Course Positioning
Course Objectives
 
This is a hands-on course designed specifically for non-technical business owners, managers, and administrative staff. We put AX Academy's enterprise-transformation methodology into practice with the Open WebUI (OpenGenie) tool. We don't just teach you AI chat—we teach you how to build a company-exclusive AI system where "data never leaves home," with access control and knowledge retention built in.
 
 
 
Why is this course a must for beginners and managers alike?
 
 
 
 
Zero security risk: learn the logic of on-premises private deployment so confidential documents like contracts and financial reports never flow to third-party servers.
 
 
 
 
Zero communication barrier: the interface is as friendly as ChatGPT, so your whole company can get up to speed painlessly.
 
 
 
 
24h post-course teaching assistant: after the course, you get an AI teaching assistant based on the course content to answer your hands-on questions anytime.
 
 
 
 
 
Course Structure
 
Five Core Tasks
 
1. AI Literacy and Enterprise Security Principles (AX L0–L1)
 
 
 
 
A guide to avoiding pitfalls in enterprise AI adoption: why is the personal version of ChatGPT a security minefield?
 
 
 
 
The battle to protect data privacy: understand fully private on-premises implementation and how to keep contracts and financial reports from leaking.
 
 
 
 
Building an AI collaboration mindset: moving from "commands" to "systems," and planning a 90-day enterprise rollout.
 
 
 
 
 
2. System Environment Tour and Getting Started (hands-on Open WebUI)
 
 
 
 
Connection and interface demystified: quickly get comfortable with the Open WebUI interface and master chat history and model switching.
 
 
 
 
Strategic model deployment: get to know the characteristics of different LLMs such as Llama 3 and Gemma, and learn to choose the most cost-effective, most accurate model for each task.
 
 
 
 
 
3. Asking Effectively: Engineering-Grade Prompt Applications
 
 
 
 
Templatizing your prompts: use the built-in "engineering-grade prompt template library" so even beginners can produce expert-level copy.
 
 
 
 
Turning knowledge into assets: learn how to keep great interaction experience within the organization and avoid the technical gaps caused by staff turnover.
 
 
 
 
 
4. Hands-On Document Q&A: Turning Documents into Knowledge (RAG)
 
 
 
 
Instant document Q&A: upload PDF, Excel, and Word files for precise analysis.
 
 
 
 
Targeted-conversation technique: learn to use the # symbol to select a specific confidential document for discussion, putting RAG into real practice.
 
 
 
 
Cross-system collaboration: automatically pipe AI analysis results into Google Sheets to achieve office automation.
 
 
 
 
 
5. Continuous Evolution: AI Post-Course TA and Refresher Mechanism
 
 
 
 
24h always-on support: an introduction to AX Academy's exclusive AI post-course teaching assistant, which resolves any hands-on roadblocks you hit after class.
 
 
 
 
Alumni connection: get the latest AI tech briefings and refresher-course discounts to ensure your company's competitiveness doesn't fade as technology moves on.
 
 
 
 
 
Course Highlights
 
✅ Absolutely secure: with a focus on fully private on-premises deployment, it solves the security concerns that pain enterprises most.
 
✅ Learn and use it instantly: with a built-in engineering-grade prompt library, produce event plans and marketing copy on the spot.
 
✅ Methodology-driven: built on the AX maturity model so AI adoption follows a clear framework—not just playing with tools.
 
✅ Deep RAG practice: focused on "document Q&A" so the AI truly understands your enterprise knowledge.
 
 
 
Learning Outcomes
 
 
 
 
Take control of a private interface: operate Open WebUI independently and manage team accounts and model permissions.
 
 
 
 
Effective questioning skills: skillfully apply professional templates to boost your productivity tenfold.
 
 
 
 
Achieve knowledge governance: build a company-exclusive knowledge base and automate the analysis of financial reports and spec sheets.
 
 
 
 
Get an adoption roadmap: take home a deployable "Enterprise AI Usage Guidelines" document and rollout blueprint.
 
 
 
 
 
Who Should Attend
 
 
 
 
Administrative and marketing staff: for copywriting, market-intelligence compilation, and data analysis.
 
 
 
 
Product R&D teams: for finding technical documents and quickly summarizing spec sheets.
 
 
 
 
Senior managers: for security risk-control decisions and quickly grasping financial reports and market trends.