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APPLIED AI FELLOWSHIP

Frequently Asked Questions

Everything you need to know before applying.

About the Fellowship

Who is the Applied AI Fellowship for?

Working professionals who need to operate confidently in an AI-enabled world. We have five role-specific tracks: Executive (T1), AI Product (T2), Delivery Leader (T3), AI Engineer (T4), and AI Architect (T5). Each track is designed for a different professional context — no single course covers everyone.

What makes this different from other AI courses?

Three things: governance-first (we teach you how to deploy safely, not just how to prompt), vendor-neutral (no affiliation with any model provider), and role-specific (your track covers only what is directly relevant to your job). Most AI training teaches prompting. We teach architecture, governance, observability, and engineering.

Is this a certification programme?

The focus is practical capability, not credentials. You will leave with frameworks, tools, and hands-on experience that apply immediately to your work. A completion certificate is issued, but the value is in what you can build and decide — not the certificate itself.

Do you offer company or enterprise enrolment?

Yes. We run private enterprise cohorts for organisations that want to upskill a team together. Enterprise cohorts can be customised to your industry context. Contact us to discuss cohort sizing and scheduling.

Tracks & Prerequisites

How do I choose the right track?

Match your track to your role: T1 for executives and board members, T2 for product leaders, T3 for delivery and programme managers, T4 for software engineers, T5 for architects. If you are unsure, select "Not sure — recommend for me" on the application form and we will advise during the interview.

Do I need a technical background?

It depends on the track. T1–T3 require no coding knowledge — they are designed for non-technical professionals. T4 requires software engineering experience (Python or equivalent). T5 requires senior engineering or architecture experience with strong systems thinking.

How long is each track?

T1 (Executive) and T2 (AI Product) are 4 weeks. T3 (Delivery Leader) is 8 weeks. T4 (AI Engineer) is 10 weeks. T5 (AI Architect) is 12 weeks. All tracks involve structured learning plus applied project work.

Format & Schedule

Is it online or in-person?

Both. We run in-person cohorts in Singapore and online cohorts for participants globally. You can apply for either preference — or "Either" if flexible. In-person cohorts are held in Bukit Timah, Singapore.

When is the next cohort?

Cohort dates are released to applicants after the interview stage. Apply now and we will confirm availability and upcoming cohort dates during your 20-minute introductory call.

How much time commitment is required per week?

Expect 6–10 hours per week across structured sessions and applied project work. The shorter tracks (T1, T2) are more intensive per week; the longer tracks (T4, T5) are paced to allow deeper applied work alongside your job.

Pricing & Application

How much does the Fellowship cost?

Pricing is shared during the application process. It varies by track length and cohort type (individual vs enterprise). Contact us or apply directly and we will discuss investment details during the interview call.

What is the application process?

Three steps: (1) Submit a short application form with your role, track interest, and what you want to achieve. (2) A 20-minute call with the programme director to confirm fit and cohort placement. (3) Receive a formal offer with onboarding materials before Day 1.

Can my employer sponsor my enrolment?

Yes. Many participants enrol on employer sponsorship or professional development budgets. We can provide an invoice addressed to your organisation and a programme summary suitable for internal approval.