Learn to discover the business problem, design the solution, build the system, deploy it and work with the people who use it.
Companies have models, APIs and pilots — what they lack are engineers who can sit with an operations team, understand the real workflow, and ship a system that survives contact with production. Forward deployed engineers close that gap.
Every week has a hands-on lab and an assignment. Open a week to see both.
Ship clean, tested, containerised services
Refactor a scrappy script into a typed, tested package.
Open a pull request with tests and respond to a code review.
Build a settlements endpoint backed by PostgreSQL.
Add auth, pagination and audit logging to the API.
Containerise the API and run it locally with Docker Compose.
Ship a CI pipeline that tests, builds and deploys on merge.
Write an Airflow DAG that ingests daily transaction files.
Add data quality checks and alert on failed loads.
Build retrieval, agent and evaluation layers
Extract structured fields from dispute emails with an LLM.
Version your prompts and report cost and latency per call.
Index a policy handbook in pgvector and answer questions over it.
Return cited answers and refuse when the source is missing.
Build a LangGraph agent that calls transaction lookup tools.
Add an approval step before the agent takes any action.
Build an eval set and grader for your RAG app.
Add PII redaction and trace every request end to end.
Run an engagement like a forward deployed engineer
Compare three architectures for an operations copilot.
Write an architecture decision record for your choice.
Run a mock discovery interview with a reconciliation team.
Write a discovery brief with measurable success metrics.
Rehearse a five-minute demo for a non-technical audience.
Write a rollout plan and an on-call runbook.
Agree scope and milestones for your capstone engagement.
Deliver the executive demo and technical documentation.
The fast track covers the core in 12 weeks. The standard pace spreads the same content and a full client-style engagement over up to 24 weeks.
Plan for 8–10 hrs/week, including the live session.
{
"transaction_id": "txn_8816",
"score": 0.87,
"decision": "review",
"latency_ms": 41
}A production-style API that exposes daily merchant settlements with auth, pagination and audit logs.
Synthetic merchant transactions and settlement batches
An agent that gathers transaction evidence, drafts a dispute response and waits for analyst approval.
Card disputes with transaction and merchant history
A decision record and architecture for rolling an AI copilot into a bank operations team.
Discovery notes from a reconciliation team
Run a client-style engagement for a payments operations team that spends hours matching bank statements to ledger entries. Discover the workflow, build the system, deploy it and iterate with feedback.
Dataset: Bank statements, internal ledger and PSP settlement files with realistic mismatches
Prefer another domain? Choose SaaS, E-commerce, Logistics or Healthcare at the capstone kick-off.
Embed with customers to ship AI solutions
Build LLM and agent systems for products
Design and prove solutions with clients
These are the roles this track prepares you for. AI4Impact provides career support; it does not guarantee employment, interviews or a particular salary.
Completion records that you did the work. The professional certificate is awarded only after an independently reviewed capstone and a recorded defence, so it means something to the people hiring.
Add it to any track. Five modules that take you from a finished capstone to real interviews, for ₹24,999.
The fast track covers the core curriculum in 12 weeks. The standard pace spreads the same content and a full client-style engagement over up to 24 weeks, for learners balancing work or study.
Each week has short recorded lessons, a hands-on lab and an assignment, plus a live clarification session with your trainer. Plan for 8–10 hours a week, including the live session.
They are part of Programme+: five one-to-one 30-minute sessions you book through your learner dashboard and use for scoping, reviews or career direction.
Fintech is the default. If you prefer another domain, you can choose SaaS, E-commerce, Logistics or Healthcare at the capstone kick-off.
No. AI4Impact provides career support and recommendations, but it does not guarantee employment, interviews or a particular salary. Hiring decisions are made by employers.
Book a free 20-minute call. We look at your background and tell you honestly which track fits, or if none of them do yet.