Free AI Learning for Every Role

How I use (and don't use) AI to design better in 2026

This beginner video helps UX Designers in Tech learn How I use (and don't use) AI to design better in 2026 with a practical focus on researching user needs, generating design ideas, and improving design workflows. Video 2 2u6bH17NIQk is public, embeddable, 21m33s () - matches 21min claim. By the end, learners will have a clearer understanding of how to use AI Design Workflow, Figma, UX Tools to save time, improve quality, and complete common UX Designer tasks with more confidence.

ChatGPT Google Sheet: Inventory Management System and Inventory Dashboard (Part 1)

This intermediate video helps Inventory Managers in Retail learn ChatGPT Google Sheet: Inventory Management System and Inventory Dashboard (Part 1) with a practical focus on applying ChatGPT, Inventory Management, Google Sheets to everyday work. Description includes Google Sheets template, Apps Script code, and Google Drive folder links for viewer download. By the end, learners will have a clearer understanding of how to use ChatGPT, Inventory Management, Google Sheets to save time, improve quality, and complete common Inventory Manager tasks with more confidence.

AI for Marketing Course

Azure: Network Security

Deep dive into Azure network security architecture, DDoS protection, VPC controls, and network access security. Designed for network engineers and security architects optimizing cloud network infrastructure on Azure—covers enterprise-grade network isolation, segmentation, and threat prevention.

Using AI and ChatGPT for Mental Health Progress Notes

This beginner video helps Care Coordinators in Healthcare learn Using AI and ChatGPT for Mental Health Progress Notes with a practical focus on preparing care documentation, patient communications, and follow-up materials. AI-assisted progress note writing is core care coordinator workflow. By the end, learners will have a clearer understanding of how to use ChatGPT, Clinical Documentation, Progress Notes to save time, improve quality, and complete common Care Coordinator tasks with more confidence.

What You Need to Know about AI, Automation & Retail Trends in 2025

This intermediate video helps Merchandising Managers in Retail learn What You Need to Know about AI, Automation & Retail Trends in 2025 with a practical focus on applying AI in Retail, Retail Automation, Retail Trends to everyday work. Part of 'Webinars/Panels' series (56 episodes). By the end, learners will have a clearer understanding of how to use AI in Retail, Retail Automation, Retail Trends to save time, improve quality, and complete common Merchandising Manager tasks with more confidence.

Inventory Management

Master inventory management strategies for uncertain retail environments using data science and Microsoft Excel. Learn to calculate safety stock, optimize reorder points, and manage demand variability—essential skills for operations managers and inventory analysts balancing costs and customer satisfaction.

AI Foundations

Built by OpenAI's model, product, and safety teams, this 70-minute self-paced course teaches you how AI tools like ChatGPT actually work and how to use them well in your everyday job. You'll practice writing clear prompts, giving useful context, reviewing AI outputs before you act on them, and applying AI responsibly — working from a real task you already perform in your role. You'll finish with stronger prompting habits, a practical understanding of AI's capabilities and limitations, and a concrete improvement to a real piece of your own work. A free ChatGPT account is all you need to complete the exercises.

Generative AI for Everyone

This beginner course helps Customer Supports in Tech learn Generative AI for Everyone with a practical focus on applying ChatGPT, Generative AI, Business Communication to everyday work. Covers AI limitations - important for support reps so they know when NOT to trust AI output. By the end, learners will have a clearer understanding of how to use ChatGPT, Generative AI, Business Communication to save time, improve quality, and complete common Customer Support tasks with more confidence.

Creating Retail Promotional Materials with Microsoft Copilot

This practical guide shows retail marketing coordinators how to use Microsoft 365 Copilot Chat to create and publish promotional content from start to finish: identifying SEO keywords for seasonal and product campaigns, generating sale flyers and blog posts from product briefs, proofreading marketing copy against specific grammar and brand rules, writing social media headlines and snippets, and repurposing long-form content into LinkedIn or Instagram posts. Sample prompts include 'Identify 10 SEO keywords for a blog post to attract people ages 20–30' and 'Create a flyer for an upcoming Winter sale featuring the following brands and items' — making each content task a one-step Copilot conversation.

Master Data Analysis with ChatGPT (in just 12 minutes)

This beginner video helps Data Scientists in Tech learn Master Data Analysis with ChatGPT (in just 12 minutes) with a practical focus on applying ChatGPT, Data Analysis, DIG Framework to everyday work. Teaches the DIG (Describe-Introspect-Goals) framework for data analysis with ChatGPT - a concrete, repeatable method directly applicable to Data Scientist daily work. By the end, learners will have a clearer understanding of how to use ChatGPT, Data Analysis, DIG Framework to save time, improve quality, and complete common Data Scientist tasks with more confidence.

AI Capabilities and Limitations

Ever wondered why an AI tool produces a perfect summary one moment, then confidently makes something up the next? This Anthropic course gives you the mental model to understand exactly why — covering next-token prediction, knowledge cutoffs, working memory limits, and how well your instructions actually steer the AI. Six sections pair short explanations with hands-on exercises so you can feel where the AI's edges are, not just read about them. A final diagnostic section teaches you to look at any unexpected output, recognize what went wrong, and apply a targeted fix. No technical background required; no prior AI experience needed.