The roadmap
Eight months, zero to portfolio.
This is the AI + Full Stack Career Program path in full. The shorter courses are slices of this same track, so you can start small and continue later without repeating anything.
Read this before the pretty timeline below.
Eight months is real, but it is not gentle. It works for students who show up and practise on the days they don't have class, roughly an hour on most days. It does not work for students who attend and never open a laptop in between.
There is a month, usually the second and sometimes the fifth, where you will feel stupid and want to stop. That is not a sign you can't do it. It is what learning something hard feels like, and everyone who can now do this went through it.
If you give us eight months of genuine effort, we'll give you everything we have. That's the trade, and we'd rather be honest about it now than take your money and let you find out in November.
Month 1
Foundations
Code stops looking like magic and starts looking like steps you can follow.
You learn to program. That means sitting with a problem, breaking it into steps, and writing code that does what you meant, rather than copying a tutorial and hoping. Most people quit in this month, and almost always because they expected it to feel easy. It won't. It is supposed to feel like learning an instrument.
By the end: Six Python projects, on a public GitHub profile.
PythonLogic and problem solvingGit and GitHubReading errorsMonth 2
Solving problems yourself
Syntax is no longer what slows you down.
Structures, objects, and problems you haven't been shown the answer to. This is the month that decides whether you're someone who follows tutorials or someone who builds, and it is why we don't rush past it into the shiny parts.
By the end: Programs on GitHub that someone else can clone and run.
Data structuresOOPAlgorithmic thinkingAPIs and JSONGitHub profileMonth 3
Building for real
The first time your family can see the work, because there's a link to send them.
You put something on the internet and send the link to your mother. That sounds trivial; it isn't. It's the first time the work becomes visible to other people, and it's the point where most students stop needing motivation from us.
By the end: A deployed, responsive site with a real URL.
HTML and CSSJavaScriptResponsive designDeploymentMonth 4
The web, properly
Structure, and the habits that let other people work in your code.
React, component thinking, state. This is where structure starts to matter more than cleverness, and where you learn that the code you wrote last month was fine but wouldn't survive a team.
By the end: A React application consuming live APIs.
ReactComponents and stateAPIsComponent architectureMonth 5
Backend and databases
By the end of it you can put an entire idea online without help from anyone.
Servers, APIs, authentication, databases. When this month closes, you can take an idea in your head and put the entire thing on the internet without needing anyone else. That's the month people start calling themselves developers and mean it.
By the end: A full-stack app with login and a real database.
Node.jsREST APIsAuthenticationPostgreSQLSchema designMonth 6
AI engineering
The frontier work most of you came here for.
Prompt engineering, embeddings, retrieval. This is the current frontier and it's the reason most of you came. It is also the month that only works because of months one to five. AI built on shaky foundations gives you a demo, and a demo is not a career.
By the end: A RAG assistant answering questions over real documents.
LLM APIsPrompt engineeringEmbeddings and RAGChatbotsMonth 7
Agents, voice and shipping
Your software starts finishing jobs on its own.
Agents that use tools to finish multi-step tasks, voice interfaces, and the part nobody posts about: evaluating whether the thing is any good, and what it costs to run.
By the end: An agent, deployed, evaluated and monitored.
AI agentsTool useVoice AIAutomationEvals and guardrailsMonth 8
Capstone and career
Most of this month is preparation for the interviews themselves.
You scope and build a capstone that's yours. Then we turn to the part nobody teaches: a resume that survives six seconds, a GitHub profile a recruiter will open, DSA for interviews, and mock interviews with engineers who conduct real ones. We'll be blunt with you here, because that is what the month is for.
By the end: A capstone, a portfolio, and interview readiness.
Capstone projectPortfolioResumeDSAMock interviews
After month eight
What happens next, stated precisely.
What we do
- Internship opportunities: real work, on real projects.
- Placement assistance:portfolio and resume work, and introductions through our network where there's a genuine fit.
- Interview preparation: DSA, system design at fresher level, and mock interviews with engineers who conduct real ones.
- Honest feedback: including the times when you are not ready yet.
What we won't claim
We don't guarantee jobs, and we'd gently suggest you walk away from anyone who does. A guarantee is a marketing line. No institute controls whether a company hires you.
Bibha AI hires, and we have connections in Bangalore, Chandigarh, Delhi and Noida. We'll open every door we can reach. Walking through it is still your work.
What we'll promise instead is narrower and more useful: after eight months of real effort, you'll be good enough to compete, and you'll have the deployed projects to prove it.
Come and see a class before you decide.
The next batch starts 15 September 2026. Book a free demo, ask us the hard questions, then make up your mind.