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Understand and Apply AI Fundamentals with AWS · LearnSpace
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Understand and Apply AI Fundamentals with AWS

Курс от EDUCBA
Начальный≈ 13.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Artificial IntelligenceAmazon Web ServicesUnsupervised LearningConvolutional Neural NetworksDeep LearningSupervised LearningNatural Language ProcessingAI literacyData EthicsArtificial Intelligence and Machine Learning (AI/ML)Model DeploymentMachine LearningAmazon BedrockResponsible AIMachine Learning MethodsMachine Learning AlgorithmsAWS SageMakerArtificial Neural NetworksModel TrainingLLM Application

Программа курса

6 модулей · 94 учебных материалов

01Foundations of Artificial Intelligence13 материалов

Understanding Artificial Intelligence

Definition and Brief History of AI Part 1ВидеоDefinition and Brief History of AI Part 2ВидеоImportance and Applications of AIВидеоUnderstanding Artificial IntelligenceЗадание

AI in Society

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EDUCBA

Преподаватель курса

Understand and Apply AI Fundamentals with AWS
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 13.1 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
AI Ethics and Societal ImpactsВидео
IntroductionВидео
AI in SocietyЗадание

Core Reasoning Foundations

Logic and ReasoningВидеоProbability and StatisticsВидеоCore Reasoning FoundationsЗаданиеUnderstanding What Makes Systems Intelligent: AI Foundations in PracticeDIALOGUEGraded-Foundations of Artificial IntelligenceЗаданиеExplaining AI Decisions: Balancing Logic, Uncertainty, and EthicsDIALOGUE
02Classical AI and Problem-Solving10 материалов

Search and Knowledge Representation

Search AlgorithmsВидеоKnowledge Representation and ReasoningВидеоSearch and Knowledge RepresentationЗадание

Machine Learning Overview

Introduction to Machine Learning AIВидеоSupervised LearningВидеоMachine Learning OverviewЗадание

Unsupervised Learning Fundamentals

Unsupervised LearningВидеоClusteringВидеоUnsupervised Learning FundamentalsЗаданиеGraded-Classical AI and Problem-SolvingЗадание
03Machine Learning Techniques12 материалов

Data Similarity and Reduction

Distance MeasuresВидеоDimensionality Reductio Part 1ВидеоDimensionality Reductio Part 2ВидеоData Similarity and ReductionЗадание

Pattern Discovery

Association Rule LearningВидеоReinforcement LearningВидеоPattern DiscoveryЗадание

Reinforcement Learning Types

Types of Reinforcement Learning Part 1ВидеоTypes of Reinforcement Learning Part 2.1ВидеоTypes of Reinforcement Learning Part 2.2ВидеоReinforcement Learning TypesЗаданиеGraded-Machine Learning TechniquesЗадание
04Deep Learning and Advanced AI15 материалов

Neural Network Foundations

Neural Networks Basics Part 1ВидеоNeural Networks Basics Part 2ВидеоDeep Learning IntroductionВидеоNeural Network FoundationsЗадание

Specialized Neural Architectures

Convolutional Neural Networks (CNNs) Part 1ВидеоConvolutional Neural Networks (CNNs) Part 2ВидеоRecurrent Neural Networks (RNN) Part 1ВидеоRecurrent Neural Networks (RNN) Part 2ВидеоRecurrent Neural Networks (RNN) Part 3ВидеоSpecialized Neural ArchitecturesЗадание

Modern Learning Paradigms

Generative Models Part 1ВидеоGenerative Models Part 2ВидеоTransfer Learning and Fine TuningВидеоModern Learning ParadigmsЗаданиеGraded-Deep Learning and Advanced AIЗадание
05AI Applications and AWS AI Services12 материалов

AI in Practice

Introduction to AWS Certified AI PractitionerВидеоUnderstanding AI and MLВидеоAI in PracticeЗадание

AI Domains and Industry Use

Natural Language Processing (NLP)ВидеоComputer Vison (CV)ВидеоApplications of AI in Various IndustriesВидеоAI Domains and Industry UseЗадание

Machine Learning Comparisons

Supervised vs Unsupervised Machine LearningВидеоAlgorithms of Supervised and Unsupervised Machine LearningВидеоReinforcement Learning (RL)ВидеоMachine Learning ComparisonsЗаданиеGraded-AI Applications and AWS AI ServicesЗадание
06Building, Deploying, and Mastering AI Solutions32 материалов

AWS AI Services Essentials

Principal Component Analysis (PCA)ВидеоBasic QuestionsВидеоIntroduction to AWS AI ServicesВидеоAWS AI Services EssentialsЗадание

AWS AI Tools and Implementation

Amazon SageMakerВидеоAws DeepLensВидеоAmazon ComprehendВидеоCase StudiesВидеоAWS AI Tools and ImplementationЗадание

Deployment, Ethics, and Exam Readiness

Intermediate Questions Part 1ВидеоIntermediate Questions Part 2ВидеоImplementing AI Solutions with AWSВидеоWoring with Amazon SageMakerВидеоUsing AWS LexВидеоUsing AWS PollyВидео
AWS RekognitionВидео
Combining AWS ServicesВидео
Understanding Foundation ModelsВидео
Model Selection and ArchitectureВидео
Data Preperation and PreprocessingВидео
Model Training and OptimizationВидео
Model Evaluation and DeploymentВидео
SummaryВидео
Ethical Considerations and Best Practices in AI-MLВидео
Introduction to Prompt EngineeringВидео
Continuous ImprovementВидео
Exam OverviewВидео
Advanced Questions Part 1Видео
Advanced Questions Part 2Видео
Deployment, Ethics, and Exam ReadinessЗадание
Graded-Building, Deploying, and Mastering AI SolutionsЗадание
Designing and Deploying a Responsible AI Solution End-to-EndDIALOGUE