You're still just prompting.
Move beyond one-off prompts. Build AI workflows, agents and products that can actually do work for you.
For AI builders who can prompt but can't ship yet
No coding experience is required.
Is this you?
Move beyond one-off prompts. Build AI workflows, agents and products that can actually do work for you.
Take a real problem from your work or business and turn it into a working AI product.
Learn enough software development, data, APIs and AI systems to understand what's being built, and confidently debug, change or improve it.
Build enough AI and software capability to own your product yourself: tweak it, fix it and evolve it without needing an engineer for every change.
You don't need to become a software developer.
You need to become capable enough to build without depending on one.
The AI Residency journey
Read code and understand what an AI agent built for you. Then what an LLM is, why models hallucinate, and how to choose one for your product.
Prompting, context and structured outputs. Then why vibe coding fails: planning before prompting, reusable skills, and Git so nothing is lost.
Turn your idea into a spec and a design with Claude Design and Google Stitch, then into a running app with Cursor, Claude Code or Codex, backed by a real database. First evaluation.
What makes something an agent, when one is worth building, and why agents fail. Then several agents working together, and automations in n8n.
Ground your product in your own documents with citations, connect it to real systems over MCP, and keep it working when an API fails.
Test it with an eval set, protect it against prompt injection and data leaks, then deploy it to a public URL. Final evaluation.
Your capstone
One production-grade AI product, built across all eight weeks and deployed live, with your own data, an agent that acts, and a security check before it ships.
Brands run hundreds of micro-influencer collaborations through DMs and spreadsheets. Build a two-sided platform: creators sign up, get matched to campaigns, submit content, and track payouts, while the brand team reviews, approves, and sees ROI per creator. AI handles matching, content brief generation, and brand-safety checks on every submission.
People know what they want to cook, not what to buy. Build a shopping app where users type a dish or upload a photo of one, and AI turns it into a recipe and a ready cart from the store catalogue, adjusted for servings, diet, and budget. The product includes onboarding, saved meal plans, weekly reorders, and an admin panel for the catalogue. Start from a PRD and user journeys, and build a complete working product.
Build a mini Urban Company for one city and one category. Customers book, professionals accept and complete jobs, and an ops console handles disputes. A support agent answers from the help centre with citations, and a dispatch agent assigns jobs by location and rating.
Build a complete D2C storefront: catalogue, cart, checkout, order tracking, and an admin panel for inventory. On top, an AI shopping assistant recommends products from the catalogue, answers order questions from the live database, and processes returns within policy, escalating anything unusual.
Sample capstones from the program, drawn from what businesses in India and Sri Lanka face.
The faculty
Practitioners working across AI, cloud, machine learning and product engineering, with mentors on the floor during the Bangalore hackathon.
AI & ML Technical Solutions Consultant
Microsoft
Senior Engineer, Cloud & AI
Simplismart
Head of Engineering
Intuit
Backend Engineering Lead, Identity
PayPal
Senior ML Engineer
Ericsson
Google Authorized Trainer
Get the company problem statement, team up, define the scope, and plan your approach.
Build, test, iterate, and refine your solution with your team.
Teams that shipped, present to the companies. Followed by an AI conference.
How to apply
Applications are reviewed on a rolling basis and seats are limited.
Pay ₹999 (non-refundable) and tell us about your work and what you want to build. This puts you in the review pool.
We look at intent, ambition and whether this is the right environment for what you want to build.
A conversation with the team about the program, the commitment and the travel.
Non-refundable, but adjusted against the full program fee. Seats are limited and released in the order they are blocked.
Pay the balance, then onboarding: cohort access, pre-reading, travel and visa guidance.
Programme starts on 6 Jan 2027
One fee, paid in stages. You pay nothing beyond ₹999 unless you are selected.
₹1,75,000 + GST
The ₹10,000 seat reservation is adjusted against your full program fee. Refunds follow the Refund & Withdrawal Policy.
No. Travel to and from the residential venues in Srilanka and Bangalore, including airport transfers, is not included in the program fee. You get yourself to the venue; we take it from there.
You do. A valid passport, supporting documents and compliance with immigration requirements are entirely your responsibility.
No. Indian passport holders are currently eligible for a free 30-day tourist ETA for Sri Lanka, subject to prevailing immigration rules. Masai does not provide visa consultancy, application support or visa guidance. Participants should complete the applicable travel authorisation themselves and check the latest requirements and travel advisories through official Sri Lankan Immigration and Indian Government sources before travelling.
Yes, during the officially communicated residential dates. Additional nights before or after the program dates are not included.
No, standard accommodation is on a double or triple shared basis.
They may travel independently, but companions are not included in program accommodation, activities, transport or other arrangements.
Transport will be arranged for scheduled program activities mentioned in the official itinerary. Personal travel outside the itinerary is not included.
AI Residency is a hands on program focused on building with AI, and going a layer under the hood. It is designed to equip you with deeper understanding of how tech products and AI agents work, and equips you to leverage AI more effectively.
It is a hybrid program. It starts with five day residential experience in Sri Lanka, followed by an online phase and concludes with a 3 Day residential phase in Bangalore, for qualifying participants.
Not in the traditional sense. You are not spending eight weeks memorising syntax. You will learn enough software, AI, data, agents, deployment and security to understand building products & agents in an AI native environments.
No prior programming expertise is required. You should, however, be comfortable using technology and willing to get hands-on. By the end, the expectation is not “I can prompt AI,” but “I understand roughly what the code is doing and I understand how to use AI to solve a business problem deeply.”
Yes. The program is specifically built to help people become more technically capable in an AI-first world. You do not need to become a traditional software engineer, but you should expect to work more closely on technical solutions and products.
Yes. The emphasis is broader than coding: AI-assisted development, model choice, agents, RAG, system design, integrations, evaluation, security and shipping a usable product.
No. The program builds technical capability, product-building experience and real-world exposure that can strengthen your broader career readiness.
No. The skills are broader than one job title. Understanding AI systems, software, agents, data, deployment and product building can be useful across technology, product, entrepreneurship and other AI-enabled roles.
Five days of workshops, building, technical sessions, cohort activities and networking. You begin by understanding what can now be built with AI and leave with the problem and build direction you will carry into the following weeks.
No. The participation in the Bangalore leg of the program is subject to a minimum qualification criteria. All participants who qualify the criteria are eligible for the Bangalore phase. The criteria is linked here.
Yes. A Medical Fitness Certificate issued by a registered medical practitioner is mandatory before the residential phase. It helps confirm that you are fit to participate and ensures any relevant medical needs are disclosed in advance. Any medical consultation, treatment, medication, hospitalisation or related expenses incurred during the residential phase will be borne by the participant and not covered in the program fees.
Yes. You must arrange suitable travel and medical insurance before travelling and is not covered in the program fee.
Meals will follow a pre-defined menu, with vegetarian and non-vegetarian options available. Any special meal requirements outside the standard menu will need to be arranged and managed by the participant at their own expense.
The final residential phase in Bangalore is for learners who meet the required progression criteria during the online phase: a minimum overall score of 45% across all evaluations and at least 65% attendance, including both live and recorded learning components.
The official schedule will be structured and intensive. Any free time outside it is yours to use independently and at your own expense.
No technical degree is a pre-requisite. Selection is based more on fit, intent, willingness to build and your ability to commit to the program.
Yes. That is a perfectly reasonable starting point. What matters is that you are willing to learn how software works instead of expecting AI to remain a mysterious button that produces code.
No. Any paid AI tools, APIs, cloud credits or software subscriptions required for your build must be arranged and paid for by you.
Yes. The program is built around shipping, not just understanding concepts. By the end of the learning phase, you are expected to have a product deployed to the internet that you can explain technically.
Yes. Bring a personal laptop capable of running the required development environments and program tools.
People who want to move beyond using AI tools and start building with them. It is especially relevant if you have ideas you cannot currently build, use AI-generated code without fully understanding it, or have built prototypes that haven't yet run in production.
No. AI may be your copilot, mentors may help unblock you, but the keyboard still belongs to you. The program gives you structure, instruction, feedback and support; you are responsible for the actual build.
The curriculum covers modern AI development workflows and tools such as AI coding agents, model platforms, automation tools and AI infrastructure. Specific tools may evolve as the ecosystem changes, the capability matters more than memorising one tool.
Agents are a significant part of the program. You progress from controlling model outputs to building agents, multi-agent workflows, automation and systems that interact with real data and external services.
Yes. You will learn how AI applications can answer using your own data through retrieval, embeddings and vector databases rather than relying only on what the underlying model already knows.
Yes. You will move from local development to a publicly accessible deployment, including hosting, environment variables, secrets, logs and common production issues.
Eight weeks. One product, live on the internet, built by you.
Starts 6th Jan 2027. Every application is reviewed personally.