Engineering Professionals

How to Use AI in Engineering & Research

Build practical AI literacy for engineering and research environments. Enable faster validation of ideas, prototypes, and workflows while reducing reliance on full engineering teams for early-stage validation.

⏱️ Duration: Variable (See Curriculum)
🎓 Certificate of Completion

What You'll Learn

  • ✓Establish repeatable AI-driven workflows (not one-off experiments)
  • ✓Improve productivity on research, analysis, and documentation tasks
  • ✓Expand capability to work across compliance, systems engineering, and product contexts
  • ✓Validate product concepts through interactive demo flows without writing code
  • ✓Design reliable prompts for consulting workflows
  • ✓Create Custom GPTs for repeatable tasks

Curriculum Overview

Module 1: Introduction (1h)

Module 2: AI Methodologies & Tools (2h): LLMs, RAG, Agents, Vector Databases

Module 3: AI in Systems Engineering (3h): Requirements, Architecture, Traceability

Module 4: AI for Compliance (3h): ISO 26262, Audits, Gap Analysis

Module 5: Industry Context: AI in Automotive Industry (3h)

Module 6: Using AI in Daily Workflows (4h): Prompt Engineering, Custom GPTs

Module 7: Vibe Coding for Prototyping (4h): claude Code, Cursor, Iterative Coding

Module 8: No-Code & Integration Tools for MVP Validation (4h): Make, Zapier, n8n

Interested in this course?

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