Understand and Apply AI Fundamentals with AWS

本课程是 Apply AI Foundations with Python and AWS 专项课程的一部分

位教师：EDUCBA

访问权限由 New York State Department of Labor 提供

6个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

1 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 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

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

24 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

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

积累特定领域的专业知识

本课程是 Apply AI Foundations with Python and AWS 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有6个模块

By the end of this course, learners will be able to explain core artificial intelligence concepts, analyze machine learning approaches, apply deep learning principles, and evaluate AI solutions using AWS services.

This comprehensive course is designed to build strong foundations in AI fundamentals and core concepts, progressing from classical AI techniques and machine learning to deep learning, generative models, and real-world AI applications. Learners will gain a clear understanding of how AI systems reason, learn, and make decisions, supported by practical insights into NLP, computer vision, reinforcement learning, and ethical AI practices. What makes this course unique is its balanced blend of theory, practice, and cloud-based implementation. It not only explains how AI works, but also how AI is applied at scale using AWS AI services such as SageMaker, Lex, Polly, Rekognition, and foundation models. Structured modules, lesson-wise objectives, practice quizzes, and graded assessments ensure progressive mastery and exam readiness. This course is ideal for beginners, aspiring AI practitioners, and professionals preparing for the AWS Certified AI Practitioner exam, enabling learners to confidently apply AI concepts to real-world business and industry use cases.

This module introduces the fundamental concepts of Artificial Intelligence, including its history, importance, ethical considerations, and the logical and statistical foundations that support intelligent systems.

涵盖的内容

7个视频4个作业

7个视频总计42分钟

Definition and Brief History of AI Part 18分钟
Definition and Brief History of AI Part 28分钟
Importance and Applications of AI3分钟
AI Ethics and Societal Impacts10分钟
Introduction2分钟
Logic and Reasoning7分钟
Probability and Statistics5分钟

4个作业总计60分钟

Understanding Artificial Intelligence10分钟
AI in Society10分钟
Core Reasoning Foundations10分钟
Graded-Foundations of Artificial Intelligence30分钟

This module explores classical AI techniques such as search algorithms, knowledge representation, and foundational machine learning approaches, focusing on how machines solve problems and identify patterns.

涵盖的内容

6个视频4个作业

6个视频总计33分钟

Search Algorithms3分钟
Knowledge Representation and Reasoning5分钟
Introduction to Machine Learning AI4分钟
Supervised Learning6分钟
Unsupervised Learning6分钟
Clustering9分钟

4个作业总计60分钟

Search and Knowledge Representation10分钟
Machine Learning Overview10分钟
Unsupervised Learning Fundamentals10分钟
Graded-Classical AI and Problem-Solving30分钟

This module provides an in-depth understanding of core machine learning techniques, including similarity measures, dimensionality reduction, pattern discovery, and reinforcement learning methods.

涵盖的内容

8个视频4个作业

8个视频总计70分钟

Distance Measures5分钟
Dimensionality Reductio Part 16分钟
Dimensionality Reductio Part 28分钟
Association Rule Learning12分钟
Reinforcement Learning11分钟
Types of Reinforcement Learning Part 113分钟
Types of Reinforcement Learning Part 2.16分钟
Types of Reinforcement Learning Part 2.29分钟

4个作业总计60分钟

Data Similarity and Reduction10分钟
Pattern Discovery10分钟
Reinforcement Learning Types10分钟
Graded-Machine Learning Techniques30分钟

This module introduces deep learning concepts, neural network architectures, and advanced AI paradigms such as generative models and transfer learning used in modern AI applications.

涵盖的内容

11个视频4个作业

11个视频总计84分钟

Neural Networks Basics Part 16分钟
Neural Networks Basics Part 29分钟
Deep Learning Introduction8分钟
Convolutional Neural Networks (CNNs) Part 16分钟
Convolutional Neural Networks (CNNs) Part 28分钟
Recurrent Neural Networks (RNN) Part 16分钟
Recurrent Neural Networks (RNN) Part 27分钟
Recurrent Neural Networks (RNN) Part 37分钟
Generative Models Part 17分钟
Generative Models Part 212分钟
Transfer Learning and Fine Tuning9分钟

4个作业总计60分钟

Neural Network Foundations10分钟
Specialized Neural Architectures10分钟
Modern Learning Paradigms10分钟
Graded-Deep Learning and Advanced AI30分钟

This module focuses on practical AI applications across industries and introduces AWS AI services, enabling learners to understand how AI solutions are deployed at scale.

涵盖的内容

8个视频4个作业

8个视频总计12分钟

Introduction to AWS Certified AI Practitioner0分钟
Understanding AI and ML3分钟
Natural Language Processing (NLP)1分钟
Computer Vison (CV)2分钟
Applications of AI in Various Industries2分钟
Supervised vs Unsupervised Machine Learning1分钟
Algorithms of Supervised and Unsupervised Machine Learning2分钟
Reinforcement Learning (RL)1分钟

4个作业总计60分钟

AI in Practice10分钟
AI Domains and Industry Use10分钟
Machine Learning Comparisons10分钟
Graded-AI Applications and AWS AI Services30分钟

This module covers the end-to-end AI lifecycle, including model building, deployment, ethical best practices, AWS implementation, prompt engineering, and exam readiness.