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所在平台: Udemy |
课程主页: https://www.udemy.com/course/developing-generative-ai-applications-on-aws-bedrock/
课程评论：没有评论
**课程名称：** 在 AWS (Bedrock) 上开发生成式 AI 应用 **课程概述：** 本课程采用“从零到英雄”的教学模式，全面涵盖了在 AWS 上开发生成式 AI 应用所需的知识，从基础概念到高级技能，以及所有必要的先修知识。即使是 IT 背景但非开发人员，也能轻松入门。课程内容包括 15% 的理论讲解和 85% 的动手实验。 **学习要点：** * **掌握 Linux 和 Python：** 学习开发和部署 AI 应用必不可少的 Linux 和 Python 基础知识。 * **精通机器学习概念：** 了解机器学习的核心概念和技术，包括监督学习、无监督学习、模型评估和优化。 * **开发生成式 AI 应用：** 实践自然语言处理 (NLP)、Hugging Face、Langchain、提示工程，以及微调大型语言模型 (LLM)。 * **实施 AI 安全措施：** 学习如何应用负责任的 AI 政策，例如过滤有害内容和敏感信息，以确保 AI 应用的合规性和道德性。 **为何选择本课程：** * **专家指导：** 由拥有超过 18 年云计算、DevOps 和生成式 AI 丰富经验的 Anil Bidari 授课。 * **实践学习：** 通过实际项目和真实场景应用，巩固所学知识。 * **全面课程：** 涵盖从基础知识到高级部署技术的全方位内容。 **立即加入本课程，您将能够熟练地在 AWS 上开发生成式 AI 应用，在快速发展的 AI 领域保持竞争优势。**
What You'll Learn: Zero to Hero Program - We covered everything right from basics to advanced to all Pre-requisite learning you need before learning GenAI on AWS.even non developers can start as long as your from IT background15% theory and 85% handson Lab sessionsUnderstand Linux and Python:Gain foundational knowledge of Linux and Python, essential for developing and deploying AI applications.Master Machine Learning Concepts:Learn the core concepts and techniques of machine learning, including supervised and unsupervised learning, model evaluation, and optimisation.Develop Generative AI Applications:Handson Knowledge on NLP, Hugging face, Langchain, prompt engineering,Fine tune LLM ModelImplement AI Safeguards:Learn how to apply responsible AI policies, including filtering harmful content and redacting sensitive information, to ensure ethical AI application deployment.Why Enroll:Expert Instruction: Benefit from the expertise of Anil Bidari, a seasoned professional with over 18 years of experience in cloud computing, DevOps, and Generative AI.Hands-On Learning: Engage in practical projects and real-world applications to solidify your understanding.Comprehensive Curriculum: Covering everything from foundational knowledge to advanced deployment techniques.Join this course to become proficient in developing Generative AI applications on AWS, ensuring you stay ahead in the rapidly evolving field of AI.
