Choose your training track

Parallel Agile training is organized into two complementary tracks. The AI-Assisted MBSE (AIM) track teaches practical ways to use AI to develop better specs, models, and software. The Pain-Free track helps teams choose high-value, low-pain requirements and SysML practices.

AI-Assisted MBSE (AIM) Track

Use AI to create better specs, models, and code

Courses for teams who want practical, repeatable workflows for AI-assisted software specification, SysML v2 modeling, and model-to-code acceleration.

AI-Assisted MBSE book cover

AI-Assisted MBSE (AIM) Training

4 days / 24 hours $1,995/student SysML v2

Get SysML v2 models started radically faster by using AI and reusable templates to turn engineering intent into specs, architectures, and software-facing artifacts without giving up rigor, structure, or traceability.

AIM for Software

2 days $1,295/student Spec-based coding

Use AI to develop complete software specs, then use modern coding agents such as Codex or Claude Code to generate and refine working software.

Pain-Free Track

Rigor without the mortis

Focused courses for teams who want rigorous SysML modeling without feeling like the project just died. Pain-Free MBSE favors practices that deliver high value with low pain.

Pain-Free MBSE book cover

Pain-Free MBSE Training

4 days / 24 hours $1,995/student SysML

Apply the Value-to-Pain Ratio to SysML and MBSE work so teams can keep the rigor while avoiding over-engineered diagrams and schedule bottlenecks.

Pain-Free Use Case Modeling

1 day $995/student Use cases

Learn to write concise use case specifications that expose nominal, alternate, and exception behavior before missing requirements become expensive.

Which course should I take?

Start with the problem you most need to solve.

I want better specs for coding agents. Use spec-driven development to SAVE TOKENS, reduce rework, and improve test coverage before asking Codex, Claude Code, or ChatGPT to generate working software. Start with AIM for Software.
I want full AI-assisted MBSE. Use AI to generate valid SysML v2 code in a fraction of the time it takes to write by hand, so you can focus on the system model instead of wrestling with model-as-code mechanics. Start with AI-Assisted MBSE (AIM) Training.
I need better use cases. Many teams skip writing use case narratives, miss off-nominal requirements, and never test the scenarios where systems actually fail. Learn how to use use cases correctly to discover and test those behaviors early. Start with Pain-Free Use Case Modeling.
SysML modeling is too painful. Don't get stuck! Improve the Value-to-Pain Ratio of your SysML and MBSE practices, keeping the rigor while avoiding over-engineered diagrams and schedule bottlenecks. Start with Pain-Free MBSE Training.