Applied, outcome-led training designed for technical teams and leaders. Every course includes a practical activity so your people leave with skills they can use immediately.
Domain
Introduces cellular-network fundamentals and the evolution from 3G through LTE/LTE-Advanced to 5G NSA and SA.
Practical outcome
Analyse an enterprise connectivity scenario and justify the recommended mobile technology.
Explains SIM, UICC, USIM, eSIM and iSIM technologies through the 3GPP architecture, interfaces, identity and authentication procedures.
Practical outcome
Map a connected-device requirement to UICC/USIM, eUICC or iSIM; identify the identities, authentication path, profile lifecycle and controls.
A focused course on GSMA Remote SIM Provisioning (RSP) architectures for M2M, Consumer and IoT devices, their lifecycle procedures, security model and implementation choices.
Practical outcome
Design an RSP architecture and lifecycle for a multinational device fleet; identify actors, interfaces, trust anchors, profile states and operating model.
Introduces IoT architecture, devices, connectivity, platforms, data flows, security, governance and scalability.
Practical outcome
Map a real IoT use case from sensor through connectivity, platform, analytics and end-user application.
Applies IoT concepts to Industry 4.0, connected assets, predictive maintenance, digital twins and IT/OT security.
Practical outcome
Design an IIoT predictive-maintenance solution for a production environment.
Builds end-to-end IoT solution architecture across devices, connectivity, edge, cloud, data, security, governance and operations.
Practical outcome
Develop and present an end-to-end IoT solution architecture for a defined business problem.
Establishes cybersecurity principles, threats, identity, network and endpoint protection, cryptography, risk and incident response.
Practical outcome
Complete a basic cyber-risk assessment and prioritise controls.
Addresses connected-device attack surfaces, identity, PKI, IoT SAFE, secure provisioning, lifecycle security and cloud/network controls.
Practical outcome
Create a connected-device security architecture and control plan for a fleet deployment.
A compressed executive/leadership course on cyber strategy, governance, risk-based decision-making, assurance and crisis readiness.
Practical outcome
Prioritise a one-year security programme for a board-level risk scenario.
An applied introduction to data, analytics, AI and responsible use. Every module includes a tool-supported exercise.
Practical outcome
Present a mini use case with evidence, prototype output, risks and next-step recommendation.
An applied Python course covering the workflow from data preparation through model evaluation, deployment patterns and responsible practice. Every module includes tools and a specific exercise.
Practical outcome
Build and present a Python-based ML prototype with a decision metric, evaluation results, limitations and deployment/monitoring plan.
Equips leaders and architects to shape AI solutions, data/technology architecture, governance, operating models and value-realisation plans.
Practical outcome
Create an AI solution architecture and phased implementation roadmap for an organisation scenario.
12 courses · 24 training days across 4 domains
| Domain | Courses | Training days | View |
|---|---|---|---|
| Mobile Connectivity | 3 | 4 | View courses |
| IoT | 3 | 7 | View courses |
| Cybersecurity | 3 | 6 | View courses |
| Data Science, AI & ML | 3 | 7 | View courses |
Tell us what your team needs — we will design the right programme for you.
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