Architect LLM and agent systems that survive production: cost, failure, evals, observability.

July 2026

Full-stack developer

Mohamad baqer Kohie

Engineers and engineering leaders who build, deploy, and scale software systems.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Master the decisions that take AI agents from demo to production, and 
  become the engineer your team trusts with anything LLM.

Staff Engineer | AI & System Design

Ehsan Gazar

Staff Software Engineer, 500+ mentees

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

Staff Software Engineer, AI Systems

MECCA

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

<h3>Why I enrolled</h3>

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<h3>What I’ll apply</h3>
<p class="p2-tall">I want to develop a complex agent with multiple mcp for my business to do daily tasks very fast and cheap.</p>
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Certificate

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