Engineering is simple.
As simple as A, B, C.
An open AI engineering curriculum, free to read end-to-end. Twenty lessons, thirty deep articles, real projects — built by Divyanshu Singh Chouhan as an alternative to formal B.Tech in AI / Data Science.
- Lessons
- 20
- Modules
- 4
- Notes
- 40
Lesson preview
Zero to deployed AI app
The transformation arc
Four modules. One continuous shape.
Each module produces a working artefact and a verified milestone. The course is designed so each step makes the next one obvious.
- A
- B
- C
- D
The actual stack
Tools you will use, not just hear about.
These are the technologies the course works with directly. No marketing logos. If a tool is on this wall, you will configure it, run it, and ship something with it.
Antigravity
AI IDE
Gemini
Model API
TypeScript
Type Safety
Node.js
Runtime
Docker
Containers
SQLite
Local Storage
Git
Version Control
Cloudflare
Edge & Tunnel
Learning shape
Read, build, review, then ask sharper questions.
Every lesson is written first. Videos can support a written lesson, but the core understanding has to survive on the page. This is what makes the curriculum verifiable and reviewable.
01·Read
Written lessons are the primary product
Every course page should explain the module clearly enough that a learner understands the value before enquiring.
02·Build
Each lesson produces an artefact
Code, configuration, terminal output, repository — something verifiable that did not exist before the lesson.
03·Review
Recall locks understanding
After every lesson there is a short review note the learner uses to write back what was learned.
04·Scale
Downloads before dashboards
PDFs, workbooks, command sheets, and rubrics serve enrolled learners before a portal or login system is worth building.
From the engineering blog
Free deep-dives, written for engineers.
The blog is the public surface of the curriculum. Each article is a deep model that pairs with a specific lesson — read the article, then apply it hands-on.
Deployment Day Checklist — What Senior Engineers Verify Before Shipping
The first time you ship something to production, you discover that 'the code works' is necessary but not sufficient. The deploy fails because an environment ...
8 min read
Vue.js vs React — The Engineering Decision in 2026
If you are picking a frontend framework in 2026, the realistic options for most projects come down to two: React and Vue. Each one has a substantial ecosyste...
8 min read
SEO for Engineers — Beyond Meta Tags
Most articles about SEO are bad. They optimize for the algorithm of an SEO industry — keyword stuffing, link exchanges, 'ten meta tags Google loves' — that h...
9 min read
The model
Free curriculum. Optional Job-Ready Track.
Every lesson, every blog article, the glossary, and the reading paths are free to read on this site — no signup, no email gate, no paywall. The Job-Ready Track is the optional paid bundle for learners who want video walkthroughs, the downloadable study pack, direct WhatsApp Q&A with Divyanshu, and a final project review.
- Free: 20 written lessons, 30+ blog articles, glossary, reading paths
- Job-Ready Track adds: founder-led video walkthroughs (rolling out)
- Job-Ready Track adds: downloadable study pack, command sheets, project rubric
- Job-Ready Track adds: direct WhatsApp Q&A with Divyanshu and final project review
Job-Ready Track
OptionalABCsteps AI Engineering Course
INR 4,999
Video walkthroughs · Study pack · Founder support · Project review
Founder-coordinated · WhatsApp +91 96100 01234
See all 5 tiers (Cohort · Mentorship · Architecture Review · Workshops)Five paid paths
Pick what you actually need, not what looks fanciest.
Self-paced course, live cohort, 1:1 mentorship, single-session architecture review, institutional workshops. Every tier uses direct WhatsApp enrollment with founder coordination on the right fit.
Job-Ready Track
INR 4,999
20 written lessons + study pack — at your own pace
Open
Cohort
INR 14,999
per cohort batch
4 weekly group calls + project review
Open
Mentorship
INR 49,999
per mentee · 8-week engagement
4 private 1:1 sessions over 8 weeks
Open
Architecture Review
INR 24,999
per session
One 2-hour deep session + roadmap doc
Open
Workshop
INR 2L–5L
per engagement, scope-dependent
2-day intensive for institutions and teams
Open
Academic outcomes
What a learner should be able to prove after the course.
Outcome 01
Build a working app
Use AI assistance without losing understanding of files, code, and verification.
Outcome 02
Publish and explain work
Use GitHub, documentation, and written notes to show what was built and why.
Outcome 03
Deploy with cloud basics
Understand containers, tunnels, APIs, and deployment checks at a practical level.
Outcome 04
Add AI responsibly
Treat AI as an API-backed product feature with costs, errors, and limits.
Begin the path
The course is one message away.
The curriculum is free to read end-to-end. If you want the videos, study pack, founder support, and project review, the Job-Ready Track is one WhatsApp message away.
WhatsApp +91 96100 01234 · INR 4,999 · Founder-coordinated enrollment