explainx / curriculum sample

Banking & FS AI curriculum — credit, risk, service, compliance

Vocabulary matches RBI/SEBI-style discussions without offering legal advice: we teach operating patterns for accountable documentation and human review where models touch regulated decisions.

About the Instructor

Yash Thakker

AI Instructor & Product Leader

Yash Thakker has 12+ years of experience building AI products and has taught 160,000+ students across 50+ courses. He facilitates corporate AI training for enterprises including Tata, PayPal, and Fortune 500 teams. Yash holds an MBA from SIMSREE and a B.Tech in Information Technology. Based in Mumbai, he delivers programs globally, specializing in Claude AI, generative AI, and practical AI implementation for regulated industries.

Credentials

  • MBA, SIMSREE (Sydenham Institute of Management Studies)
  • B.Tech, Information Technology, University of Mumbai
  • 12+ years building AI products
  • 160,000+ students trained across 50+ courses

program objectives

  • Map AI features to existing risk taxonomy (credit, market conduct, operational) with clear ownership.
  • Design pilot scopes that satisfy model risk and IT security gates common in banks.
  • Practice escalation when model drift or vendor incidents affect customer-facing journeys.
  • Pair executive sponsors with practitioner exercises that mirror servicing and ops realities—not generic chat demos.

how we deliver

  1. 1

    Discovery call & problem framing

    We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.

  2. 2

    Stakeholder interviews & day-in-the-life context

    Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.

  3. 3

    Curriculum design & artifacts

    Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).

  4. 4

    Engaged, hands-on delivery

    Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.

  5. 5

    Post-session support: documentation & next steps

    Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.

modules

BFSI use-case patterns & control mapping

From RFP to internal memo: how to describe controls without overclaiming.

session outline

  • Representative workflows: origination assistance, servicing summaries, wealth advisory drafting aids.
  • Where retrieval must be grounded vs. where summarization is sufficient.
  • Data classes & residency: customer PII, employee data, and vendor subprocessors.

labs

  • Draft a one-page pilot brief with explicit rollback conditions.

beyond-catalog topics (custom)

  • Credit model vs. LLM orchestration separation patterns often implemented in hybrid architectures.
  • Vendor due diligence questionnaires tailored for Asia-Pacific deployments.

Human oversight & audit trail habits

Behavioral, not checkbox.

session outline

  • Sampling strategies for QA reviewers when throughput is high.
  • Versioned prompt libraries and change control expectations.

labs

  • Peer review queue simulation with deliberate ‘bad’ outputs.

beyond-catalog topics (custom)

  • Alignment with internal audit timelines for new GenAI features at different materiality levels.

quick contact

Scope or pilot this curriculum

Share sponsor, headcount, and cities — we reply with timing and options. Rough budget helps us match the right depth.

related on-demand courses

faq

Do you advise on RBI / specific rule text?

We facilitate with your compliance partners; we don’t provide regulatory legal opinions.

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