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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-mlops-for-data-scientists-devops-engineers-aws/
课程评论：没有评论
课程名称：AWS下的MLOps - 启程至英雄系列 课程概述： 欢迎来到“针对数据科学家和DevOps工程师的实用MLOps与AWS课程”。这个全面的课程旨在帮助那些希望在人工智能和机器学习 (AI/ML) 开发或数据科学领域取得新突破的专业人士，培养超越基础的生产级思维方式。 课程内容： 1. 技能提升：学习设计、构建、部署、优化、训练、调优和维护基于AWS云的机器学习解决方案，采用与DevOps最佳实践相结合的生产级思维。 2. 超越基础：在大规模的云数据集中应用模型训练最佳实践，确保一致性功能的部署最佳实践，并实施操作最佳实践以保证零停机。 3. 结构化学习路径：通过详细的解释、实践练习和相关演示，掌握处理现实商业挑战的能力，运用AWS实现可扩展解决方案。 课程结构： - **第一部分：AWS MLOps课程与讲师介绍** 熟悉课程目标及经验丰富的讲师。 - **第二部分：了解MLOps** 深入核心概念，了解MLOps的重要性和应用。 - **第三部分：数据科学家的DevOps原则** 探索针对数据科学家的DevOps原则，缩小开发与运维之间的差距。 - **第四部分：AWS入门** 熟悉AWS平台，为后续各节打下基础。 - **第五到第十六部分：深入探索** 综合探讨包括AWS CodeBuild、AWS CodeDeploy、AWS CodePipeline、Docker容器、Amazon SageMaker、特征工程、SageMaker管道等关键主题。 实践学习：现实世界应用 涵盖的工具和技术： - 数据摄取与收集 - 数据处理和ETL（提取、转换、加载） - 数据分析与可视化 - 模型训练与部署/推理 - 机器学习的操作方面 - AWS机器学习应用服务 - 笔记本和集成开发环境（IDE） - 与AWS CodeCommit的版本控制 - Amazon Athena、AWS Batch、Amazon EC2 - Amazon Elastic Container Registry（ECR）、AWS Glue - Amazon CloudWatch、AWS Lambda - Amazon S3用于存储和可扩展性 课程材料访问： 所有课程材料，包括源代码，均可通过GitHub方便访问，随时获取最新动态。 加入MLOps之旅：提升技能，从现在开始 为什么选择本课程？ - 训练生产级思维，结合AI/ML与DevOps实践。 - 掌握在可扩展数据集上部署解决方案的能力，超越个人笔记本电脑的限制。 - 全面探讨MLOps所需的AWS服务。 - 现实应用与实践项目，确保有效学习。 在MLOps领域的成功从这里开始： 装备自己，掌握AWS平台上的最新工具和最佳实践。自信地应对复杂的商业挑战，推动职业生涯迈上新台阶。 立即报名：点击“立即注册”按钮，开始变革性的学习旅程，将你的AI/ML和DevOps技能提升到一个新的水平，有效解决复杂的商业挑战。在MLOps的世界中，你的成功从这里开始！
Welcome to "Practical MLOps for Data Scientists & DevOps Engineers with AWS"Are you ready to propel your career in artificial intelligence and machine learning (AI/ML) development or data science to new heights? This comprehensive course is meticulously crafted for individuals with aspirations to excel in these domains, providing a Production Level mindset that goes beyond the basics.Course Overview: Mastering MLOps with AWS**1. Elevate Your Skills:Design, build, deploy, optimize, train, tune, and maintain ML solutions using AWS Cloud.Adopt a Production Level mindset tailored for Machine Learning in conjunction with DevOps best practices.**2. Beyond Basics:Employ model-training best practices on extensive cloud-based datasets.Demonstrate expertise in deployment best practices for consistent functionality.Implement operational best practices to guarantee zero downtime.**3. Structured Learning Path:Follow a logical, structured path with in-depth explanations, practical exercises, and relevant demonstrations.Gain proficiency in tackling real-world business challenges by implementing scalable solutions on AWS.Course Structure: Journey Through MasterySection 1: Introduction to the AWSMLOPS Course and InstructorGet acquainted with the course objectives and the experienced instructor leading the way.Section 2: Understanding MLOpsDelve into the core concepts of MLOps, understanding its significance and application.Section 3: DevOps Principles for Data ScientistsExplore the principles of DevOps tailored for data scientists, bridging the gap between development and operations.Section 4: Getting Started with AWSAcquaint yourself with the AWS platform, laying the foundation for subsequent sections.Sections 5-16: In-Depth ExplorationA comprehensive exploration of key topics, including AWS CodeBuild, AWS CodeDeploy, AWS CodePipeline, Docker Containers, Amazon SageMaker, Feature Engineering, SageMaker Pipelines, and much more.Hands-On Learning: Real-World ApplicationsTools and Technologies Covered:Data Ingestion and CollectionData Processing and ETL (Extract, Transform, Load)Data Analysis and VisualizationModel Training and Deployment/InferenceOperational Aspects of Machine LearningAWS Machine Learning Application ServicesNotebooks and Integrated Development Environments (IDEs)Version Control with AWS CodeCommitAmazon Athena, AWS Batch, Amazon EC2Amazon Elastic Container Registry (Amazon ECR), AWS GlueAmazon CloudWatch, AWS LambdaAmazon S3 for Storage and ScalabilityAccess to Course Materials:All course materials, including source code, are available on GitHub for convenient access from anywhere.Stay updated with the latest advancements through easy access to the latest updates.Embark on the MLOps Journey: Elevate Your Skills TodayWhy Choose This Course?Gain a Production Level mindset tailored for AI/ML in conjunction with DevOps practices.Acquire proficiency in deploying solutions on scalable datasets beyond personal laptops.Comprehensive exploration of AWS services crucial for MLOps.Real-world applications and hands-on projects for practical learning.Your Success in MLOps Begins Here:Equip yourself with the latest tools and best practices on the AWS platform.Tackle complex business challenges with confidence.Propel your career to new heights in the world of MLOps.Enroll Now: Take the leap into mastering MLOps with AWS. Click the "Enroll Now" button to embark on a transformative learning journey. Elevate your AI/ML and DevOps skills to the next level and solve complex business challenges effectively. Your success in the world of MLOps begins here and now!
