AI Career Switch

Who this is for

• People currently between roles who want the gap to become a growth story
• Career switchers targeting AI-adjacent roles in their industry
• Professionals whose last role was disrupted by automation or layoffs
• Returnees after a career break who want to re-enter with current, in-demand skills

What you'll walk away with

• A target-role skill map and a weekly execution plan — clarity instead of scattered applying
• 2 proof-of-work AI projects tailored to the exact roles you're applying for
• An AI-optimized resume and LinkedIn profile, plus prep for the AI questions interviewers now ask
• A repeatable, AI-powered job-search system — targeting, applications, and follow-ups that run every week

Baseline toolkit

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

• Claude Cowork — Research roles and run a structured application workflow.
• Claude Code — Build proof-of-work projects aligned to target roles.
• Claude Design — Polish portfolios, case studies, and professional visuals.
• Codex — Ship credible technical projects and iterate quickly.
• Ollama — Add open-source and local-model experience to your toolkit.
• GitHub — Show employers the work behind your new skills.

How a typical four weeks runs

• Week 1: Target role & gap analysis — We define the roles you're going after, decode what those job posts actually require, and map the gap between that and where you are.
• Week 2: Skill sprint — A focused sprint on the highest-impact AI skills for your target role — learned by doing, not by watching.
• Week 3: Proof-of-work project — We build a project that speaks directly to your target employers — the thing that makes your application impossible to skim past.
• Week 4: Positioning, applications, interviews — Resume and LinkedIn rewritten around your new proof of work, an application system set up, and interview prep for AI-era questions.

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 — ₹16,999 for 4 live 1:1 sessions over 4 weeks (≈ ₹4,250/week). 4 × 60-min 1:1 sessions. One focused goal, shipped in a month.
• 8-Week Builder — ₹23,499 for 8 live 1:1 sessions over 8 weeks (≈ ₹2,937/week). 8 × 60-min 1:1 sessions. Second proof-of-work project. Mock interview with detailed feedback.
• 12-Week Transformation — ₹29,499 for 12 live 1:1 sessions over 12 weeks (≈ ₹2,458/week). 12 × 60-min 1:1 sessions. Full application engine running weekly. Salary negotiation & offer-stage guidance. 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

I've been out of work for a while. Is that a problem?

No — it's the starting point, not a disqualifier. The program is designed to convert the gap into a visible growth story: skills learned, projects shipped, and a narrative that interviews well.

Will this get me a job?

No honest mentor can guarantee a job. What this program guarantees is the work that gets people hired: in-demand skills, proof-of-work projects, a sharp profile, and a search system you run weekly — plus a mentor keeping you accountable through it.

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.