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Enterprise Training

Capability building, not a curriculum catalogue.

Training is one part of a larger AI engineering company, delivered by people who ship production AI systems, tied to the same engineering discipline behind everything else we build. Practitioner-led training carries lessons a course catalogue can't: what actually breaks in production, and why.

Discuss a Corporate AI Program
Three ways to engage

Find the right starting point for your organisation.

A · Training Path

Executive AI Capability

Senior leaders, business leaders, transformation leaders, decision makers.

Helps leadership teams understand where AI and GenAI genuinely apply, where they don't, and what adopting them actually implies operationally — enough to make sound investment and risk decisions.

  • AI/GenAI opportunity and limitations
  • Adoption decisions and operating implications
  • Risk and governance
  • Practical enterprise use cases
B · Training Path

Technical & Engineering AI Capability

Developers, data professionals, ML/AI teams, architects, technical practitioners.

Hands-on capability building for the people who'll actually design and ship AI systems — taught by practitioners who build production systems, not a slide-deck curriculum.

  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models
  • Retrieval-Augmented Generation
  • Agentic AI
  • Enterprise AI engineering
C · Training Path

Custom Enterprise AI Programs

Organisations with a specific team, business context, or capability gap to design around.

Programs built around your actual technology environment and use cases, rather than a generic course — scoped in direct discussion with your team.

  • Scoped to your teams and business context
  • Built around your technology environment
  • Aligned to your specific use cases and capability gaps
How we approach it

Built and taught by the same people.

The engineers and practitioners who design NSArrows' own AI systems are the ones teaching — training draws directly on live engineering practice, not a fixed slide deck that ages out of date.

Track record

Organisations we've trained

Great Learning

Analytics Vidhya

IND4

Accenture / TalentSprint

Tata Motors

AI Adoption training, via IND4

Tata Power

via AntWalk

Athena Health

Claude Code training, via Accenture

Fractal Analytics

via Analytics Vidhya

NPCI

via TalentSprint

Kirloskar Pneumatics

AI Adoption training for leadership, via IND4 and C4I4

Have an AI initiative worth discussing?

We'll respond directly.

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