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Multi-modal AI
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$1,550

Multi-modal AI

coursera
coursera

coursera

1.符合資格者將於出貨後三個工作日陸續發送交易訊息通知。2.點數將於廠商出貨後,隔天起算110天後陸續確認發送。3.國際商家之商品金額及回饋點數依據將以商品未稅價格為準。4.國際商家之商品金額可能受匯率影響而有微幅差異。5.禮品卡支付以及使用未授權優惠碼不符合贈點資格。6.點數發送依據及返點上限將以「訂單總金額」計算(不含運費及稅額),不論訂單中有多少商品,於LINE購物皆視為只購買一商品(金額為當筆訂單所有商品加總金額),亦即點數回饋計算並非以coursera實際購買商品數量拆分計算 。7. 同6說明,訂單完成後的顯示金額可能包含部分運費或稅金,可返點金額將以系統回傳金額為準 8.若於商家App下單,不符合LINE購物導購資格。
商品描述

商品描述

Learn to build production applications by combining visual and textual inputs with AI coding tools. You will explore multi-modal programming where screenshots, images, and text serve as inputs for AI-assisted code generation, and set up development environments configured for visual AI workflows. The course covers prompt engineering with visual context to improve code generation accuracy, and hands-on development with GitHub Copilot in VS Code for inline suggestions and chat-based interactions. You will build a complete project using live reload and browser developer tools for rapid feedback between AI generation and visual output. The iterative development module teaches documentation-driven design where documentation guides AI toward desired outcomes, image-based iteration for refining generated code through visual comparison, and automated checks and validations that maintain quality through development cycles. You will learn to identify and overcome common iteration challenges including regression and context drift. The advanced module covers Model Context Protocol for connecting AI tools with external capabilities, Playwright for browser automation and visual testing, and Playwright MCP for AI-driven browser interactions that validate web applications directly. By completing this course, you will be able to convert screenshots into production code through iterative, automated, multi-modal AI workflows.

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