aicoding.amAI Coding Studio
Back to home

AI ENGINEERING LESSONS

Practical AI lessons are being prepared.

Video lessons, transcripts and step-by-step breakdowns on AI automation, RAG, agents and vibe coding.

The section will grow from recorded lessons, not repackaged blog posts.

Built for founders, product teams and developers who need practical AI decisions.
Lessons by Sevada Yenokyan and aicoding.am

This page is reserved for a dedicated learning format. Blog articles stay in the blog; lessons will be published here when there is a clear video or step-by-step teaching asset behind them.

Format

Video lesson + transcript + practical steps

Each lesson should be useful without hype: what the problem is, how the system is built, where AI helps, what can fail, and how to verify the result.
Planned track

AI automation for business workflows

How to map a messy process into LLM steps, approvals, n8n flows, CRM actions and human review.
Planned track

RAG systems and AI knowledge bases

How retrieval, source documents, citations and evaluation turn company knowledge into usable AI answers.
Planned track

AI-assisted product development and vibe coding

How fast AI coding becomes a disciplined workflow with scope, review, tests, browser QA and deployment.
Planned track

AI agents, tools and control loops

How to design AI agents that can use tools without losing traceability, review points or operational control.