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Generative AI and Large Language Models · LearnSpace
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Generative AI and Large Language Models

Курс от Coursera
Средний≈ 27.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Welcome to the world of Generative AI and Large Language Models (LLMs)—where technology mirrors human creativity and intelligence. This course is designed to provide you with a comprehensive understanding of generative models, including their evolution, applications, and the underlying architectures that make them possible. Throughout the modules, you'll explore various generative techniques such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), diffusion models, and multimodal AI. You'll also gain hands-on experience with tools like OpenAI's GPT, Hugging Face, Streamlit, and MLflow, ensuring you can deploy and fine-tune models for real-world applications.

Навыки, которые вы освоите

Generative Model ArchitecturesGenerative AILarge Language ModelingRetrieval-Augmented GenerationGenerative Adversarial Networks (GANs)Multimodal PromptsModel DeploymentFine-tuningResponsible AIOpenAIOpenAI APIHugging FaceAI SecurityLLM ApplicationApplication DeploymentAutoencoders

Программа курса

5 модулей · 106 учебных материалов

01Introduction to Generative AI26 материалов

Introduction to Generative AI

Welcome to Generative AIВидеоTraining a Discriminative Model: Logistic Regression on 2D BlobsВидеоFoundations of Generative AIЧтениеTypes and Use Cases of Generative AIЧтение

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Преподаватель курса

Generative AI and Large Language Models
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 27.5 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
Fitting and Visualizing a Generative ModelВидео
Sample from a Simple Generative ModelЛабораторная
Knowledge Check - What is Generative AI?Задание

Evolution of Generative Models

Foundations of Generative Modeling: From GANs to VAEsЧтение From GANs to Autoregressive Models: Hands-On with Generative BasicsВидеоFrom Autoregressive to Diffusion: How Modern Generative Models Took OverЧтениеDiffusion Models in Action: From Noise to Realistic OutputsВидеоSample from a VAE and an Autoregressive ModelЛабораторнаяChoosing the Right Generative Model for the TaskDIALOGUEKnowledge Check - Generative Model EvolutionЗадание

Exploring LLMs & VLMs

Understanding Large Language Models (LLMs): Capabilities, Providers, and TrendsЧтениеWhat Can LLMs Do Today? Real Use Cases Across ProvidersВидеоUnderstanding Vision-Language Models (VLMs): Capabilities, Use Cases, and TrendsЧтениеWhat Can Vision-Language Models Do? Image + Text in ActionВидеоOpen-Source or Closed-Source: Which Model is Right for You?DIALOGUEKnowledge Check - LLMs & VLMsЗадание

Ethical Considerations

Uncovering Bias in LLM OutputsВидеоHallucinations & Misinformation in ActionВидеоResponsible AI: Risks and Mitigation StrategiesЧтениеMitigating Generative AI Risks in DeploymentDIALOGUEKnowledge Check - Ethical AI DeploymentЗаданиеFoundations of Generative AIЗадание
02Large Language Models (LLMs) & Transformer Architecture23 материалов

Understanding Transformer Architecture

Transformers Made LLMs Possible: Here's Why That MattersВидеоFrom RNNs to Transformers: A New Way to Process SequencesЧтениеAnatomy of Transformers and Their ArchitecturesЧтениеThe Problem with RNNs and How Transformers Fix ItВидеоSelf-Attention, Multi-Head Attention, and Feedforward NetworksВидеоTuning LLM Output with Temperature, Top-k, and Top-pВидеоExperiment with LLM Sampling ParametersЛабораторнаяTuning LLMs for Real-World Applications: Balancing Creativity and PrecisionDIALOGUEKnowledge Check - Transformer FoundationsЗадание

Prompt Engineering & APIs

Prompt Engineering Essentials: How to Write Better PromptsЧтениеCalling LLMs via API: How to Get Started Safely and EffectivelyЧтениеAccessing LLMs Through APIs and UIsВидеоPrompt Engineering: Small Tweaks, Big ResultsВидеоPrompt and Compare Across LLMsЛабораторнаяWhich Prompting Strategy Would You Choose?DIALOGUE

LLM Training & Fine-Tuning

LLM Fine-Tuning Strategies: From Supervised to AlignedЧтениеFine-Tuning a Transformer with Hugging FaceВидеоUnderstanding PEFT and Reinforcement Learning Fine-TuningЧтениеWhich Fine-Tuning Method Should You Use?DIALOGUEPerform Lightweight Fine-Tuning with LoRAЛабораторнаяKnowledge Check - LLM Fine-TuningЗадание
03Hands-on Applications of LLMs21 материалов

Retrieval-Augmented Generation (RAG)

What is RAG and Why Does It Matter?ЧтениеRetrieving Knowledge: Embeddings and Vector Search with FAISSВидеоGrounded Generation: Adding Retrieval to an LLM PipelineВидеоImplement a Simple RAG Pipeline with FAISS and Hugging FaceЛабораторнаяWhen Should You Use RAG Instead of Fine-Tuning?DIALOGUEKnowledge Check - Retrieval-Augmented GenerationЗадание

Structured Output & Function Calling

Designing for Structure: Output Formats and Tool UseЧтениеPrompting LLMs for Structured Output and Function SimulationВидео Prompt LLMs for Structured Output + Simulated Function UseЛабораторнаяShould You Use Function Calling or Just Prompt for Structure?DIALOGUEKnowledge Check - Structured Output & Function CallsЗадание

Deploying LLMs via APIs

LLM Deployment: Options, Challenges, and Best PracticesЧтениеDeploying an LLM Using MLflow and Streamlit CloudВидеоDeploy a Text Generation Model with Streamlit + MLflowЛабораторнаяChoosing the Right Deployment Strategy for Your ProductDIALOGUEKnowledge Check - LLM DeploymentЗадание

Introduction to AI Agents

AI Agents 101: Key Concepts and ApplicationsЧтениеSimulate an AI Agent Using OpenAI Function Calling or Tool SimulationВидеоDo You Really Need an AI Agent?DIALOGUEKnowledge Check - AI AgentsЗаданиеHands-on Applications of LLMsЗадание
04Diffusion Models17 материалов

Introduction to Diffusion Models

Why Diffusion Has Become the Preferred Approach for High-Quality Image GenerationВидеоYour First Tiny Diffusion Model: Simulate Diffusion in Pixel SpaceЧтениеThe Diffusion Process ExplainedЧтениеSimulate Forward Diffusion on Images Using PyTorchЛабораторнаяShould You Use GANs, VAEs, or Diffusion for Image Generation?DIALOGUEKnowledge Check - Diffusion BasicsЗадание

Training a Diffusion Model

Text-to-Image Generation with Stable DiffusionВидеоExploring Latent Space in Diffusion ModelsВидеоInside Stable Diffusion: Architecture and Prompt ControlЧтениеGenerate Custom Images with Stable DiffusionЛабораторнаяKnowledge Check - Training with Stable DiffusionЗадание

Comparison of Generative Models

GANs vs. VAEs vs. Diffusion: What Do the Outputs Say?ВидеоChoosing the Right Generative Model: A Comparative GuideЧтениеCompare Outputs from GAN, VAE, and Diffusion ModelsЛабораторнаяWhich Model Would You Choose for Your Project?DIALOGUEKnowledge Check - Comparing ModelsЗаданиеDiffusion and Generative Model ComparisonЗадание
05Multimodal Generative AI19 материалов

Introduction to Multimodal Models

From Text to Everything: The Multimodal RevolutionВидеоHow Do Multimodal Models Combine Text, Image, and Audio?ВидеоMultimodal Generative AI: A FoundationЧтениеExplore Cross-Modal Embeddings with CLIPЛабораторнаяWhen Do You Need Multimodal AI?DIALOGUEKnowledge Check - Multimodal FoundationsЗадание

Vision-Language Models (CLIP, BLIP, Gemini)

Understanding VLMs: CLIP, BLIP, GeminiЧтениеGenerating Captions with BLIPВидеоZero-Shot Image Classification with CLIPВидеоImage Captioning and Classification with VLMsЛабораторнаяKnowledge Check - CLIP, BLIP, and GeminiЗадание

Audio-Based Generative AI (Whisper)

Understanding Whisper and Audio-Based Generative AIЧтениеTranscribing Speech to Text with WhisperВидеоGenerating Speech from Text with TTSВидеоTranscribe and Generate Audio with Whisper + TTSЛабораторнаяKnowledge Check - Audio-Based ModelsЗаданиеMultimodal Generative AIЗадание

Capstone Project

Designing Your Own Generative AI Assistant: From Learner to BuilderЧтениеCapstone Project - Build Your Own Generative AI Assistant with RAG, LLMs, and Multimodal InputПрограммирование
Knowledge Check - Prompt Engineering & APIsЗадание
Working with Transformers and Fine-Tuning Задание