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Generative AI Fundamentals for Beginners · LearnSpace
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Generative AI Fundamentals for Beginners

Курс от Packt
Начальный≈ 14.4 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. Dive into the world of Generative AI and gain a strong foundation in its concepts, tools, and applications. You will understand how AI models generate text, images, audio, and video, and how these technologies are transforming industries. This course equips you with practical knowledge, from neural networks to large language models, enabling you to harness AI effectively in real-world projects. The course starts with the fundamentals, introducing AI, machine learning basics, and the distinction between traditional and generative AI. Through guided demos, you will experiment with neural networks, image generation, and AI audio/video tools, building hands-on experience while visualizing complex AI processes in action. Next, you will explore advanced AI concepts including Large Language Models, transformers, embeddings, and prompt engineering. Step-by-step exercises and live demos allow you to apply these techniques across text, image, audio, and video AI, reinforcing both conceptual understanding and practical skills. This course is ideal for beginners, aspiring AI professionals, and creative technologists seeking to understand and apply generative AI. No advanced programming skills are required, though basic familiarity with computers and data concepts will help. Difficulty level: Beginner. By the end of the course, you will be able to understand key generative AI concepts, build and interact with AI models, create text, image, audio, and video outputs, and apply prompt engineering techniques to optimize AI-generated results for real-world use cases.

Навыки, которые вы освоите

Generative AIModel TrainingResponsible AIEmbeddingsPrompt EngineeringLarge Language ModelingArtificial Neural NetworksGenerative Adversarial Networks (GANs)AI powered creativityGenerative Model ArchitecturesAI literacyArtificial Intelligence and Machine Learning (AI/ML)LLM ApplicationArtificial IntelligenceData EthicsMultimodal Prompts

Программа курса

10 модулей · 84 учебных материалов

01Introduction to Generative AI6 материалов

Introduction to Generative AI

Welcome and Course OverviewВидеоFull Course ResourcesЧтениеWhat Is Artificial Intelligence?ВидеоUnderstanding Machine Learning BasicsВидео

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Packt - Course Instructors

Преподаватель курса

Generative AI Fundamentals for Beginners
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 14.4 ч

10 модулей

Язык: Английский

Часть программы вашего университета
What Makes Generative AI Different: Traditional AI vs Generative AIВидео
The Evolution of Generative AIВидео
02Neural Networks - The Foundation8 материалов

Neural Networks - The Foundation

How Neural Networks Work - Part 1ВидеоDemo - Google Teachable Machine — Train Image ModelВидеоHow Neural Networks Work - Part 2ВидеоDemo - TensorFlow Playground — Watch Learning VisuallyВидеоTraining Neural NetworksВидеоUnderstanding Model ParametersВидеоFundamentals of Neural Networks: Structure, Information Flow, and ParametersDIALOGUENeural Networks - The Foundation - AssessmentЗадание
03Large Language Models (LLMs)14 материалов

Large Language Models (LLMs)

Introduction to Large Language Models (LLMs)ВидеоDemo: ChatGPT — Next-Word Completion and Text GenerationВидеоTransformers Architecture ExplainedВидеоDemo: Translation EN → Spanish → JapaneseВидеоDemo — Transformers VisualizationВидеоHow ChatGPT and GPT Models WorkВидеоDemo: Summarize a WhatsApp-Style ParagraphВидеоTokenization and Text ProcessingВидеоDemo– Tokenizer and Token IDВидеоEmbeddings and Vector RepresentationsВидеоDemo - Embedding SimulatorВидеоThe Generation ProcessВидеоHow Language Models Understand and Generate TextDIALOGUELarge Language Models (LLMs) - AssessmentЗадание
04AI Image Generation12 материалов

AI Image Generation

Introduction to AI Image GenerationВидеоDemo - DALL-E Stable Diffusion — Text→Image Generation – Gemini Nano BananaВидеоVariational Autoencoders (VAEs) ExplainedВидеоDemo - Image Generation With AIВидеоDemo - Inpainting — Remove ObjectВидеоUnderstanding Diffusion ModelsВидеоHow Text-to-Image Generation WorksВидеоPrompting for Image GenerationВидеоGANs - An Alternative ApproachВидеоDemo: GAN SimulatorВидеоHow AI Generates Images: From Diffusion Models to GANsDIALOGUEAI Image Generation - AssessmentЗадание
05AI Audio and Video Generation11 материалов

AI Audio and Video Generation

Text-to-Speech and Voice GenerationВидеоDemo: Voice Text to GenerationВидеоAI Music and Audio GenerationВидеоDemo - Generate Songs and MusicВидеоAI Video Generation TechnologiesВидеоDeepfakes and Face SynthesisВидеоDemo - Use Heygen for Audio and Deepfake Video GenerationВидеоDemo - Image Generation with AIВидеоDemo - Video Generation With AIВидеоUnderstanding AI Audio, Music, and Video GenerationDIALOGUEAI Audio and Video Generation - AssessmentЗадание
06AI Training and Fine-Tuning6 материалов

AI Training and Fine-Tuning

The Pre-Training ProcessВидеоFine-Tuning ExplainedВидеоData Requirements and QualityВидеоDemo - Small Model vs Large Model Text ResponseВидеоExploring Pretraining and Fine-Tuning of AI ModelsDIALOGUEAI Training and Fine-Tuning - AssessmentЗадание
07Prompt Engineering Mastery7 материалов

Prompt Engineering Mastery

Introduction to Prompt EngineeringВидеоCore Prompting TechniquesВидеоAdvanced Prompting StrategiesВидеоPrompt Engineering for Different ModalitiesВидеоDemo - Bad Prompt vs Good Prompt Results and Style PromptingВидеоFundamentals of Prompt Engineering: Clarity, Context, and StructureDIALOGUEPrompt Engineering Mastery - AssessmentЗадание
08AI Limitations and Challenges9 материалов

AI Limitations and Challenges

AI Ethics: Hallucinations and Factual AccuracyВидеоDemo - Hallucination ExampleВидеоAI Ethics: Bias and Fairness IssuesВидеоAI Ethics: Technical LimitationsВидеоAI Ethics: Ethical and Safety ConcernsВидеоDemo - Safety Refusal ExamplesВидеоDemo - Bias Correction Rewrite in Positive ToneВидеоRecognizing and Mitigating AI Hallucinations and BiasDIALOGUEAI Limitations and Challenges - AssessmentЗадание
09Industry Use Cases for Generative AI Demos5 материалов

Industry Use Cases for Generative AI Demos

Demo - Otter Meeting Agent - AI Notetaker, Transcription, InsightsВидеоDemo - Generating Email ResponseВидеоDemo - Marketing Headline Variations for a Product ImageВидеоExploring Real-World AI Use Cases: Meetings, Emails, and MarketingDIALOGUEIndustry Use Cases for Generative AI Demos - AssessmentЗадание
10The Future of Generative AI6 материалов

The Future of Generative AI

The Path to Artificial General Intelligence (AGI)ВидеоCareer Opportunities in Generative AIВидеоCourse Conclusion and Next StepsВидеоThe Future of Generative AI - AssessmentЗаданиеFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание