ShipStack
Corporate training · L&D programmes

Turn your teams into people who ship AI.

We design and deliver AI training around the outcome your business needs — an internal agent in production, a modern data stack, or two hundred managers who can scope AI work with confidence. Built with your L&D team, taught by practitioners, measured by what your people build.

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Custom proposal within 48 hours · 30-minute discovery call · On-site, virtual or hybrid

How a programme runs Typical engagement

  1. 1
    Discover A working session with your leaders: the outcome, the teams involved, and what has been tried before.
  2. 2
    Assess Skills assessments, stakeholder interviews and capability mapping to set an honest baseline.
  3. 3
    Design A curriculum blueprint with role-based tracks and projects mapped to your real use cases.
  4. 4
    Deliver Instructor-led sessions, hands-on labs, capstones and office hours in the format you choose.
  5. 5
    Measure Pre/post assessments, project outcomes and adoption signals, reviewed with you each quarter.
01 · The problem

Most AI training doesn’t survive Monday morning.

Your teams don’t need another three-day webinar that recites the latest paper and disappears. Here is where generic training breaks.

i

No business goal behind the curriculum

Generic AI concepts, taught in the abstract. People finish knowing about AI, but not how it changes the work on their desk tomorrow.

ii

One programme for everyone

Engineers, analysts and leaders sit through the same slides. It is too basic for one group, too technical for another, and useful to neither.

iii

Nothing built by the end

Slides don’t create capability. If a cohort hasn’t shipped something real by the last session, they were briefed — not trained.

02 · Our approach

Tailored, co-designed, practitioner-led

We don’t arrive with a deck and a timer. We start from the outcome you want and work backwards into tracks, labs and capstones that get each group there.

Upskilling programmesAI transformationLeadership enablementRole-based tracksHackathons & capstones
  • Skills audit and gap analysis before any content is written
  • Curriculum co-designed with your L&D and functional leads
  • Beginner-to-advanced tracks so every cohort starts at the right level
  • Labs built on your data, your tools and your use cases
  • Delivered on-site, live online or hybrid — across time zones
03 · Process

Every engagement starts with your outcome — not our slides.

  1. Discover

    A working session with your leaders: the outcome, the teams involved, and what has been tried before.

  2. Assess

    Skills assessments, stakeholder interviews and capability mapping to set an honest baseline.

  3. Design

    A curriculum blueprint with role-based tracks and projects mapped to your real use cases.

  4. Deliver

    Instructor-led sessions, hands-on labs, capstones and office hours in the format you choose.

  5. Measure

    Pre/post assessments, project outcomes and adoption signals, reviewed with you each quarter.

04 · What we teach

The full AI stack, taught by people who build it.

Every area can be scoped from introductory to advanced and combined into role-based tracks.

01

Agentic AI

Tool-using agents, multi-agent orchestration with LangGraph, AutoGen and CrewAI, memory, MCP, evaluation and deployment.

02

Generative AI & LLMOps

Foundation models, RAG, fine-tuning, prompt engineering, guardrails, observability and production LLMOps on AWS, Azure and GCP.

03

Data Science & ML

EDA, feature engineering, classical ML, deep learning, NLP and computer vision — rigorous and project-driven.

04

Data Analytics

SQL, Python, Power BI and AI-assisted analysis so business teams can answer their own questions.

05

No-code AI automation

Workflow automation and no-code agents with n8n, Make and Zapier for operations, sales, HR and finance.

06

AI-assisted engineering

Claude Code, Cursor and spec-driven development so engineering teams ship faster without lowering the bar.

05 · Audience

One organisation. Four very different needs.

AI fluency is a different curriculum at every level. We design for each cohort and ladder them up to one coherent capability.

Tier I

Leadership

Strategy-level AI fluency: where it pays off, build vs. buy, governance, risk and competitive positioning.

Half-day – 2 days
Tier II

Product & programme managers

Scoping AI work, writing AI-ready PRDs, managing model and data risk, and shipping AI features.

1 – 2 weeks
Tier III

Engineers & data teams

The builder track for software engineers, data scientists and ML engineers — hands-on, on real data.

4 – 8 weeks
Tier IV

Business functions

Practical GenAI, automation and no-code tools applied to sales, marketing, operations and finance workflows.

8 – 16 weeks
06 · Delivery

Built around your calendar and your geography.

On-site bootcamp

2–10 days · 15–200 people

Live virtual cohort

4–16 weeks · 20–500 people

Hybrid programme

8–24 weeks · 30–1,000 people

Executive masterclass

½–2 days · 8–40 people

Train-the-trainer

4–8 weeks · 5–20 people

07 · Who leads it

Rajat Chaudhary

Founder & Lead Instructor

Rajat leads ShipStack’s curriculum and its corporate programmes. Every course and project here is built the way teams actually ship software: a real problem, a working system, and a deployment you can show.

Ready when you are

Let’s design the programme your organisation actually needs.

Thirty minutes is enough to map the problem, size the programme and know whether we’re the right partner. A custom proposal follows within 48 hours.

Book a discovery call