К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Vision AI and Advanced OpenAI · LearnSpace
Назад в каталог
courseraАнализ данных

Vision AI and Advanced OpenAI

Курс от KodeKloud
Средний≈ 5.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Once you can build with text, the next step is multimodal AI and enterprise-scale capabilities. This course advances your OpenAI skills into image generation, advanced production API features, and the foundational AWS architecture knowledge you need to design serious generative AI systems. You'll start with OpenAI's vision capabilities: how DALL-E generates images from natural language prompts, the evolution from DALL-E 1 to DALL-E 3, and how CLIP connects visual and language understanding. You'll build a working image generator and an image captioning pipeline, and examine the ethical challenges and future trends shaping AI vision technologies. Next, you'll implement OpenAI's most powerful production features — function calling, structured outputs, batch processing, and content moderation — the capabilities that separate prototype applications from scalable, enterprise-grade systems. The course closes with a critical knowledge bridge into AWS: tokens, embeddings, chunking, context windows, the foundation model lifecycle, AWS GenAI infrastructure design, and cost optimisation principles — preparing you for AWS-native deployment. Designed for learners who have OpenAI API experience. Basic programming knowledge is recommended.

Навыки, которые вы освоите

Generative AIResponsible AIOpenAIEmbeddingsPrompt EngineeringAI powered creativityPerformance MeasurementToken OptimizationContent OptimizationAI WorkflowsData EthicsMultimodal PromptsGenerative Model ArchitecturesCritical Thinking and Problem SolvingAI literacyImage AnalysisAI SecurityLarge Language ModelingOpenAI APILLM Application

Программа курса

3 модулей · 41 учебных материалов

01Vision (DALL-E, CLIP, Image Generation)15 материалов
Overview of OpenAi VisionВидеоDALL-E: What It Is and How It WorksВидеоThe Evolution of DALL-E: From DALL-E 1 to DALL-E 3ВидеоUnderstanding DALL-E Text-to-Image GenerationВидеоPractical Applications of DALL-E in Various Industries

Учитесь у экспертов

Mumshad Mannambeth

Преподаватель курса

Vision AI and Advanced OpenAI
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 5.7 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Немецкий, Испанский

Часть программы вашего университета
Видео
Introduction to Contrastive Language-Image Pretraining (CLIP)Видео
Project 1: Image GeneratorВидео
Project 2: Image CaptioningВидео
Hands-On Lab: Creating Your Own ImagesЧтение
Fine-TuningВидео
Practical Vision ApplicationsВидео
Vision Capability Selection WorkshopDIALOGUE
Limitations, Challenges, and Ethical ConsiderationsВидео
Future Trends and Innovations in OpenAi VisionВидео
VisionЗадание
02Features (Function Calling, Structured Outputs, Batch Processing)8 материалов
Structured OutputsВидеоFunction Calling: Structured OutputsВидеоFunction Calling vs. Structured OutputsDIALOGUEAdvanced UsageВидеоBatch ProcessingВидеоLab: Batch ProcessingЧтениеModerationВидеоFeaturesЗадание
03Fundamentals of Generative AI (Tokens, Embeddings, Foundation Model Lifecycle)18 материалов
Basic Concepts of Generative AI - tokens, chunking, embeddings, and moreВидеоContext Window and TokensВидеоEmbeddings, Vectors and ChunkingВидеоLLMS and Prompt Engineering ВидеоGenerative AI Use Cases and ApplicationsВидеоFoundation Model LifecycleВидеоFoundation Model Lifecycle and Use Case DevelopmentВидеоGame: Match the lifecycle action to the lifecycle stageЧтениеCapabilities and Limitations of Generative AI ApplicationsВидеоGenAI Capabilities & Limitations: Building Your Explanation FrameworkDIALOGUEExplaining AI to Your Product ManagerDIALOGUEEvaluating LLM Performance ВидеоAWS Infrastructure for Building Gen AI ApplicationsВидеоBuilding Enterprise Generative AI on AWS: Tools, Models, and Security ВидеоCost Consideration for AWS Gen AI Services - Redundancy, Availability, Performance, and More Part-1ВидеоCost Consideration for AWS Gen AI Services - Redundancy, Availability, Performance, and More Part-2ВидеоGame: Match the advantages and disadvantages of GenAIЧтениеFundamentals of Generative AIЗадание