Why ABCsteps exists
Engineering skill should become proof, not another course claim.
ABCsteps exists for learners who need a real path into AI engineering: public lessons first, real tools second, paid help only when it helps produce inspectable work.
- Syllabus
- 20 lessons
- Method
- Build proof
- Support
- Optional
The access gap
The formal pipeline gates AI to a fraction of who could do it.
In India, the standard path to an AI engineering job runs through B.Tech, M.Tech, or M.Sc. programs in Computer Science, Artificial Intelligence, or Data Science. Three things make that path narrow:
01 · Stream gating
PCM-only entry
Most B.Tech AI / DS programs require Physics, Chemistry, Mathematics in class 11-12. Commerce, arts, and humanities students are filtered out before they get to apply. The filter has no relationship to whether someone could engineer an AI product.
02 · Cost gating
₹4–25 lakhs
Tuition for a four-year B.Tech in AI/DS at a credible private university runs ₹4–8 lakhs per year. Tier-1 institutions cost more. For most working families, this is years of savings — or a loan that compounds before the graduate has earned a salary.
03 · Time gating
Four years, full-time
A B.Tech requires you to be a full-time student for four years. For someone already working, supporting a family, or trying to switch careers at 25 or 30, that is rarely an option. The result: people who could become excellent AI engineers stay where they are because the only legible path requires sacrificing what they already have.
What ABCsteps is
A 20-lesson practical AI engineering course. Publicly readable. Founder-coordinated.
ABCsteps teaches the engineering layer of building AI products: editor, terminal, version control, containers, cloud deployment, APIs, databases, AI integration, prompt engineering, documentation, shipping. The lessons are written first, projects second, video as support. Every lesson is publicly readable on this site before anyone pays.
No prerequisites
Lesson 01 starts with "what is code" and "what does an AI assistant actually do." No assumed maths background. No assumed CS background. The structure is designed for an absolute beginner who is willing to read.
Build at every step
Each lesson produces an artefact — code committed to GitHub, a container running, an API endpoint responding, a leaderboard live on the internet. By the end, you have a portfolio of real projects, not certificates.
Honest about limits
ABCsteps does not give you a degree. It does not promise placement. It does not claim to replace four years of structured CS study if that is genuinely what you need. It teaches AI engineering. The rest is on you.
The engineering layer
This is not motivational AI content. It is tool-by-tool practice.
The public syllabus maps beginner-friendly lessons to the same surfaces real engineering teams touch: editor, repository, runtime, deployment, APIs, and AI provider boundaries. Paid guidance can help, but the foundation remains inspectable work.
Logos are ecosystem references only: no affiliation, hiring promise, interview promise, salary promise, or placement guarantee. They show the tooling context the lessons teach.
Layer 01
AI-assisted editing
Start with an AI pair, but learn the non-negotiable habit of reading, running, and checking the generated code inside a real workspace.
Open lesson 01Layer 02
Versioned proof of work
Move from private effort to inspectable work: commits, repositories, README files, and a trail another human can review.
Open the GitHub lessonLayer 03
Runtime to reachable demo
Learn the path from local runtime to repeatable container to reachable Cloudflare demo without pretending localhost is production.
Open the deployment moduleLayer 04
AI product boundaries
Treat OpenAI or any model provider as one bounded capability inside a product, with structured payloads, server boundaries, and failure handling.
Open the AI product lessonSkills companies recognize
ABCsteps teaches job-description language through buildable projects.
The point is not to memorize brand names. The point is to learn the vocabulary that appears around real engineering work: repositories, cloud deployment, APIs, model boundaries, typed frontends, runtime logs, and documentation. These are the skills a learner can later show through proof of work.
Platform and company logos are ecosystem references only. They do not imply partnership, endorsement, interview access, hiring preference, salary outcome, or placement guarantee. Companies do not hire because a logo appears on a page; they evaluate work that can be inspected.
Signal 01
Cloud deployment literacy
Learners practice the path from local runtime to reachable demo, then explain the difference between a running laptop app, a container, and an edge-served public surface.
- Docker
- Cloudflare
- AWS
- Google Cloud
Signal 02
AI product boundary work
The curriculum teaches model providers as bounded services inside a product: request shape, cost awareness, structured output, human review, and failure handling.
- OpenAI
- JSON
- Copilot
- review loop
Signal 03
Full-stack system vocabulary
A learner sees the interface, runtime, payload, and API as separate surfaces, then connects them with readable code instead of treating the app as one black box.
- TypeScript
- Vue
- Node.js
- APIs
Signal 04
Inspectable proof of work
The most useful learning output is not a certificate screenshot. It is a repository with commits, README notes, screenshots, limitations, and a demo another person can review.
- GitHub
- Git
- README
- portfolio
Honest comparison
ABCsteps vs the alternatives.
For a learner deciding where to invest the next year of their life and a chunk of their savings, the alternatives matter. Here is how ABCsteps compares to the four most common paths to AI engineering knowledge in India today.
Cost
- ABCsteps
- Publicly readable · no signup or paywall
- B.Tech AI/DS
- INR 4–8 lakhs per year × 4 years
- NPTEL / SWAYAM
- Free; certification fees per course
- Coursera / Udemy
- Free to audit; INR 3–8K per certificate
Duration
- ABCsteps
- 20 lessons · self-paced
- B.Tech AI/DS
- 4 years full-time
- NPTEL / SWAYAM
- 8–12 weeks per course
- Coursera / Udemy
- 4–8 weeks per specialization
Prerequisites
- ABCsteps
- None. Open to anyone willing to read.
- B.Tech AI/DS
- PCM in class 11-12 + entrance exam
- NPTEL / SWAYAM
- Varies; many require math background
- Coursera / Udemy
- Varies; some require coding fluency
What you receive
- ABCsteps
- 20 written lessons, real projects, glossary, reading paths
- B.Tech AI/DS
- Degree, transcript, placement cell, peer cohort
- NPTEL / SWAYAM
- Lectures, assignments, optional certificate
- Coursera / Udemy
- Video lectures, quizzes, course certificate
What it teaches
- ABCsteps
- Practical AI engineering — coding, deployment, AI integration, shipping
- B.Tech AI/DS
- Full CS curriculum + AI specialization theory + research methodology
- NPTEL / SWAYAM
- Specific topic per course (often academic)
- Coursera / Udemy
- Specific topic per course (often product-focused)
Founder/instructor access
- ABCsteps
- Public contact path for questions and corrections
- B.Tech AI/DS
- Office hours during semester
- NPTEL / SWAYAM
- Discussion forum; limited TA access
- Coursera / Udemy
- Forum-based; varies by course
Degree / accreditation
- ABCsteps
- No degree. No accreditation. Course completion only.
- B.Tech AI/DS
- Yes — UGC / AICTE / autonomous
- NPTEL / SWAYAM
- Joint certification with IIT/IISc
- Coursera / Udemy
- Course certificate; rarely degree-equivalent
Best fit
- ABCsteps
- Career switchers, non-PCM students, working professionals
- B.Tech AI/DS
- 17–22 year olds with PCM and full-time availability
- NPTEL / SWAYAM
- Augmenting an existing CS degree
- Coursera / Udemy
- Topic-specific upskill for working engineers
None of these is universally "better." If you are 17 and your family can fund a B.Tech, the formal degree gives you things ABCsteps cannot — accreditation, placement cell, peer network, four uninterrupted years to mature as an engineer. ABCsteps exists for the cases where that path is closed to you, too expensive, or simply the wrong shape for your life.
Right for
Who ABCsteps is built for
- Commerce, arts, humanities students who want to enter AI engineering but were filtered out by science-stream gating in school.
- Working professionals who cannot leave a job to study full-time but can study seriously in evenings and weekends.
- Engineering graduates from non-AI streams (mechanical, civil, electrical) who want to add AI engineering capability without doing another degree.
- College students currently doing a different B.Tech or B.Sc who want practical AI engineering skill alongside their formal program.
- Self-taught builders who can already code a bit and want a structured path to ship a real AI product end-to-end.
- Career switchers at 25, 30, 35 for whom going back to a four-year program is not a real option.
Not right for
Who ABCsteps is honestly not for
- Anyone whose specific career requires a degree. Government roles, certain MNCs, certain visa categories, and most postgraduate programs need an accredited degree. ABCsteps does not give you one.
- Anyone wanting deep AI research / theoretical mathematics. A research career in machine learning needs the formal mathematics, statistics, and theory that an M.Tech or PhD provides. We teach engineering, not research.
- Anyone who needs a placement guarantee. ABCsteps does not promise jobs, salaries, or hiring. The course teaches skill and ships proof of work; whether that converts to a job depends on you, the market, and verified employer programs.
- Anyone unwilling to read. The lessons are written-first. If you only want to passively watch videos, this curriculum will frustrate you.
- Anyone looking for a shortcut. ABCsteps is honest about effort: 20 substantial lessons, real projects, real reading. The price is low; the work is not.
A note from Divyanshu
Why I built this.
I have been writing software for over a decade. Most of what I do day-to-day — read code, run a container, hit an API, store data, integrate an LLM — was not taught in any classroom. It came from reading documentation, building things that broke, and reading more documentation.
The four-year B.Tech path is genuinely valuable. I am not against it. But I have watched too many smart people get filtered out of AI engineering because they took commerce in class 11, or because their family could not fund a private university, or because they discovered the field at 28 when going back to college was not a real option. They are not less capable. The system simply has no entry point for them.
ABCsteps is the entry point I wish had existed. The syllabus is publicly readable because learners should inspect the teaching before they commit to anything paid. The 20 lessons are deliberately the engineering layer — what you actually do at a desk to ship an AI product — because that is the most valuable layer to teach first.
If this fits, start with the lessons. If it does not, the articles and glossary are still public enough for you to inspect the teaching style before you ever contact anyone. That is the deal.
Divyanshu Singh Chouhan
Founder · ABC Steps Technologies Pvt Ltd · Jodhpur, India
Monetization without pressure
The alternative to a degree still needs a real business model.
ABCsteps is not trying to monetize attention through shallow content. It keeps the proof layer public and charges for founder time, review, live accountability, and institutional delivery.
How to choose
Start with the free lessons. Upgrade when videos, Q&A, live accountability, private review, or institutional delivery helps you finish stronger work.
Free start
Free written lessons
INR 0
20 lessons, blog, glossary, and reading paths remain readable without signup, checkout, or account creation.
Open lessonsJob-Ready Track
FoundingABCsteps AI Engineering Course · Job-Ready Track
INR 4,999
A self-motivated learner who has read enough of the public syllabus to trust the teaching style and wants founder guidance without live cohort pressure.
Open Job-Ready TrackCohort
RecommendedCohort — Live group track
INR 14,999
per cohort batch
A learner who stalls in self-paced courses, needs scheduled live accountability, and can attend Saturday/Sunday IST calls.
Open CohortMentorship
Capacity1:1 Mentorship
INR 49,999
per mentee · 8-week engagement
A career switcher, founder, or engineer with stakes high enough that private review is worth more than another course.
Open MentorshipArchitecture Review
Project Architecture Review
INR 24,999
per session
An engineer, founder, or technical lead with a specific decision expensive enough to justify a serious second opinion.
Open Architecture ReviewWorkshop
Institutional Workshop
INR 2L–5L
quoted after scoping
A college, school, bootcamp, or engineering team with 20-60 participants and a clear AI-engineering capability goal.
Open WorkshopThe path
Read the public syllabus first. Build proof before deciding anything else.
Every one of the 20 lessons is publicly readable on this site. The blog has 33 deep articles on the same topics. Use the public proof layer, decide if the teaching style works for you, and build the first artefact.
Public lessons · Engineering articles · Honest positioning