval plans, that you can drop straight into your team's workflow. It is definitely worth your time if you are trying to ship AI features that will not break under actual user traffic.

Kiarash

Live cohort
software engineer · Arvan

From Senior to Staff: Master the Architecture Skills That Get You Promoted

The combination of live sessions, practical exercises, and real-world examples made the material directly applicable to design reviews, interviews, and day-to-day engineering work. I especially appreciated how the course connected technical architecture skills with the communication and decision-making expected at Staff level. I would highly recommend this course to senior engineers who want to strengthen their system design skills, lead architecture discussions more effectively, and prepare for the next stage of their careers.