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This beginner video helps Software Engineers in Tech learn How to use GitHub Copilot (the complete beginner's guide) with a practical focus on applying GitHub Copilot, AI Coding, Prompt Engineering to everyday work. Pacing is methodical with real IDE walkthroughs. By the end, learners will have a clearer understanding of how to use GitHub Copilot, AI Coding, Prompt Engineering to save time, improve quality, and complete common Software Engineer tasks with more confidence.
This beginner youtube helps Web Developers in tech learn Cursor Tutorial for Beginners (AI Code Editor) with a practical focus on applying cursor_ai, ai_code_editor, ai_assisted_development to everyday work. By the end, learners will have a clearer understanding of how to use cursor_ai, ai_code_editor, ai_assisted_development to save time, improve quality, and complete common Web Developer tasks with more confidence.
This intermediate youtube helps UX Designers in tech learn 13 AI Tools Every UX Designer Needs in 2025 with a practical focus on applying ai_design_tools, figma_ai, ux_research_automation to everyday work. Practical walkthrough of 13 AI tools directly relevant to UX design workflows in 2025: Figma AI, Galileo AI, Uizard, Relume, Maze AI for research, and others. By the end, learners will have a clearer understanding of how to use ai_design_tools, figma_ai, ux_research_automation to save time, improve quality, and complete common UX Designer tasks with more confidence.
This beginner video helps Technical Writers in Tech learn Using ChatGPT for Technical Writing // ChatGPT Demo with a practical focus on drafting documentation, adapting content for audiences, and improving technical explanations. Live ChatGPT demo covering 3 specific TW use cases: generating boilerplate/code snippets, solving blank-page problem with first drafts, and rewriting for audience. By the end, learners will have a clearer understanding of how to use ChatGPT, Technical Writing, AI Writing Tools to save time, improve quality, and complete common Technical Writer tasks with more confidence.
This intermediate crash course teaches QA Engineers how to use ChatGPT for test case drafting, test data generation, Selenium support, and API testing prompts. You move through a practical tester workflow with checkpoints after prompt setup, test design, automation drafting, and review so you can track progress as you go. The course also includes a pass/fail skills check built around real QA tasks: produce usable test cases, generate realistic data, improve automation drafts safely, and verify AI output before it reaches production. By the end, you will know where ChatGPT speeds up testing work and where human judgment still matters.
Explore how AI automation can solve EHR burnout—the #1 cause of physician burnout in healthcare. This AMA Update covers AI scribes, inbox management automation, clinical intelligence tools, and real-world physician burnout solutions. Understand how AI reduces administrative burden so clinicians can focus on patient care.
Use ChatGPT Edu prompt examples to handle enrollment analysis, onboarding, event planning, financial aid review, and curriculum updates. This resource helps college administrators turn daily operational work into faster, clearer decisions.
This beginner youtube helps Product Photographers in ecommerce learn AI tool for E-Commerce Product Photography Free | Professional Product Photography with a practical focus on applying ai_product_photography, ai_image_generation, ecommerce_visual_content to everyday work. Industry fit 5/5 - pure e-commerce workflow. By the end, learners will have a clearer understanding of how to use ai_product_photography, ai_image_generation, ecommerce_visual_content to save time, improve quality, and complete common Product Photographer tasks with more confidence.
This scenario guide helps retail store managers use Microsoft 365 Copilot to streamline every aspect of workforce management: generating optimized shift rosters that account for local labor regulations, adjusting rosters when staff changes happen mid-week, assigning high-priority tasks by shift and location, identifying which employees have incomplete required training, and drafting weekly team update communications. A standout example prompt shows how to build a Monday shift schedule that automatically factors in California work-hour rules — turning a multi-hour scheduling task into a one-minute conversation with Copilot.
This Microsoft Copilot scenario guide shows retail store managers how to use AI for six daily operations: building reusable shift schedule templates, drafting employee feedback surveys, composing policy update emails, preparing for store visits with AI-generated checklists, converting end-of-day activity notes into formal reports, and developing planogram compliance strategies. Each task includes ready-to-use sample prompts so managers can apply Copilot immediately — from asking 'Create a schedule template for team member shifts' to 'How should displays be set up according to this planogram?' — without any prior AI experience required.
This hands-on scenario guide walks retail store associates through six real-shift tasks that Microsoft Copilot Chat can handle in seconds: looking up product specifications for customers, retrieving store return policies, finding store locations and hours, generating personalized product recommendations, interpreting planogram display instructions, and drafting shift summary reports. Designed for frontline retail workers with no prior AI experience, it provides ready-to-use prompts for each task so associates can serve customers faster and spend less time searching for information manually. By the end of the scenario, associates have a practical prompt toolkit they can use on their next shift.
Retail store associates will learn how to use Microsoft Copilot Chat on the shop floor to serve customers more effectively without leaving conversations to search multiple systems. This scenario covers using Copilot to retrieve product specifications and features on the spot, locate products in the store by aisle and shelf, pull up the company return policy for any item, and generate product recommendations tailored to a customer's preferences. After completing this guide, store associates can answer customer questions faster and confidently suggest complementary products during service interactions.
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