Corporate AI Training

We Build AI Teams for the Companies That Build India

Custom AI training programs for enterprise engineering teams. Built by SquareShift — 15 years of Fortune 500 AI delivery. 80% hands-on. Real projects. Shipped code.

Your engineering talent already knows how to build. They need to learn how to build with AI. RocketOne trains your team on LLMs, RAG, fine-tuning, and production AI systems — using your codebase, your stack, your product roadmap. No generic courseware. No theoretical exercises. Your team ships real AI features before the program ends.

Get a Custom Training Plan Download AI Skills Gap Report
Broadcom Oracle Amazon EY MetLife

200K+ Engineers Trained | Google Cloud Premier Partner | Fortune 500 Delivery Credentials

Elango, CTO of RocketOne, in a modern corporate office — leading AI-powered enterprise training transformation
56% Salary Premium for AI Engineers

AI-skilled engineers command 56% higher compensation. Upskilling internal talent costs a fraction of external hiring.

PwC AI Skills Report 2024

40% Faster Feature Delivery

Teams with AI/ML practices ship features 40% faster. One AI-skilled senior engineer matches the output of five juniors.

McKinsey AI Impact Study 2024

592% 3-Year ROI on Training

Organizations that upskill 50%+ of engineering staff achieve 592% return on training investment within three years.

Udemy/IDC Skills Gap Report 2024

Three Programs. One AI-Native Team.

How fast do you need to move?

Fastest Track

AI Sprint for Teams

2 Weeks | 8-20 Engineers | Rs.3L-5L

Ship your first AI feature in 14 days. Intensive, project-based training on your product roadmap.

Start With a Sprint
Recommended

AI for Software Engineering Teams

Transform Your Engineering Team Into AI-Native Builders

8 Weeks | 15-40 Engineers | Rs.8L-15L

The flagship program. Over eight weeks, your entire engineering team — from junior engineers to architects — learns to integrate AI into every stage of development. Curriculum is custom-built around your tech stack. Teams work on real projects sourced from your product roadmap. By week eight, 3-5 AI features are live and your team has embedded AI practices into daily engineering work. 80% hands-on coding. 20% instruction.

  • 3-5 production AI features shipped during the program
  • Reusable AI patterns and playbooks documented for your org
  • 12 weeks of post-program support + 6 months instructor access
Plan Your 8-Week Program
Full Transformation

Custom Enterprise Program

12-16 Weeks | 50-200+ Engineers | Rs.15L-50L+

Multi-cohort, fully custom to your stack. On-site and hybrid delivery with executive ROI dashboards.

Includes: AI Leadership Track for Engineering Managers

Discuss Enterprise Transformation

Who Teaches Your Team

SquareShift Practitioners

The same engineers who ship production AI for Fortune 500 clients. They train your team using the same methods, patterns, and tools they use every day.

Professional headshot of an Indian male engineer in his early 30s wearing a dark collared shirt. Confident, approachable expression.

Featured Practitioner

Vikram Rao

Senior AI Engineer, SquareShift

"Deployed an AI-powered anomaly detection system for Broadcom last quarter. Now I teach you how to build production AI from day one."

Deployed an AI-powered anomaly detection system for Broadcom. Builds production AI systems for Fortune 500 clients across cloud-native architectures.

10+ Enterprise AI Projects Broadcom Oracle
Professional headshot of an Indian female engineer in her early 30s wearing a teal top. Direct gaze, composed expression.

Priya Menon

Lead Platform Engineer

Shipped a multi-agent pipeline for EY that processes thousands of documents. Specialist in AI agents, MLOps, and multi-agent systems.

Professional headshot of a senior Indian male engineer in his early 40s with slightly graying temples, wearing a charcoal shirt. Warm, authoritative expression.

Arjun Krishnamurthy

Principal Architect

Architected cloud-native AI platforms for MetLife and Oracle. Thinks in systems, not scripts. Specialist in system design and enterprise AI at scale.

Why Engineering Teams Choose RocketOne

Six reasons enterprises pick us over Coursera, external hiring, and DIY training.

We Build What We Teach

Our instructors ship AI systems at Fortune 500 companies. They face real production constraints, debug real systems, and solve real architecture problems. Every lesson is drawn from consulting work — not textbook theory.

-- SquareShift: 15+ years | 200+ enterprise AI projects | Rs.50Cr+ in AI/ML services delivered

Google Cloud Premier Partner

Audited, certified, and validated by Google for enterprise AI/ML expertise. Your team gets access to Google Cloud best practices, Vertex AI training environments, and partnership-tier support.

-- Google Cloud Premier Partner | Vertex AI Authorized Trainers | 1,000+ GCP certifications

Build-First, Not Slide-First

80% hands-on coding. 20% instruction. Your engineers deploy their first LLM API call on Day 1. By week two, they are debugging production systems. By program end, code is in your repo.

-- 80% hands-on curriculum | 100% of teams ship production code | 4.8/5 rating

Custom to Your Stack

We integrate into your codebase, your deployment pipelines, your monitoring tools. Java, Python, Node.js, Go, Rust, TypeScript — your stack, your constraints, your environment. Not a training sandbox.

-- 10+ tech stacks supported | Custom curriculum guarantee | 1-week integration sprint included

Measurable ROI, Not Certificates

Pre-training baseline. Post-training dashboard. Six-month impact analysis. You measure what matters: features shipped, productivity lift, engineer retention, time-to-value on your first AI feature.

-- Avg. 3-5 features shipped per cohort | 95%+ retention post-program | 327-700% 3-year ROI

AI-Native Learning Tools

Every participant gets an AI Code Coach for instant feedback, a real-time progress dashboard, and adaptive learning paths that adjust to your team's pace. You learn AI through AI.

-- 50K+ code submissions reviewed by AI coach | 40% faster time-to-proficiency vs. traditional training

The Numbers Behind the Claim

0 Faster Feature Delivery McKinsey AI Impact Study 2024
0 Less Than External Hiring Glassdoor AI Salary Benchmarks 2024
0 3-Year Training ROI Udemy/IDC Skills Gap Report 2024
0 Engineer Retention Post-Program RocketOne Program Data

Upskilling vs. External Hiring: 3-Year Cost Comparison

You need 10 AI-capable engineers. Here is what the two paths cost over three years.

Factor Hire Externally (10 Engineers) Train Internally (40 Engineers) Winner
Initial Investment Rs.2.5Cr (recruitment + onboarding) Rs.8-15L (training program) Train
Time to Productivity 6-9 months 4-8 weeks Train
Year-1 Retention 70% (external hires churn faster) 95%+ (upskilled talent stays) Train
Productivity Gain Timeline 40% by month 6 40% by month 2 Train
3-Year Total Cost Rs.4Cr+ (hiring, attrition, re-hiring) Rs.1.5Cr (training + existing salaries) Train
Competitive Posture Reactive (copying competitors) Proactive (building own IP) Train

Costs are estimates for the Indian IT market. Actual costs vary by company size, geography, and role seniority. This comparison is illustrative, not a guarantee.

IT Services | 2,000+ Engineers

"We tried Coursera licenses. Our engineers took modules but didn't finish. With RocketOne, we had real projects, real instructors, and real shipped code. That changed everything."

VP Engineering, 2,000-Person IT Services Firm

Started with 40 engineers. Scaled to 160 in six months. Billing rates increased 20%. Talent retention jumped from 65% to 92%. A new AI capability became a billable service line.

Rs.0Cr+

New AI Service Revenue

Year 1 from AI capability transformation

SaaS Product Co | 80 Engineers

From Six Months Behind to Market Leader

Rs.1Cr ARR
8 Weeks
833% ROI

"We were six months behind competitors. In eight weeks, not only did we catch up — we leapfrogged them. Our team now owns the AI roadmap with zero external dependencies."

CTO, Mid-Market SaaS Product Company

Fortune 500 Enterprise | 500+ Engineers

From Pockets of AI to Organization-Wide Practice

200 Engineers
15+ Features
Rs.1.5Cr Impact

"This was not a training program. It was a cultural transformation. Our engineers saw that AI is not magic — it is engineering. And they owned it."

Chief Technology Officer, Fortune 500 Enterprise

What Engineering Leaders Say

Outcomes, Not Certificates

Delivery and engineering leaders on what changed after their teams went through the program.

"We have deployed production AI systems for Fortune 500 clients. We built the bootcamp curriculum from what we ship every day — not from textbooks. The students build what our engineers build."

Engineering Leadership, SquareShift Technologies

Google Cloud Premier Partner

500+ engineers | 8+ years enterprise AI | Fortune 500 clients

"We have managed production delivery programs for Fortune 500 clients. We built the bootcamp curriculum from what our delivery leaders deploy every day — not from textbooks. The participants build what our PMs build."

Delivery Leadership, SquareShift Technologies

Google Cloud Premier Partner

500+ engineers | 8+ years enterprise delivery | Fortune 500 clients

"The early warning system caught a dependency issue that would have blown our release date. The AI flagged it from a developer's Slack message I had read and ignored."

Meera Sundaram

Meera Sundaram

Program Lead, SaaS Product Company

Risk caught 2 days early

Your Team's AI Transformation Starts With One Conversation

Tell us your stack, your team size, and your timeline. We will send you a custom curriculum and pricing within 48 hours. No obligations. No generic proposals.

Get a Custom Training Plan Download AI Skills Gap Report

Common Questions

Common Questions

Eight weeks. Your engineers commit 6–8 hours per week — a mix of live workshops, self-paced modules, and hands-on project work. The program runs alongside regular work; it is designed for engineers who are still shipping product.

Yes. Every program is custom-built around your stack. Java, Python, Node.js, Go, Rust, TypeScript, C# — we have delivered on all of them. During the discovery call, we map your codebase, deployment pipeline, and tools. Your team trains in their own environment, not a sandbox.

Eight engineers for the Sprint program. Fifteen for the flagship 8-week program. For enterprise programs with 50+ engineers, we run multiple concurrent cohorts with dedicated instructors per cohort.

Completion rates, outcomes, and customization. Generic platforms average 5–15% completion for corporate licenses. Our programs have 95%+ completion because engineers work on their own product roadmap with live instructors. The output is shipped code, not a certificate.

Three checkpoints. Pre-program: we baseline your team's AI capability and current feature velocity. Post-program: we measure features shipped, productivity change, and confidence scores. Six months later: we deliver an impact report covering retention, ongoing AI feature output, and business value generated. You see exactly what the investment produced.

Yes. Most enterprise clients start with the Sprint (2 weeks, 8–20 engineers) as a proof of concept. If the results meet your criteria, we scale to the flagship or enterprise program. No long-term contracts are required to start.