AI Edge for Working Professionals

Who this is for

• Mid-career professionals — IT and non-IT — whose roles are being reshaped by AI
• Managers and team leads who need real AI literacy, not buzzwords
• Specialists (marketing, finance, HR, operations, legal) who want AI leverage in their exact workflow
• Anyone who wants to be the 'AI person' at work instead of worrying about being replaced by one

What you'll walk away with

• An AI-augmented daily workflow that saves you 5+ hours a week
• 1–2 working automations or AI agents built for your actual job — not demo examples
• The fluency to evaluate AI tools and lead adoption conversations on your team
• A visible 'go-to AI person' positioning at work, backed by things you've actually built

Baseline toolkit

Tools form a baseline, not a fixed syllabus — the toolkit is customised around your goals, experience, device, and budget.

• Claude Cowork — Handle research, documents, and multi-step knowledge work.
• Claude Code — Create scripts and internal tools for repetitive work.
• Claude Design — Produce clearer presentations, concepts, and visual deliverables.
• Codex — Build and maintain practical workplace automations.
• n8n — Connect apps and automate recurring workflows with an open-source platform.
• Ollama — Explore private, local AI workflows when the use case calls for them.

How a typical four weeks runs

• Week 1: Audit your role, find the leverage — We break down your week task by task and find where AI saves you the most time — your personal leverage map.
• Week 2: Your personal AI toolkit — Set up and master the specific tools for your role, with prompting patterns for your real deliverables — emails, reports, analysis, content.
• Week 3: Build your automation — We build a real automation or AI agent for your highest-leverage task, step by step, in your actual work context.
• Week 4: Deploy & present it internally — Ship your automation into daily use and package the win — how to present it to your manager or team and own the AI conversation.

Included in every tier

• Weekly live 1:1 sessions (60 min) with Arthi — no recordings, no batch classes
• A personalized roadmap built around your goals in session one
• WhatsApp support between sessions for questions and unblocking
• Session notes, resources, and tool recommendations after every call
• Access to the private AI community
• Flexible scheduling — book each session when it suits you via Calendly
• Certificate of completion

Pricing

• 4-Week Sprint — ₹14,999 for 4 live 1:1 sessions over 4 weeks (≈ ₹3,750/week). 4 × 60-min 1:1 sessions. One focused goal, shipped in a month.
• 8-Week Builder — ₹26,999 for 8 live 1:1 sessions over 8 weeks (≈ ₹3,375/week). 8 × 60-min 1:1 sessions. Multiple automations across your workflow. AI adoption playbook for your team.
• 12-Week Transformation — ₹36,999 for 12 live 1:1 sessions over 12 weeks (≈ ₹3,083/week). 12 × 60-min 1:1 sessions. A full AI-augmented operating system for your role. Internal presentation deck reviewed together. Capstone project reviewed end-to-end. LinkedIn recommendation from Arthi on completion.

Payment is in INR via Razorpay. Full refund before your first session; pro-rata refunds after.

Frequently asked questions

My company hasn't approved any AI tools. Is this still useful?

Yes — we work within your constraints. Part of the mentorship is learning what's safe to use with work data, what isn't, and how to make the case for tools internally. Many mentees end up leading that approval conversation.

I work long hours. How much time does this need outside sessions?

The program is built for busy schedules: one 60-minute session a week plus 1–2 hours of applying it to your real work — which usually pays itself back in time saved within the first few weeks.

How is this different from an online course?

There are no pre-recorded lectures. Every session is a live 1:1 working session with Arthi, built around your goals, your pace, and your projects. You're not watching — you're building, with a mentor beside you.

How does scheduling work?

After you enroll, you get a Calendly link to book your sessions. You choose the day and time that works for you each week — mornings, evenings, or weekends. If a week gets busy, just reschedule.

Which timeline should I pick — 4, 8, or 12 weeks?

4 weeks is a focused sprint on one clear goal. 8 weeks gives room for deeper projects and iteration. 12 weeks is the full transformation — multiple projects, a capstone, and time to build real momentum. Not sure? Start with 4 weeks; you can always extend.

Do I need any technical background?

No. Every track starts from wherever you are. If you can use a browser, you can do this — the roadmap is personalized to your starting point.

What tools do I need? Are they paid?

A laptop and internet connection. Claude Code, Claude Cowork, Claude Design, Codex, Ollama, and other open-source or no-code tools form a baseline — not a fixed syllabus. We customize the toolkit around your goals, experience, device, and budget, and work with free tiers wherever practical. No paid subscription is required unless you choose it.

Is there a refund policy?

Full refund if you cancel before your first session. After that, unused weeks are refunded on a pro-rata basis — no questions asked.

Can I join from outside India?

Yes — all sessions are online and scheduling is flexible across time zones. Payment is in INR via Razorpay.

What mentees say

The class was very exciting and interactive. Arthi mam did a great job at delivering things clearly. I was able to learn many new things through this session.

I am a healthcare professional with no knowledge about AI. I was always scared to explore AI because it is always portrayed as a huge thing. A one-on-one session with Arthi was eye-opening for me — useful, and it gave hope that even a person with zero knowledge about AI can start.

Anybody — I already do. You broke down the fundamentals so well that I left feeling like an expert.

Before this workshop I'd never touched an API. Four hours later I had a voice agent replying to me in the browser. I gave it a 10 out of 10.

I walked in not knowing what a function tool was. I walked out having registered one myself and watched Jarvis call it live.

She made something genuinely complex feel completely approachable without dumbing it down. Confident I can build on this now.

I came in at a 1 on confidence to build AI agents. I left at a 5. The hands-on format meant I was never just watching.

The pacing was exactly right. The agent.py deep dive was the best part. I finally understand how LLMs connect to real-world tools.