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Accelerating Engineering Design in Simulink with Agentic AI
Accelerating Design and Analysis in MATLAB Using Agentic AI
A Practical Course to how Agentic AI can be used as an engineering tool within Simulink
Course
Highlights
This one-day, intermediate-level course teaches engineers a structured, model-agnostic approach to using agentic AI within Simulink—leveraging context, tools, and human-in-the-loop review to support model building, simulation, verification, debugging, and documentation—while equipping participants to create custom, reusable skills that embed domain expertise and best practices into agent workflows.
Who Should
Attend
This hands-on course is for intermediate users. It is especially useful for those who want to gain a fundamental understanding of how Agentic AI can help in solving complex engineering problems without removing the human-aspect.
Course
Prerequisites
Familiarity with the fundamentals of Simulink is recommended. Undergraduate level mathematics and experience with basic computer operations is also recommended.
Course
Benefits
This course delivers a repeatable, engineering-aligned framework for adopting agentic AI, giving participants hands-on proficiency with the Simulink Agentic Toolkit while embedding human-in-the-loop review checkpoints that strengthen governance and traceability.
Partners
Upcoming Program
- Please keep me posted on the next schedule
- Please contact me to arrange customized/ in-house training
Course Outline
Agentic AI Fundamentals
Objective: This chapter introduces a structured view of agentic AI, focusing on context, tools, and agentic loops. Agents are engineering tools, enabling a structured interaction approach that aligns with established engineering practices.
- Differentiate agentic AI from traditional chat-based workflows
- Explain the roles of context, tools, and review loops in agentic systems
- Identify project scope boundaries and permission considerations for agent usage
- Describe the function of skills and MCP within Simulink workflows
Simulink Agentic Toolkit Fundamentals
Objective: This chapter demonstrates how agents can be connected and used directly with Simulink. A reliable human-in-the-loop approach is established for building, inspecting, and modifying models, enabling productive use of agents in day-to-day engineering tasks.
- Establish a connection between agents and the Simulink environment
- Explore available toolkit skills and tools
- Execute Simulink tasks using an agent
- Inspect, build, and modify Simulink models using agent support
Agentic Engineering Workflows
Objective: This chapter introduces a structured agent interaction flow that integrates with standard engineering practices. Planning, review, refinement, simulation, verification, debugging, and documentation are combined into a cohesive workflow, enabling reliable and traceable use of agents within engineering processes.
- Plan scoped engineering tasks suitable for agentic execution
- Review, refine, and extend Simulink models with agent assistance
- Simulate, verify, and debug model changes introduced through agent workflows
- Document engineering work produced with agent support
Custom Skills for Reusable Agent Behavior
Objective: This chapter focuses on defining and implementing custom skills to capture workflows, best practices, and domain knowledge. This enables agent behavior to become repeatable, consistent, and aligned with engineering standards, supporting scalable and structured usage across projects.
- Identify opportunities for custom skills
- Define the structure and content of custom skills
- Implement reusable workflow guidance using custom skills
- Apply domain knowledge and standards through custom skill design