All current Generative AI Courses courses in 2024
1093 קורסים
AWS Flash - Generative AI in Action: Real-World Use Cases (Japanese)
このコースでは、生成 AI のユースケースとそのビジネス価値の概要を提供します。主要産業における実際の応用方法とケーススタディを含んでいます。コースレベルは基礎で、所要時間は75分です。
アクティビティ: このコースには、プレゼンテーション、実際の例、ケーススタディが含まれます。
コースの目標:
生成 AI の4つのコア目標を理解する
会話型 AI とパーソナラ.
AWS Skill Builder
AWS Flash - Generative AI in Action: Real-World Use Cases (Traditional Chinese)
本課程概述了生成式 AI 的使用案例，及其帶來的商業價值。內容涵蓋生成式 AI 在各大產業中的實際應用和案例研究。
課程等級：基礎
持續時間：75 分鐘
注意：本課程具有本地化的註釋/字幕。旁白保留英語。要顯示字幕，請按一下播放器右下角的 CC 按鈕。
本課程內容包括簡報、實際範例和案例研究。
課程目標中，您將學習以下內容：
了解生成式 AI 的四個核心目標.
AWS Skill Builder
AWS Flash - Introduction to Responsible AI (Japanese)
このコースでは、責任ある AI とは何か、そしてなぜそれが生成 AI の文脈において重要なのかを概説します。責任ある AI とは、倫理的、透明、公正、かつ説明責任のある方法で AI を開発、デプロイ、使用することです。このコースでは、責任ある AI の主な要素と、公平性、説明可能性、プライバシー、堅牢性、ガバナンス、透明性に関するベストプラクティスの確立について.
AWS Skill Builder
AWS Flash - Chalk Talks: Generative AI on AWS (Simplified Chinese)
本课程概述了可供客户在 AWS 上构建生成式人工智能应用程序的选项。 本课程将着重介绍如何利用 Amazon SageMaker Jumpstart 上的基础模型来构建生成式人工智能应用程序。
课程级别：基础级
时长：55 分钟
注意：本课程具有本地化的注释/字幕。 旁白保留英语。要显示字幕，请单击播放器右下角的 CC 按钮。
课程内容
本课程包括幻灯片内容和演示。
课程目标
在本课程中.
AWS Skill Builder
AI Ethics at SAP
SAP recognizes the transformative potential of artificial intelligence (AI) for businesses, governments, and society. However, the rapid adoption of AI technologies brings with it various economic, political, and social challenges. The current pace of technological advancement has outstripped the establishment of sufficient governmental guidelin.
SAP Learning
Introduction to Generative AI for Data Analysis
Welcome to the Introduction to Generative AI for Data Analysis, a foundational course designed to provide you with a comprehensive understanding of generative AI and its practical applications in the field of data analysis.
Throughout this course, you will:
Define generative AI and understand its pivotal role in data analysis.
Explor.
Coursera
Advanced Data Analysis with Generative AI
Join the course 'Advanced Data Analysis with Generative AI' to explore sophisticated analytical methods using AI. You'll gain hands-on experience with predictive modeling, time-series forecasting, and anomaly detection to uncover patterns in complex datasets. This course also covers text data analysis, which allows you to derive insights from un.
Coursera
Scenario and Root Cause Analysis with Generative AI
Join our comprehensive course on Scenario and Root Cause Analysis with Generative AI offered by Coursera. This program is designed to equip you with the skills to apply generative AI in scenario planning and root cause analysis.
Throughout the course, you will:
Conduct scenario analysis using advanced generative AI models
Perform root c.
Coursera
Coding and Automation for Data Analysis with Generative AI
Embark on a transformative journey with our course on Coding and Automation for Data Analysis with Generative AI. Designed for aspiring data analysts and seasoned professionals alike, this course will guide you through using AI-powered tools for optimized code generation.
Focus on mastering SQL, Python, and R for efficient data analysis as you.
Coursera
GenAI in Business: Discover the Possibilities
Embark on the first course in the Generative AI in Business series, where you'll be introduced to the "See" phase of the See, Plan, Act framework. This course offers an in-depth exploration of how generative AI is revolutionizing industries by automating routine tasks and enhancing customer interactions and strategic insights.
Through an ins.
Coursera
GenAI in Business: Planning Framework for Implementation
GenAI in Business: Planning Framework for Implementation - University of Michigan | Coursera
Join the University of Michigan's 'GenAI in Business: Planning Framework for Implementation' course on Coursera, an insightful journey into the planning phase of AI implementation in business. This course delves into the "Plan" stage of the "See, Plan,.
Coursera
GenAI in Business: Strategies for Successful Execution
In the final installment of the 'Generative AI in Business' series, this course focuses on the critical 'Act' phase of the 'See, Plan, Act' framework. Dive deep into a structured, five-step methodology to build, launch, and scale the generative AI solution you've meticulously crafted. Analyze what drives the long-term success of your GenAI p.
Coursera