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Introduction to AI and Machine Learning · LearnSpace
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courseraIT и технологии

Introduction to AI and Machine Learning

Курс от LearnKartS
Начальный≈ 9.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Ready to witness the future of technology? AI and Machine learning are more than buzzwords—they drive industry innovation. This foundational course for the AWS Certified AI Practitioner Specialization uses hands-on practice and real-world applications to make learning more relevant. You'll learn about Supervised and Unsupervised learning, ML algorithms, Neural networks, Deep Learning, Natural Language Processing, computer vision, and important data approaches like Feature engineering and Data wrangling through engaging videos and guided demos. Unlike passive theory-based courses, this AWS AI Practitioner training course enables you to apply principles using Amazon SageMaker for training, deployment, and optimization, making your learning more practical and meaningful. This course is appropriate for both beginners and professionals who want to strengthen or refresh their knowledge of AI and machine learning. In the end, you'll be able to successfully use AWS, apply ML approaches, explore advanced topics, and acquire hands-on experience developing and deploying models with Amazon SageMaker.

Навыки, которые вы освоите

Reinforcement LearningData WranglingAmazon S3Amazon Elastic Compute CloudAWS SageMakerNatural Language ProcessingAI WorkflowsData PreprocessingDeep LearningMachine Learning AlgorithmsModel DeploymentServerless ComputingMachine Learning MethodsComputer VisionAmazon Web ServicesApplied Machine LearningArtificial IntelligenceModel TrainingMachine Learning

Программа курса

2 модулей · 85 учебных материалов

01Fundamentals of AI and ML55 материалов

Welcome Lesson

Specialization IntroductionВидеоAWS Certified AI Practitioner Exam DetailsВидеоCourse IntroductionВидео

Basics of AWS

Learning ObjectivesВидеоUnderstanding AWS Global Network and Regions

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LearnKartS

Преподаватель курса

Introduction to AI and Machine Learning
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.6 ч

2 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Итальянский, Бразильский португальский, Корейский, Немецкий, Пушту, Индонезийский, Испанский, Дари, Японский, Казахский, Венгерский

Часть программы вашего университета
Видео
Demo:Creating AWS AccountВидео
How AWS Powers AI/ML with Scalable Cloud InfrastructureЧтение
Exploring AWS Core Services: Compute & StorageВидео
AWS Core Services: Networking, Databases & Security BasicsВидео
AWS Global Infrastructure and Core AWS ServicesЗадание
EC2 Introduction and CharacteristicsВидео
Demo: Launching EC2 instanceВидео
Demo: Connecting EC2 instanceВидео
EC2 Introduction and CharacteristicsЗадание
Introduction to AWS S3: Storage in the CloudВидео
Understanding S3 Objects and Managing AccessВидео
S3 Storage TiersВидео
Demo: Creating S3 BucketВидео
AWS S3Задание
Introduction to AWS Lambda: Serverless ComputingВидео
How Lambda Work?Видео
Demo: Creating a Lambda FunctionВидео
Overview and Working of LambdaЗадание
Basics of AWSЗадание
SummaryВидео

Getting Started with AI and ML

Learning ObjectivesВидеоIntroduction to Artificial IntelligenceВидеоApplications of AIВидеоAI ModelВидеоAI ComponentsВидеоEvolution of AIЧтениеIntroduction to Artificial IntelligenceЗаданиеIntroduction to Machine LearningВидеоSupervised LearningВидеоKey Algorithms in Supervised Learning ВидеоUnsupervised LearningВидеоUnsupervised Learning MethodsВидеоClustering AlgorithmsВидеоSemi-supervised and Reinforcement LearningВидеоMachine LearningЗаданиеAI/ML Terminology: A Quick Reference GuideЧтениеGetting started with AI and MLЗаданиеSummaryВидео

Mastering ML – From Data to Intelligent Systems

Learning ObjectivesВидеоCases Where Machine Learning Falls ShortЧтениеData Sets and Feature EngineeringВидеоBuilding a Reinforcement Learning ModelВидеоMachine Learning Projects: A Beginner's GuideЧтениеMastering ML – From Data to Intelligent SystemsЗаданиеBias, Variance, Overfitting, and UnderfittingВидео Neural NetworksВидеоAWS Core Services and Foundations of Artificial Intelligence & Machine LearningDIALOGUEMastering ML – From Data to Intelligent SystemsЗаданиеMastering the ML Workflow: From Idea to DeploymentDIALOGUESummaryВидео
02AI Applications and Workflow Management on AWS30 материалов

Fundamentals of NLP, Computer Vision, and Deep Learning

Learning ObjectivesВидеоUnderstanding Natural Language Processing (NLP)ВидеоExploring Types of NLP and Key TechniquesВидеоComputer VisionВидеоUnderstanding Computer Vision: From Pixels to PredictionsЧтениеFundamentals of NLP andComputer VisionЗаданиеInferencingВидеоDeep LearningВидеоThe Evolution of Natural Language Processing (NLP)ЧтениеInferencing and Deep LearningЗаданиеFundamentals of NLP, Computer Vision, and Deep LearningЗаданиеSummaryВидео

AI Workflows with AWS Tools

Learning ObjectivesВидеоData Categories and TypesВидеоDemo-Choosing the Right InstanceВидеоRole of Distributed Computing in Machine LearningЧтениеData Categories and TypesЗаданиеAmazon SageMakerВидео
SageMaker Pricing Видео
Demo-Getting Familiar with Amazon SageMakerВидео
Amazon SageMaker and It's PricingЗадание
How Clean Data Powers Better AIЧтение
Data WranglerВидео
Data Wrangling ProcessВидео
Data Wrangler and It's ProcessЗадание
Introduction to NLP, Computer Vision, and AWS SageMaker for AI/ML WorkflowsDIALOGUE
AI Workflows with AWS ToolsЗадание
Optimizing Machine Learning Workflows with SageMaker and Data WranglerDIALOGUE
SummaryВидео
Course CompletionВидео