Last checked 2026-11-02

Forward-deployed AI engineering training in Singapore

Singapore teams learn forward-deployed AI engineering best on their own systems. The method is discovery, architecture, integration and handover, and each stage is assessed against a written standard. Participants leave with a working system, a set of recorded decisions and an assessment of their own judgement, not a certificate for attendance.

I am Mayur Patil, based in Nashik, India. I run the public cohort and team programmes, and I am in Singapore often for engagements.

Who takes the training in Singapore

The training suits engineers who will build agents that a risk team must review, and engineering leaders who need a team that can take a system from discovery to a running product. Banks and enterprises use it when a pilot has been shown to a board and nobody yet knows how to build the next one.

What the programme builds

Participants build one realistic system across the programme. The work follows four stages. Discovery sets the outcome, the owner and the evidence. Architecture records the decisions, including the options rejected. Integration connects the system to real records and tests it against an agreed evaluation set. Handover gives a named owner a runbook and the decisions behind the system.

The four gates describe how each stage is assessed. The harness engineering term describes the parts around the model that decide whether an agent is reliable, and the IMDA agentic AI framework term describes the governance dimensions that a risk team will check.

Example scenarios

These scenarios are examples, labelled as such. A team may build any of them, or its own:

  • A compliance-support agent that drafts first answers to internal policy questions and routes exceptions to a named reviewer.
  • A procurement agent that checks supplier documents against a checklist and records each check.
  • A customer-operations agent that prepares a case summary and needs approval before it changes a record.

The public cohort or your team

Public cohortTeam programme
WhoIndividual engineersOne team, on its own work
FormatLive online, weekday-evening and Saturday and Sunday tracksBuilt around a Singapore team's own systems and risk reviews
OutputA working system and an assessment for each participantA working system on the team's data, and a handover
Where to enrolAIXL AcademySend an enquiry

Gates and artefacts

Every participant produces a discovery brief, an architecture decision record, a working build, an evaluation report and a handover note. In Singapore, the evaluation report is written so that a risk team can read it against the IMDA testing steps.

Time zones

Singapore is 2 hours and 30 minutes ahead of India. Team programmes can run in Singapore hours, with a short overlap in the Indian afternoon if needed. The public cohort runs in India time, so participants in Singapore should check the times on the AIXL Academy page before they enrol. I run back-to-back full-day corporate trainings, mostly in IST, and some programmes in US Pacific time for teams in the Bay Area.

Relevant work

The engagement with Crédit Agricole CIB, Singapore, is the one I can place in Singapore. It is listed on the AIXL Academy showcase. Tredence and Persistent are among the other organisations I have worked with.

Where to go next

The FDE training hub describes the programmes. For consulting in Singapore, the Singapore consulting page explains how an engagement runs there.

Send an enquiry

Common questions

Who is the training for in Singapore?

Engineers and engineering leaders in banks, enterprises and services firms who need to build AI systems that a risk team can review and an owner can run.

Can a Singapore team run a programme on its own tools and data?

Yes. A team programme is built on the team's tools, use cases and data. It ends with the team's own working system and an assessment of what each person demonstrated.

What is the public cohort format?

The cohort is live online, with a weekday-evening track and a Saturday and Sunday track. Dates and timings are on the AIXL Academy page.

Which time zone is the training run in?

The public cohort runs in India time. Singapore is 2 hours and 30 minutes ahead of India, so a session that starts in the Indian evening finishes late in Singapore. Team programmes are scheduled in the team's own hours.

Sources

  1. AIXL Academy, forward-deployed AI engineering cohort
  2. AIXL Academy showcase
  3. IMDA, Model AI Governance Framework for Agentic AI, version 1.5 (20 May 2026)

Enquiry

Tell me about the work

The use case, where it is blocked and who is involved. I reply with a suggested starting point. Or email hello@mayurpatil.ai.

Goes to my CRM and my inbox. No newsletter, no sharing. See Privacy (opens in a new tab).

Close