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
Applying Generative AI in Consulting · LearnSpace
Назад в каталог
courseraБизнес

Applying Generative AI in Consulting

Курс от Coursera
Уровень не указан≈ 10.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Applying Generative AI in Consulting gives you the practical, adaptable skills to use AI effectively across the full consulting workflow—from early analysis to communication to system testing. By the end of this course, you’ll be able to summarize complex client materials, accelerate problem framing, draft polished project communications, and generate synthetic data to support testing and prototyping. These capabilities reflect how modern consultants increasingly rely on generative AI to work faster, think sharper, and deliver clearer insights. What makes this course unique is its multi-author, multi-tool design. You’ll learn from Google, SkillUp, Kennesaw State University, and Microsoft, each offering a different lens on how generative AI enhances professional work. As you move through four connected modules, you’ll see how AI supports every stage of a project: extracting insights, structuring problems, crafting deliverables, and preparing data for downstream technical tasks. With exposure to a wide range of AI tools—from ChatGPT and Gemini to Canva, ClickUp, and Power BI—you’ll build flexible, tool-agnostic skills that mirror real consulting environments.

Навыки, которые вы освоите

Technical CommunicationBusiness ConsultingSpreadsheet SoftwareData EthicsAI literacyData SynthesisResponsible AIProduct ManagementAI WorkflowsMicrosoft CopilotConsultingCommunicationProduct Lifecycle ManagementData AnalysisGoogle GeminiAI IntegrationsGenerative AICustomer experience improvementExcel Formulas

Программа курса

6 модулей · 70 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
02Speed up data analysis and presentation building12 материалов

Uncover insights from data

Find and present insights with AIВидео

Учитесь у экспертов

Professionals from the Industry

Преподаватель курса

Applying Generative AI in Consulting
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

≈ 10.4 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Индонезийский, Шведский, Турецкий, Испанский, Японский, Польский

Часть программы вашего университета
Use AI to uncover hidden patterns in dataВидео
AI IRL: Accelerate analytical tasks with AI by your sideВидео
Strategies for data analysisЧтение
Activity: Extract data insights with gen AIЗадание

Understand and visualize your data

Decipher spreadsheetsВидеоDecipher almost anything with the help of AI ЧтениеBring data to life with visualizationsВидео

Build compelling presentations

Get a head start on presentation speaker notesВидеоReceive instant feedback on a presentationВидеоAI IRL: Explore the capabilities and limitations of AIВидеоFine-tune gen AI outputs by adjusting tool settingsЧтение
03Product Management and Generative AI24 материалов

The AI Impact on the Product Lifecycle

Generative AI for Product Management ВидеоReading: Top Generative AI Tools for Product Management PLUGINLeveraging the Power of Generative AI ВидеоReading: The Power of PromptsPLUGINIntegrating Generative AI: Role of a Product ManagerВидеоChallenges with Generative AI ВидеоReading: Generative AI in Product Management: Case Study PLUGINHands-on Lab: Getting Hands-on with a Simple Generative AI Model PLUGINLesson 1 Practice Quiz: The AI Impact on the Product LifecycleЗаданиеLesson 1 Summary: The AI Impact on the Product LifecycleЧтение

Generative AI Across the Product Lifecycle

Ensuring Generative AI Process SuccessВидеоReading: Leveraging Generative AI across the Product Lifecycle PLUGINReading: Implementing a New Generative AI SystemPLUGINImproving Communications and Collaboration using Generative AIВидеоLab: Analyze AI Opportunities During the Product Concept PhasePLUGINStreamlining Tasks with Generative AIВидео

Glossary and Assessment

Reading: Module 1 Glossary: Product Management and Generative AIPLUGIN
04Main Content9 материалов
Introducing the "Rhet Shot" Prompt Engineering ModelВидеоUse Case: Creating Charts and GraphsВидеоUse Case ReviewВидеоRemaining Steps in "Rhet Shot" Prompt Engineering ModelВидеоUse Case: Creating Meeting Agendas and SummariesВидеоUse Case: Creating Social Media PostsВидеоFinal Thoughts and InstructionsВидеоCourse Readings/SlidesЧтениеCourse Notes and Resource LinksЧтение
05Synthetic data generation21 материалов

What is synthetic data and why use it?

Data Processing and Optimization with Generative AI syllabusЧтениеGenAI Tools for Data Analysis: A Practical GuideЧтениеThe data dilemma: When real data isn't enoughВидеоIntroducing synthetic data: The artificial twinВидеоSynthetic data: Unlocking new possibilitiesЧтениеSynthetic data in real-world applicationsВидеоIndentifying synthetic data use casesЗадание

How generative AI creates synthetic data

The synthetic data factory: How GenAI makes it happenВидеоThe ethical landscape of synthetic data: Navigating privacy and fairness concernsЧтениеDemo: The magic behind synthetic data: Generative AI in actionВидеоThe art of synthetic data generation: GANs vs. VAEsЧтениеUnderstanding synthetic data generationЗадание

Applying generative AI to create synthetic data

The synthetic data superhero: Saving the day with fake dataВидеоDemo: Hands-on synthetic data creation: A guided tourВидеоSynthetic data in Python: A practical tutorialВидеоBest practices for synthetic data creation: Dos and don'tsЧтениеGenerating synthetic data with GenAI toolsЗадание

Assessing the quality of synthetic data

The data detective evaluates synthetic data: Real or fake?ВидеоSynthetic data in actionЧтениеComparative analysis: Synthetic vs. real dataВидеоMeasuring synthetic data quality: Metrics and benchmarksЧтение
06Skill Assessment2 материалов

Lesson

Learner Expectations for Skill AssessmentЧтениеApplying Generative AI in Consulting - AssessmentЗадание
Hands-on Lab: Streamline Tasks using Generative AIPLUGIN
Generating Ideas with Generative AIВидео
Hands-on Lab: Generate Ideas with Generative AI PLUGIN
Improving Customer Experiences with Generative AIВидео
Hands-on Lab: Improve Customer Experience using Generative AIPLUGIN
Lesson 2 Practice Quiz: Generative AI Across the Product LifecycleЗадание
Lesson 2 Summary: Generative AI Across the Product LifecycleЧтение