Course Overview
This course is designed to help operations professionals learn how to use Google AI tools to streamline operational processes and enhance decision-making. Participants will explore the application of Gemini, NotebookLM, and AgentSpace in automating process monitoring, analyzing complex operational data, optimizing supply chain flows, and improving quality control. The course aims to equip operations teams with the skills to implement AI-driven solutions effectively for improved efficiency, resilience, and strategic oversight.
Who should attend
- Operations Managers
- Process Improvement Specialists
- Operations Analysts
- Supply Chain Coordinators
- Project Managers (within Operations)
- Logistics Planners
- Quality Assurance Leads
Prerequisites
- Google Workspace basics, Process optimization principles, Supply chain management.
Course Objectives
- Identify how Gemini for Workspace can support operational reporting and communication.
- Utilize Gemini to summarize production metrics and draft standard operating procedures (SOPs).
- Assess the potential of Gemini to enhance efficiency and accuracy in operational tasks.
- Develop strategies for using Gemini to analyze supply chain data for bottlenecks.
- Generate insights from KPI dashboards using Gemini to inform process improvements.
Outline: Google AI Integration for Operations Intermediate (GAIOI)
Module 1 - Gemini for Workspace Integration
Using Gemini for various marketing tasks within the Google Workspace environment
- Drafting standard operating procedures (SOPs) and work instructions.
- Summarizing shift handoff notes and incident reports for quick insights.
- Generating initial drafts for logistics and supply chain communications.
- Creating project plan outlines for operational improvement initiatives.
- Analyzing quality control data themes in Sheets to identify trends.
- Brainstorming solutions for common operational bottlenecks or challenges.
Key Learning Outcomes:
- Participants will learn to use Gemini to automate operational document creation, analyze data, and improve internal communication efficiency.
Module 2 - NotebookLM Enterprise Integration
Using NotebookLM to analyze large documents and extract insights relevant to marketing
- Analyzing complex equipment manuals and maintenance logs for troubleshooting.
- Synthesizing information from diverse supplier contracts and service level agreements.
- Querying safety regulations, compliance documentation, and environmental policies.
- Summarizing audit reports and process improvement studies for actionable recommendations.
- Preparing comprehensive briefs for supply chain risk assessments and contingency planning.
Key Learning Outcomes:
- Participants will learn to use NotebookLM to efficiently analyze operational documents, prepare for audits, and extract critical insights for process improvement and strategic planning.
Module 3 - AgentSpace Integration
Use AgentSpace to automate marketing tasks and workflows
Key Learning Outcomes:
- Participants will learn to automate repetitive operational tasks using AgentSpace, streamlining processes, improving data accuracy, and increasing overall efficiency and responsiveness.