explainx / curriculum sample

Prompt engineering curriculum — libraries, QA, ownership▌

Treat prompts as versioned assets. This curriculum is heavy on QA loops and ownership across marketing, ops, and engineering—not ‘magic phrases’ lists.

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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

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program objectives

Structure prompts by task archetype with shared schemas your org can lint.
Design regression sets that catch silent behavior drift when models update.
Clarify ownership: who approves changes that touch customer communications?
Tie prompt performance to funnel metrics without overfitting anecdotal wins.

how we deliver

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
Stakeholder interviews & day-in-the-life context
Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.
3
Curriculum design & artifacts
Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).
4
Engaged, hands-on delivery
Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.
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

Pattern libraries & change control

Reduce one-off hero prompts living in private slacks.

session outline

Naming conventions, folders, and promotion from sandbox → production.
Review gates when prompts touch regulated language.

labs

Convert three ‘favorite prompts’ into reviewed templates with variables.

beyond-catalog topics (custom)

CI-style checks for forbidden claims in consumer-facing copy.

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

Prompt Engineering: Getting Future Ready (1000+ Prompts inc)

Master Prompt Engineering: 1000+ Ready-to-Use Prompts, Zero-Shot, Few-Shot, Chain-of-Thought, XML Tagging, and Advanced Techniques for Every Domain

Become a 10x Product Manager with ChatGPT & Generative AI

Apply AI Across the Full PM Lifecycle: Automate User Research, Spec Writing, Roadmapping, and Stakeholder Communication with ChatGPT

Generative AI for Leaders & Business Professionals

Become an AI Powered Business Leader & Professional who is Equipped with knowledge about the Modern Machines

faq

Do you cover multilingual prompt testing?

Yes—especially for India + SEA rollouts with code-mixed inputs; we layer manual spot checks with automated sampling plans.

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