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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/azure-data-scientist
课程评论：没有评论
课程名称：Microsoft Azure数据科学家助理 - DP-100考试准备 课程概述： 本课程旨在帮助学习者掌握在Azure上管理机器学习资源的技能，包括运行实验、训练模型以及部署和操作符合道德标准的机器学习解决方案。学习者将学会如何规划和创建数据科学工作负载的工作环境，并使用Azure Machine Learning Python SDK创建和管理企业级的机器学习解决方案。此外，课程还将教导学员利用Apache Spark和在Azure Databricks平台上运行的强大集群来执行数据科学工作负载。 学习目标： - 管理Azure机器学习资源 - 部署和操作机器学习解决方案 - 运行实验并训练模型 - 实施负责任的机器学习 - 掌握有监督学习、回归分析等技能 - 使用Azure Machine Learning SDK进行模型训练 - 选择模型并保护敏感数据 - 协调管道并使用Azure Machine Learning部署实时机器学习服务 课程特点： - 学习者完成所有课程后将获得DP-100认证考试50%的折扣券。 - 本课程适合已有Python和机器学习框架（如Scikit-Learn、PyTorch和Tensorflow）基础的学员，旨在帮助他们在云端构建和操作机器学习解决方案。 - 包含5个课程模块，准备学员参加DP-100认证考试，证明其在使用Azure Machine Learning操作云规模机器学习解决方案的知识和专业技能。 应用学习项目： 课程中融入了互动练习，允许学员在Azure门户上直接实践所学内容，使用Microsoft Learn Sandbox进行实际操作。Sandbox环境提供免费的、限定时间的Azure访问，不需要信用卡，学员可以在安全的环境中探索和管理资源。 结业证书： 完成课程后可获得可分享的证书，课程100%在线，自主安排学习时间，建议每周学习4小时，预计约7个月完成。 适合人群： 本课程为中级水平，需要学习者具备训练机器学习模型的经验。 传授语言： 英语，配有英文字幕。
Course Link: https://www.coursera.org/learn/create-machine-learning-models-in-microsoft-azure
Name:Create Machine Learning Models in Microsoft Azure
Description:Offered by Microsoft. Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about ... Enroll for free.
Course Link: https://www.coursera.org/learn/microsoft-azure-machine-learning-for-data-scientist
Name:Microsoft Azure Machine Learning for Data Scientists
Description:Offered by Microsoft. Machine learning is at the core of artificial intelligence, and many modern applications and services depend on ... Enroll for free.
Course Link: https://www.coursera.org/learn/build-and-operate-machine-learning-solutions-with-azure
Name:Build and Operate Machine Learning Solutions with Azure
Description:Offered by Microsoft. Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. ... Enroll for free.
Course Link: https://www.coursera.org/learn/perform-data-science-with-azure-databricks
Name:Perform data science with Azure Databricks
Description:Offered by Microsoft. In this course, you will learn how to harness the power of Apache Spark and powerful clusters running on the Azure ... Enroll for free.
Course Link: https://www.coursera.org/learn/prepare-for-dp-100-design-a-data-science-solution-on-azure
Name:Prepare for DP-100: Data Science on Microsoft Azure Exam
Description:Offered by Microsoft. Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed ... Enroll for free.
What you will learn
To manage Azure resources for machine learning; run experiments and train models; and deploy and operationalize ethical machine learning solutions.
How to plan and create a working environment for data science workloads on Azure and how to run data experiments and train predictive models.
You will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions.
You will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data science workloads.
Skills you will gain
Manage Azure resources for machine learning
Deploy and operationalize machine learning solutions
Run experiments and train models
Implement responsible machine learning
Machine Learning
Supervised Learning
Regression Analysis
regression
Work with Data and Compute in Azure Machine Learning
Use the Azure Machine Learning SDK to train a model
Select models and protect sensitive data
Orchestrate pipelines and deploy real-time machine learning services with Azure Machine Learning
Earn 50% off your Microsoft Azure Data Fundamentals DP-100 Certification Exam
Learners who pass all courses will receive a voucher for 50% off the DP-100 Certification Exam.
About this Specialization
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This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Specialization teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. By the end of this program, you will be ready to take the DP-100: Designing and Implementing a Data Science Solution on Azure.
Applied Learning Project
Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They will work directly in the Azure Portal and use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services.
For example, when you learn about training a deep neural network; you will work in a temporary Azure environment called the Sandbox. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.
You will need a Microsoft account. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Some experience in training machine learning models with Python and open-source frameworks like Scikit-Learn, PyTorch, and Tensorflow.
Hours to complete
Approximately 7 months to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Some experience in training machine learning models with Python and open-source frameworks like Scikit-Learn, PyTorch, and Tensorflow.
Hours to complete
Approximately 7 months to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English
