Corporate AI Training

We Build AI Teams for the Companies That Build India

Q: How do you measure ROI?

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.

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

RocketOne AI Academy — corporate training session in progress

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.

Featured Practitioner

Aananth Solaiyappan

Co-founder & CEO, SquareShift Technologies

"I've shipped products for 42 million users and led AI transformation at Amazon and Oracle. The teams that win the next decade will be the ones who understand AI deeply — not just use it. That's exactly what we build here."

I've built technology products used by 42 million people — from WeLab, a fintech unicorn that raised USD 160 million, to enterprise AI platforms at Amazon and Oracle. As Co-founder and CEO of SquareShift, I lead AI, cloud, and cybersecurity transformation for global enterprises across the USA, Singapore, and India. Every breakthrough product I've been part of came from teams who understood the emerging technology deeply — not just adopted it. AI is that technology today. At RocketOne, I teach you how to move from AI curiosity to AI leadership: the strategy, the architecture, and the execution that actually ships.

Co-founder & CEO, SquareShift Fintech unicorn WeLab — 42M users, USD 160M raised Enterprise AI transformation at Amazon & Oracle Amazon Oracle

Elango Balusamy

Chief Technology Officer

"Twenty years of shipping AI and data platforms across four continents taught me one thing — the leaders who understand both the technology and the business outcome are the ones who define what comes next."

Prem Kumar

Director of Engineering

"Anyone can build an AI demo. I teach you how to build the architecture behind systems that scale — because the gap between prototype and production is where most teams get stuck."

Sezhian Kumarasamy

Principal Solutions Architect

"From drawing board to production, I've spent 20+ years designing solutions that enterprises actually build on — not architectures that look clean in a diagram but fall apart under real load. At RocketOne, I teach you the exact decisions that make the difference between a solution that scales and one that becomes tomorrow's technical debt."

Stephen Raj

Head of AI

"The difference between a model and a solution is understanding the business problem it solves. I teach you both — so the AI you build actually gets used."

Sandeep Iyer

Head – AI Talent Strategy & Business Transformation

"Technology transformations succeed not just because of the platforms companies adopt, but because of the teams they build to execute them. In the AI era, organisations that invest in the right talent and leadership will lead the next decade of innovation."

Himal Rajan

Full Stack & AI Developer

"From React frontends to Python AI backends, I've spent my career building full-stack systems that actually ship — RAG pipelines, autonomous agents, and production APIs that handle real traffic. At RocketOne, I teach you the exact engineering decisions that turn an AI prototype into a system your users can depend on."

Gopi Selvaraj

AI Engineer

"From enterprise delivery at IBM and Kyndryl to building production AI agents at SquareShift, I've spent my career shipping autonomous systems that handle real business logic — not just prototypes that never leave the sandbox. At RocketOne, I teach you the exact agent architecture and integration decisions that separate a proof-of-concept from an agent your customers actually trust."

Hariharavelan

Project Manager

"From on-site delivery teams to leading global client programmes across continents, I've spent 15+ years steering projects that actually close — not just status meetings that look like progress. At RocketOne, I teach you the exact planning, risk, and stakeholder decisions that separate a project that drifts from one your client calls a success."

Ashok Kumar

Project Manager

"From scoping engagements to closing them, I've spent 7+ years making sure global projects deliver what they promise — not just what they planned. At RocketOne, I teach you the exact governance, communication, and delivery decisions that separate a project manager from one clients ask for by name."

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.

“I took the beginner's code and within 30 minutes, I learned how to successfully implement Claude Code in our application.”

Vijay Anand M

Claude Code workshop participant

“Prompt engineering is not about asking better questions — it's about designing structured instructions that shape intelligence. The two workshops at SquareShift (AI-Powered Development with Claude Code and Prompt Engineering) gave me a complete framework: RICE prompting, role engineering, hallucination prevention, and structured XML prompting. If you work in IT, cloud, or development — AI prompting is now a core professional skill.”

Abdul Azees

IT Professional

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

How long does the flagship program take?

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.

Can you train teams on our specific tech stack?

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.

What is the minimum team size?

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.

How is this different from Coursera or Udemy?

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.

How do you measure ROI?

Two 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.

Can we start with a pilot before committing?

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.