Capstone Workshop: Build Your Own GenAI Toolkit TECH AI

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GenAI Toolkit Training is a practical, hands-on capstone workshop designed to help participants bring their generative AI knowledge together into a personalized toolkit of AI tools, prompts, workflows, and practical solutions. Rather than simply learning individual AI platforms, participants will learn how to select and combine the right tools to address real-world technical and professional challenges.

 

Duration 2 days – 14 hrs

 

Overview

 

The GenAI Toolkit Training is an advanced, hands-on capstone workshop designed to help participants transform their existing generative AI knowledge into a practical, integrated toolkit of AI tools, prompts, workflows, and solutions. Rather than focusing on individual AI platforms in isolation, the workshop teaches participants how to strategically select, combine, and apply multiple GenAI tools to solve real-world professional and departmental challenges.

Over two intensive days, participants will identify a genuine workplace problem or opportunity and develop an end-to-end GenAI-powered workflow around it. Using tools such as Claude, Canva, Fireflies, Notion AI, and other appropriate platforms, learners will explore how different AI capabilities can work together to support tasks such as research, content creation, meeting intelligence, documentation, communication, reporting, and workflow automation.

A major focus of the workshop is workflow design and prompt engineering. Participants will map each stage of their solution—from input and information gathering to AI processing, transformation, and final output—and develop effective prompts that enable consistent results across multiple tools. They will also test tool-to-tool handoffs, identify potential gaps or inconsistencies, and refine their workflows through practical experimentation.

The workshop places strong emphasis on practical business value and workplace adoption. Participants will evaluate their solutions based on productivity gains, usability, scalability, efficiency, and alignment with organizational objectives. Through peer review and facilitator feedback, learners will identify opportunities for improvement and strengthen their solutions before finalizing their toolkit.

Participants will also develop a deployment and adoption plan, considering documentation, user requirements, workflow scalability, responsible AI use, and potential expansion to other teams or business processes. This ensures that the capstone goes beyond experimentation and provides a foundation for applying GenAI solutions in an actual work environment.

By the end of the GenAI Toolkit Training, each participant will have created and presented a documented, tested, and practical GenAI-powered workflow tailored to their professional needs. The completed toolkit will provide a reusable foundation for integrating generative AI into everyday work, improving productivity, and supporting continued AI-driven innovation within their organization.

 

Learning Objectives

  • Select and integrate multiple GenAI tools to solve a real-world workplace challenge
  • Build and document an end-to-end AI-powered workflow tailored to their function
  • Present and justify their solution in terms of productivity, scalability, and alignment with business goals
  • Critique and improve their design through structured peer and facilitator feedback
  • Leave with a functional, scalable GenAI toolkit ready for workplace adoption

 

Audience

  • Power users of GenAI tools across departments (HR, Marketing, Sales, Admin, Ops)
  • Mid- to senior-level professionals tasked with digital transformation or innovation
  • Participants who have completed prior GenAI, automation, or AI productivity courses
  • Business leaders and team leads championing AI adoption

 

Prerequisites 

  • Familiarity with at least 2–3 GenAI tools (e.g., ChatGPT, Claude, Canva, Fireflies, Notion, Slack GPT)
  • Experience building AI-assisted content, communications, or automations
  • Completion of an intermediate GenAI or prompt engineering course is recommended

 

Course Content

 

Day 1: Planning and Building Your GenAI Workflow

 

Session 1: Toolkit Selection & Problem Definition

 

  • Review of available GenAI tools and use cases
  • Defining a department-specific problem or opportunity
  • Selecting tool combinations (e.g., Claude + Fireflies + Notion for HR reporting)

 

Session 2: Workflow Mapping and Prompt Engineering

 

  • Mapping the workflow stages (input → transformation → output)
  • Creating, refining, and chaining prompts for multi-tool interaction
  • Hands-on: Begin building your GenAI workflow using selected tools

 

Session 3: Tool Integration and Output Testing

 

  • Testing handoffs between tools (e.g., transcript from Fireflies summarized by Claude, visualized in Canva)
  • Troubleshooting logic gaps, formatting, or data inconsistencies
  • Iterative refinement based on user and system feedback

 

Day 2: Presentation, Feedback, and Finalization

 

Session 4: Workflow Presentations and Peer Review

 

  • Presenting the workflow’s purpose, design, and expected outcome
  • Live demonstration of the AI workflow
  • Peer and facilitator feedback: value, clarity, scalability, and risks

 

Session 5: Final Iteration and Deployment Planning

 

  • Refining the toolkit and documentation
  • Checklist for rollout and team adoption
  • Scaling the workflow across other departments or use cases
  • Wrap-up and certificate distribution

 

Capstone Deliverable:
Each participant will complete a documented and tested GenAI workflow tailored to their work environment, ready to deploy and scale within their team or organization.

 

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  • Explain warehouse processes and their impact on inventory accuracy and service performance.
  • Evaluate warehouse layouts, storage systems, and product locations.
  • Identify appropriate controls for receiving, put-away, storage, picking, and dispatch.
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  • Identify causes of inventory discrepancies and recommend corrective actions.
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  • Interpret warehouse productivity and inventory performance KPIs.
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        Target Audience  
  • Warehouse supervisors, team leaders, and managers.
  • Inventory controllers and stock control personnel.
  • Logistics and distribution supervisors.
  • Internal auditors and operational compliance personnel.
  • Supply chain and operations professionals.
  • Personnel responsible for reviewing warehouse controls and performance.
  Prerequisites  
  • Basic familiarity with warehouse, logistics, or inventory activities.
  • General understanding of business processes and operational documentation.
  • Basic numerical skills, including percentages and simple calculations.
  • Basic spreadsheet skills are helpful.
  • No prior experience with a specific Warehouse Management System (WMS) is required.
   

Course Outline

  Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls  
  • Warehouse roles within the supply chain.
  • End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
  • Physical stock movement and corresponding system transactions.
  • Responsibilities, authorization, and segregation of duties.
  • Common operational weaknesses and audit evidence.
  Module 2: Warehouse Layout and Storage Systems  
  • Functional zones, movement paths, and space utilization.
  • Receiving, storage, picking, staging, and dispatch areas.
  • Storage options: floor stacking, shelving, pallet racking, and bin storage.
  • Fixed and dynamic location systems.
  • Product slotting based on movement, size, handling needs, and compatibility.
  • Layout bottlenecks and their effects on productivity and inventory control.
  Module 3: Receiving and Put-Away  
  • Purchase orders, delivery documents, and expected receipts.
  • Quantity, condition, and item identification checks.
  • Recording shortages, overages, damage, and discrepancies.
  • Controls for acceptance, quarantine, and release.
  • Put-away rules and location confirmation.
  • Traceability through labels, barcodes, lot numbers, and serial numbers.
  • Timely recording of receipts and stock movements.
  Module 4: Storage, Stock Rotation, and Replenishment  
  • Storage discipline and location integrity.
  • FIFO and FEFO principles, applications, and limitations.
  • Batch, lot, and expiry-date management.
  • Controls for slow-moving, obsolete, damaged, and expired stock.
  • Replenishment of picking locations.
  • Supervision and review of stock rotation compliance.
    Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment  
  • Discrete, batch, zone, and wave picking.
  • Selecting picking strategies for different order profiles.
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  • Picking verification and error prevention.
  • Packing, staging, and dispatch confirmation.
  • Handling short picks, substitutions, cancellations, and returns.
  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
  • On-hand, available, allocated, and quarantined stock.
  • Transaction controls for receipts, transfers, issues, returns, and adjustments.
  • Common causes of physical and system stock mismatches.
  • Barcode scanning and WMS control points.
  • Inventory reconciliation and supporting documentation.
  • Measuring inventory accuracy and interpreting discrepancies.
  Module 7: Cycle Counting and Physical Inventory  
  • Cycle counting versus full physical inventory.
  • ABC classification and risk-based count priorities.
  • Count frequency based on value, movement, and discrepancy history.
  • Count preparation, blind counting, and movement controls.
  • Recounts, variance investigation, and adjustment approval.
  • Root cause analysis and corrective action follow-up.
  • Reviewing the effectiveness of the counting program.
  Module 8: Shrinkage Reduction and Inventory Protection  
  • Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
  • Access controls and accountability for stock movements.
  • Controls for high-value and sensitive inventory.
  • Returns, write-offs, scrap, and disposal controls.
  • Exception reporting and unusual transaction patterns.
  • Investigating recurring losses and unexplained adjustments.
  • Preventive and detective controls for shrinkage reduction.
    Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs  
  • Receiving productivity and dock-to-stock time.
  • Put-away productivity and replenishment performance.
  • Picking productivity and order accuracy.
  • Inventory accuracy and cycle count variance.
  • Space utilization and storage capacity.
  • Shrinkage, damage, and expiry indicators.
  • Defining KPI formulas, data sources, and reporting boundaries.
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  • Documenting findings with clear supporting evidence.
  • Prioritizing corrective actions and tracking closure.
  Module 11: Warehouse Improvement Planning  
  • Identifying bottlenecks, unnecessary movement, and rework.
  • Improving layout, slotting, and picking arrangements.
  • Addressing inventory discrepancy root causes.
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  • Assigning improvement owners and measurable targets.
  • Monitoring results and sustaining operational improvements.
  Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan  
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