Compare support paths

Online AI classes · Human support layer

Study first. Get guided support.

ABCsteps is an online AI engineering school with a public 20-lesson syllabus. Read it first. If you want recorded walkthroughs, a study pack, WhatsApp doubt support, and final project review, Job-Ready adds that layer without hiding the lessons.

VS Code enroll hero iconGitHub Copilot enroll hero iconWhatsApp enroll hero icon
Public
₹0
Job-Ready
INR 4,999
Fit-check
WhatsApp

Optional support

Job-Ready Track

INR 4,999

No checkout wall: WhatsApp fit-check before payment.

The syllabus remains public even if you never enroll.

Job-Ready adds walkthroughs, study pack, doubt support, and project review.

Fit audit

Before choosing Job-Ready Track, compare the support surface.

The right support path is not the most expensive path. It is the smallest support layer that changes the work you can finish, review, and explain.

Read first: The public syllabus stays available without signup, email gate, checkout, or login.

Choose optional support only if it changes output: An optional support path must improve the learner artifact: repository, demo, roadmap, project review, or workshop output.

No outcome promise: The page may describe support and proof, but not placement, salary, hiring access, or hidden partnership claims.

Operating model

Job-Ready works only when public reading becomes project output.

This path is for learners who can self-pace, but want founder-led walkthroughs, a study pack, WhatsApp Q&A, and a final review around the same public lesson sequence.

No support path is sold as magic. The learner or institution brings context, ABCsteps provides the support surface, and the final standard is inspectable proof.

Input

What you bring

VS Code operating model icon

Bring the lesson you are studying, the repo or local project state, and the exact blocker or concept you want clarified.

Fit-check

What gets confirmed first

WhatsApp operating model icon

The WhatsApp fit-check confirms that self-paced support is enough before you pay for videos, pack, Q&A, and review.

Delivery

How support is delivered

Cloudflare operating model icon

Materials are delivered directly: rolling video access, downloadable pack, Q&A channel, and final project review without a portal dependency.

Proof

What should exist after

GitHub operating model icon

The outcome should be a repository, setup notes, demo path, AI boundary note, and written project review.

Stay lower if

Public learning is enough.

Do not pay if the public lessons, blog, glossary, and reading paths are enough for the current learning step.

Choose this if

Job-Ready Track changes the artifact.

Choose this path only when it improves the expected proof outcome: A GitHub repository, setup notes, demo path, AI feature boundary note, and final written project review.

Upgrade only if

Cohort is truly needed.

Move above Job-Ready Track only when the higher support surface changes the work more than this path can.

Before you message

Make the first WhatsApp message useful.

The fastest enrollment conversation is not a sales call. It is a fit-check with enough context to decide whether the public syllabus is enough, or whether Job-Ready Track will actually change your output.

This is still a static page: no form, no checkout, no account, no hidden learner database. Send the context directly on WhatsApp only when you are ready.

01 · Level

Current starting point

VS Code fit-check message icon

Share whether you are a school student, college student, working professional, founder, or complete beginner.

Send: my current level, what I already know, and where I feel stuck.

02 · Time

Weekly study runway

WhatsApp fit-check message icon

Support works better when the pace is honest. Send the number of hours you can actually give each week.

Send: my weekly time budget and whether I need self-paced or live accountability.

03 · Proof

Target artifact

GitHub fit-check message icon

Name the proof you want to create: repository, deployed app, AI feature, final project, or portfolio review.

Send: the project or proof artifact I want to build through ABCsteps.

04 · Boundary

What you expect from support

OpenAI fit-check message icon

Be clear if you want videos, study pack, doubt support, final review, or a later upgrade into cohort or mentorship.

Send: which support layer I think I need and why public reading alone may not be enough.

What optional support adds

INR 4,999 buys guided execution, not hidden content.

The Job-Ready Track does not hide the syllabus behind a login. It adds a human support layer around recorded walkthroughs, asynchronous checkpoints, WhatsApp doubt support, and final project review.

Logos are tool-context references only: no affiliation, endorsement, interview access, hiring promise, salary promise, or placement guarantee.

Recorded

Walkthroughs beside the workspace

VS Code iconGitHub Copilot iconJavaScript icon

Recorded lessons should help you inspect the actual editor, AI pair, and browser code instead of passively watching theory.

Async

Founder checkpoints on shipped work

GitHub iconGit iconCloudflare icon

WhatsApp support and final review focus on commits, demo links, deployment issues, and the practical mistakes learners hit while building.

Doubt support

WhatsApp questions with context

OpenAI iconNode.js iconJSON icon

Better questions name the lesson, the command, the error, and the payload shape. Support stays tied to the work, not vague motivation.

Review

Final project readiness

GitHub iconDocker iconCloudflare icon

The final review looks for an inspectable repository, repeatable runtime, reachable demo, and a clear explanation of what was built.

Public lessons

₹0

Read the complete lesson path before enrolling.

All the learning content is publicly readable on this site. No signup. No email. No paywall.

  • All 20 written lessons (publicly readable)
  • 33 deep blog articles
  • Engineering glossary
  • Curated reading paths from articles to lessons
  • No signup, no email gate, no paywall
Open the public syllabus

Job-Ready Track adds (INR 4,999)

Founder-led video walkthroughs of every lesson (rolling out)

Downloadable study pack — PDF syllabus, lesson workbook, command sheets, project rubric

Direct WhatsApp Q&A with Divyanshu when you are stuck

Final project review with written feedback and next-step direction

Durable access to delivered videos and updates through the current direct-delivery channel

What the fee changes

INR 4,999 converts public reading into reviewed proof of work.

The written syllabus stays public. The optional support layer adds founder-led walkthroughs, support, and review so the learner leaves with artifacts another engineer can inspect: repo, runtime, demo, AI feature, and project explanation.

Company and platform logos are ecosystem references only. They do not imply partnership, endorsement, interview access, hiring preference, salary outcome, or placement guarantee.

01 · Workspace

Editor proof, not passive video

VS Code proof deliverable iconGitHub Copilot proof deliverable iconMicrosoft proof deliverable icon

Recorded walkthroughs are tied to the actual workspace so the learner sees file changes, AI suggestions, and verification steps in context.

Proof artifact: A before/after diff and a short note explaining what changed and why it is safe.

02 · Repository

Portfolio proof that can be inspected

GitHub proof deliverable iconGit proof deliverable iconGoogle proof deliverable icon

Founder support pushes learners toward public, reviewable work instead of private screenshots or certificate-only claims.

Proof artifact: A GitHub repository with meaningful commits, setup steps, and a README another engineer can follow.

03 · Runtime

Deployment proof beyond localhost

Docker proof deliverable iconCloudflare proof deliverable iconAWS proof deliverable icon

Project review checks whether the app starts repeatably and whether the demo boundary is explained honestly.

Proof artifact: A Dockerized or static build path with Cloudflare demo proof and clear runtime assumptions.

04 · AI feature

AI proof with boundaries

OpenAI proof deliverable iconGoogle Cloud proof deliverable iconJSON proof deliverable icon

The optional support layer reviews whether model use is structured, explainable, and bounded by human verification instead of being a prompt screenshot.

Proof artifact: An AI feature note covering prompt, JSON shape, error path, provider boundary, and human review.

After the curriculum

Career paths, internships, and the road forward.

ABCsteps does not promise placement. What we do is help you understand the realistic paths after the curriculum — full-time roles, internships, freelance, entrepreneurship — and how to position the proof-of-work you build through the lessons.

Read about career paths after the course

Honest disclaimers

  • Scheduled live group calls (those are in the Cohort support path)
  • Private 1:1 mentorship sessions (those are in the Mentorship support path)
  • Placement, salary, or hiring guarantees — the course teaches skill and ships proof of work

What enrolled learners receive

A durable learner pack, delivered without a portal.

Enrolled learners receive static materials directly: PDF syllabus, lesson workbook, command cheat sheets, project checklist, and final submission rubric. The public site stays simple, while paid delivery focuses on material a learner can keep, revisit, and use offline.

PDF syllabus

A clean course map with modules, objectives, tools, and expected outcomes.

Lesson workbook

Per-lesson tasks, reflection prompts, and submission checkpoints.

Command sheets

Terminal, Git, Docker, API, and deployment commands learners can keep nearby.

Project rubric

A clear checklist for final project review, portfolio readiness, and next-path planning.

Direct founder fit-check

Message or call Divyanshu when support would change the work.

This keeps the first learner journey personal: a short WhatsApp conversation matches the learner to the right path, then the study pack is delivered directly. The public syllabus stays the proof surface; enrollment stays human.