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Generative AI & AWS AI Practitioner Certification · LearnSpace
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Generative AI & AWS AI Practitioner Certification

Курс от Packt
Средний≈ 12.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive course covers the essentials of Generative AI and prepares you for the AWS AI certification exam. You’ll start by exploring AI/ML fundamentals, including various machine learning models, data types, and the differences between supervised, unsupervised, and reinforcement learning. As you advance, the course dives into Generative AI, focusing on foundation models, Large Language Models (LLM), and transformer architectures that power modern AI systems. You will also gain hands-on experience with AWS tools like Amazon Bedrock and SageMaker, learning to deploy, fine-tune, and optimize models in a cloud environment. The course equips you with both theoretical knowledge and practical skills, ensuring you're prepared for real-world applications. Throughout the journey, you’ll first build a strong foundation in AI/ML concepts and deep learning. From there, you'll dive into the exciting world of Generative AI, learning how it generates creative outputs and its applications across industries. You'll also explore AWS’s generative AI tools like Amazon Bedrock and SageMaker, which will help you master the skills needed to work in the cloud and deploy scalable AI models. By the end of the course, you’ll have a deep understanding of AI and its applications, making you ready to tackle complex problems with AWS's powerful tools. This course is designed for anyone interested in pursuing a career in AI and cloud computing, from aspiring data scientists to IT professionals looking to enhance their AI knowledge. There are no formal prerequisites, but familiarity with basic programming concepts or cloud computing can be beneficial. The course is suitable for intermediate learners with some foundational knowledge in tech or AI. By the end of the course, you will be able to develop generative AI models, fine-tune them for specific use cases, integrate them with AWS tools, and deploy AI applications on the cloud. You will also be well-prepared for the AWS AI certification exam, demonstrating your expertise in this emerging field.

Навыки, которые вы освоите

Amazon BedrockResponsible AILarge Language ModelingModel TrainingGenerative Model ArchitecturesMachine Learning AlgorithmsMachine LearningAWS SageMakerAmazon Web ServicesGenerative AIArtificial Intelligence and Machine Learning (AI/ML)Fine-tuningSystem MonitoringArtificial IntelligenceApplied Machine LearningData EthicsModel OptimizationModel EvaluationMachine Learning MethodsModel Deployment

Программа курса

10 модулей · 83 учебных материалов

01Introduction2 материалов

Introduction

IntroductionВидеоFull Course ResourcesЧтение
02AI ML Fundamentals11 материалов

AI ML Fundamentals

AI FundamentalsВидео

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

Generative AI & AWS AI Practitioner Certification
В каталоге вашей программы

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Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 12.9 ч

10 модулей

Язык: Английский

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

Часть программы вашего университета
Making a RecommendationВидео
What Is a Model?Видео
Model – An AnalogyВидео
Supervised, Unsupervised and ReinforcementВидео
ComparisonВидео
Data TypesВидео
Batch and Real-Time InferenceВидео
Deep LearningВидео
Foundations of AI and Machine LearningDIALOGUE
AI ML Fundamentals - AssessmentЗадание
03Generative AI Fundamentals7 материалов

Generative AI Fundamentals

What Is Generative AI?ВидеоFoundation ModelsВидеоLarge Language Model (LLM)ВидеоTransformer ModelsВидеоText GenerationВидеоUnderstanding Generative AI and Foundation ModelsDIALOGUEGenerative AI Fundamentals - AssessmentЗадание
04Generative AI at AWS16 материалов

Generative AI at AWS

Gen AI at AWSВидеоAmazon BedrockВидеоAmazon Bedrock – DemoВидеоAmazon Bedrock – TerminologiesВидеоCustomizationВидеоPrompt EngineeringВидеоRetrieval Augmented Generation (RAG)ВидеоKnowledge BasesВидеоAmazon Bedrock Agents – Part 1ВидеоAmazon Bedrock Agents – Part 2ВидеоPricingВидеоIntegration with Other ServicesВидеоGuardrailsВидеоRandomness and DiversityВидеоBuilding and Customizing Generative AI with AWS BedrockDIALOGUEGenerative AI at AWS - AssessmentЗадание
05Fine-Tuning Your Model5 материалов

Fine-Tuning Your Model

Fine-TuningВидеоFine-Tuning vs. Continued Pre-TrainingВидеоCustom Model in Amazon BedrockВидеоCustomizing Foundation Models: Fine-Tuning vs. Continued PretrainingDIALOGUEFine-Tuning Your Model - AssessmentЗадание
06Build Your Own Model15 материалов

Build Your Own Model

Why Build Your Own Model?ВидеоAnalogy – Beer or Wine Prediction ModelВидеоRoles in ML TeamВидеоMLOpsВидеоAmazon SageMakerВидеоComponents and FeaturesВидеоPrepare Your DataВидеоBuild Your ModelВидеоTrain Your ModelВидеоDeploy Your ModelВидеоAmazon SageMaker EndpointsВидеоEnd-to-End Demo – Part 1ВидеоEnd-to-End Demo – Part 2ВидеоEnd-to-End Machine Learning Workflow with Amazon SageMakerDIALOGUEBuild Your Own Model - AssessmentЗадание
07Monitoring Your Model4 материалов

Monitoring Your Model

Monitoring Business MetricsВидеоMonitoring Technical MetricsВидеоMonitoring Machine Learning Models: Business vs Technical MetricsDIALOGUEMonitoring Your Model - AssessmentЗадание
08Responsible AI4 материалов

Responsible AI

Responsible AIВидеоTackle AI ChallengesВидеоAddressing Risks and Responsible Use of Generative AIDIALOGUEResponsible AI - AssessmentЗадание
09AWS AI ML Services16 материалов

AWS AI ML Services

AWS AI ML StackВидеоAmazon Augmented AIВидеоAmazon ComprehendВидеоAmazon Fraud DetectorВидеоAmazon KendraВидеоAmazon LexВидеоAmazon PersonalizeВидеоAmazon PollyВидеоAmazon Q Business and DeveloperВидеоAmazon RekognitionВидеоAmazon TextractВидеоAmazon TranscribeВидеоAmazon TranslateВидеоOther AWS ServicesВидеоExploring Key AWS AI/ML Services and Their Use CasesDIALOGUEAWS AI ML Services - AssessmentЗадание
10Getting Ready for Exam3 материалов

Getting Ready for Exam

Getting Ready for ExamВидеоFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание