Course Portal
AI Engineering

From Developer to AI Engineer

One complete AI engineering roadmap to design, build, and ship production AI systems—LLMs, RAG, agents, and ops—so you stop piecing together random tutorials.

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Hovo Dallakyan, Lead Software Engineer · 10+ years shipping software

Instructor

Hovo Dallakyan

Lead Software Engineer · 10+ years shipping software

Lead Software Engineer with 10+ years building and shipping production systems. Day-to-day work with engineering teams, from architecture through delivery.

Worked with companies across the UAE, Europe, and Asia, shipping software in different markets, team cultures, and production environments.

Founder of BigTech.CV, an AI-powered hiring platform with real infrastructure: CV parsing, candidate matching, and recruiter workflows, not a demo notebook.

Certified technical interviewer. Mentors and interviews engineers for real roles, with a clear view of what production AI skills look like in hiring.

6+ years teaching experience. Designer and instructor of video courses and bootcamps for a personal school and for enterprise companies, teaching working developers practical engineering skills.

Most AI courses stop at demos. This is the full path from the code you already write to AI systems you can ship and run in production.

Experience
10+ years
Teaching
6+ years
Community
7,200+ followers
Format
Video · Text · Diagrams

The problem

Why developers get stuck learning AI

You can already code. The bottleneck is everything after that: a flood of content with no path to production.

  • Disconnected tutorials

    Each lesson covers a tool. None of them connect into a system you can actually ship.

  • Too many frameworks

    The stack shifts every quarter. Without a foundation, you restart more than you progress.

  • No structured roadmap

    You are left guessing what to learn next, and what actually matters at work.

  • Demos that never become products

    Notebooks and happy-path examples collapse when you need evaluation, reliability, or cost control.

  • AI moves too fast alone

    Chasing every release is a full-time job. You need durable engineering skills, not another hype cycle.

The roadmap

One path. Built for engineers who ship.

Free content teaches tools in isolation. You end up with demos, not systems you can run at work.

This is a single ordered path from the code you write today to AI systems you can deploy, monitor, and own in production. Video, written lessons, and diagrams for theory, then real-life projects you ship, not a single toy demo.

What you’ll learn

  1. 01

    Python

    Only what you need as a second language, so you move fast in the AI ecosystem

  2. 02

    LLM APIs

    Use OpenAI, Anthropic, and Gemini correctly: streaming, tools, and cost under control

  3. 03

    RAG

    Ground answers in your own data with retrieval pipelines you can evaluate and trust

  4. 04

    Agents

    Go beyond single prompts: tools, memory, and control flow for real work

  5. 05

    LangGraph

    Build reliable multi-step AI workflows that are easier to debug and deploy

  6. 06

    MCP

    Connect models to real tools and services with a portable, modern interface

  7. 07

    Projects

    Multiple end-to-end builds throughout the path, each one production-shaped, not a notebook exercise

  8. 08

    Production

    Goal

    Deploy, monitor, secure, and control cost so your system survives real users

Join free. Here’s what you lock in.

  • Early accessIn before public enrollment opens
  • Launch priceReserved for waitlist members only
  • First to knowCurriculum and dates before everyone else
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Course format

Video, text, diagrams, projects.

Learn theory clearly, then apply it on real systems. Each module stacks media and practice so concepts stick and you leave with work you can show.

  • Video

    Walkthroughs that show how production AI is designed and built, not just slides.

  • Text

    Written lessons you can skim, search, and revisit when you need the details.

  • Diagrams & theory

    Architecture and mental models made visual, so you understand the why before the code.

  • Real-life projects

    End-to-end builds shaped like real work: systems you can ship, demo, and put on a resume.

Who this is for

Built for working developers. Be honest about the fit.

For you if

  • You already write code

    Any language. Junior through senior. You don’t need to start from zero.

  • You want production AI skills

    The systems employers hire for: retrieval, agents, evaluation, and ops.

  • You’re done with tutorial hell

    Tired of content that stops at “it works on my machine.”

  • You want one clear path

    Not a second job curating random videos and half-finished repos.

Not for you if

  • Never written code. Learn programming first, then come back.
  • Research or pure ML theory. This is shipping software, not papers.
  • Heavy math / PhD track. We build and deploy systems, not prove theorems.

FAQ

Common questions from engineers before they join.

No. If you already code in another language, you’re fine. Python is taught only as a second language for developers, not from zero.

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  • Launch price reserved for waitlist only
  • Full roadmap and schedule when doors open
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