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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-ai-applications-with-databricks-and-gen-ai/
课程评论：没有评论
课程名称：使用Databricks和生成性人工智能构建AI应用程序 课程概述：本课程将全面教授如何通过结合Databricks和大型语言模型（LLMs）的强大功能来开发前沿的AI应用程序。您将学习如何利用Databricks进行大规模数据处理、特征工程和模型训练，同时整合先进的LLMs以完成自然语言处理（NLP）任务，例如文本分类、摘要、语义搜索和对话AI。通过实践实验和真实项目，您将获得构建能够理解、处理和生成自然语言的智能系统的实践经验。本课程非常适合希望在快速发展的AI领域中走在前沿的数据科学家、机器学习工程师和开发者。课程结束时，您将对如何使用Databricks和LLMs构建端到端AI管道、部署可扩展的NLP应用程序以及应用行业最佳实践进行模型集成和性能优化有深入了解。 课程亮点： - 使用Databricks进行可扩展的数据处理和机器学习 - 基于先进大语言模型的NLP应用程序 - 实践性的项目学习方法 - 真实世界的AI应用案例和部署策略 - 使用向量搜索索引来存储索引 - 使用工作流定期刷新数据的端到端流程 - 使用无服务器计算刷新数据 - 使用Databricks应用程序部署应用程序 该课程将为您在AI应用开发领域打下坚实的基础。
This comprehensive course will teach you how to develop cutting-edge AI applications by combining the power of Databricks and Large Language Models (LLMs). You will explore how to leverage Databricks for large-scale data processing, feature engineering, and model training, while integrating advanced LLMs for natural language processing (NLP) tasks such as text classification, summarization, semantic search, and conversational AI.Through hands-on labs and real-world projects, you will gain practical experience in building intelligent systems that can understand, process, and generate human language. This course is ideal for data scientists, machine learning engineers, and developers who want to stay ahead in the rapidly evolving world of AI.By the end of the course, you will have a strong understanding of how to architect end-to-end AI pipelines using Databricks and LLMs, deploy scalable NLP applications, and apply industry best practices for model integration and performance optimization.Key Highlights:Scalable data processing and ML using DatabricksNLP-powered applications with state-of-the-art LLMsPractical, project-based learning approachReal-world AI use cases and deployment strategiesUse Vector Search indexes to store indexesUse workflows to refresh the data end - end on schedule basisUse Serverless compute to refresh the dataUse Databricks Apps to deploy the application
