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Master AI & AWS Cloud Skills: Analyze, Build, Deploy · LearnSpace
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Master AI & AWS Cloud Skills: Analyze, Build, Deploy

Курс от EDUCBA
Начальный≈ 7.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Learners will be able to explain core AI concepts, differentiate machine learning techniques, analyze AWS AI services, apply model training workflows, and evaluate end-to-end AI solutions using real-world examples. This course equips participants with a complete understanding of Artificial Intelligence fundamentals while developing practical cloud skills using AWS tools such as SageMaker, Comprehend, Rekognition, Lex, and Polly. Through clear video-based instruction and structured module progression, learners gain the ability to design conversational agents, build computer vision pipelines, prepare datasets, train and optimize ML models, implement foundation models, and deploy intelligent cloud applications. By completing hands-on demonstrations and graded assessments, learners strengthen their technical confidence and prepare for the AWS Certified AI Practitioner exam. What makes this course unique is its step-by-step learning path, AWS-focused practical guidance, and real-world case studies that connect AI theory with cloud implementation. The course blends foundational knowledge with applied AWS workflows, making it ideal for beginners, aspiring cloud practitioners, and professionals seeking to expand their AI and ML capabilities.

Навыки, которые вы освоите

Machine LearningAmazon Web ServicesComputer VisionSupervised LearningModel OptimizationPrompt EngineeringModel TrainingAWS SageMakerArtificial IntelligenceResponsible AIMachine Learning AlgorithmsImage AnalysisMachine Learning MethodsModel DeploymentApplied Machine LearningAI WorkflowsData EthicsAmazon BedrockAI literacyArtificial Intelligence and Machine Learning (AI/ML)

Программа курса

4 модулей · 52 учебных материалов

01Foundations of AI & Machine Learning15 материалов

AI Fundamentals & Core Concepts

IntroductionВидеоUnderstanding AI and MLВидеоNatural Language Processing (NLP)ВидеоComputer Vison (CV)Видео

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EDUCBA

Преподаватель курса

Master AI & AWS Cloud Skills: Analyze, Build, Deploy
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Обучение на Coursera

≈ 7.3 ч

4 модулей

Язык: Английский

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

Часть программы вашего университета
AI Fundamentals & Core ConceptsЗадание

Machine Learning Essentials

Applications of AI in Various IndustriesВидеоSupervised vs Unsupervised Machine LearningВидеоAlgorithms of Supervised and Unsupervised Machine LearningВидеоMachine Learning EssentialsЗадание

Advanced ML Techniques

Reinforcement Learning (RL)ВидеоPrincipal Component Analysis (PCA)ВидеоAdvanced ML TechniquesЗаданиеExploring AI Foundations Through Real-World ScenariosDIALOGUEGraded - Foundations of AI & Machine LearningЗадание Recommending the Right AI Technique for a Business ProblemDIALOGUE
02AWS AI & ML Services Deep Dive13 материалов

Introduction to AWS AI Ecosystem

Basic QuestionsВидеоIntroduction to AWS AI ServicesВидеоAmazon SageMakerВидеоIntroduction to AWS AI EcosystemЗадание

Applied AWS AI Tools

Aws DeepLensВидеоAmazon ComprehendВидеоCase StudiesВидеоApplied AWS AI ToolsЗадание

Working with AWS Machine Learning Services

Intermediate QuestionsВидеоImplementing AI Solutions with AWSВидеоWoring with Amazon SageMakerВидеоWorking with AWS Machine Learning ServicesЗаданиеGraded - AWS AI & ML Services Deep DiveЗадание
03Building Intelligent Solutions with AWS11 материалов

Conversational & Voice AI Services

Using AWS LexВидеоUsing AWS PollyВидеоConversational & Voice AI ServicesЗадание

Vision & Multi-Service AI Integration

AWS RekognitionВидеоCombining AWS ServicesВидеоVision & Multi-Service AI IntegrationЗадание

Foundation Models & Model Engineering

Understanding Foundation ModelsВидеоModel Selection and ArchitectureВидеоData Preperation and PreprocessingВидеоFoundation Models & Model EngineeringЗаданиеGraded - Building Intelligent Solutions with AWSЗадание
04Model Lifecycle, Governance & Exam Prep13 материалов

Training, Optimization & Deployment

Model Training and OptimizationВидеоModel Evaluation and DeploymentВидеоSummaryВидеоTraining, Optimization & DeploymentЗадание

Ethics, Prompting & Continuous Improvement

Ethical Considerations and Best Practices in AI-MLВидеоIntroduction to Prompt EngineeringВидеоContinuous ImprovementВидеоEthics, Prompting & Continuous ImprovementЗадание

Exam Mastery & Advanced Practice

Exam OverviewВидеоAdvanced QuestionsВидеоExam Mastery & Advanced PracticeЗаданиеGraded - Model Lifecycle, Governance & Exam PrepЗаданиеAdvising a Client on Designing and Deploying an End-to-End AI Solution on AWSDIALOGUE