AIWin AcademyAI Talent DevelopmentHands-On AI Trainingfor Business Impact
Drawing on 200+ enterprise AI projects, we develop people who can truly put AI to work on the job.

Enterprise AI in Practice,
Brought into the Classroom
Built on real business needs and adoption experience.
Teams learn how AI fits into everyday workflows.



Real Projects,
Real Curriculum
We turn enterprise AI experience
into practical learning.



Three Enterprise AI Training Programs
Use AI → Build with AI → Put AI to Work. Pick the training path that matches your organization's AI maturity.
Core AI Talent
Development Program
Get your people using AI
Advanced AI Agent
Hands-On Program
Put AI to work for your people
AI Use Case
Deployment Program
Bring AI into your real business scenarios

- Defect inspection
- Workplace safety detection
- SOP motion recognition
- Hands-on vision AI basics

- Equipment anomaly analysis
- Process / quality analysis
- Predictive analytics
- Smart dashboards

- Enterprise knowledge base setup
- RAG applications
- Q&A collaboration
- Proactive reporting and alerts
AIWin AcademyAI Talent DevelopmentLearn AI. Apply It at Work
From learning AI to real-world deployment, we build talent that can actually solve business problems.
Combining theory, industry practice and hands-on application, we help AI skills take root in everyday work and long-term careers.
Needs Assessment
Understand your pain points and pinpoint where AI can help
Practical Training
Courses built around real business scenarios
Tool Proficiency
Master AI tools to work faster and smarter
Deployment
Link AI to workflows and systems for measurable results
AI-DrivenA New Future for Business

Michael Lin
Translating complex AI
into steps your business can actually execute
Michael is AIWin's Chief Strategy Officer and leads its R&D team. He has spent years on the front lines of enterprise AI adoption, working across vision AI, data analytics, LLMs, enterprise knowledge systems and AI SaaS.
His teaching goes beyond AI trends to focus on how companies get started, roll AI out and make it stick. He turns years of R&D and hands-on enterprise experience into adoption methods that are easy to follow and ready to use.
About the instructor
Michael is AIWin's Chief Strategy Officer and leads its R&D team. He has spent years on the front lines of enterprise AI adoption, working across vision AI, data analytics, LLMs, enterprise knowledge systems and AI SaaS.
His teaching goes beyond AI trends to focus on how companies get started, roll AI out and make it stick. He turns years of R&D and hands-on enterprise experience into adoption methods that are easy to follow and ready to use.
Vibe Coding: The Complete Hands-On Course
Build, launch and monetize an AI-powered product with Master Prompt, Cursor and Spec Coding. No coding background required.
The Complete AI Talent Roadmap
Three learning paths for AI users, developers and leaders, each with a clear curriculum.

AI Application Operations Talent
Use AI tools to streamline existing workflows and boost efficiency
- Vibe Coding: Beginner
- Intro to Codex / Claude Code
- AI Image Recognition & Defect Inspection: Hands-On Workshop
- AutoML Data Analytics: Hands-On Workshop

AI Technical Development Talent
Master core programming, model deployment, and applied AI engineering
- Vibe Coding: Advanced
- Agentic Coding
- Advanced Codex / Claude Code
- Image Recognition & AOI Inspection: Fundamentals
- AI Agents: Theory & Practice
- Data Analytics & Preparation: Fundamentals

AI Strategic Planning Talent
Gain the capability to lead your company's AI adoption
- iPAS AI Application Planner: Elementary Level
- iPAS AI Application Planner: Intermediate Level
Featured Courses
Find the right AI course for your team, with clear goals and practical outcomes.

Vibe Coding: Beginner
Start with requirements and prompt design, then use AI to build your first working tool for the job.
- Understand the Vibe Coding workflow and AI development tools
- Break requirements into clear, actionable development instructions
- Build a simple work app and test the results

Vibe Coding: Advanced
Use Spec Coding to connect requirements, specs, implementation, and acceptance into a controlled, maintainable development process.
- Turn requirements into traceable, testable development specs
- Drive AI with specs to build multi-step features
- Set up testing, debugging, version control, and iteration workflows

Agentic Coding
Understand how coding agents break down tasks, read your codebase, and work through development step by step.
- How Agentic Coding differs from standard AI-assisted programming
- Break requirements into tasks an agent can execute and verify
- Complete a basic development task from planning to delivery

Intro to Codex / Claude Code
Get started with AI coding tools to understand code, edit files, and complete basic tasks.
- Codex and Claude Code interfaces and core capabilities
- Provide context, assign tasks, and review the changes
- Practice everyday code tweaks, debugging, and documentation cleanup

Advanced Codex / Claude Code
Bring AI coding tools into real projects to handle large-scale changes, testing, code review, and automation.
- Stabilize agent behavior with project conventions and reusable instructions
- Explore, modify, and refactor large codebases across files
- Integrate testing, code review, and team development workflows

Image Recognition & AOI Inspection: Fundamentals
Understand how image recognition and AOI inspection work, how models make decisions, and why they get it wrong.
- How image recognition and deep learning models work
- The AOI inspection workflow: image capture, labeling, and interpretation
- Evaluating inspection performance and analyzing common misjudgment scenarios

AI Agents: Theory & Practice
Take AI beyond Q&A and into your workflows, where it can take on tasks, use tools, and get things done.
- How AI agents work: LLM brain + memory and knowledge + tools
- Task workflow design: receiving tasks, planning steps, calling tools
- Hands-on automation for enterprise service scenarios

Data Analytics & Preparation: Fundamentals
Turn scattered data into something you can model with. It's the first step of every AI project.
- Data quality checks and cleaning: missing values, outliers, and duplicates
- Fundamentals of feature preparation and dataset splitting
- Common analysis methods and how to read the results

AI Image Recognition & Defect Inspection: Hands-On Workshop
Train and deploy image recognition models directly on AIWinOps, no coding required.
- Working in AIWinOps: data upload, labeling, and training
- Validating models and deploying them to the production line
- Monitoring recognition results and maintaining model updates

AutoML Data Analytics: Hands-On Workshop
Build predictive and analytical models with AutoML, and turn your data into decisions you can act on.
- Working in NumOps: data import, cleaning, and field setup
- Automated modeling with AutoML, plus comparing and selecting models
- Interpreting predictions and presenting them in dashboards

iPAS AI Application Planner: Elementary Level
Build a shared language and core concepts for AI applications while preparing for the iPAS Elementary Level certification exam.
- Core concepts and terminology of AI and machine learning
- AI use cases across industries
- Key exam topics for iPAS AI Application Planner (Elementary Level)

iPAS AI Application Planner: Intermediate Level
From planning to rollout, gain the skills to lead your company's AI adoption projects.
- Needs assessment and feasibility evaluation for AI projects
- Breaking down industry adoption cases and discussing ROI
- Execution planning and risk management for adoption projects
Available as public courses, in-house training tailored to your organization, or co-hosted with industry foundations and associations.
Not sure where to start?
Find the learning path that fits your role and goals.

Build Your Own AI Applications
For IT, R&D, and engineering teams. Hands-on all the way from coding and models to AI agents.

Work Faster with AI Tools
For frontline teams in quality assurance, production control, marketing, and admin. No coding required.

Lead AI Adoption or Digital Transformation
For managers and project leads. Build the planning skills to lead AI adoption across the business.
Still not sure which one fits? Talk to us about your corporate AI training needs
Request a ConsultationThree Ways to Train Your Team
Choose a public course, tailored team training or a program with an industry partner.
Public courseTopic-Based Public Courses
A practical introduction to AI for individuals and teams exploring their first use cases.
- Fixed topics
- Short sessions
- Fast ramp-up
In-house trainingIn-House Corporate Programs
Courses tailored to each department's roles and adoption goals, from learning paths to outcome assessment.
- Customized by department
- Real-scenario practice
- Talent path planning
Foundation partnershipIndustry Foundation Seminars
Courses co-hosted with III, ITRI and industry associations, featuring our instructors, materials and case studies.
- Co-planned programs
- Seminars and training
- Instructors and materials
Dig into your company's pain points and goals to define the training direction and focus.
Design course content, learning paths, and a delivery plan around your goals.
Run the training, track learning outcomes, and keep refining to deliver real business value.
Plan Your Corporate
AI Talent Development Program
From choosing courses to mapping learning paths, we'll help you find the training approach that fits.
Tell us your team's goals. We'll recommend the right courses and training format.
- Help choosing the right learning path
- Recommendations on public courses / in-house training / foundation partnerships
- Planning a complete corporate AI talent roadmap


