newlabs: fix real code, get graded →
Learn what startups are actually hiring for.
Every course is crafted from professional JDs, years of experience, and wisdom from people at the cutting edge of technology. No generic tutorials: only the skills the job asks for, taught through code you write yourself.
First 2 chapters of every course free · no card needed
embedding space · 2d projection
scanned 00/22 | top_k 0 | best —
import numpy as np
def retrieve(q, docs, k=3):
sims = docs @ q / (
np.linalg.norm(docs, axis=1)
* np.linalg.norm(q))
top = np.argsort(-sims)[:k]
return top, sims[top]
len(top) == kreturns 3 docs
sims[top]sorted high → low
-1 ≤ sim ≤ 1cosine is bounded
› press Run to execute
Real computation, running in the page
You build this in Software Engineer → AI Engineer
You build this in Software Engineer → AI Engineer
2
free chapters in every course
3
job-mapped courses, one goal: hired
5
ways to practise in every section
565
written lessons, with code you run
1:1
mentorship with working engineers
// why our courses work
Crafted from the job, not from a textbook.
Every TheNeuralNetwork course is crafted from professional JDs, years of experience, and wisdom from people at the cutting edge of technology. That's why our learners walk into interviews already speaking the job's language.
01professional JDsBuilt around the jobEvery course is crafted from professional job descriptions, so each chapter maps to a skill employers actually screen for. Nothing you learn is filler.
02years of experienceTaught with judgementLessons carry years of experience from engineers who have shipped, debugged and hired in real teams: the trade-offs, the failure modes, the why.
03the cutting edgeAhead of the curveWisdom from people at the cutting edge of technology, so you learn the tools and patterns teams are adopting now, not the ones they're retiring.
$ cat promise.txtLearn exactly what the job demands, and why it matters.
// new: labs
Don't just learn it. Close the ticket.
Labs drop you into a small, real codebase with a bug report to fix, the way your first week on the job does. Write the code, run the tests, and get graded like a code review.
- 01Get a ticketA P1 bug from a beta user, with acceptance criteria. Not a puzzle: the kind of thing that lands on your desk.
- 02Read a real codebase4 files of working pipeline code and a dependency graph of who imports whom. You write only the 2 functions the ticket needs; the rest is read-only.
- 03Run the tests4 visible tests run right in your browser, as often as you like. No setup, nothing to install.
- 04Submit for a score5 hidden checks run your fix on fresh inputs, checked against the reference answers. Score out of 100: checks passed, a time bonus, and −5 for each hint you take.
$ ls courses/
Pick the job. We'll teach the JD.
first 2 chapters free in each
english · हिंदी planned
english · हिंदी planned
01from zero
Zero to HiredAI Engineer
From your first Python script to deployed LangGraph + MCP agents, with a job-search sprint at the end.
get hired asAI Engineer · GenAI Engineer · LLM Engineer · Forward Deployed Engineer
freechapters 01–02
full course₹4,999
duration24 weeks · 12-15 hrs/week
02from zero
Zero to HiredData Engineer
For final-year students and freshers who want to build the pipelines companies run on.
get hired asData Engineer
freechapters 01–02
full course₹15
// what every section ends with
You don't watch. You answer, fill, flip and ship.
These are real exercises from Software Engineer → AI Engineer. Pick one and try it.
You pushed a commit to the shared main branch and two teammates have already pulled it. The commit introduced a bug. What is the safest way to undo it?
$ cat ai_engineer/outline
Zero to Hired AI Engineer
A 24-week, text-and-diagrams course from no coding background to a job-ready AI engineer: Python, ML, transformers, LLM APIs, RAG, agents with LangGraph, MCP and Agent Skills, evals, fine-tuning and deployment, then a capstone with real users and a job-search sprint.
forStudents, freshers, career switchers and working developers in India moving into AI engineering
levelBeginner → job-ready
duration24 weeks · 12-15 hrs/week
languagesEN · हिं (soon)
01
Python Foundations & Developer Setup90% of an AI engineer's daily work is Python. This week you set up a professional workspace and write your first real programs.
free02
Intermediate Python: OOP, Types, Errors & TestingLangChain, LangGraph, and FastAPI are all built on classes, type hints, and Pydantic models. You need to read and write this style of code fluently.
free// pricing
Start free. Pay when it's working for you.
free
₹0
+ First 2 chapters of every course+ Lessons, quizzes and exercises+ Labs in the free chapters, graded+ No card needed
Start freefull coursemost picked
from ₹1
+ Every chapter in the course+ Every lab, with hidden-check grading+ Reference solutions once you pass a lab+ New chapters as they're added+ One-time payment, no subscription
Unlock course1:1 mentorship
On request
+ Everything in full course+ 1:1 sessions with a working engineer+ Plans shaped around your goal
Talk to a mentor