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Executive GenAI curriculum — boards, portfolios & proof▌

Built for CXO forums and regional GMs who need a defensible narrative, not another market-stat deck. Heavy on decision quality and sequencing—not tool training in isolation.

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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
LinkedIn →Contact →

program objectives

  • Frame a portfolio view: where generative AI changes P&L vs. marginal productivity.
  • Align GC, risk, and BU heads on documentation and review standards before pilots touch customers.
  • Sequence capital & vendor decisions with stage gates and evaluation harnesses.
  • Connect strategy to course-based upskilling so line managers have a path after the offsite.

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

Portfolio lens: where GenAI actually moves the needle

Avoid scattershot pilots; tie to business model and operating leverage.

session outline

  • Segment initiatives by data advantage, workflow embeddability, and compliance surface area.
  • Margin math patterns (cost-of-serve, conversion, cycle time) matched to public case study structures—updated for your region.
  • Board narrative: what ‘good’ looks like at 90 / 180 days.

labs

  • Score 8–12 anonymous initiative ideas and force-rank into a top-3.

beyond-catalog topics (custom)

  • Scenario planning when foundation-model pricing or SLAs shift mid-pilot.
  • Cross-border data strategy for multinational leadership teams (high-level, legal partners join as needed).

Governance without innovation paralysis

Concrete artifacts executives can sign.

session outline

  • Decision rights: who can approve external model use vs. internal retrieval-only stacks.
  • Incident taxonomy and post-mortem template tied to brand/regulatory exposure.

labs

  • Red-team a near-miss incident brief as a tabletop exercise.

beyond-catalog topics (custom)

  • KPI bridges between model eval metrics and business KPIs finance already tracks.

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.

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Mental Fitness for Executives: Beating Burnout

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faq

Will this duplicate our strategy consulting?

No—it’s facilitation to **create internal alignment**; we surface tradeoffs and documentation patterns executives can reuse.

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