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Generative AI Foundations · LearnSpace
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Generative AI Foundations

Курс от Edureka
Начальный≈ 9.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Generative AI Foundations is a comprehensive course designed to provide learners with a strong foundation in Generative Artificial Intelligence, covering key principles, core methodologies, and real-world applications across multiple domains such as text, images, audio, and code. Ideal for beginners and professionals alike, this course explores how Generative AI models like GANs, VAEs, and transformers are transforming industries through content creation, automation, and innovation. By the end of this course, you will have acquired the knowledge and skills to: - Grasp the foundational concepts and technical intricacies of Generative AI, including its advantages and limitations. - Apply Generative AI for code generation, enhancing your programming efficiency and creativity in Python and other languages. - Master the art of prompt engineering to optimize interactions with AI models like ChatGPT, leading to improved outcomes in code generation and beyond. - Utilize ChatGPT for learning and mastering Python, data science, and software development practices, thereby broadening your technical skill set. - Explore the revolutionary fields of Autoencoders and Generative Adversarial Networks (GANs), understanding their architecture, operation, and applications. - Dive into the world of language models and transformer-based generative models, gaining insights into their mechanisms, applications, and impact on the future of AI. This course is meticulously crafted to cater to a broad audience, including software developers, data scientists, AI enthusiasts, and professionals seeking to leverage Generative AI technologies for innovative solutions. While prior knowledge of Generative AI Fundamentals or Python Coding is helpful, but it is not a prerequisite to complete the course. Whether you're looking to enhance your existing skills or embark on a new career path in the field of AI, this course will provide you with the knowledge, practical skills, and confidence to succeed. Join us on this exciting journey into the world of Generative AI!

Навыки, которые вы освоите

Generative Model ArchitecturesAutoencodersGenerative Adversarial Networks (GANs)OpenAIArtificial Intelligence

Программа курса

4 модулей · 71 учебных материалов

01Gen AI Foundations30 материалов

Generative AI: Getting Started

Course IntroductionВидеоCourse OverviewЧтениеOverview of Generative AIВидеоGenerative AI PrinciplesВидео

Учитесь у экспертов

Edureka

Преподаватель курса

Generative AI Foundations
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

≈ 9.1 ч

4 модулей

Язык: Английский

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

Часть программы вашего университета
Generative AI vs. Generative AI ModelВидео
Understanding Generative AI ModelsВидео
Transformer - Based , Energy - Based & Conditional Generation ModelsВидео
Ethical Considerations in Generative AI: A Guide for Responsible InnovationЧтение
How to use Discussion ForumsЧтение
Do You Already Know About Generative AI Foundations?DIALOGUE
Balancing Innovation and Ethical Responsibility in Generative AI ApplicationsОбсуждение
Knowledge Check: Generative AI Getting StartedЗадание

Prompt Engineering Fundamentals

Generative AI for Code GenerationВидеоBenefits of Generative AI for Code GenerationВидеоIntroduction to ChatGPTВидеоLog-in ProcessВидеоChatGPT Account CreationЧтениеCode Generation with ChatGPTВидеоOptimize Prompt DesignОбсуждениеKnowledge Check: Prompt Engineering FundamentalsЗадание

Leveraging ChatGPT by Software Developers

Leveraging ChatGPT to Learn Data Science with PythonВидеоHow Python Professionals can use ChatGPTЧтениеVisualization with Gen AIВидеоExploratory Data AnalysisВидеоDemonstration on Exploratory Data AnalysisВидеоExploratory Data Analysis with the help of ChatGPTВидеоPython Development Workflow ОбсуждениеKnowledge Check: Leveraging ChatGPT by Software DevelopersЗадание

Module Wrap Up and Assessments

Generative AI: Foundations, Applications, and Ethical ExplorationЧтениеKnowledge Check: Generative AI-Getting StartedЗадание
02Autoencoders and GANs20 материалов

Basic Autoencoders

Working of AutoencodersВидеоVariational AutoencodersВидеоVariational Autoencoders: Applications and InsightsЧтениеTechnical Symphony of Variational Autoencoders in Data CompressionЧтениеTransforming Industries with Autoencoders and VAEs: Benefits and ChallengesОбсуждениеKnowledge Check: Basic AutoencodersЗадание

GAN Architecture

Introduction to GANВидеоWorking of GANВидеоBasic GAN ArchitectureВидеоVariants of GANsВидеоBigGANВидеоTraining GANsВидеоAbout GANВидео

GAN Practicals

Data Compression with AutoencodersВидеоOvercoming GAN Challenges for Enhanced Creativity and RealismОбсуждениеKnowledge Check: GAN PracticalsЗадание

Module Wrap-up and Assessments

Summary and Consolidation of Autoencoders and GANsЧтениеKnowledge Check: Autoencoders and GANsЗадание
03Language Models and Transformer-based Generative Models16 материалов

Language Models

Exploring Language ModelsВидеоTypes of Language ModelsВидеоTransfer ModelsВидеоApplications of Language ModelsВидеоSummarization and SearchВидеоThe Transformer Architecture: Attention MechanismЧтениеAdvanced Transformer ModelsЧтениеKnowledge Check: Language ModelsЗадание

GPT and BERT

Introduction to GPTВидеоUnderstanding GPTВидеоBERTВидеоInference in BERTВидеоApplications of Transformer Based ModelsЧтениеKnowledge Check: GPT and BERTЗадание

Module Wrap-up and Assessment

Module Summary: Exploring Language Models and Transformer-Based Generative ModelsЧтениеKnowledge Check: Language Models and Transformer-based Generative ModelsЗадание
04Course Wrap-up and Assessment5 материалов
Streamlit DocumentationЧтениеPractice ProjectЧтениеApplying Generative AI Foundations in Real-World Scenarios: A Scenario-Based ExerciseDIALOGUEEnd Course Knowledge CheckЗаданиеCourse SummaryВидео
Adversarial Dynamics in GANsОбсуждение
Knowledge Check: GAN ArchitectureЗадание