/ 00 — AI training for non-technical professionals · est. 2026
Practical AI training to use AI on your real work — not demos
A hands-on, LLM-agnostic AI course for non-technical professionals across HR, Finance, Operations, Sales, Digital Marketing, Product, and UI/UX. Choose self-paced or a live cohort. Learn the skill of briefing AI well — and apply it across Claude, ChatGPT, Gemini, or whichever model your company already uses. No coding, no theory.
/ TL;DR
What is paarsh.ai / learn?
paarsh.ai / learn is a practical AI training programme based in Pune, India, that teaches non-technical working professionals — in HR, Finance, Operations, Sales, Digital Marketing, Product Management, and UI/UX Design — to use AI on their actual day-to-day work. The programme is LLM-agnostic: you learn the underlying skill of briefing AI well, and apply it across Claude, ChatGPT, Gemini, or any modern model your company already uses. It is offered in two modes — self-paced and a live cohort of under 25 participants — with identical curriculum. Built and taught by Vikas Tambde, who has 22 years of experience in enterprise software and engineering management across the US and India. No coding is required.
- What it is
- Hands-on, LLM-agnostic AI training programme for non-technical working professionals
- Who teaches it
- Vikas Tambde — 22 years in enterprise software, engineering management & operations
- Who it's for
- HR, Finance, Operations, Sales, Digital Marketing, Product Management, and UI/UX professionals (no coding background)
- Format
- Self-paced LMS OR live cohort (under 25 people)
- Duration
- Foundation: 4 weeks, 8 sessions · Advanced: 6 weeks, 12 sessions
- Models taught
- Model-agnostic — works with Claude, ChatGPT, Gemini, or any modern LLM. Plus Zapier, n8n, Google Sheets.
- Based in
- Pune, Maharashtra, India — open to participants worldwide
- Languages
- English (with Hindi used freely when helpful)
- Foundation & advanced courses
- 4–8 weeks
- Live sessions per cohort
- 8–12
- People per cohort
- <25
- Across 7 specialist functions
- 7 tracks
The method
The Brief a Junior framework — the prompt engineering method you'll learn in week one
Every prompt, every task, every session uses the same mental model. Learn it once, apply it everywhere — across HR, Finance, Operations, Sales, Digital Marketing, Product Management, and UI/UX work — and across any modern LLM (Claude, ChatGPT, Gemini).
- Context
- Who you are, who the output is for, what the situation is. Without this, every answer is generic.
- Task
- The specific thing you need done. Not 'make this better.' What, exactly, do you need?
- Example
- A sample of 'good' from your own work. This is what makes AI sound like your company, not a template.
- Constraints
- Word limits, banned phrases, format, tone. The guardrails that turn a draft into something you'd actually send.
The tracks
Seven AI training tracks — HR, Finance, Operations, Sales, Digital Marketing, Product, and UI/UX
Every cohort is built for one audience. You'll work on real tasks from your actual desk — and the skills transfer across Claude, ChatGPT, Gemini, or whichever model your company already uses.
HR & Recruiting AI training track
Write JDs that sound like your company. Screen candidates in minutes. Build onboarding kits that actually help.
Real tasks you'll work on
- JD writing & rewriting
- Candidate screening & outreach
- Policy FAQs for new hires
- Interview question generation
- Onboarding automation
// CURRICULUM
Two AI courses. Foundation and Advanced. Start where you are.
The Foundation gets you using AI daily. The Advanced gets you building systems that run without you. Same content whether you go self-paced or cohort.
/ 01 — FOUNDATION
AI Creator
4 weeks · 8 sessions · 45 min each · Universal across all 7 tracks · LLM-agnostic
Go from 'I tried ChatGPT once' to 'I use AI on real work every day.' Works with Claude, ChatGPT, or Gemini — whichever your company uses. No prerequisites.
Self-study
₹7,999+ 18% GST (₹9,438.82 total)
Live cohort
₹11,999+ 18% GST (₹14,158.82 total)
Same price for every track
Pre-cohort setup
Pre-cohort: Project workspace setup on your chosen LLM (Claude, ChatGPT, or Gemini) with 3 knowledge files — role context, tone guide, work samples
8 Sessions — Foundation course syllabus
- Session 1 — First real win: ship something useful in session one
- Session 2 — The framework: Brief a Junior (Context, Task, Example, Constraints)
- Session 3 — Tone matching: make AI sound like you, not a template
- Session 4 — Working with documents: drafts, summaries, rewrites
- Session 5 — Sensitive situations: privacy, data limits, what not to send
- Session 6 — Judgment & hallucinations: when to trust, when to verify
- Session 7 — Personal workflow: building your prompt library and Project workspace (Claude, ChatGPT, or Gemini)
- Session 8 — Showcase: present your personal AI workflow to the group
Deliverable
Personal AI workflow document + prompt library tailored to your function
Apply for Foundation/ 02 — ADVANCED
AI Systems Builder
6 weeks · 12 sessions × 60 min · 7 specialist tracks · LLM-agnostic
Build two real AI systems that run pieces of your job without you. Ship them. Document them.
Requires Foundation completion or equivalent daily AI use
Specialist Tracks
- Recruiting Copilot — JDs, screening notes, outreach in your voice
- Candidate Pipeline Dashboard (Google or Microsoft)
- Onboarding Workflow (Zapier or n8n)
- Policy Update Assistant
- Pulse Survey Analyzer
Deliverable
2 shipped projects + System Card documentation for each
// SELF-PACED vs COHORT
Self-paced vs live cohort: the content is identical. The experience isn't.
Every lesson, prompt, and framework is in both modes. The cohort just adds a teacher and a team around the same material.
| Feature | Self-Paced | Live Cohort |
|---|---|---|
| All curriculum sessions & exercises | Included in self-paced | Included in live cohort |
| Prompt library (30+ role-specific) | Included in self-paced | Included in live cohort |
| Pre-configured Project files (Claude / ChatGPT / Gemini) | Included in self-paced | Included in live cohort |
| Progress tracking & session notes | Included in self-paced | Included in live cohort |
| Lifetime content access & updates | Included in self-paced | Included in live cohort |
| Start anytime, go at your pace | Included in self-paced | Not included in live cohort |
| Live sessions with Vikas | Not included in self-paced | Included in live cohort |
| Real-time feedback on your work | Not included in self-paced | Included in live cohort |
| Weekly office hours | Not included in self-paced | Included in live cohort |
| Private WhatsApp group | Not included in self-paced | Included in live cohort |
| Peer accountability & live practice | Not included in self-paced | Included in live cohort |
| Showcase session — present your work | Not included in self-paced | Included in live cohort |
↑ Rows above the line: identical in both modes. Rows below: cohort only.
Honest fit check
Who this AI training is for — and who it isn't
This is for you if…
- You work in HR, Finance, Operations, Sales, Digital Marketing, Product, or UI/UX — at any level
- You've tried AI a few times and felt like you were missing something
- You want to use AI on your actual work, not on demo prompts
- You're fine learning a skill that works across Claude, ChatGPT, or Gemini — not loyal to one tool
- You can commit 3–4 hours per week for 4 weeks
- You're willing to bring real tasks from your own desk
- You want a small group, not a 500-person webinar
This isn't for you if…
- You want a certificate for your LinkedIn, not a real skill
- You're looking for coding or developer-level AI training
- You want theory, frameworks, and slides about the future of AI
- You want a deep dive into one specific model's UI — we teach the underlying skill, not button locations
- You can't commit to attending live sessions twice a week (if you choose cohort mode)
- You want tips and tricks, not a practice you can maintain
From the cohorts
What past cohort participants say about the AI training
I used to spend 3 hours every month writing variance commentary. Now it takes 30 minutes, and it sounds more like our CFO than what I was writing manually.
The 'Brief a Junior' framework changed how I think about delegation, not just AI. I brief my actual team better now too.
I finally wrote the 12 SOPs I'd been putting off for a year. Not because I had more time — because the friction dropped to near zero.
About the instructor
Vikas Tambde
Founder & Lead Instructor, paarsh.ai
22 years in enterprise software, engineering management, and operations. Built and run engineering organisations across the US and India. Set up two Global Capability Centres from scratch. Returned to India six years ago after 19 years in the US.
I don't teach AI theory. I sit with professionals — one function at a time — and show them how to use AI on the actual work sitting in their inbox. The shift from "I tried it once" to "I use it every day" almost always comes down to one thing: learning to brief AI like a junior colleague, not query it like a search engine.
// FAQ
Frequently asked questions about the paarsh.ai/learn AI training — before you apply
Modes & Format
The curriculum is identical. Self-paced gives you LMS access to start anytime, work through sessions at your own speed, and use all the prompt libraries and Claude Project files. Cohort adds live sessions with Vikas, real-time feedback on your actual work, weekly office hours, a private WhatsApp group, and a showcase session at the end. The content is the same — the experience around it is different.
Each week has two live sessions of 45–60 minutes each, scheduled in the evening (IST). Between sessions, you'll have one short practice task — usually 20–30 minutes — using a real work document you bring from your desk. There's no homework in the traditional sense; the practice is the point.
Yes. Every session is recorded and available to cohort members for 90 days. That said, live attendance matters — most of the learning happens in the room, not the replay.
Under 25 people per cohort. The sessions only work if there's enough time to go through real examples from participants.
English, with Hindi used freely when it helps explain something better. The working language is English but there's no formality about it.
Prerequisites
None. The Foundation course is designed specifically for people with no coding background who have only casually experimented with AI tools. If you can use email and Excel, you have all the technical skill required.
The programme is LLM-agnostic — the skill you learn (briefing AI well) works identically across Claude, ChatGPT, and Gemini. We'll demonstrate examples on whichever model fits the task, and you can follow along on the model your company already pays for. A paid subscription to any one major LLM is recommended. The Advanced course also covers Zapier, n8n, Google Sheets, and Apps Script, but no coding is involved.
Primarily yes, but we accept applicants with equivalent experience — people who use AI daily in their work and can demonstrate that. If you're unsure whether you qualify, apply and tell us what you're already doing. We'll be honest.
Pricing & Teams
Founding pricing is for the first cohort or first batch of self-paced access. It's lower because you're helping us refine the programme and your feedback shapes future cohorts. Standard pricing applies once founding seats are filled.
Yes. Teams of 3 or more get 20% off per seat on Cohort mode. If you want to enrol a group from the same organisation, reach out directly at hello@paarsh.ai. We've run cohorts for entire departments.
If you apply and decide to withdraw before the cohort starts, we offer a full refund. Once sessions begin, we don't offer refunds — but we'll work with you to find a solution if something comes up.
After completion
A personal AI workflow document specific to your role (built during the course), a prompt library tailored to your function, and access to the alumni community. Advanced graduates also ship two documented AI systems. There's no formal certificate — the output is the skill, not the credential.
Yes. All graduates join a private community where Vikas is active. New prompts, updated techniques, and occasional live Q&A sessions are shared there. Access is ongoing.
Ready to stop watching demos and start doing real work?
Self-paced or live cohort — both start with the same first step. Applications take 5 minutes. Vikas reads every one personally and responds within 2 working days.
// FOR TECHNICAL LEARNERS — AI ENGINEERING TRACK
AI Engineering School. Build the models, not just use them.
Six core tracks and six electives for engineers — from the maths behind machine learning to running LLM platforms in production. Every core track ends with a real project and a track gate.
Core tracks
/ MLFCore
Math & Machine Learning Foundations
5 modules · 60 hours
The linear algebra, calculus, probability and statistics you need to read papers and debug models, plus the classical ML that solves most tabular business problems: supervised learning, leakage-free validation, cost-based thresholds, calibration, clustering and forecasting. Ends with an operations-analytics project and a track gate.
₹14,999 + GST$249
/ DLCore
Deep Learning
6 modules · 70 hours
Build neural networks and a tiny autograd engine from scratch, then train reliably in PyTorch: optimisers, normalisation, a systematic debugging recipe, CNNs, attention and transformers, and fine-tuning with Hugging Face. Ends with a three-way model showdown project and a track gate.
₹19,999 + GST$329
/ NLPCore
NLP & Language Models from First Principles
6 modules · 70 hours
How language models are built: tokenisation (train your own BPE), neural LMs and decoding, a GPT built from scratch, pretraining data and scaling laws, post-training with SFT and DPO, and rigorous LM evaluation. Ends with a tiny end-to-end LM project and a track gate.
₹22,999 + GST$379
/ CVCore
Computer Vision
5 modules · 60 hours
Vision systems that work on real cameras, lighting and parts: image data and labelling, production-grade classification, detection and segmentation, vision–language foundation models, document AI, video and deployment, with licence review built in. Ends with a line-inspection project and a track gate.
₹19,999 + GST$329
/ MLECore
ML Engineering & MLOps
7 modules · 80 hours
Turn models into reliable products: ML systems design, validated and versioned data pipelines, experiment tracking and registries, orchestrated retraining with evaluation gates, safe serving, drift monitoring and ML testing. Ends with a production risk-platform project and a track gate.
₹24,999 + GST$399
/ LLMOCore
LLMOps & AI Platform Engineering
6 modules · 64 hours
Operate LLM systems at organisational scale: multi-tenant gateways and policy routing, prompt/config registries and shared eval services, inference engineering (KV cache, batching, quantisation, speculative decoding), GPU capacity and unit economics, fine-tuning operations and governance ops. Ends with an AI-platform project and a track gate.
₹24,999 + GST$399
Electives
/ AGTElective
Advanced Agentic AI — Research Track
3 modules · 24 hours
Reasoning and inference-time compute, agent benchmarks and reliability metrics, and agent safety, sandboxing and multi-agent dynamics. Ends with a research-style reproduction report.
₹8,999 + GST$159
/ DEElective
Data Engineering for AI
4 modules · 32 hours
Data modelling and lakehouse storage, batch pipelines with dbt and orchestration, streaming and change data capture, and data contracts, quality and governance for AI. Ends with an analytics-foundation project.
₹9,999 + GST$179
/ EDGEElective
Efficient ML & Edge AI
4 modules · 32 hours
Efficiency fundamentals and profiling, quantisation, pruning and distillation, deployment runtimes (ONNX Runtime, TensorRT, LiteRT, ExecuTorch), and TinyML and on-device LLMs. Ends with an edge inspection or sensor-anomaly device project.
₹9,999 + GST$179
/ GENElective
Generative Models: Diffusion & Multimodal
4 modules · 32 hours
VAEs, GANs, diffusion and flow matching, latent diffusion with conditioning and LoRA fine-tuning, and responsible generative media (licensing, provenance, disclosure). Ends with a product-catalogue image generator project.
₹9,999 + GST$179
/ RLElective
Reinforcement Learning & Post-Training
4 modules · 32 hours
MDPs, bandits, value-based and policy-gradient methods, PPO, RL for language models (RLHF, verifiable rewards, GRPO), and offline evaluation and safety. Ends with a contextual-bandit project.
₹9,999 + GST$179
/ GOVElective
Responsible AI, Governance & Risk
4 modules · 28 hours
NIST AI RMF and ISO/IEC 42001, regulation across the EU and India, fairness, transparency and human oversight in practice, and running an AI governance program. Ends with an AI management-system design project. Orientation only, not legal advice.
₹8,999 + GST$159
Prices exclusive of 18% GST. USD prices for international learners.
Register for AI Engineering