Compare support paths
Choose the support layer. Do not overbuy.
Start with the public syllabus. Add the smallest support layer that changes the outcome: self-paced guidance, live accountability, private review, architecture guidance, or institutional delivery.
VS Code
WhatsApp
GitHub- Public floor
- ₹0
- Support ladder
- From INR 4,999
- Enrollment
Founder recommendation
Most learners should choose the smallest useful support layer.
Read enough before paying.: The public proof layer exists so trust is earned before a support conversation.
Choose the smallest useful layer.: Move up only when support, live accountability, or private review changes the work.
Keep proof as the final standard.: The right support path should leave a repository, demo, review note, roadmap, or workshop artifact.
Decision proof
Choose by the support you need, not by the biggest price.
Each support path wraps the same public proof layer with a different support surface. The right path is the one that helps you produce inspectable work without over-buying.
Tool and platform logos are context references only: no affiliation, endorsement, interview access, hiring promise, salary promise, or placement guarantee.
Self-paced proof
You can study alone if you keep shipping.
Job-Ready fits when you can turn written lessons into editor work, commits, and small demos without a fixed live schedule.
Open Job-Ready TrackCohort proof
You need checkpoints if you abandon courses.
Cohort support adds live group pressure around commits, demos, and deployment issues so the work leaves the browser tab and becomes visible.
Open CohortPrivate proof
You need senior attention when stakes are real.
Mentorship and architecture review fit learners or engineers bringing a real product, stack decision, cloud question, or career transition.
Open MentorshipInstitutional proof
Teams need a shared engineering language.
Workshops translate AI product vocabulary into a common operating language for classrooms, departments, and engineering teams.
Open WorkshopCurrent status
The first proof goal is one right-fit learner or institution served well.
ABCsteps is not pretending to have thousands of paid graduates. The public proof layer demonstrates the teaching style; the support paths exist to convert that reading into founder-supported work.
What is real now
The 20-lesson syllabus, engineering articles, glossary, reading paths, and direct founder contact are live on the static site.
What is founder-delivered
Study packs, WhatsApp doubt support, project reviews, cohorts, mentorship, and workshops are coordinated manually before any learner pays.
What is not claimed
No placement guarantee, salary promise, hiring access, fake graduate count, automated LMS, or hidden partnership claim.
Job-Ready Track
Founding priceABCsteps AI Engineering Course · Job-Ready Track
Public syllabus + optional bundle: video walkthroughs, study pack, founder support
INR 4,999
20 lessons across 4 modules · learn at your pace
Open enrollment — founder delivery scales until support quality says otherwise
- Launch status
- Founder launch price · ready for first paid learner
- Ready now
- Written syllabus is live now; study pack, WhatsApp Q&A, project rubric, and rolling video access are delivered directly after fit confirmation.
- First-customer fit
- A self-motivated learner who has read enough of the public syllabus to trust the teaching style and wants founder support without live cohort pressure.
- 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
Cohort
RecommendedCohort — Live group track
Job-Ready support + 4 live group calls + 1 project review
INR 14,999
per cohort batch
4 weeks · weekly group calls · final project review
~4 cohorts per year, ~15 learners per cohort
- Launch status
- First cohorts open after fit-confirmed learner interest
- Ready now
- Batch dates are confirmed manually on WhatsApp once enough right-fit learners are ready; no automated calendar or checkout is shown before the batch is real.
- First-customer fit
- A learner who stalls in self-paced courses, needs scheduled live accountability, and can attend Saturday/Sunday IST calls.
- Everything in Job-Ready support (recorded walkthroughs + study pack)
- Four 90-minute live group calls — module recap, Q&A, common pitfalls
- Peer cohort group (~15 learners) for accountability and questions
Mentorship
Capacity-limited1:1 Mentorship
Job-Ready + cohort + private founder time over 8 weeks
INR 49,999
per mentee · 8-week engagement
8 weeks · 4 × 1-hour private sessions
Capacity-limited — up to 5 mentees per month while quality remains high
- Launch status
- Application-only founder capacity
- Ready now
- Scheduled manually after a fit conversation; strongest when the learner brings a real project, role transition, founder question, or career decision.
- First-customer fit
- A career switcher, founder, or engineer with stakes high enough that private review is worth more than another course.
- Everything in Cohort support
- Four private 1-hour video sessions with Divyanshu, scheduled over 8 weeks
- Code review of one real project of your choice
Architecture Review
Project Architecture Review
One deep 2-hour session + written roadmap document
INR 24,999
per session
~1 week of pre-work + 2-hour session + roadmap doc
Ad-hoc, ~24 sessions per year (founder bandwidth limit)
- Launch status
- Professional service · scoping required
- Ready now
- One concrete codebase, architecture decision, vendor choice, or product direction reviewed after a pre-session questionnaire.
- First-customer fit
- An engineer, founder, or technical lead with a specific decision expensive enough to justify a serious second opinion.
- A pre-session questionnaire one week before the session
- A 2-hour video session with Divyanshu walking through your project / decision
- A 5-page written roadmap document with prioritized recommendations
Workshop
Institutional Workshop
2-day intensive for colleges, schools, and engineering teams
INR 2L–5L
quoted after scoping
2 full days (16 hours) on-site or remote
4–6 institutional engagements per year
- Launch status
- Institutional scoping only
- Ready now
- A 2-day agenda is drafted after a no-cost scoping call; on-site delivery outside Jodhpur requires separate travel and lodging.
- First-customer fit
- A college, school, bootcamp, or engineering team with 20-60 participants and a clear AI-engineering capability goal.
- 2 full days of structured teaching (16 hours total) — on-site or remote
- Custom module selection from the ABCsteps curriculum based on audience
- Pre-engagement scoping call to understand the cohort and goals
Which support path fits?
An honest decision tree.
Most learners are over-paying or over-buying when they choose support. The questions below are how I'd advise you on a WhatsApp call. Read down the column that matches you and the right path becomes obvious.
Recommends → Job-Ready Track
You are a beginner with time to learn at your own pace
Self-paced is genuinely fine for a determined learner. Job-Ready gives you the study pack, recorded walkthroughs, and async WhatsApp Q&A around the same public curriculum. Do not pay for live calls you may not attend.
Go to Job-Ready TrackRecommends → Cohort
You have started self-paced courses before and never finished
Honest answer: Job-Ready alone is not for you. The Cohort gives you scheduled live calls, a peer group, and a final project review — the accountability that converts intent into output.
Go to CohortRecommends → Mentorship
You are switching careers or building a real product alongside the course
You need direct founder access. Mentorship gives you four 1:1 sessions over 8 weeks, a written roadmap, and founder-prioritized async replies inside the engagement scope. This is the right support path when stakes are high and your time is scarce.
Go to MentorshipRecommends → Architecture Review
You are a senior engineer who already knows the foundations
You do not need the curriculum. What you need is a focused second opinion on a specific decision. Architecture Review is one 2-hour session plus a written roadmap — designed for engineers in transition.
Go to Architecture ReviewRecommends → Workshop
You represent a college, school, or engineering team
Individual support paths do not scale to 30 people. Workshop support is a 2-day intensive tuned to your audience. The scoping conversation has no charge; the engagement is INR 2L–5L depending on size and customization.
Go to WorkshopRecommends → Job-Ready Track
You are still not sure which support path fits
Send a WhatsApp message describing your situation honestly. Divyanshu will tell you which path is the right fit — including "you do not need support yet, just read the blog first" if that is the truthful answer.
Go to Job-Ready TrackFit-check message
Ask with context. Then choose the path.
A useful enquiry is not "which course is best?" It names your current level, available time, target proof, and whether you need async support, live accountability, private review, or institutional delivery.
Student or self-learner
Name your weekly time and target project.
This usually separates the public syllabus, Job-Ready Track, and Cohort. Time discipline matters more than buying more support.
Send: I can study __ hours/week. I want to build __. I need async Q&A / live accountability / only public reading.
Review Job-Ready TrackWorking professional
Bring the real blocker.
If the blocker is a role transition, real codebase, stack decision, or product direction, the question may be mentorship or architecture review rather than another course.
Send: I work in __. My blocker is __. I already know __. I need course structure / private review / architecture decision support.
Review MentorshipInstitution or team
Lead with audience size and outcome.
Workshops are scoped around the group, not sold as a generic fixed plan. The useful first message names audience, level, dates, and target capability.
Send: We are __ with __ learners/team members. Current level is __. Desired 2-day outcome is __. Preferred delivery is remote / on-site.
Review WorkshopSide-by-side
The full comparison table.
Job-Ready Track
ABCsteps AI Engineering Course · Job-Ready Track
- Price
- INR 4,999
- Launch status
- Founder launch price · ready for first paid learner
- Ready now
- Written syllabus is live now; study pack, WhatsApp Q&A, project rubric, and rolling video access are delivered directly after fit confirmation.
- First-customer fit
- A self-motivated learner who has read enough of the public syllabus to trust the teaching style and wants founder support without live cohort pressure.
- Proof outcome
- A GitHub repository, setup notes, demo path, AI feature boundary note, and final written project review.
- Duration
- 20 lessons across 4 modules · learn at your pace
- Format
- The 20-lesson written syllabus is publicly readable on this site with no signup, email gate, or paywall. The paid Job-Ready Track adds founder-led video walkthroughs (rolling out), the downloadable study pack, direct WhatsApp Q&A with Divyanshu, and a final project review with written feedback.
- Capacity
- Open enrollment — founder delivery scales until support quality says otherwise
- Live time with Divyanshu
- Async WhatsApp Q&A
- Best for
- Students and self-learners who want the production version of the curriculum (videos + pack + support)
- Not for
- Learners happy reading the public lessons on this site without the videos or support — that is genuinely fine and explicitly the model
Cohort
Cohort — Live group track
- Price
- INR 14,999 per cohort batch
- Launch status
- First cohorts open after fit-confirmed learner interest
- Ready now
- Batch dates are confirmed manually on WhatsApp once enough right-fit learners are ready; no automated calendar or checkout is shown before the batch is real.
- First-customer fit
- A learner who stalls in self-paced courses, needs scheduled live accountability, and can attend Saturday/Sunday IST calls.
- Proof outcome
- Module demos, peer accountability, a reviewed final project, and cohort call notes from the live learning cycle.
- Duration
- 4 weeks · weekly group calls · final project review
- Format
- Everything in Job-Ready support + four 90-minute group calls (Saturday/Sunday IST) + a final project review
- Capacity
- ~4 cohorts per year, ~15 learners per cohort
- Live time with Divyanshu
- 4 × 90-min group calls
- Best for
- Learners who do better with scheduled accountability than pure self-pace
- Not for
- Pure self-pacers who would skip live calls anyway (Job-Ready support is enough)
Mentorship
1:1 Mentorship
- Price
- INR 49,999 per mentee · 8-week engagement
- Launch status
- Application-only founder capacity
- Ready now
- Scheduled manually after a fit conversation; strongest when the learner brings a real project, role transition, founder question, or career decision.
- First-customer fit
- A career switcher, founder, or engineer with stakes high enough that private review is worth more than another course.
- Proof outcome
- Reviewed code or project direction, four session notes, and a written next-step roadmap.
- Duration
- 8 weeks · 4 × 1-hour private sessions
- Format
- Everything in Cohort support + four private 1-hour video sessions with Divyanshu over 8 weeks
- Capacity
- Capacity-limited — up to 5 mentees per month while quality remains high
- Live time with Divyanshu
- 4 × 1-hr private sessions
- Best for
- Career changers making a serious move — engineering bootcamp graduates, switchers from non-tech
- Not for
- Learners who do not have a real project, role, or career question to bring (the structure of 1:1 needs concrete material)
Architecture Review
Project Architecture Review
- Price
- INR 24,999 per session
- Launch status
- Professional service · scoping required
- Ready now
- One concrete codebase, architecture decision, vendor choice, or product direction reviewed after a pre-session questionnaire.
- First-customer fit
- An engineer, founder, or technical lead with a specific decision expensive enough to justify a serious second opinion.
- Proof outcome
- A 2-hour review, 5-page roadmap, prioritized risks, and honest what-to-skip recommendations.
- Duration
- ~1 week of pre-work + 2-hour session + roadmap doc
- Format
- A senior-level review of your project, codebase, or architecture decision — for engineers who do not need the course but need a serious second opinion
- Capacity
- Ad-hoc, ~24 sessions per year (founder bandwidth limit)
- Live time with Divyanshu
- 1 × 2-hr private session
- Best for
- Senior engineers debugging an architecture decision
- Not for
- Beginners — this assumes you can articulate a real project / codebase / decision
Workshop
Institutional Workshop
- Price
- INR 2L–5L quoted after scoping
- Launch status
- Institutional scoping only
- Ready now
- A 2-day agenda is drafted after a no-cost scoping call; on-site delivery outside Jodhpur requires separate travel and lodging.
- First-customer fit
- A college, school, bootcamp, or engineering team with 20-60 participants and a clear AI-engineering capability goal.
- Proof outcome
- Custom agenda, participant workbook, command sheets, working-session artifacts, and post-workshop review call.
- Duration
- 2 full days (16 hours) on-site or remote
- Format
- A custom 2-day intensive for institutions — colleges, schools, engineering teams. Modules tuned to the audience and stack.
- Capacity
- 4–6 institutional engagements per year
- Live time with Divyanshu
- 2 full days (16 hrs)
- Best for
- Colleges (BCA / B.Tech / MCA) building practical AI / cloud capability in their CS department
- Not for
- Individual learners — the learner support paths above are designed for individuals
Why direct enrollment
The doctrine for this phase.
Founder-confirmed enrollment
Every learner is matched to the right support path on a short WhatsApp conversation. The conversation costs nothing and prevents the failure mode where someone over-pays for support they did not need.
Static study packs, not portals
Support materials are durable downloads — PDFs, command sheets, project rubrics — that work offline and remain usable outside a login portal. A learner dashboard arrives when learner volume justifies the engineering effort.
Public-trust depth first
The blog and curriculum are substantive surfaces — long-form articles, full lessons, glossary, reading paths — built for learner trust first. Support pages explain what each path changes, what it can deliver now, and what proof should come out.