Agentic AI · Product Thinking · Design Thinking

Get Placement Ready
for the AI Era.

A hands-on bootcamp where engineering and management students learn Agentic AI, Product Management, and Design Thinking — then apply all three to build and ship a real AI product. Walk away with a portfolio that stands out in every placement interview.

Register Your College → View Curriculum
14×
Hiring of AI-native engineers in 2026 vs 2025
10:1
Demand–supply gap for GenAI talent in India
53%
Higher salaries for talent with AI skills
Three Pillars

More than a workshop.
A full builder's curriculum.

We combine Agentic AI architecture, Product Management thinking, and Design Thinking — so students don't just build agents, they build products.

PILLAR 01
🤖

Agentic AI

From passive ML consumers to active agent builders. Students master the 7-layer agent anatomy: Input → Brain → Memory → Tools → Guardrails → Evaluations → Output.

PILLAR 02
🎯

Product Management

Jobs-to-be-done frameworks, AI Product Canvas, and MoSCoW prioritisation. Students leave knowing how to pitch an AI product — not just demo one.

PILLAR 03
✏️

Design Thinking

Empathise → Define → Ideate → Prototype → Test, applied to AI agent products. Design the conversation first, then the workflow.

What You Build & Take Away

Leave with a real portfolio.

Every student ships a working agent — not a tutorial, a project you can share with recruiters.

🔬

Day 1 Morning — Guided First Agent

AI agent with 2+ tools. Annotated 7-layer architecture.

🗺️

Day 1 Afternoon — Product Blueprint

AI Product Canvas + User Journey Map for your domain. Documented agent design before building.

⚙️

Day 2 Morning — Custom Agent Build

Full agentic workflow: memory, tools, guardrails, human-in-loop checkpoint, 3 documented test cases.

🚀

Day 2 Afternoon — Pitch-Ready Portfolio

Demo video, 1-page product brief, GitHub/Notion link — shareable with recruiters on day one.

Project Domains

You'll build 1–2 real agents from these use cases.

Curated to mirror real internship and job task formats. The specific agents built are customised based on audience seniority and college objectives.

🎧 Tier 1 Support Triaging Agent
📱 Social Media Content Agent
🛒 Smart Shopping Assistant
📋 Resume Screening Agent
🚨 Incident Response Agent
💰 Personal Finance Coach Agent
💼 Job Application Co-Pilot
🔬 Research Synthesizer Agent
🖥️ Code Review Agent
📊 Data Analyst Agent
📚 Self-Improving Study Coach
Who This Is For

Built for industry & placement readiness.

Curriculum adapts to the year and specialisation of the batch — no one-size-fits-all.

Target Audience

  • Engineering students — Year 1 to Year 4 (syllabus differs by year)
  • Management students seeking AI product skills
  • AI & ML, CSE, IT, ECE, and related branches
  • Students preparing for placements in tech and product roles
  • No prior AI coding experience needed

Outcomes for Institutions

  • Differentiated placement readiness initiative
  • Stronger employer narrative around AI readiness
  • Portfolio-grade project content for students' GitHub/LinkedIn
  • Visible, reportable innovation-focused academic activity
  • Content for website, social media & placement reports
2-Day Curriculum

Every minute is planned & purposeful.

60% of time is hands-on labs and workshops — not passive lectures. Built for the student who wants to actually build, not just watch.

10:0025 min
Kick-Off & Introductions
Interactive
10:2540 min
Agentic AI Architecture: The 7-Layer Model
Concept
11:05115 min
🛠 LAB 1: Build Your First AI Agent (Guided)
Lab
13:0060 min
Lunch + Informal Networking
Break
14:0040 min
Product Management for AI Products
Concept
14:4040 min
Design Thinking for AI Agents
Concept
15:2080 min
🎨 WORKSHOP: AI Product Blueprint (Team Breakout)
Workshop
16:4020 min
Day 1 Wrap + Build Brief for Day 2
Interactive
115m Hands-On Lab 80m Workshop 165m Concept + Interactive 54% Active building time
10:0020 min
Recap + Blueprint Stress-Test
Interactive
10:2040 min
Advanced Agentic Patterns
Concept
11:00120 min
🛠 LAB 2: Build Your Custom Agent (Team Sprint)
Lab
13:0060 min
Lunch + Final Polish
Break
14:0035 min
🎨 WORKSHOP: Product Brief + Demo Script
Workshop
14:3530 min
Cracking AI Product & Engineering Interviews
Interactive
15:0585 min
🎯 DEMO DAY: Ship It
Milestone
16:3030 min
Careers, Portfolio & Next Steps
Interactive
120m Hands-On Lab 35m Workshop 205m Concept + Interactive 43% Active building time
The Faculty

Practitioners who shipped AI products
at scale.

Not academics teaching theory — industry leaders who built, scaled, and shipped real AI products at top companies.

TP
Tej Pratap
Head of Products · Series A B2B AI SaaS Company
  • ★Director's Gold Medallist at IIT Kanpur (2012)
  • ★Ratan Tata Scholar (Top 5) at IIM Ahmedabad (2015)
  • ▸Scaled a B2B AI SaaS company from 0 to $15Mn USD ARR across 6+ Agentic and SaaS products
  • ▸Ex-Amazon Product Leader — led one of the then largest product teams in APAC under India Retail
  • ▸Ex-McKinsey & Company — TMT domain digital transformations
  • ▸Ex-Opera Solutions — Data Scientist, core ML models across industries
IIT Kanpur IIM Ahmedabad Amazon McKinsey
PK
Prem Kiran
ML Lead · Series A AI Healthcare Startup (US)
  • ★B.Tech from IIT Madras
  • ★MBA from IIM Ahmedabad
  • ▸Former technology analyst at Goldman Sachs
  • ▸Currently leading machine learning at a Series A-funded AI healthcare startup focused on the US market
  • ▸Deep expertise in applied ML, healthcare AI, and product strategy
IIT Madras IIM Ahmedabad Goldman Sachs
PM
Priya Modi
Ex-Principal Product Manager · Walmart Labs
  • ★B.Tech from IIT Kanpur
  • ★MBA from INSEAD
  • ▸Product leadership at Flipkart — one of India's largest e-commerce platforms
  • ▸Led product portfolio at Landmark Group across MENA
  • ▸Ex-Principal Product Manager at Walmart Labs — global retail technology at scale
IIT Kanpur INSEAD Flipkart Walmart Labs

* Actual speakers may vary depending on availability. All facilitators are senior industry practitioners with equivalent calibre of credentials.

Register Interest

Bring this bootcamp
to your college.

Session plans, depth, and use cases are customised based on your students' readiness, year, and your institution's placement objectives. Share your details and we'll reach out with a tailored proposal.

  • ✓
    Session plan customised to audience seniority & branch
  • ✓
    1-day or 2-day format available
  • ✓
    Batch size: 40 to 200+ students
  • ✓
    Multiple batches can be scheduled
  • ✓
    Student-funded or T&P-funded models available
  • ✓
    All tools included, zero extra cost for students
  • ✓
    Certificate for every participant
The more context you share, the better we can tailor the session.

We'll respond within 48 hours with a customised proposal.

🎉 Thank you!

We've received your interest. Our team will reach out within 48 hours with a customised proposal for your institution.

For urgent queries, write to contact@aireadinessschool.com