Pillar 03 · From buying AI to building it in-house

Build the team that ships your AI

Custom curricula, hands-on bootcamps, and embedded mentoring - so your engineers and your executives speak the same AI language and your roadmap doesn't stall on hiring.

  • CTOs & VPs of EngineeringScaling a young team that needs production AI patterns, not generic courses.
  • Heads of Data & AILifting analytics teams from notebooks to shipped, monitored products.
  • Chief People Officers & L&D LeadsSponsoring company-wide AI fluency programmes with measurable outcomes.
  • Executive Teams & BoardsWant enough AI literacy to make budget and vendor calls with confidence.
  • Heads of Product & InnovationNeed PMs and designers who can spec AI features and work with ML teams.
  • Your team uses ChatGPT every day but can't explain what "fine-tuning" actually does.
  • You hired data scientists; they're shipping notebooks, not products.
  • The executive team needs AI fluency to make budget decisions.
  • Your engineers want to build with LLMs but don't know the production patterns.
  • You bought a course platform; nobody finishes a course.
  • You're scaling fast and need a sustainable internal AI capability.
  • Your product managers can't write the spec for an AI feature without an engineer in the room.
  • New hires land on a stack with no internal AI playbook to follow.
  • You need a certification that proves what people actually learned, not just that they showed up.
Topic catalog

Twelve modules. Pick, mix, customise.

Every module is delivered with hands-on labs and a starter repo in your team's primary language. Filter by audience to find the right entry point.

Non-technical

AI for Executives

Strategy, ROI framing, vendor selection, AI Act obligations, building the AI org.

Light technical

AI for Product Managers

Spec'ing AI features, evaluation design, working with ML teams, prompt-engineering for product.

Beginner

Python & ML Foundations

NumPy, pandas, scikit-learn, model evaluation, the daily-use toolkit for working with data.

Intermediate

Deep Learning Architectures

MLP, CNN, RNN, Transformers - the maths and the implementations, with PyTorch.

Intermediate

Computer Vision

Detection, segmentation, OCR, video analytics. Fine-tuning, evaluation, and deployment.

Intermediate

NLP & Embeddings

Tokenisation, embeddings, classification, NER, semantic search - classical NLP that's still relevant in 2026.

Advanced

GenAI, LLMs, RAG & Agents

The 2024-2026 stack. Prompt engineering, RAG architecture, agentic workflows, fine-tuning, evals.

Advanced

MLOps & Production

Model registries, CI/CD for ML, monitoring, drift, A/B testing, on-prem and cloud deployment.

Advanced

LLMOps

Eval harnesses, prompt versioning, guardrails, cost monitoring, observability for LLM products.

Cross-functional

AI Governance & EU AI Act

Risk classification, conformity assessment, documentation, internal policy, what to put in the audit trail.

Intermediate

Data Engineering for AI

ETL/ELT, feature stores, data quality, lineage - the plumbing that makes AI possible.

Cross-functional

Responsible AI & Ethics

Bias, fairness, explainability, privacy, model cards. With real examples from finance, public sector, and healthcare.

Formats

Five ways to deliver the training

From a half-day executive briefing to a year-long subscription with quarterly cohorts. Pick the rhythm that fits your team.

Executive Briefing

Half-day

Non-technical, decision-maker-grade overview of AI strategy, GenAI, and what to ask vendors. Perfect before a budget cycle.

Embedded Mentor

3-6 months

Part-time embedded with your team. Code reviews, pairing on the first real project, weekly office hours.

Custom Curriculum Development

4-8 weeks

We build the curriculum, you run it. Train-the-trainer included.

Annual Learning Subscription

Yearly retainer

Quarterly cohorts, refresher modules, new-hire onboarding, on-call AI fluency support.

What we deliver

Eight artefacts your L&D team can re-run

Custom curriculum, labs, recordings, assessments - yours to keep, yours to re-run with the next cohort.

Custom curriculum

Modular slides, labs, exercises and recordings tailored to your stack and use cases - yours to keep and reuse.

Hands-on labs

Production-grade starter repos in your primary language, with exercises that build the patterns engineers will use the next week.

Mentoring & office hours

Scheduled one-on-ones and code-review sessions. Where learning turns into shipping.

Pre/post assessment

Measurable knowledge baselines so your CFO knows what the budget bought.

Recorded sessions

Full video library hosted on your LMS or platform of choice - so the next cohort doesn't need us to repeat the workshop.

Train-the-trainer

Materials that let your internal champions run the next cohort themselves.

Certification path

Optional internal certification with public verification, so engineers can carry the credential after.

Community kickoff

Slack / Teams channel setup, governance, and the first three lunch-and-learns to create momentum.

How we work

From skill audit to shipped projects

The five-step rhythm that turns training into production output - not just course completion certificates.

01

Assess

Skill audit across the relevant teams - current capability, knowledge gaps, learning preferences, business goals.

02

Design

A custom curriculum mapped to your stack, your industry, and the specific outcomes you need in 90 days.

03

Deliver

Workshops, bootcamps, executive briefings - on-site or remote, in your language, with your data.

04

Embed

Office hours, code reviews, project mentoring - the bit that turns a learned concept into a shipped feature.

05

Sustain

Refresher modules, internal community kickoff, train-the-trainer materials, ongoing subscription for new hires.

Audiences & industries we've trained

The case studies and articles on this site are a slice; we've shipped AI across many more sectors than those examples.

Financial Services
Public Sector
Healthcare & Life Sciences
Aviation & Transport
Manufacturing & Industry 4.0
Retail & E-commerce
Energy & Utilities
Telco & Media
Insurance
Education
FMCG / Consumer Goods
Professional Services

What we train on

A pragmatic mix of best-in-class open source and managed services. Always picked to fit the team that will own it after handover.

PythonPyTorchTensorFlowscikit-learnJupyterGoogle ColabVS CodeCursorOpenAIAnthropicHugging FaceLangChainLlamaIndexMLflowWeights & BiasesDockerFastAPIAWSGCPAzureSlackNotionCustom LMS integrations
  • We don't do generic AI 101 webinars. Every curriculum is built for your stack and your use cases.
  • We don't hand over slides and disappear. The embedded mentoring phase is where the learning sticks.
  • We don't certify what we didn't teach. Our cert validates the modules you actually completed.

Frequently asked

Ismail leads strategy and exec briefings personally. Technical bootcamps are delivered by senior engineers with shipped production AI experience - not generic instructors.

Want a team that ships AI in 90 days?

Tell us your team's current shape. We'll come back with a custom curriculum and a delivery plan.