explainx / corporate AI training · T2
Prompt engineering training for corporate teams▌
Patterns, evaluation, and handoffs — so prompts become governed assets, not one-off tricks.
Outcome: Teams ship repeatable prompts with review and measurement — not fragile hero examples.
Prefer the short form first? Jump to contact — no deck required.
Prefer email? Open a pre-filled message in your mail app (yash@explainx.ai).
why this session
Everyone has ‘favorite prompts’ — few organizations have prompt QA. This fixes that.
what your team walks away with
- Prompt patterns for research, writing, analysis, and code-adjacent tasks
- Evaluation and regression habits before prompts reach production
- Libraries and ownership so marketing/ops/engineering stay aligned
- Tie-in to enterprise policies and sensitive data rules
program objectives (aligned curriculum)
These objectives map to the sample curriculum archetype we adapt for similar engagements—yours is customized after discovery.
- 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.
quick contact
book or scope this session
Rough dates, cities, and budget tier are enough to start—most replies same day. Fields marked * are required.
session details
Hands-on labs with your tool stack where permitted; full-day typical for mixed cohorts.
sample agenda
- Where AI moves KPIs in your industry this year
- Prioritizing pilots: data, tools, and ownership
- Governance without paralysis
- Hands-on: leadership-ready prompts and scorecards
- Your 90-day rollout plan — owners and metrics
who this is for
- —Enablement and COE teams
- —Functional power users scaling copilots
- —Engineering partners reviewing prompt pipelines
why explainx.ai
- Workshops and briefings for leaders at Tata, PayPal, Adobe — adapted to your policies and data boundaries
- 160,000+ learners trained across live programs and courses; facilitator-led, not slide-only theory
- Connected to explainx.ai's agent skills catalog and playbooks so teams keep momentum after the session
what enterprise participants emphasize
“We finally left with owners on the pilot — not another awareness deck. Legal and product were in the same room agreeing on what ‘good’ output looks like.”
“The facilitator pushed on failure modes and documentation habits — exactly what our engineering leadership needed before we scale copilots.”
“Compared to vendor demos, this mapped to our channels and compliance vocabulary. We wired follow-on courses the same week.”
Facilitated by Yash Thakker — AI instructor & product leader based in Mumbai, 12+ years building AI products, 160,000+ students across 50+ courses, programs for enterprises including Tata, PayPal, and Fortune 500 teams. MBA (SIMSREE), B.Tech; founder of explainx.ai and product-led AI ventures. yash@explainx.ai
related courses (follow-through)
Step-by-step video on environments, SKILL.md authoring, publishing workflows, and MCP projects—the same curriculum cited in our agent skills and MCP blog guides.
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
Generative AI for Leaders & Business ProfessionalsBecome an AI Powered Business Leader & Professional who is Equipped with knowledge about the Modern Machines
A CEO's Generative AI PlaybookThe CEO's AI Playbook: Governance Frameworks, ROI Evaluation, AI Investment Strategy, and Organizational Readiness for C-Suite Leaders
related pages
faq
Can we customize the examples for our products and your organization?
Yes. The working agenda is adapted to your workflows, risk posture, and tech stack. We use your vocabulary — e.g. credit and KYC for banking, trade and demand for FMCG — so leaders see applicability immediately.
Do you cover governance, data residency, and vendor evaluation?
We address practical governance: data handling, evaluation of outputs, human review, and how to brief legal/compliance. Format: prompt engineering training — interactive, with time for your leaders' questions.
What group size works best in on-site or virtual?
Most corporate runs are 8–24 leaders for discussion depth; larger cohorts use a mix of briefing plus breakouts. We confirm format after a short discovery call.
Is virtual delivery available across India and globally?
Yes — the same modules run in-person (e.g. Mumbai, Bengaluru, Delhi NCR) or live-virtual with timezone-friendly scheduling for distributed leadership teams.
What happens after the session?
Teams get alignment on priorities and owners; we point to curated courses on explainx.ai (generative AI for leaders, change management, domain-specific deep dives) as ongoing follow-through.
What do enterprises say about the facilitation style?
In debriefs, sponsors frequently cite practical scenarios over slide theater, cross-functional attendance that survives Q&A, and next-step clarity — themes that align with feedback patterns seen across 160,000+ learner engagements in live programs and courses.