Research-trained, production-ready
Programmes built for
real systems.
Enterprise AI enablement for business teams, technical workshops from LLMs through graph ML, backend engineering with Java, and curriculum strategy, grounded in fintech deployment and university teaching.
What we offer
Enterprise AI enablement
ChatGPT, Claude, and Gemini taught in your business context, not tool tours. Hands-on cohort workshops built around participants’ own recurring tasks, gathered through a pre-workshop intake, with clear guidance on which tool to route each task to and how to use AI safely with company data. An AI Champions track prepares internal advocates to sustain adoption after we leave.
Who it’s for
Business teams across functions: sales, finance, HR, product, operations.
You leave with
Working prompts and workflows for your actual tasks, a tool-routing guide, and reusable templates.
Technical AI & ML workshops
LLM internals, RAG, evaluation, and safe use in regulated contexts; Python-first ML, NLP, and graph neural network labs; SQL and data pipelines where teams need them. Practical guardrails for models in sensitive domains, grounded in what we have shipped in AML and fintech.
Who it’s for
Engineers, data scientists, and analysts who build with these systems.
You leave with
Working lab code, evaluation checklists, and patterns you can apply to production systems.
Backend engineering with Java
Production Java and Spring Boot taught by an engineer who ships it daily: microservices from domain modelling to deployment, reactive (WebFlux) services, REST API design and third-party integration, and CI/CD with Docker. Grounded in fintech and enterprise systems.
Who it’s for
Backend developers and teams building or modernising Java services.
You leave with
A working service built during the labs, plus patterns for testing, integration, and deployment.
Strategy & curriculum design
Roadmaps for leadership and L&D: what to teach first, how to sequence cohorts, how to measure skill gain, and how to align training with your compliance and data-governance posture.
Who it’s for
Leadership, talent, and learning teams planning an AI upskilling programme.
You leave with
A sequenced training plan matched to your tools, teams, and constraints.
Delivery formats: in-person or remote; single sessions or multi-week cohorts. Agendas reference your stack and governance constraints, not a generic deck.
How we work together
Scoped to engineers, analysts, or executives.
Goals & audience
Who attends, current tooling, and what “good” looks like after training.
Agenda & depth
Mix of concepts, live demos, and exercises, adjusted for time zone and skill level.
Workshops
Interactive sessions with space for Q&A tied to your domain (e.g. risk, product, data).
Optional support
Office hours or short async reviews to reinforce adoption.
Book a conversation
Send your enquiry with the form. It stays on this page. Prefer WhatsApp? Use the button after you fill in your brief.
contact@active-neuron.com
For formal correspondence; copy if needed.