Ship Real AI Projects. Not Just Tutorials.
Build with AI APIs, pair-program with AI, and ship real projects that prove you can build.
For: CS students, bootcamp grads, junior devs
Watching tutorials doesn't make you a developer. Building things does. This path is for students and early-career devs who want to actually BUILD with AI — not just talk about it.
You'll pair-program with AI, build real projects using LLM APIs, and ship a portfolio piece that proves you can do more than copy-paste from Stack Overflow. Every module has code. Every assessment tests real building skills.
By the end, you'll have a deployed AI project and the skills to build more.
Real Skills. Real Results.
Build and deploy AI-powered applications from scratch
Master AI pair programming to write code 2x faster
Ship a portfolio project that stands out to employers
Understand LLM internals well enough to debug production issues
Ideal for
- CS students who want to build, not just learn theory
- Junior devs who want to stand out with AI skills
- Career switchers with basic coding skills
Might not be for you if
- People with no coding experience (see No-Code track)
- ML researchers looking for academic depth
9 Modules. Each One Ends With a Deliverable.
You don't just learn — you build. Every module produces something you can use immediately.
AI Foundations & Prompt Mastery
Set up your AI toolkit, understand how LLMs work under the hood.
You'll build
AI toolkit configured + prompt engineering cheat sheet
AI Pair Programming Mastery
Use Copilot, Cursor, and ChatGPT to write better code faster.
You'll build
AI-assisted coding workflow that doubles your output
Building with LLM APIs
Call OpenAI, Anthropic, and open-source models from your own code.
You'll build
Working chatbot with system prompts, memory, and streaming
Prompt Engineering for Developers
Chain prompts, structured outputs, function calling, and guardrails.
You'll build
Prompt chain that automates a complex task end-to-end
RAG & Knowledge Systems
Build apps that answer questions from your own documents and data.
You'll build
RAG pipeline: upload docs → embed → search → answer
AI Agents & Automation
Build agents that plan, reason, and take actions on their own.
You'll build
Autonomous agent that completes a multi-step task
AI-Powered Full-Stack Project
Design, build, and deploy a complete AI-powered application.
You'll build
Deployed project + case study for your portfolio
Open Source & Advanced Patterns
Fine-tuning, local models, evaluation frameworks, and production best practices.
You'll build
Fine-tuned model or evaluation pipeline
Capstone: Ship Your AI Product
Take everything you've built and launch it publicly.
You'll build
Live, deployed AI product with users
See What Your Assessments Look Like
Pick your role and industry below. Watch the questions change to match your real work — just like they will inside the course.
SELECT YOUR CONTEXT TO SEE LIVE EXAMPLES
Showing questions as they'd appear for a Aspiring Developer in Education / University
As a Aspiring Developer in Education / University, explain the difference between zero-shot, few-shot, and chain-of-thought prompting. When would you use each in a production application?
You're a Aspiring Developer working at a Education / University company. Your codebase has a 500-line legacy module with no tests. Use AI pair programming to: (1) understand what the code does, (2) refactor it into clean functions, and (3) generate comprehensive unit tests. Describe your prompt strategy for each step.
As a Aspiring Developer in Education / University, you're building a customer support chatbot. Design the system architecture: which LLM API to use, how to handle conversation memory, how to access product data, and how to prevent hallucinated information.
Your Education / University company has 500 internal documents that employees constantly search through. As a Aspiring Developer, design a RAG pipeline that lets users ask natural language questions and get accurate answers with source citations. Cover: embedding strategy, chunking approach, retrieval method, and answer generation.
You're a Aspiring Developer and your Education / University team needs a code review bot that runs on every pull request. It should analyze the diff, check for security issues, suggest improvements, and post comments directly on GitHub. Design the agent architecture and write the core prompts.
These are examples. The real assessments are generated fresh by AI every attempt — no two tests are ever the same.
Start This Path — ₹499/moLearn. Prove. Unlock.
Learn at Your Pace
Structured lessons with real-world exercises. Each lesson ends with "Try this now" — apply what you learned to your actual work.
Get Tested by AI
Every assessment is generated fresh. Comprehension MCQs + real-world scenarios — personalized to YOUR role.
Unlock the Next Level
Score 70%+ to unlock the next module. Fail? Get detailed feedback and retake with entirely new questions.
We Ask About Your Context. Then We Use It.
During setup, you tell us your role, context, and industry. Every assessment after that references your real work.
Undergraduate Student
Currently in a CS/tech degree program
Bootcamp Student / Grad
Self-taught or bootcamp background
Junior Developer
0–2 years of professional experience
Career Switcher
Moving into tech from another field
Postgraduate / Researcher
Masters, PhD, or academic research
+ your specific role, industry, and biggest time sinks. All used to generate your unique assessments.
“Practical, Not Theoretical.”
“Ashray has all-round skills — be it back-end or front-end or soft-skills. He is very detail-oriented and goes deep into the problem and solves it.”
Bala Venkatachalam
Director Engineering, Zynga
“Canvas in ChatGPT, and that Gemini is able to edit images brilliantly — I didn't know these tools could do so much. Extremely practical and immediately useful.”
Flora Lee
Educator
“Within days of joining, Ashray was hands-on and took complete control of the entire product, CereBrate, single-handedly. Whether it was Python/Django or interfacing directly with customers — he did it all with ease.”
Subhashini Subramaniam
VP Engineering, American Express
Ashray Swaroopa
Engineer. Builder. Teacher.
10+ years building products across healthcare, education, retail, and government. 1,000+ students taught. Platforms deployed across 100+ orgs.
Students (Code)
9 modules · AI-assessed · Cancel anytime
- Full 9-module curriculum
- AI-generated assessments — unique every attempt
- Questions personalized to your role & industry
- Detailed AI feedback on every answer
- Progress tracking & module unlocking
- Cancel anytime — your progress is saved
That's ₹16/day — less than 2 Zomato orders — for skills that compound every month.