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Exam Prep AIF-C01: AWS Certified AI Practitioner · LearnSpace
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Exam Prep AIF-C01: AWS Certified AI Practitioner

Курс от Whizlabs
Начальный≈ 13.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Artificial Intelligence (AI) enables machines to perform tasks requiring human-like intelligence, such as decision-making and problem-solving. Its subsets include Machine Learning (ML), which uses data to improve systems without explicit programming, Deep Learning (DL), which employs neural networks for advanced pattern recognition, and Generative AI (Gen AI), which creates new content like text and images by analyzing data. Together, these technologies drive innovation, streamline processes, and deliver personalized experiences, making them essential in today’s digital world. The "Exam Prep AIF-C01: AWS Certified AI Practitioner" course is designed for individuals seeking to deepen their understanding of AI and machine learning technologies, both in general and within the AWS ecosystem. This course prepares candidates to earn the AWS Certified AI Practitioner certification. The course features approximately 6.5 to 7 hours of video lectures, covering both theoretical concepts and hands-on exercises. It is organized into five modules, each further divided into lessons. To reinforce learning, each module includes assignments, quizzes, and in-video questions. Enroll in the “Exam Prep AIF-C01: AWS Certified AI Practitioner” course today and take a step toward advancing your career! - Module 1: Foundation Model and Generative AI on AWS - Module 2: Fundamentals of AI & ML - Module 3: AWS Managed AI Services - Module 4: Prompt Engineering and Responsible AI - Module 5: Secure AI Solutions This course is designed for professionals seeking to demonstrate a comprehensive understanding of AI/ML, Generative AI, and related AWS services and tools, regardless of their job function. By the end of the course, learners will be able to: - Understand AI, ML, and Generative AI concepts both broadly and within AWS. - Select suitable AI/ML technologies for use cases. - Build Generative AI applications with AWS services. - Apply responsible AI/ML practices. - Secure Generative AI solutions with proper IAM rules.

Навыки, которые вы освоите

AWS SageMakerAmazon BedrockAI SecurityMLOps (Machine Learning Operations)Generative AIPrompt EngineeringModel EvaluationResponsible AIAmazon Web ServicesGenerative Model ArchitecturesArtificial IntelligenceNatural Language ProcessingMachine LearningArtificial Intelligence and Machine Learning (AI/ML)Prompt Patterns

Программа курса

5 модулей · 103 учебных материалов

01Foundation Models and Generative AI in AWS28 материалов

Basics of Foundation Models and Generative AI

Welcome to the CourseЧтениеOverview of Foundation Models and Generative AI in AWSЧтениеMeet and GreetОбсуждениеCourse IntroductionВидео

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Преподаватель курса

Exam Prep AIF-C01: AWS Certified AI Practitioner
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Обучение на Coursera

≈ 13.5 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
What is Generative AI Model ?Видео
Identify the Potential Use Cases of Generative AIВидео
Challenges of Generative AIВидео
Components of Generative AIВидео
GenAI Application Lifecycle Чтение
Lifecycle of Foundation ModelsВидео
Types of Foundation ModelsВидео
Evaluation Metrics of Foundation modelsВидео
Basics of Foundation Models and Generative AI - Knowledge CheckЗадание

Amazon Bedrock and its features

Amazon Bedrock - OverviewВидеоAmazon Bedrock - DemoВидеоFoundation Models on Amazon BedrockВидеоUnderstanding RAG Architecture of LLMВидеоRetrieval Augmented Generation (RAG)ЧтениеAWS Services for Storage of Vector EmbeddingsВидеоAmazon Bedrock RAG & Knowledge Base - DemoВидеоAmazon Bedrock - GuardRailsВидеоAmazon Bedrock - GuardRails - DemoВидеоAmazon Bedrock AgentsВидеоPartyRock - Amazon Bedrock PlaygroundВидеоAmazon Bedrock - PricingВидеоAmazon BedrockЧтениеAmazon Bedrock and its features - Knowledge CheckЗаданиеFoundation Models and Generative AI in AWS - AssessmentЗадание
02Fundamentals of AI & ML in AWS19 материалов

Machine Learning and MLOps

Overview of Fundamentals of AI & ML in AWSЧтениеWhat is Machine Learning?ВидеоAI Vs Deep Learning Vs Machine LearningВидеоTypes of Data in Machine LearningВидеоTypes of Machine LearningВидеоSteps for Machine LearningВидеоData Preprocessing EssentialsВидеоEvaluating Classification ModelsВидеоConfusion MatrixВидеоEvaluation Metrics - RegressionВидеоUnsupervised Learning - ClusteringВидеоTypes of InferencingВидеоMachine Learning Development LifecycleЧтениеWhat is Deep Learning ?ВидеоUsage of Deep Learning/ ML models in ProductionВидеоWhat is MLOps ?ВидеоAWS Services for MLOpsВидеоMachine Learning and MLOps - Knowledge CheckЗаданиеFundamentals of AI & ML - AssessmentЗадание
03AWS Managed AI/ML Services31 материалов

AWS Managed AI/ML Services

Overview of AWS Managed AI/ML ServicesЧтениеAmazon ComprehendВидеоAmazon Comprehend - DemoВидеоAmazon TranslateВидеоAmazon Translate - DemoВидеоAmazon TranscribeВидеоAmazon Transcribe - DemoВидеоAmazon PollyВидеоAmazon Polly - DemoВидеоAmazon RekognitionВидеоAmazon Rekognition - DemoВидеоAmazon LexВидеоAmazon Lex - DemoВидеоAmazon KendraВидеоAmazon Augmented AI (A2I)ВидеоAmazon PersonalizeВидеоAmazon TextractВидеоAWS Managed AI/ML Services - Knowledge CheckЗадание

Amazon SageMaker and Amazon Q

Introduction to Amazon SageMakerВидеоAmazon Sagemaker - DemoВидеоAmazon Sagemaker Data Wrangler - Deep DiveВидеоAmazon Sagemaker Feature Store - Deep DiveВидеоAmazon Sagemaker Model Monitor - Deep DiveВидеоAmazon SageMaker Model MonitorЧтение
04Prompt Engineering and Responsible AI in AWS16 материалов

Effective Prompts and Responsible AI Principles

Overview of Prompt Engineering and Responsible AI in AWSЧтениеPrompt EngineeringВидеоPrompt Engineering - DemoВидеоFundamentals of Prompt DesignВидеоTechniques for Effective PromptsВидеоTechniques for Effective Prompts - DemoВидеоParameter Efficient Finetuning TechniqueВидеоPrompt EngineeringЧтениеKey Principles of Responsible AIВидеоResponsible practices to select a modelВидеоLegal risks of working with generative AIВидеоAWS Tools for Responsible AIВидеоAWS Tools for Explainabe AIВидеоResponsible AIЧтениеEffective Prompts and Responsible AI Principles - Knowledge CheckЗаданиеPrompt Engineering and Responsible AI - AssessmentЗадание
05Secure AI Solutions in AWS9 материалов

Security and Governance of AI Solutions

Overview of Secure AI Solutions in AWSЧтениеAWS Services for Securing AI SystemsВидеоAWS Shared Responsibility ModelВидеоAWS Services for Governance of AI ApplicationsВидеоPractice Questions with explanationВидеоSecure AI Solutions - AssessmentЗаданиеProject: Translate Text and Document Between Languages in the CloudЗаданиеWhat's Next?ЧтениеConclusionВидео
Amazon Sagemaker JumpstartВидео
Amazon SageMaker JumpStartЧтение
What is Amazon Q Business?Видео
Amazon Q DeveloperВидео
Amazon QЧтение
Amazon SageMaker and Amazon Q - Knowledge CheckЗадание
AWS Managed AI/ML Services - AssessmentЗадание