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New Ways of Working in an AI World · LearnSpace
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New Ways of Working in an AI World

Курс от London Business School
Средний≈ 22.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

While other programmes are organised around AI technologies, this programme is focused on creating value in your business. Throughout the two phases of this programme, you'll gain a solid understanding of the characteristics of the technology and then work to gain clarity regarding your business challenge and your data source, so you can select the appropriate AI technologies to connect the two.

Навыки, которые вы освоите

Machine LearningArtificial IntelligenceAI IntegrationsCase StudiesCommunicationAI EnablementBusiness EthicsDigital TransformationBusiness LeadershipDecision MakingData StrategyOrganizational LeadershipResponsible AITechnology StrategiesStakeholder CommunicationsBusiness StrategyScalabilityArtificial Intelligence and Machine Learning (AI/ML)Leadership StudiesBusiness Transformation

Программа курса

5 модулей · 109 учебных материалов

01Module 1: The business value of AI and ML17 материалов

Programme Orientation

Welcome to The Business of AI programme!ЧтениеCourse overviewЧтениеCourse outlineЧтениеMeet your facultyЧтение

Module 1: The business value of AI and ML

Учитесь у экспертов

Michael A M Davies

Преподаватель курса

New Ways of Working in an AI World
В каталоге вашей программы

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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 22.4 ч

5 модулей

Язык: Английский

Часть программы вашего университета
Module 1: OverviewЧтение
Video 1: What is AI and ML?Чтение
Video 2: The characteristics of AI and MLЧтение
Video 3: Strong vs weak AIЧтение
Video 4: AI and ML application in born - digital vs. born-analog businessesЧтение
Video 5: The limitations of MLЧтение
Video 6: How can AI create value in business?Чтение
Video 7: The practical challenges of adopting AIЧтение
Crowdsourcing activity—Explore AI application in businessОбсуждение
Video 8: Module recapЧтение
Self-study knowledge checkЗадание
Additional readings and resourcesЧтение
Q&A discussion - Module 1Обсуждение
02Module 2: What are AI and ML22 материалов

Module 2 : Content

Module 2: OverviewЧтениеVideo 1: Costs, benefits and trade-offsЧтениеVideo 2: Learning the AI lingo: Why does it matter?ЧтениеVideo 3: Keyvan introductionЧтениеVideo 4: Artificial Intelligence (AI) vs. Machine Learning (ML)ЧтениеVideo 5: Supervised LearningЧтениеVideo 6: Unsupervised LearningЧтениеVideo 7: Reinforcement Learning ЧтениеVideo 8: Features and feature selectionЧтениеVideo 9: Neural Network and Deep LearningЧтениеVideo 10: Fundamentals: The capabilities of MLЧтениеVideo 11: The basic building blocksЧтениеVideo 12: AI platformsЧтениеVideo 13: Enabling technologiesЧтениеVideo 14: DatasetsЧтениеVideo 15: FrameworksЧтениеVideo 16: HardwareЧтениеVideo 17: Innovation trajectoryЧтениеVideo 18: Module recapЧтениеSelf-study knowledge checkЗаданиеOptional readings and resourcesЧтениеQ&A discussion - Module 2Обсуждение
03Module 3: The possibilities of AI21 материалов

Module 3: Overview

Module 3: OverviewЧтениеVideo 1: Case study set up and how to use them effectivelyЧтение

Vodafone Case

Video 2: Vodafone case contextЧтениеVodafone case discussionОбсуждениеVideo 3: Vodafone case key takeawaysЧтение

T-Mobile Case

Video 4: T-Mobile case context ЧтениеT-Mobile case discussionОбсуждениеVideo 5: T-Mobile case key takeawaysЧтение

Domino's case

Video 6: Domino's case contextЧтениеDomino's case discussionОбсуждениеVideo 7: Domino's case key takeawaysЧтение

Deutsche bank case

Video 8: Deutsche Bank case context ЧтениеDeutsche Bank case discussionОбсуждениеVideo 9: Deutsche Bank case key takeawaysЧтение

Schneider Electric case

Video 10: Schneider Electric case contextЧтениеSchneider Electric case discussionОбсуждениеVideo 11: Schneider Electric key takeaways Чтение

Module Recap

Video 12: Module recapЧтениеSelf-study knowledge checkЗаданиеModule 3: Optional readings and resourcesЧтениеQ&A discussion - Module 3Обсуждение
04Module 4: Leveraging AI to create value27 материалов

Module 4: Content

Module 4: OverviewЧтениеVideo 1: Accelerate the appropriate adoption of AI and MLЧтениеVideo 2: Businesses are finding AI hard to adoptЧтениеVideo 3: Navigating the route to innovation with AIЧтениеVideo 4: Adoption of AI and ML – Costs and benefits ЧтениеAdoption of AI and ML – Costs and benefits ОбсуждениеVideo 5: Targeting the right business challenges and opportunitiesЧтениеVideo 6: Putting together the teamЧтениеVideo 7: The central importance of data engineeringЧтениеVideo 8: Anticipating and preparing for AI integration challengesЧтениеVideo 9: Intro and quick draw gameЧтениеVideo 10: Explaining AI algorithmsЧтениеVideo 11: Ethical dilemmas (a poll)ЧтениеVideo 12: Algorithm or humanЧтениеVideo 13: Why could algorithms produce biased results?ЧтениеVideo 14: The First Bank of London case - Step 1ЧтениеActivity: The First Bank of London case - Step 2ОбсуждениеVideo 15: Data investigationЧтениеVideo 16: How should we use algorithms in real life?ЧтениеVideo 17: Ethical use of AIЧтениеHow much would you rely on the algorithm?ОбсуждениеVideo 18: Build vs. BuyЧтениеDesign a decision matrixОбсуждениеVideo 19: Module recapЧтениеSelf-study knowledge checkЗаданиеModule 4: Additional readings and resourcesЧтениеQ&A discussion - Module 4Обсуждение
05Module 5: Building AI capacity22 материалов

Module 5: Content

Module 5: OverviewЧтениеVideo 1: The four horsemen of the AI apocalypseЧтениеVideo 2: The value of ambidexterityЧтениеCrowdsourcing activityОбсуждениеVideo 3: Make the organisational mindset shift to see data as an asset ЧтениеVideo 4: Sharing the learning about algorithms and modelsЧтениеVideo 5: Getting broader buy-in ЧтениеVideo 6: Recruit, develop and retain top AI talentsЧтениеVideo 7: Accessibility, inclusion and diversityЧтениеVideo 8: Overhauling organisational competences and capabilitiesЧтениеVideo 9: Putting together all of the pieces of the puzzleЧтениеVideo 10: Strategic implications of AI and MLЧтениеVideo 11: How to win with machine learningЧтениеVideo 12: Key leadership behaviors ЧтениеStrategic implication of implementing AI at scaleОбсуждениеVideo 13: Social, societal, political and environmental implications of AI and MLЧтениеVideo 14: AI: A New hopeЧтениеVideo 15: Module recapЧтениеSelf-study knowledge checkЗаданиеModule 5: Additional readings and resourcesЧтениеModule 5: Q&A discussionОбсуждение

Final assessment

Final AssessmentЗадание