Token-Based Training for Engineering Teams
A structured approach to managing technical training across engineering organisations.
Engineering organisations require continuous technical development across multiple domains, including design verification, embedded systems, and emerging technologies such as AI.
Managing this through individual course bookings creates unnecessary complexity in planning, budgeting, and team allocation.
Alpinum’s token-based training model provides a structured way for organisations to access training across a broad portfolio, enabling more efficient management of engineering capability development.
This model is currently available for organisations in the UK and Europe.
Training Areas Covered
The token-based model provides access to a range of technical training areas, including:
This enables a more controlled and scalable approach to managing engineering training.
Available Training Programmes (Token-Based Access)
Alpinum’s training programmes are delivered through a structured token-based access model, designed to support engineering organisations managing multiple teams, projects, and technical domains. Each programme is assigned a defined number of tokens based on its scope, duration, and technical depth. Organisations purchase tokens and allocate them across training activities as required, enabling flexible and scalable capability development.
To provide a simple illustration: If one token has a defined value (Y), and a course requires X tokens, then:
Total training cost = X × Y
This model allows organisations to plan and manage training investment more effectively, while maintaining flexibility across teams and evolving project requirements.
Training Programmes and Token Requirements
The table below outlines the available training programmes, delivery format, and the number of tokens required for access.
Live Online Training
Live online training gives engineers access to structured instructor-led learning without the need to travel. These sessions are useful for distributed engineering teams, individual engineers and organisations that need practical training across different locations. The live online programme includes focused sessions across RISC-V, AI in design verification, AI-assisted coding, RAG, MCP, agentic AI, analogue IC design, AMS co-simulation, SystemVerilog, UVM and related engineering topics.
| Title | Date and Time | Tokens Required | Registration |
|---|---|---|---|
| [3 sessions] AI-Assisted Coding and Code Generation | Tue 24 Nov – Thu 26 Nov 2026, 11:00 AM–3:00 PM GMT | 25 Tokens | Register |
| [3 sessions] AI for RTL Design and Verification | Tue 1 Dec & Thu 3–Fri 4 Dec 2026, 11:00 AM–1:00 PM GMT | 10 Tokens | Register |
| [3 sessions] Formal Verification: Properties, Proofs and Signoff | Tue 8 Dec – Thu 10 Dec 2026, 11:00 AM–2:00 PM GMT | 17 Tokens | Register |
| [3 sessions] CPU Verification | Tue 15 Dec – Thu 17 Dec 2026, 11:00 AM–1:00 PM GMT | 10 Tokens | Register |
| [3 sessions] RISC-V Verification: From Block to SoC | Tue 19 Jan – Thu 21 Jan 2027, 11:00 AM–2:00 PM GMT | 17 Tokens | Register |
| [4 sessions] Software Testing & Verification Programme | Tue 26 Jan – Fri 29 Jan 2027, 11:00 AM–2:00 PM GMT | 25 Tokens | Register |
| [3 sessions] SystemVerilog Assertions in Simulation and Formal | Tue 23 Feb – Thu 25 Feb 2027, 11:00 AM–1:00 PM GMT | 10 Tokens | Register |
| [3 sessions] SystemVerilog for Design and Verification | Tue 9 Mar – Thu 11 Mar 2027, 11:00 AM–1:00 PM GMT | 10 Tokens | Register |
| [4 sessions] Analog and Mixed-Signal Design and Verification — Intensive Track | Tue 23 Mar – Fri 26 Mar 2027, 11:00 AM–2:00 PM GMT | 25 Tokens | Register |
| [3 sessions] Building UVM Testbenches | Tue 6 Apr – Thu 8 Apr 2027, 11:00 AM–1:00 PM BST | 10 Tokens | Register |
| [4 sessions] Software Development Programme | Tue 20 Apr – Fri 23 Apr 2027, 11:00 AM–2:00 PM BST | 25 Tokens | Register |
| [6 sessions] Full-Stack Low-Power Verification | 4–6 May & 18–20 May 2027, 11:00 AM–2:00 PM BST | 35 Tokens | Register |
| [6 sessions] Multicore Programming: Development and Verification | 11–13 May & 25–27 May 2027, 11:00 AM–2:00 PM BST | 35 Tokens | Register |
| [6 sessions] Multi-Level Hardware Debug: RTL Block to CPU to SoC | 1–3 Jun & 15–17 Jun 2027, 11:00 AM–2:00 PM BST | 35 Tokens | Register |
Upcoming Hybrid Training
Explore Alpinum’s upcoming hybrid semiconductor verification training, with options to attend in person or online. Select Register for full course information and booking details.
| Training Title | Date & Time | Tokens Required | Registration |
|---|---|---|---|
| Hands-on AI in Formal Verification Training (Edinburgh or Online) | Wednesday, 2 December 2026 9:00 AM–12:30 PM GMT | To be confirmed | Register |
On-Demand Training
| Course / Training | Delivery Format | Tokens Required | Access |
|---|---|---|---|
| Open-Source Verification Training Series (3 sessions) | On-demand Recordings | 8 Tokens | View Course |
| Formal Verification Training (6-Day Programme) | On-demand Recordings | 32 Tokens | View Course |
| Ramping Up Formal Verification Training Series (3 sessions) | On-demand Recordings | 8 Tokens | View Course |
| From Verilog to SystemVerilog for Advanced Verification (3 sessions) | On-demand Recordings | 10 Tokens | View Course |
| Complete Verification Training Bundle: SystemVerilog, UVM & SVA (9 sessions) | On-demand Recordings | 29 Tokens | View Course |
| Advanced Communication Skills Training for Engineers | On-demand Recordings | 4 Tokens | View Course |
| SystemVerilog Assertions (SVA) (3 sessions) | On-demand Recordings | 10 Tokens | View Course |
| Building Advanced UVM Test Benches (3 sessions) | On-demand Recordings | 10 Tokens | View Course |
| AI in DV and VLSI (3 sessions) | On-demand Recordings | 8 Tokens | View Course |
| Analog IC Design Using Python (3 sessions) | On-demand Recordings | 8 Tokens | View Course |
| Zephyr RTOS for Embedded Engineers (3 sessions) | On-demand Recordings | 10 Tokens | View Course |
| Verilog-AMS, SystemVerilog-AMS & UVM-AMS (3 sessions) | On-demand Recordings | 10 Tokens | View Course |
| AMS Co-Simulation (RNM & UVM) (3 sessions) | On-demand Recordings | 10 Tokens | View Course |
| AMS Co-Simulation (Power-Aware / UPF) (3 sessions) | On-demand Recordings | 10 Tokens | View Course |
| Hardware & Software Security (3 parts) | On-demand Recordings | 25 Tokens | View Course |
| Functional Safety Verification (3 parts) | On-demand Recordings | 25 Tokens | View Course |
| Low Power Verification (3 parts) | On-demand Recordings | 25 Tokens | View Course |
Reduced-Price Access for University Students
Alpinum supports selected university students with reduced-price access to eligible semiconductor training programmes using a valid academic email address. This helps students and early-career engineers access practical training in verification, UVM, Formal Verification, RISC-V and related semiconductor workflows.
Request training access
Use this form to request access to training programmes, discuss token allocation, or align training with your engineering roadmap.
Prefer direct email?
Write to mike@alpinumconsulting.com
Book a quick meeting with Mike:
https://calendly.com/mike-alpinum-consulting
Why Organisations Use Token-Based Training
Engineering training requirements are dynamic and closely aligned with project delivery. Teams frequently shift focus between design verification, system architecture, embedded software, and emerging technologies such as AI. Managing this through individual course bookings creates unnecessary complexity in planning, budgeting, and team allocation. Alpinum’s token-based training model introduces a structured and scalable approach that aligns training investment with engineering roadmaps, allowing organisations to move away from rigid course commitments.
Instead of fixed enrolments, organisations can allocate tokens across training programmes based on real-time project priorities. This enables engineering managers to distribute training efficiently across teams, reduce administrative overhead, and ensure that critical skills are developed in parallel with delivery needs. As requirements evolve, training can be reassigned without disruption, ensuring teams access the right expertise at the right time. This model is particularly suited to semiconductor and hardware organisations managing complex systems, distributed teams, and continuous innovation cycles.
