|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/genai-and-predictive-ai-architecture/
课程评论：没有评论
课程名称：生成型AI与预测型AI架构 课程概述：随着人工智能（AI）的快速发展，生成型AI和预测型AI作为两大变革性分支相继崛起。本课程全面探讨这两种AI的架构基础、关键组成部分及其在企业环境中的实际应用。针对AI专业人士、数据科学家和商业领袖，该课程深入分析这两种AI范式的工作原理、独特优势以及它们在自动化和决策制定中的未来作用。 课程内容包括： 1. **生成型AI架构与关键组成部分**：学习者将了解生成型AI的基础层次，以及生成对抗网络（GAN）、变分自编码器（VAE）和扩散模型等各种模型如何生成新内容。同时，将探讨不同类型生成型AI模型及其输出，并讨论在各个领域有效利用生成型AI的最佳实践。 2. **传统AI与生成型AI的比较**：通过比较传统AI与生成型AI、对话AI与生成型AI的不同，帮助学习者明确何时采用这些技术。 3. **企业生成型AI架构层次与组件**：涵盖企业实施策略及超过40个生成型AI的实际应用案例，以及7个最受欢迎的生成型AI工具和平台。 4. **预测型AI架构**：探讨预测型AI的架构，包括其层级和模型，及其在实际应用中的工作方式。分析与生成型AI在架构、目的及实施上的差异，以帮助专业人士在部署AI解决方案时做出明智的决策。 5. **实际实施**：实际课程将通过真实案例指导学习者如何在组织中实施预测型AI。 6. **AI监控框架**：最后，课程将审视AI监控框架，重点讨论生成型AI监控架构与预测型AI监控架构，确保AI系统保持高效、伦理和可靠。 完成本课程后，参与者将具备选择大型语言模型（LLMs）与生成型AI的能力，以及深入理解生成型AI与预测型AI应用之间的基本区别。
The rapid advancements in artificial intelligence (AI) have led to the rise of two transformative branches: Generative AI and Predictive AI. This comprehensive course explores their architectural foundations, key components, and practical applications in enterprise environments. Designed for AI professionals, data scientists, and business leaders, this course provides a deep dive into how these two AI paradigms work, their unique advantages, and their role in shaping the future of automation and decision-making.The course begins with an in-depth exploration of Generative AI Architecture & Key Components, where learners will understand the essential layers within Generative AI and how various models, such as GANs, VAEs, and diffusion models, generate new content. We will examine Types of Generative AI Models and their outputs, followed by discussions on best practices for leveraging Generative AI effectively in different domains. A comparative analysis of Traditional AI vs. Generative AI and Conversational AI vs. Generative AI will provide clarity on when to adopt these technologies. Enterprise implementation strategies will be covered in Enterprise Generative AI Architecture Layers & Components, along with real-world examples of Top 40+ Generative AI Use Cases and the Top 7 Most Popular Generative AI Tools and Platforms.Moving to Predictive AI, the course explores Predictive AI Architecture, including its layers and models, and delves into how Predictive AI works in real-world applications. We will discuss differences in architecture, purpose, and implementation compared to Generative AI, helping professionals make informed decisions when deploying AI solutions. Practical sessions on implementing Predictive AI in organizations will guide learners through real-world case studies.Finally, the course examines AI monitoring frameworks, focusing on Generative AI Monitoring Architecture and Predictive AI Monitoring Architecture to ensure AI systems remain efficient, ethical, and reliable. By the end of this course, participants will have a robust understanding of how to choose between Large Language Models (LLMs) and Generative AI, as well as the fundamental distinctions between Generative AI and Predictive AI applications.
