The AI Placement Sprint

An 18-week implementation program that transforms ML practitioners into hired professionals — through production projects, LinkedIn automation, and direct access to US founders at funded startups.

📅 18 Weeks · 🎥 18 Live Sessions · 🛠 7 Production Projects · 🚀 200+ Students Placed · 💬 4,200+ Outreach Messages

The Problem

You've completed 3 ML courses. Built 5 Kaggle notebooks. Applied to 100+ jobs. Result: zero interviews.

Your resume gets filtered by ATS. Your GitHub has tutorial projects. When interviewers ask "tell me about a time your model failed in production" — you freeze, because your projects never left Jupyter.

This isn't a skills problem. It's a positioning, access, and portfolio problem.

• Positioning: Your LinkedIn says "ML Enthusiast seeking opportunities." Recruiters scroll past.
• Access: You're applying on job boards. Good jobs never get posted there — they fill through networks and direct outreach.
• Portfolio: Your GitHub has Iris classifiers. 10,000 other people built the same things. Nothing signals production capability.

How It Works — Three Parallel Tracks

Most ML programs focus only on technical skills. This one runs three tracks simultaneously for 18 weeks.

Track 1: Technical Skills

Build 7 guided production-grade projects. Every project follows a 6-phase production framework — from problem definition through deployment and monitoring.

Covers: ML System Design, MLOps, Supervised & Unsupervised Learning, GenAI Hybrid Systems, RAG Pipelines, Kaggle-to-Production Deployment

Track 2: Soft Skills & Positioning

Master LinkedIn positioning, content creation, and the outreach system that gets 12–30% reply rates (industry average is 2–5%).

Covers: LinkedIn Profile Optimization, SBL Outreach System, Cold Email & Multi-Channel, Interview Mastery (STAR + System Design), Persuasion & Sales Psychology

Track 3: Offer Development

Package yourself so hiring managers think "if I don't hire this person, someone else will."

Covers: Irresistible Offer Construction, Value Stack Design, 2-Minute Pitch, Objection Handling, Salary Negotiation

18-Week Roadmap

Weeks 1–2 — Foundations Linear regression, K-Means, GenAI foundations, EDA, Git, Docker. LinkedIn + SBL automation setup. First 200 outreach messages sent.

Weeks 3–5 — Build the Offer Pick 3 target markets. Define dream outcomes. Package and name your offer. Build guarantee and 2-minute pitch. First guided project (OpenClaw AI Agent) deployed.

Weeks 6–8 — Generate Leads LinkedIn authority system live. CRM active. SBL sequences running. Cold email + multi-channel outreach. Projects 2–4 deployed.

Weeks 9–10 — Close Deals Interview mastery. Mock marathon. Projects 5–6 deployed (GenAI Hybrid System, RAG). Discovery call scripts and consulting pricing ready.

Weeks 11–18 — Job + Income Sprint All 7 projects complete. Portfolio polished. Case studies written. 2–4 interviews/week. Warm intros from Ayush's network activated. Target: offer accepted or 5+ founder conversations.

The 7 Production Projects

1. OpenClaw AI Agent — Deploy an autonomous agent on WhatsApp/Telegram with custom skills
2. Predictive Model — Churn prediction / demand forecasting with FastAPI, MLflow, Docker, monitoring
3. Customer Segmentation — Clustering pipeline with interactive dashboard and segment profiling
4. Exploratory Data Analysis — Hypothesis-driven analysis with automated insights and publication-quality report
5. GenAI Hybrid System — 3-tier classifier (Rules → BERT → LLM) with cost optimization and smart routing
6. RAG System — Document Q&A with hybrid search (BM25 + semantic), re-ranking, evaluation framework
7. MLOps: Kaggle → Production — Notebook to production code with testing, Docker, CI/CD, cloud deploy

Every project is guided live by Ayush — architecture decisions in real-time, production starter templates, and a 90-minute rapid prototyping workshop.

Three Income Paths

Full-Time ML Engineering — $60K–$100K USD Funded startups (Seed–Series B) and MNCs. 12–16 weeks to offer.

US Remote Contracts — $1K–$3K/month Monthly retainers with flexibility and USD income.

Freelance Projects — ₹30K–₹2L per project Multiple students recovered program fees within 8 weeks.

Where students have been placed: Google, Microsoft, Pipe, TCS, Infosys, IBM, Lowe's, Amex, AthenaHealth, Datawars, 15+ funded startups

What's Included

• 18 Live Sessions (Sat + Sun, 3 hrs each) — recorded with lifetime access
• 7 Guided Production Projects with starter repos and templates
• SBL LinkedIn Automation (4,200+ messages) + LinkedIn Premium (3 months)
• Personal Network Intros via Ayush's 53K+ connections
• OpenClaw AI Agent — income-generating asset you keep
• 200 pre-qualified leads delivered every Monday (1,600 total)
• Weekly Accountability + Mock Interviews + STAR Bank (10 questions)
• 20 System Design scenarios + 50+ tested prompts
• Salary negotiation and objection handling scripts
• Private Slack with Ayush (10 AM–12 PM IST daily)
• 5-person accountability pods
• Lifetime Alumni Access (200+ placed students, referrals, salary data)