High-Impact AI Use Cases
Identify AI opportunities in common business processes to drive efficiency and cost savings.
Hands-On Simulations
Learn to build AI-driven workflows using practical tools for faster decision-making and scalable efficiency.
Customized AI Roadmap
Create a personalized AI roadmap for your organization to achieve measurable ROI and strategic goals.
About the Course
Un-Masked AI Course 2 is the second of a seven-course series for operations management. Un-Masked AI designs curricula with seasoned experts to targets specific outcomes. You will immediately understand that these experts aren't "AI Evangelists" but have decades of experience in their fields; they understand when to use AI to increase value and when to avoid it. This second course is designed to dive into building your own AI-powered dashboard using free no-code tools. Starting from foundational concepts like centralizing KPIs for real-time monitoring and predictive analytics, to advanced customization for supply chain, manufacturing, and logistics needs, you'll learn about reducing downtime by up to 20% as seen in real-world case studies from industry leaders. Through interactive simulations, quizzes, and a progressive project that evolves chapter by chapter, you'll master data integration, user-friendly design, security protocols, and ongoing maintenance, empowering you to proactively identify bottlenecks, optimize resource allocation, and drive measurable efficiency gains, cost savings, and competitive edge in today's fast-paced business environment. The full series (sold separately) contains courses that work through common aspects of successful operations. Designed for seasoned operations leaders, this series is designed to cut through the hype to deliver practical AI strategies. Learn to implement AI solutions that drive efficiency, cut costs, and boost decision-making speed. By the end, you'll have a tailored AI roadmap for immediate ROI. Each course takes approximately 4 - 6 hours to completed. Course One: Fundamentals of Operations with AI Course Two: Focusing on Results with an AI Dashboard (launching 2/2/26) Course Three: Measuring and Sustaining Operations with AI (launching 2/16/26) Course Four: Data-Driven Decision Making and AI (launching 3/2/26) Course Five: Automating Operational Processes with AI (launching 3/16/26) Course Six: AI for Workforce Productivity and Management (launching 3/30/26) Course Seven: Strategic AI Implementation for Operations (launching 4/13/26)
Introducing our Featured Expert
Jeffrey Werner is a seasoned enterprise operations executive with over 20 years of leadership in corporate operations, program management, and strategic initiatives across technology, manufacturing, finance, and retail sectors. As an expert in operations management, he has excelled in early technology adoption for enhanced efficiency and overseeing complex vendor ecosystems to drive data-informed decisions and measurable ROI. https://www.linkedin.com/in/jeff-werner/
Reason for Joining with Un-Masked AI
“More times than I can count, I’ve sat in boardrooms explaining why yet another ‘magic’ technology wasn’t going to fix our people-and-process problems overnight. That’s exactly why I agreed to work with the Unmasked AI team to create this course. It’s obvious when you’re listening to AI evangelists talk about their tools whether they understand the fundamentals of how business runs.” - Jeff Werner
The syllabus
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1
Chapter 1: Introduction to AI Dashboards
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(Included in full purchase)
Lesson 1: Overview of AI Dashboards and Their Role in Operations
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(Included in full purchase)
Lesson 2: Exploring the Purpose, Benefits, and Real-World Applications of AI Dashboards
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Lesson 3: Assessing Knowledge of AI Dashboard Fundamentals
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Lesson 4: Mapping Operational Metrics to Business Scenarios
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Lesson 5: Prototyping a Basic AI Dashboard with Sample KPIs
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2
Chapter 2: Selecting Data Sources for AI Dashboards
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(Included in full purchase)
Lesson 1: Identifying and Integrating Data Sources for AI Dashboards
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Lesson 2: Techniques for Data Source Selection, Integration, and Quality Evaluation
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Lesson 3: Evaluating Understanding of Data Sources and Integration Methods
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Lesson 4: Simulating Data Connections and Cleaning Processes
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Lesson 5: Connecting and Cleaning Data in an AI Dashboard Environment
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3
Chapter 3: Designing an Effective AI Dashboard
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Lesson 1: Principles of User-Friendly AI Dashboard Design
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Lesson 2: Layout Techniques, Visualization Selection, and Usability Testing for Dashboards
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Lesson 3: Testing Comprehension of Dashboard Design Principles
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Lesson 4: Arranging and Refining Dashboard Elements with Stakeholder Input
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Lesson 5: Designing a Prototype AI Dashboard with Custom Layouts and Visuals
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4
Chapter 4: Building Your First AI Dashboard
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Lesson 1: Hands-On Basics of Creating AI Dashboards
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(Included in full purchase)
Lesson 2: Steps for Platform Setup, KPI Visualization, and Dashboard Sharing
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Lesson 3: Verifying Knowledge of Dashboard Construction Processes
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Lesson 4: Practicing Visualization Customization and Stakeholder Presentation
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Lesson 5: Constructing and Sharing a Basic AI Dashboard with Real Data
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5
Chapter 5: Customizing Dashboards for Specific Operations
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Lesson 1: Tailoring AI Dashboards to Operational Areas
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Lesson 2: Mapping Processes, Modifying KPIs, and Validating Custom Dashboards
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Lesson 3: Assessing Skills in Dashboard Customization and Validation
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Lesson 4: Adapting Dashboards for Department Needs with Feedback Simulations
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Lesson 5: Customizing an AI Dashboard for Targeted Operational KPIs
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6
Chapter 6: Ensuring Data Security in AI Dashboards
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(Included in full purchase)
Lesson 1: Securing Sensitive Data in AI Dashboards
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Lesson 2: Identifying Risks, Setting Controls, and Monitoring Data Usage
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Lesson 3: Evaluating Understanding of Security Risks and Controls
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Lesson 4: Configuring Access and Addressing Security Scenarios
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Lesson 5: Implementing Security Features in an AI Dashboard
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Chapter 7: Testing and Deploying AI Dashboards
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Lesson 1: Ensuring Reliability Through Testing and Deployment
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Lesson 2: Functionality Testing, Team Deployment, and Feedback Collection
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Lesson 3: Checking Knowledge of Testing and Deployment Strategies
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Lesson 4: Simulating Tests, Deployments, and Iterative Improvements
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Lesson 5: Testing Accuracy and Deploying an AI Dashboard with Feedback
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Chapter 8: Maintaining and Updating AI Dashboards
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Lesson 1: Ongoing Maintenance for Evolving AI Dashboards
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Lesson 2: Scheduling Maintenance, Adapting to Changes, and Team Training
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Lesson 3: Testing Comprehension of Maintenance and Training Approaches
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Lesson 4: Planning Updates and Developing Training Resources
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Lesson 5: Updating and Training on an AI Dashboard for Long-Term Use
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9
Closing
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Thank You and What's Next
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Before You Go...
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Ready to Transform Your Operations with AI?
Take the next step towards transforming your operations with AI integration. Enroll now and unlock a world of innovation and growth.
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