Forward-deployed AI engineering training in Hyderabad
Hyderabad is one of the six Indian cities that host most of the country's global capability centres. Zinnov counts more than 355 GCCs in the city, and it notes that Pune and Hyderabad together hold about 24 per cent of India's GCC research and development talent. The centres here are the places where a parent's AI work is most likely to be built, and where the people who build it most need a method they can repeat.
This page describes the training for Hyderabad centres and teams: what the programme builds, how the team programme and the public cohort differ, and how the work fits the state's AI agenda. I am Mayur Patil, based in Nashik, India. I am in Hyderabad often for engagements, and I run both the public cohort and team programmes.
Who the training is for
The training suits engineers who will build agents inside a centre, and the leads who must decide whether a team is ready to ship one. A centre usually sends a mix of both: engineers who will write the system, and a lead who will own it after launch. Both roles are assessed, because a system that only one person understands does not survive a change of team.
What the programme builds
Participants build one realistic system across the programme, from a brief the centre provides. Discovery sets the outcome, the owner and the evidence. Architecture records the decisions, including the options that were rejected and why. Integration connects the system to real records and tests it against an evaluation set. Handover gives a named owner a runbook and the reasoning behind the system.
Two terms from this site describe the work in more detail. The four gates mark how each stage is judged. The evaluation harness explains how results are measured, so that a change to the system can be checked before it reaches users.
The state's AI agenda
The Telangana government's AI mission, T-AIM, is an AI-specific organisation set up in partnership with NASSCOM. The state describes six pillars for its AI framework: datasets and the data exchange platform, talent and education, research and innovation, high-performance computing labs, governance, ethics and privacy, and enabling AI adoption with community collaboration.
The training is designed around the governance pillar in practice. Each participant records the approvals a system needs, keeps a run record, and shows how a person can stop the system. These are the questions a centre's risk team, and a state-backed partner, will ask first.
How a team programme runs
A team programme follows the centre's calendar, not a fixed syllabus. The steps below are the typical shape, and the dates are agreed with the team:
- Week one. The team names the workflow, the owner who signs off results, and the data each step reads. Participants set up the tools they will use, in the centre's own environment.
- Weeks two and three. Participants build the first working slice on real or realistic records. Each design choice is written down, with the alternatives considered.
- Final week. The team runs the evaluation, fixes the failures it finds, and writes the handover note. The owner reviews the handover before the programme closes.
A centre with several business units runs one programme per unit, in sequence. The second programme reuses the evaluation method from the first, so the standard stays the same across units while the workflows differ.
What a risk team checks
A centre's risk and audit teams look at the same few things in every system, and the programme trains participants to show them: which data the system reads and why, which actions need a person's approval, what happens when the model changes, and how a bad output is caught before it reaches a customer. Participants leave with the evidence for each, so that the review is a reading exercise, not a rebuild.
Example scenarios
These are examples, labelled as such. A centre can take any of them, or bring its own:
- A vendor-onboarding checker that flags missing certifications and drafts the request, with a procurement officer approving each change to the vendor record.
- A service-desk assistant that drafts replies from a knowledge base, with the source of each answer recorded.
- A reconciliation helper that matches two lists of records and sends mismatches to a named reviewer.
Public cohort or team programme
- The public cohort suits individual engineers. It is live online, in a weekday track or a weekend track. AIXL Academy lists the dates and enrolment.
- A team programme is built around one team's own systems. It begins with a short call about the work, and a centre can run several programmes in sequence, one per business unit. You can start one by sending an enquiry.
What a participant leaves with
Each participant finishes with a discovery brief, an architecture decision record, a working build, an evaluation report and a handover note. The handover note names the person who approves the system's actions. In a centre that serves a parent, that note is usually the first document the parent's risk team reads.
Hours and time zones
Hyderabad is on India time, so the public cohort and the team programmes run in the same hours as the centre's working day. A parent in the US or Europe is a different matter. Some programmes run in US Pacific time for US-based teams, and the overlap is set for each programme.
Where to go next
The FDE training hub describes the programmes. For consulting in Hyderabad, the Hyderabad consulting page covers the engagement shapes, and the training for GCCs page covers the centre programme.
Common questions
Who takes the training in Hyderabad?
Engineers and engineering leads in global capability centres and enterprise teams who will build AI systems that a risk team reviews and an owner runs. Hyderabad hosts a large share of India's GCC research and development talent, according to Zinnov.
Can a Hyderabad centre run a programme on its own tools and data?
Yes. A team programme is built on the centre's tools, use cases and data. It ends with a working system the team owns and an assessment of each person's demonstrated skills.
What is the public cohort format?
The cohort is live online, in a weekday track or a weekend track. Dates, timings and enrolment are on the AIXL Academy page.
Does the training cover the state's AI governance expectations?
The programme covers evaluation, approvals and records, which are the practices a governance review asks for. The Telangana AI mission describes governance, ethics and privacy as one of its six pillars.