EDUCBA

Apply AI Foundations with Python and AWS 专项课程

EDUCBA

Apply AI Foundations with Python and AWS 专项课程

AI Fundamentals with Python and AWS. Build strong AI foundations and apply machine learning concepts using Python and AWS services.

EDUCBA

位教师:EDUCBA

访问权限由 New York State Department of Labor 提供

深入学习学科知识
初级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
初级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Explain core artificial intelligence concepts, reasoning methods, and ethical considerations.

  • Apply Python libraries to analyze data and build foundational machine learning models.

  • Evaluate and apply AI solutions using AWS services in real-world use cases.

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言:英语(English)
最近已更新!

January 2026

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

精进特定领域的专业知识

  • 向大学和行业专家学习热门技能
  • 借助实践项目精通一门科目或一个工具
  • 培养对关键概念的深入理解
  • 通过 EDUCBA 获得职业证书

专业化 - 4门课程系列

您将学到什么

  • Explain core AI, machine learning, and deep learning concepts and how AI systems work.

  • Analyze AI applications such as NLP, computer vision, generative AI, and ethical AI practices.

  • Evaluate and apply AWS AI services to design real-world, scalable AI solutions.

您将获得的技能

类别:Artificial Intelligence
类别:Amazon Web Services
类别:Unsupervised Learning
类别:Reinforcement Learning
类别:Deep Learning
类别:Convolutional Neural Networks
类别:Ethical Standards And Conduct
类别:Natural Language Processing
类别:Supervised Learning
类别:AWS SageMaker
类别:Machine Learning
类别:Applied Machine Learning
类别:Model Deployment
类别:Responsible AI
类别:Artificial Intelligence and Machine Learning (AI/ML)

您将学到什么

  • Explain core Artificial Intelligence concepts and how Python supports AI workflows.

  • Apply NumPy for numerical computing and data manipulation.

  • Analyze and visualize data using Matplotlib and Seaborn to identify patterns and insights.

您将获得的技能

类别:AI Workflows
类别:Artificial Intelligence

您将学到什么

  • Explain core AI concepts and analyze intelligent reasoning and search-based methods.

  • Apply machine learning techniques including supervised, unsupervised, and clustering methods.

  • Evaluate reinforcement learning approaches used in real-world intelligent systems.

您将获得的技能

类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Data Ethics
类别:Data-Driven Decision-Making

您将学到什么

  • Explain core machine learning concepts and prepare data using Python libraries.

  • Visualize and analyze datasets using NumPy, Pandas, and Matplotlib.

  • Build and evaluate basic machine learning models using Scikit-learn.

您将获得的技能

类别:Data Preprocessing
类别:Pandas (Python Package)
类别:NumPy
类别:Regression Analysis
类别:Data Manipulation
类别:Model Evaluation
类别:Scikit Learn (Machine Learning Library)
类别:Exploratory Data Analysis
类别:Applied Machine Learning
类别:Matplotlib
类别:Python Programming
类别:Supervised Learning
类别:Feature Engineering
类别:Machine Learning

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

EDUCBA
EDUCBA
913 门课程 219,908 名学生

提供方

EDUCBA

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情,我就可以学习。'

Jennifer J.

自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程,Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好:它远不止于此。Coursera 让我无限制地学习。'