Flagship career program
AI + Full Stack Career Program
The whole path, in the order it works: programming, the web, backend and databases, deployment, then AI on top of foundations solid enough to hold it. Six to eight months, project-based from week one, ending with a capstone and interview preparation.
The syllabus
What we'll cover, in order.
6–8 months, project-based from week one. Each block ends with something built and working rather than a chapter finished.
Month 1
Foundations
You learn to program, which means breaking a problem into steps and writing code that does what you meant, rather than copying a tutorial.
Python syntax and data typesLoops, functions, filesLists, dictionaries, setsProblem decompositionGit and GitHubReading errors and debuggingMonth 2
Problem solving and your first projects
By month two the language stops being the hard part. You solve problems on your own and push work to GitHub that someone else can run.
Object-oriented programmingData structures in practiceAlgorithmic thinkingFile handling and JSONWorking with public APIsGitHub profile and READMEMonth 3
The web, and your first live URL
You put something on the internet and send the link to your family. That's the month the work becomes visible.
HTML5 and semantic markupCSS3, Flexbox and GridTailwind CSSJavaScript (ES6+)Responsive designDeployment (Vercel)Month 4
React and modern frontend
Component thinking and state, at the point where structure matters more than cleverness.
React components and propsState and hooksRoutingConsuming REST APIsForms and validationComponent architectureMonth 5
Backend, databases and deployment
The month you can build the whole thing alone, from idea to deployed product, without needing anyone else.
Node.js and ExpressREST API designMongoDB and PostgreSQLAuthentication and sessionsNext.js full stack appsCloud deployment (Vercel, Render)Month 6
AI engineering: models and retrieval
The frontier, and the reason most students came. It works because months one to five are already in place.
How LLMs behave in practicePrompt engineeringLLM APIs and tool callingEmbeddings and vector searchRetrieval-Augmented GenerationChatbot developmentMonth 7
AI engineering: agents, voice and shipping
Agents that carry out work rather than answer questions, and the unglamorous part of putting them in front of real users.
AI agent developmentMulti-step tool useVoice agents (TTS/STT)AI workflow automationEvaluation and guardrailsCost control and monitoringMonth 8
Capstone and career
You scope and build something that's yours, then we prepare you for the interview bluntly, because that's what it's for.
Capstone projectPortfolio and GitHub polishResume and LinkedInDSA for interviewsMock interviewsInternship and placement assistance
What you'll be able to do
- Build and deploy a complete product on your own, frontend to database
- Ship AI features (RAG, agents, chatbots, voice) that work outside a demo
- Show a GitHub profile and portfolio a recruiter will open
- Walk into a fresher interview able to answer DSA and project questions
What you'll build and keep
- Six small Python programs on a public GitHub profile
- A deployed, responsive website with a real URL
- A React app running on live APIs
- A full-stack app with login and a real database
- A RAG assistant answering questions over real documents
- An agent that finishes a multi-step task using real tools
- A capstone you scoped and built yourself
Every project is deployed and lives on your own GitHub, which is the part a recruiter opens.
Who it's for
- Students and graduates who want a software job, not a certificate
- People starting from zero who are willing to practise between classes
- Anyone who has done a short course and wants the full track without repeating it
Prerequisites
None. It starts from your first line of code. What it does need is roughly an hour of practice on the days you don't have class. That habit matters more than your marks.
The tools you'll use
Founding batch fee
₹39,999
Whole program
EMI available
Industry salary range
₹5–8 LPA
Typical first job
₹8–15 LPA
With a strong portfolio
AI Product Engineer · Full Stack + AI Developer · Software Engineer
About the fee. These are the founding-batch fees, the price for our first intake, printed here exactly as it appears on our fee structure. Affordable EMI is available on every program; the instalment plan is worked out with you on the call, before you enrol. If you're not certain which program your money is best spent on, sit in on a free demo class first and ask us. We'd rather you picked the right one than the expensive one.
About the salaries. These are 2026 market ranges for freshers who have the skill, sourced from AmbitionBox, Glassdoor, Indeed and Naukri salary data, not from us. The lower end is a realistic first job at a service company or here in Punjab; the upper end is what product companies and metro startups pay when your portfolio is real and deployed. A certificate on its own gets you neither. We help you build the portfolio and prepare for the interviews. We don't promise a package, and you should walk out of any institute that does.
Other programs
Not sure this is the right one?
The programs overlap on purpose, so you can start with a shorter one and continue later without repeating anything. If you'd rather we just told you, book a free counselling session.
Sit in on a AI + Full Stack Career Program 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.