Artificial Intelligence

Enterprise AI competency, agentic workflows and intelligent automation programs.

AI · Program 01Advanced

Enterprise AI Competency Program

Build enterprise AI competency from how LLMs work to agentic operation (rule, skill, MCP, hook).

Curriculum

  • AI fundamentals: how a machine sees/learns; neural networks and the probabilistic nature of LLMs
  • The four pillars of agentic work: rule · skill · MCP · hook
  • Git/GitHub and dashboard anatomy; Design System with Claude and a single-source repo (token, hook, skill)
  • The Google Workspace universe and automation with Apps Script
  • Connecting corporate memory to the system with NotebookLM and Gemini Gems
  • A look ahead with Google Antigravity
AI · Program 02Advanced

Enterprise Intelligent Workflows Program

Manage automation ROI with visual flow building, Python ERP/PLM integration and process mapping.

Curriculum

  • The logic of workflow automation
  • Building visual flows: node / trigger / link, serial-parallel flows and error handling
  • PLM integration with basic Python coding (Enovia)
  • ERP integration with basic Python coding (SAP, IFS)
  • Process mapping (7-part skeleton), fit testing and prioritization with an impact/difficulty matrix
  • The real ROI of automation (time + consistency + error reduction); goal: a team that runs automation

Related AI Training

Accelerating Analysis-Test Processes with Artificial Intelligence

Accelerate analysis-test processes with AI using surrogate models, ROM and neural networks.

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