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Prototyping & Strategic Evaluation of Generative AI · LearnSpace
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Prototyping & Strategic Evaluation of Generative AI

Курс от Coursera
Уровень не указан≈ 15.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Prototyping and Strategic Evaluation of Generative AI will help you gain the skills needed to assess, design, and prototype modern generative AI systems with both technical rigor and strategic insight. The course focuses on helping you make informed decisions across the full lifecycle of generative AI—from infrastructure and model evaluation to application development and business-oriented proof-of-concepts. You will learn how to evaluate the performance and cost tradeoffs of emerging hardware accelerators, engineer and assess LLM-based systems for structured data extraction, and integrate LLM APIs to build AI-powered features. As the course progresses, you’ll design data processing architectures for multimodal generative AI applications and develop proof-of-concept solutions to validate the practical value of new frameworks and tools. Hands-on labs and applied examples ensure you can translate concepts into working prototypes and strategic recommendations. What makes this course unique is its multi-perspective approach. It benefits from the combined expertise of Arm, IBM, and Coursera, exposing you to diverse tools, platforms, and real-world viewpoints. This blended experience mirrors how generative AI is evaluated and deployed in practice—across teams, technologies, and business contexts.

Навыки, которые вы освоите

Large Language ModelingModel OptimizationModel EvaluationFine-tuningMultimodal PromptsAI Product StrategyLLM ApplicationLangChainGenerative AIAI Integrations

Программа курса

9 модулей · 88 учебных материалов

01Start Here: Get Oriented and Check Your Skills2 материалов
Start Here: How This Skill-Based Course WorksЧтениеSkill Diagnostic: Find Your Recommended Starting PointЗадание
02Prompt Engineering and LangChain11 материалов

Prompt Engineering and LangChain

Introduction to LangChainВидео

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Professionals from the Industry

Преподаватель курса

Prototyping & Strategic Evaluation of Generative AI
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 15.4 ч

9 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
Introduction to Prompt Engineering and In-Context LearningВидео
Advanced Methods of Prompt EngineeringВидео
Lab: In-Context Engineering and Prompt TemplatesВнешний инструмент
LangChain: Core ConceptsВидео
LangChain Documents for Building RAG ApplicationsВидео
LangChain Chains and Agents for Building ApplicationsВидео
Lab: LangChainВнешний инструмент
Guided Project: Summarize Private Documents Using RAG, LangChain, and LLMsВнешний инструмент
Practice Quiz: Prompt Engineering and LangChainЗадание
Summary and HighlightsЧтение
03Evaluating Large Language Model Outputs: A Practical Guide20 материалов

Lesson 1: Basics of Large Language Models Evaluation Methods

Welcome to the Course: Course OverviewЧтениеIntroduction to the Course and Meet the InstructorВидеоIntroduction to LLMs and their Evaluation MethodsВидеоBenefits and Challenges of LLM Evaluation MethodsВидеоLLM Evaluation on Vertex AIВидеоEvaluating LLMs for Educational Content DevelopmentDIALOGUEEvaluating LLMs: A Standard Set of Metrics for Accurate AssessmentЧтение

Lesson 2: LLM Evaluation on Vertex AI

Automatic MetricsВидеоAutomatic Metrics DemoВидеоAutoSxSВидеоAutoSxS DemoВидеоGoogle Generative AI Evaluation ServiceЧтениеLLM Evaluation on Vertex AIDIALOGUE

Lesson 3: The Future of Generative AI Evaluation Models

Text-based Evaluation ModelsВидеоDiversity Metrics and Zero-shot Evaluation for LLMsВидеоEvaluation of Non-Text Generative AI ModelsВидеоFinal Notes: Importance of Human EvaluationВидеоCongratulations and Continuous Learning JourneyВидеоEvaluating LLMs for Global Customer ServiceDIALOGUE
04Skill Assessment 12 материалов

Lesson

Learner Expectations for Skill AssessmentЧтениеCheckpoint 1 of 3: Building and Evaluating LLM-Powered Data Processing SystemsЗадание
05Foundations of Multimodal AI12 материалов

Introduction to Multimodal AI: Text and Speech Processing

Introduction to Multimodal AI ВидеоReading: What is Multimodal Generative AI and Why Does It Matter? PLUGINReading: What is Computer Vision? PLUGINText-to-Speech Technologies ВидеоSpeech-to-Text Technologies ВидеоReading: Text Processing, Speech Processing, and Text-to-Speech PLUGINLab: Use Mistral and gTTS to Create Your Personal StorytellerВнешний инструментReading: Challenges in Multimodal AI Integration PLUGINLab: Build a Meeting Assistant with Whisper, LangChain, & GradioВнешний инструментPractice Quiz: Introduction to Multimodal AI: Text and Speech ProcessingЗадание

Module Summary and Evaluation

Reading: Summary and Highlights ЧтениеCheat Sheet: Foundations of Multimodal AI PLUGIN
06LLM Fine-tuning And Its Applications For Business 24 материалов

Lesson 1: Basics of Large Language Models

Welcome to the Course: Course OverviewЧтениеIntroduction and Welcome ВидеоIntroduction to LLMs ВидеоEvolution of Language AI ВидеоUnderstanding Fine-Tuning ВидеоAn Overview of LLMs Чтение[Optional] The Generative AI Lab PlaygroundЧтение[Optional] Access Your GPT GenAI PlaygroundЛабораторнаяBasics of Large Language ModelsDIALOGUE

Lesson 2: LLM Fine Tuning in Business

Customizing AI for Your Business ВидеоCase Studies: Success Stories ВидеоMeasuring Impact ВидеоInsights on LLM Applications in Business ЧтениеLLM Fine Tuning in BusinessDIALOGUE

Lesson 3: Implementing LLM Fine Tuning

Strategy Development ВидеоOvercoming Challenges ВидеоTools and Resources ВидеоA Practical Guide to LLM ЧтениеImplementing LLM Fine TuningDIALOGUE

Lesson 4: The Future of LLMs in Business

Predicting Trends ВидеоStaying Ahead ВидеоEthics and Considerations ВидеоExploring the Future of AI in Business ЧтениеThe Future of LLMs in BusinessDIALOGUE
07Skill Assessment 22 материалов

Lesson

Learner Expectations for Skill AssessmentЧтениеCheckpoint 2 of 3: Designing and Prototyping Advanced AI ArchitecturesЗадание
08ML Frameworks and Optimized Libraries13 материалов

Introductory Material

W (3) WelcomeЧтениеW (3) WelcomeВидео

Knowledge Section

KV1 (3) Cost and Energy Efficiency with CPUs.ВидеоKE1 (3) Cost and Energy Efficiency with CPUsЗаданиеKV2 (3) Challenges of Increasing Model ComplexityВидеоKE2 (3) Challenges of Increasing Model ComplexityЗаданиеKV3 (3) Graph-Based ComputationВидеоKE3 (3) Graph-Based ComputationЗаданиеKV4 (3) Execution Modes and Compilation TechniquesВидеоKE4 (3) Execution Modes and Compilation TechniquesЗаданиеKV5 (3) Framework EcosystemВидеоKE5 (3) Framework EcosystemЗадание

Skills Section

SV (3) Optimizing Generative AI Workloads on Arm Server ProcessorsВидео
09Skill Assessment 32 материалов

Lesson

Learner Expectations for Skill AssessmentЧтениеCheckpoint 3 of 3: Evaluating Hardware Accelerators for Generative AI PerformanceЗадание
Ways to Evaluate Gen AI Models for Image GenerationЧтение