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Enterprise Training

Upskill your engineering team on what ships today

Instructor-led programmes in Agentic AI, DevOps & Cloud, Full Stack Development, Data Science & DataOps, and Machine Learning & AI — scoped to your stack, delivered onsite, virtually or hybrid.

  • Onsite · Virtual · Hybrid
  • Custom curriculum
  • Hands-on labs
  • Post-training support
Programmes

Five tracks, shaped to your team's level

Run any track on its own, or combine modules across tracks into a single programme. Depth and duration are set during scoping.

Agentic AI

Build systems that act, not just answer

Take your engineers from prompt-writing to production agents — tool use, retrieval, orchestration and the evaluation discipline that keeps them reliable.

  • LLM fundamentals & prompting
  • RAG pipelines
  • Tool calling & function schemas
  • LangChain
  • LangGraph
  • LangSmith
  • Spring AI
  • Multi-agent orchestration
  • Evals & guardrails
  • Cost and latency tuning

DevOps & Cloud

Ship faster, break less

Containers, pipelines and cloud infrastructure as code — taught on your stack, so the practices land in your repos rather than staying theoretical.

  • Docker & containerisation
  • Kubernetes in practice
  • CI/CD pipelines
  • Terraform & IaC
  • AWS core services
  • GCP core services
  • Monitoring & observability

Full Stack Development

One team, end to end

Modern web engineering across the whole stack — from component architecture to API design, data modelling and deployment.

  • React & Next.js
  • Node.js & REST APIs
  • Spring & Spring Boot
  • Databases & SQL
  • Schema management
  • Authentication & security
  • Testing strategy
  • Deployment workflows

Data Science & DataOps

Turn your data into decisions

The analysis toolkit your teams use day to day, plus the pipelines behind it — querying, cleaning, orchestrating and communicating findings that hold up to scrutiny.

  • Python for analysis
  • pandas & NumPy
  • SQL for analytics
  • ETL pipelines
  • Airflow
  • Statistics that matter
  • Visualisation & storytelling
  • Google Looker Studio
  • Dashboards & BI

Machine Learning & AI

From notebook to production

Model building grounded in deployment reality — feature engineering, honest evaluation, modern architectures, and the MLOps practices that keep models useful after launch.

  • Supervised & unsupervised learning
  • Feature engineering
  • Model evaluation
  • Deep learning foundations
  • TensorFlow
  • Transformers
  • LoRA fine-tuning
  • Model deployment
  • MLOps & monitoring

Something else in mind?

If the skill gap you're solving for doesn't map neatly onto one of these tracks, tell us what it is. Most of our programmes end up bespoke anyway.

Start a conversation
How we work

Training your engineers will actually use

Curriculum built around you

We scope against your stack, your codebase and your team's starting point — not a fixed syllabus pulled off a shelf.

Hands-on, not lecture-only

Every module is anchored to labs and exercises. Engineers write code in the session, not just watch someone else write it.

Practitioner trainers

Sessions are led by people who build these systems for a living, so questions about real trade-offs get real answers.

Assessment & reporting

You get a clear read on where the team landed — per-topic outcomes, not just an attendance sheet.

Paced for working teams

Delivered in blocks that fit around sprints and release cycles, so training doesn't stall your roadmap.

Support after the last session

A follow-up window for questions as your team applies the material to actual work.

Delivered how it suits you

Onsite

We come to your office. Best for team cohesion and intensive workshop blocks.

Virtual

Live instructor-led over video for distributed teams, with the same labs and interaction.

Hybrid

Onsite kickoff and capstone, virtual sessions in between — a practical middle ground.

Process

From first call to handover

01

Discovery call

We learn your goals, team size, current skill level and the outcome you're measuring against.

02

Proposal & curriculum

You get a module-by-module plan, schedule options and a fixed quote before anything is committed.

03

Delivery

Sessions run in your chosen format, with labs, checkpoints and space for your team's real problems.

04

Assessment & handover

Final assessment, an outcomes report, and all materials handed over for your team to keep.

Tell us what your team needs to learn

Share your team size, current level and the outcome you're after. We'll come back with a module plan, schedule options and a fixed quote — no obligation.

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